ERC FUNDED PROJECTS

This project aims at promoting sustainable combustion technologies for transport via validation of advanced combustion kinetic models obtained using sophisticated new laboratory experiments, engines, and theoretical computations, breaking through the current frontier of knowledge. It will focus on the unexplored kinetics of ignition and combustion of 2nd generation (2G) biofuels and blends with conventional fuels, which should provide energy safety and sustainability to Europe. The motivation is that no accurate kinetic models are available for the ignition, oxidation and combustion of 2G-biofuels, and improved ignition control is needed for new compression ignition engines. Crucial information is missing: data from well characterised experiments on combustion-generated pollutants and data on key-intermediates for fuels ignition in new engines. To provide that knowledge new well-instrumented complementary experiments and kinetic modelling will be used. Measurements of key-intermediates, stables species, and pollutants will be performed. New ignition control strategies will be designed, opening new technological horizons. Kinetic modelling will be used for rationalising the results. Due to the complexity of 2G-biofuels and their unusual composition, innovative surrogates will be designed. Kinetic models for surrogate fuels will be generalised for extension to other compounds. The experimental results, together with ab-initio and detailed modelling, will serve to characterise the kinetics of ignition, combustion, and pollutants formation of fuels including 2G biofuels, and provide relevant data and models. This research is risky because this is (i) the 1st effort to measure radicals by reactor/CRDS coupling, (ii) the 1st effort to use a μ-channel reactor to build ignition databases for conventional and bio-fuels, (iii) the 1st effort to design and use controlled generation and injection of reactive species to control ignition/combustion in compression ignition engines

2 498 450 €

Start date: 2011-12-01, End date: 2016-11-30

The objective of this proposal is to determine the unknown criteria for convective cross-flow in bicontinuous interfacially jammed emulsion gels (bijels). Based on this, we will answer the question: Can continuously operated interfacial catalysis be realized in bijel cross-flow reactors? Demonstrating this potential will introduce a broadly applicable chemical technology, replacing wasteful chemical processes that require organic solvents. We will achieve our objective in three steps: (a) Control over bijel structure and properties. Bijels will be formed with a selection of functional inorganic colloidal particles. Nanoparticle surface modifications will be developed and extensively characterized. General principles for the parameters determining bijel structures and properties will be established based on confocal and electron microscopy characterization. These principles will enable unprecedented control over bijel formation and will allow for designing desired properties. (b) Convective flow in bijels. The mechanical strength of bijels will be tailored and measured. With mechanically robust bijels, the influence of size and organization of oil/water channels on convective mass transfer in bijels will be investigated. To this end, a bijel mass transfer apparatus fabricated by 3d-printing of bijel fibers and soft photolithography will be introduced. In conjunction with the following objective, the analysis of convective flows in bijels will facilitate a thorough description of their structure/function relationships. (c) Biphasic chemical reactions in STrIPS bijel cross-flow reactors. First, continuous extraction in bijels will be realized. Next, conditions to carry out continuously-operated, phase transfer catalysis of well-known model reactions in bijels will be determined. Both processes will be characterized in-situ and in 3-dimensions by confocal microscopy of fluorescent phase transfer reactions in transparent bijels.

1 905 000 €

Start date: 2019-06-01, End date: 2024-05-31

The realization of “the internet of things” is inevitably constrained at the level of miniaturization that can be achieved in the electronic devices. A variety of technologies are now going through a process of miniaturization from micro-electromechanical systems (MEMS) to biomedical sensors, and actuators. The ultimate goal is to combine several components in an individual multifunctional platform, realizing on-chip technology. Devices have to be constrained to small footprints and exhibit high performance. Thus, the miniaturization process requires the introduction of new manufacturing processes to fabricate devices in the 3D space over small areas. 3D printing via robocasting is emerging as a new manufacturing technique, which allows shaping virtually any materials from polymers to ceramic and metals into complex architectures. The goal of this research is to establish a 3D printing paradigm to produce miniaturized complex shape devices with diversified functions for on-chip technologies adaptable to “smart environment” such as flexible substrates, smart textiles and biomedical sensors. The elementary building blocks of the devices will be two-dimensional nanomaterials, which present unique optical, electrical, chemical and mechanical properties. The synergistic combination of the intrinsic characteristics of the 2D nanomaterials and the specific 3D architecture will enable advanced performance of the 3D printed objects. This research programme will demonstrate 3D miniaturized energy storage and energy conversion units fabricated with inks produced using a pilot plant. These units are essential components of any on-chip platform as they ensure energy autonomy via self-powering. Ultimately, this research will initiate new technologies based on miniaturized 3D devices.

1 999 968 €

Start date: 2019-09-01, End date: 2024-08-31

Advanced capitalist economies experience large and persistent movements in asset prices that are difficult to justify with economic fundamentals. The internet bubble of the 1990s and the real state market bubble of the 2000s are two recent examples. The predominant view is that these bubbles are a market failure, and are caused by some form of individual irrationality on the part of market participants. This project is based instead on the view that market participants are individually rational, although this does not preclude sometimes collectively sub-optimal outcomes. Bubbles are thus not a source of market failure by themselves but instead arise as a result of a pre-existing market failure, namely, the existence of pockets of dynamically inefficient investments. Under some conditions, bubbles partly solve this problem, increasing market efficiency and welfare. It is also possible however that bubbles do not solve the underlying problem and, in addition, create negative side-effects. The main objective of this project is to develop this view of asset bubbles, and produce an empirically-relevant macroeconomic framework that allows us to address the following questions: (i) What is the relationship between bubbles and financial market frictions? Special emphasis is given to how the globalization of financial markets and the development of new financial products affect the size and effects of bubbles. (ii) What is the relationship between bubbles, economic growth and unemployment? The theory suggests the presence of virtuous and vicious cycles, as economic growth creates the conditions for bubbles to pop up, while bubbles create incentives for economic growth to happen. (iii) What is the optimal policy to manage bubbles? We need to develop the tools that allow policy makers to sustain those bubbles that have positive effects and burst those that have negative effects.

1 000 000 €

Start date: 2010-04-01, End date: 2015-03-31

The main objective of this research project is to contribute at bridging the gap between the two main branches of financial theory, namely corporate finance and asset pricing. It is motivated by the conviction that these two aspects of financial activity should and can be analyzed within a unified framework. This research will borrow from these two approaches in order to construct theoretical models that allow one to analyze the design and issuance of financial securities, as well as the dynamics of their valuations. Unlike asset pricing, which takes as given the price of the fundamentals, the goal is to derive security price processes from a precise description of firm’s operations and internal frictions. Regarding the latter, and in line with traditional corporate finance theory, the analysis will emphasize the role of agency costs within the firm for the design of its securities. But the analysis will be pushed one step further by studying the impact of these agency costs on key financial variables such as stock and bond prices, leverage, book-to-market ratios, default risk, or the holding of liquidities by firms. One of the contributions of this research project is to show how these variables are interrelated when firms and investors agree upon optimal financial arrangements. The final objective is to derive a rich set of testable asset pricing implications that would eventually be brought to the data.

1 000 000 €

Start date: 2008-11-01, End date: 2014-10-31

With the recognition that wind energy will become an important contributor to the world’s energy portfolio, several wind farms with a capacity of over 1 gigawatt are in planning phase. In the past, engineering of wind farms focused on a bottom-up approach, in which atmospheric wind availability was considered to be fixed by climate and weather. However, farms of gigawatt size slow down the Atmospheric Boundary Layer (ABL) as a whole, reducing the availability of wind at turbine hub height. In Denmark’s large off-shore farms, this leads to underperformance of turbines which can reach levels of 40%–50% compared to the same turbine in a lone-standing case. For large wind farms, the vertical structure and turbulence physics of the flow in the ABL become crucial ingredients in their design and operation. This introduces a new set of scientific challenges related to the design and control of large wind farms. The major ambition of the present research proposal is to employ optimal control techniques to control the interaction between large wind farms and the ABL, and optimize overall farm-power extraction. Individual turbines are used as flow actuators by dynamically pitching their blades using time scales ranging between 10 to 500 seconds. The application of such control efforts on the atmospheric boundary layer has never been attempted before, and introduces flow control on a physical scale which is currently unprecedented. The PI possesses a unique combination of expertise and tools enabling these developments: efficient parallel large-eddy simulations of wind farms, multi-scale turbine modeling, and gradient-based optimization in large optimization-parameter spaces using adjoint formulations. To ensure a maximum impact on the wind-engineering field, the project aims at optimal control, experimental wind-tunnel validation, and at including multi-disciplinary aspects, related to structural mechanics, power quality, and controller design.

1 499 241 €

Start date: 2012-10-01, End date: 2017-09-30

Space exploration is one of boldest and most exciting endeavors that humanity has undertaken, and it holds enormous promise for the future. Our next challenges for the spatial conquest include bringing back samples to Earth by means of robotic missions and continuing the manned exploration program, which aims at sending human beings to Mars and bring them home safely. Inaccurate prediction of the heat-flux to the surface of the spacecraft heat shield can be fatal for the crew or the success of a robotic mission. This quantity is estimated during the design phase. An accurate prediction is a particularly complex task, regarding modelling of the following phenomena that are potential “mission killers:” 1) Radiation of the plasma in the shock layer, 2) Complex surface chemistry on the thermal protection material, 3) Flow transition from laminar to turbulent. Our poor understanding of the coupled mechanisms of radiation, ablation, and transition leads to the difficulties in flux prediction. To avoid failure and ensure safety of the astronauts and payload, engineers resort to “safety factors” to determine the thickness of the heat shield, at the expense of the mass of embarked payload. Thinking out of the box and basic research are thus necessary for advancements of the models that will better define the environment and requirements for the design and safe operation of tomorrow’s space vehicles and planetary probes for the manned space exploration. The three basic ingredients for predictive science are: 1) Physico-chemical models, 2) Computational methods, 3) Experimental data. We propose to follow a complementary approach for prediction. The proposed research aims at: “Integrating new advanced physico-chemical models and computational methods, based on a multidisciplinary approach developed together with physicists, chemists, and applied mathematicians, to create a top-notch multiphysics and multiscale numerical platform for simulations of planetary atmosphere entries, crucial to the new challenges of the manned space exploration program. Experimental data will also be used for validation, following state-of-the-art uncertainty quantification methods.”

1 494 892 €

Start date: 2010-09-01, End date: 2015-08-31

1.2 billion people worldwide lack access to safe drinking water. Drinking water quality is threatened by newly emerging organic micro-pollutants (pesticides, pharmaceuticals, industrial chemicals) in source waters. Nanofiltration is a technology that is expected to play a key role in future water treatment processes due to its effectiveness in removal of micropollutants. However, the loss of membrane flux due to fouling is one of the main impediments in the development of membrane processes for use in drinking water treatment. Currently there is a wholly inadequate mechanistic understanding of the role of biofilm on the fouling of nanofiltration membranes. Applying techniques including confocal microscopy, force spectroscopy, and infrared spectroscopy using an experimental programme informed by a technique known as scale-down together with mathematical modelling, it is confidently expected that significant advances will be gained in the mechanistic understanding of nanofiltration biofouling. The specific objectives are 1. How is the rate of formation and extent of such biofilms influenced by the biological response to the local microenvironment? 2 Elucidate the effect of extracellular polysaccharide substances on physical properties, composition and structure of these biofilms. 3: Investigate mechanisms to enhance biofilm removal by a physical detachment process complemented by techniques that alter biofilm material properties. A more fundamental insight into the mechanisms of nanofiltration operation will help in further development of this treatment method in future water treatment processes.

1 468 987 €

Start date: 2011-10-01, End date: 2016-09-30

Rates of domestic violence and the relative risk of premature death for women are higher in sub-Saharan Africa than in any other region. Yet we know remarkably little about the economic forces, incentives and constraints that drive discrimination against women in this region, making it hard to identify policy levers to address the problem. This project will help fill this gap. I will investigate gender discrimination from two complementary perspectives. First, through the lens of economic history, I will investigate the forces driving trends in women’s relative well-being since slavery. To quantify the evolution of well-being of sub-Saharan women relative to men, I will use three types of historical data: anthropometric indicators (relative height), vital statistics (to compute numbers of missing women), and outcomes of formal and informal family law disputes. I will then investigate how major economic developments and changes in family laws differentially affected women’s welfare across ethnic groups with different norms on women’s roles and rights. Second, using intra-household economic models, I will provide new insights into domestic violence and gender bias in access to crucial resources in present-day Africa. I will develop a new household model that incorporates gender identity and endogenous outside options to explore the relationship between women’s empowerment and the use of violence. Using the notion of strategic delegation, I will propose a new rationale for the separation of budgets often observed in African households and generate predictions of how improvements in women’s outside options affect welfare. Finally, with first hand data, I will investigate intra-household differences in nutrition and work effort in times of food shortage from the points of view of efficiency and equity. I will use activity trackers as an innovative means of collecting high quality data on work effort and thus overcome data limitations restricting the existing literature

1 499 313 €

Start date: 2018-08-01, End date: 2023-07-31

This proposal aims to develop a generic synthesis approach for core-shell nanoparticles by unravelling the relevant mechanisms. Core-shell nanoparticles have high potential in heterogeneous catalysis, energy storage, and medical applications. However, on a fundamental level there is currently a poor understanding of how to produce such nanostructured particles in a controllable and scalable manner. The main barriers to achieving this goal are understanding how nanoparticles agglomerate to loose dynamic clusters and controlling the agglomeration process in gas flows during coating, such that uniform coatings can be made. This is very challenging because of the two-way coupling between agglomeration and coating. During the coating we change the particle surfaces and thus the way the particles stick together. Correspondingly, the stickiness of particles determines how easy reactants can reach the surface. Innovatively the project will be the first systematic study into this multi-scale phenomenon with investigations at all relevant length scales. Current synthesis approaches – mostly carried out in the liquid phase – are typically developed case by case. I will coat nanoparticles in the gas phase with atomic layer deposition (ALD): a technique from the semi-conductor industry that can deposit a wide range of materials. ALD applied to flat substrates offers excellent control over layer thickness. I will investigate the modification of single particle surfaces, particle-particle interaction, the structure of agglomerates, and the flow behaviour of large number of agglomerates. To this end, I will apply a multidisciplinary approach, combining disciplines as physical chemistry, fluid dynamics, and reaction engineering.

1 409 952 €

Start date: 2011-12-01, End date: 2016-11-30

In the last ten years there has been a surge of interest in non-modal analysis applied to canonical problems in fundamental fluid mechanics. Even in simple flows, the stability behaviour predicted by non-modal analysis can be completely different from and far more accurate than that predicted by conventional eigenvalue analysis. As well as being more accurate, the tools of non-modal analysis, such as Lagrangian optimization, are very versatile. Furthermore, the outputs, such as receptivity and sensitivity maps of a flow, provide powerful insight for engineers. They describe where a flow is most receptive to forcing or where the flow is most sensitive to modification. The application of non-modal analysis to canonical problems has set the scene for step changes in engineering practice in fluid mechanics and thermoacoustics. The technical objectives of this proposal are to apply non-modal analysis to high Reynolds number flows, reacting flows and thermoacoustic systems, to compare theoretical predictions with experimental measurements and to embed these techniques within an industrial design tool that has already been developed by the group. This research group s vision is that future generations of engineering CFD tools will contain modules that can perform non-modal analysis. The generalized approach proposed here, combined with challenging scientific and engineering examples that are backed up by experimental evidence, will make this possible and demonstrate it to a wider engineering community.

1 301 196 €

Start date: 2010-12-01, End date: 2016-06-30

Carbon dioxide capture and storage is a technology to mitigate climate change by removing CO2 from flue gas streams or the atmosphere and storing it in geological formations. While CO2 removal from natural gas by amine scrubbing is implemented on the large scale, the cost of such process is currently prohibitively expensive. Inexpensive alkali earth metal oxides (MgO and CaO) feature high theoretical CO2 uptakes, but suffer from poor cyclic stability and slow kinetics. Yet, the key objective of recent research on alkali earth metal oxide based CO2 sorbents has been the processing of inexpensive, naturally occurring CO2 sorbents, notably limestone and dolomite, to stabilize their modest CO2 uptake and to establish re-activation methods through engineering approaches. While this research demonstrated a landmark Megawatt (MW) scale viability of the process, our fundamental understanding of the underlying CO2 capture, regeneration and deactivation pathways did not improve. The latter knowledge is, however, vital for the rational design of improved, yet practical CaO and MgO sorbents. Hence this proposal is concerned with obtaining an understanding of the underlying mechanisms that control the ability of an alkali metal oxide to capture a large quantity of CO2 with a high rate, to regenerate and to operate with high cyclic stability. Achieving these aims relies on the ability to fabricate model structures and to characterize in great detail their surface chemistry, morphology, chemical composition and changes therein under reactive conditions. This makes the development of operando and in situ characterization tools an essential prerequisite. Advances in these areas shall allow achieving the overall goal of this project, viz. to formulate a roadmap to fabricate improved CO2 sorbents through their precisely engineered structure, composition and morphology.

1 994 900 €

Start date: 2019-06-01, End date: 2024-05-31

This project will engineer an injectable biomaterial that forms an anisotropic microheterogeneous structure in vivo. Injectable hydrogels enable a minimal invasive in situ generation of matrices for the regeneration of tissues and organs, but currently lack structural organization and unidirectional orientation. The anisotropic, injectable hydrogels to be developed will mimic local extracellular matrix architectures that cells encounter in complex tissues (e.g. nerves, muscles). This project aims for the development of a biomimetic scaffold for spinal cord regeneration. To realize such a major breakthrough, my group will focus on three research objectives. i) Poly(ethylene glycol) microgel-in-hydrogel matrices will be fabricated with the ability to create macroscopic order due to microgel shape anisotropy and magnetic alignment. Barrel-like microgels will be prepared using an in-mold polymerization technique. Their ability to self-assemble will be investigated in function of their dimensions, aspect ratio, crosslinking density, and volume fraction. Superparamagnetic nanoparticles will be included into the microgels to enable unidirectional orientation by means of a magnetic field. Subsequently, the oriented microgels will be interlocked within a master hydrogel. ii) The microgel-in-hydrogel matrices will be equipped with (bio)functional properties for spinal cord regeneration, i.e., to control and optimize mechanical anisotropy and biological signaling by in vitro cell growth experiments. iii) Selected hydrogel composites will be injected after rat spinal cord injury and directional tissue growth and animal functional behavior will be analyzed. Succesful fabrication of the proposed microgel-in-hydrogel matrix will provide a new type of biomaterial, which enables investigating the effect of an anisotropic structure on physiological and pathological processes in vivo. This is a decisive step towards creating a clinical healing matrix for anisotropic tissue repair.

1 435 396 €

Start date: 2015-03-01, End date: 2020-02-29

"A conventional assumption in dynamic models is that agents form their expectations in a very sophisticated manner. In particular, that they have Rational Expectations (RE). We develop some tools to relax this assumption while retaining fully optimal behaviour by agents. We study implications for asset pricing and macro policy. We assume that agents have a consistent set of beliefs that is close, but not equal, to RE. Agents are ""Internally Rational"", that is, they behave rationally given their system of beliefs. Thus, it is conceptually a small deviation from RE. It provides microfoundations for models of adaptive learning, since the learning algorithm is determined by agents’ optimal behaviour. In previous work we have shown that this framework can match stock price and housing price fluctuations, and that policy implications are quite different. In this project we intend to: i) develop further the foundations of internally rational (IR) learning, ii) apply this to explain observed asset price price behavior, such as stock prices, bond prices, inflation, commodity derivatives, and exchange rates, iii) extend the IR framework to the case when agents entertain various models, iv) optimal policy under IR learning and under private information when some hidden shocks are not revealed ex-post. Along the way we will address policy issues such as: effects of creating derivative markets, sovereign spread as a signal of sovereign default risk, tests of fiscal sustainability, fiscal policy when agents learn, monetary policy (more specifically, QE measures and interest rate policy), and the role of credibility in macro policy."

1 970 260 €

Start date: 2013-06-01, End date: 2018-08-31

The idea of mechanical actuator based on intrinsic material properties of liquid-crystalline elastomers (rather than complex engineering of interacting components) has been understood for 20+ years. The remarkable characteristics of LCE actuation (fully reversible action; large-amplitude, with a stroke of 5%-300%; stress-strain-speed response almost exactly matching the human muscle) make it highly attractive in biomedical engineering, robotics, smart textiles, and other fields. Yet, there is a profound difficulty (bottleneck), which remains the reason why this concept has not found its way into any practical devices & applications. LCE actuation requires alignment (monodomain structure) of the local anisotropy in the permanently crosslinked polymer network - which has been impossible to achieve in any useful large-scale configuration except the flat film, due to the unavoidable restrictions of two competing processes: orientational alignment and network crosslinking. Recently, we made a breakthrough, developing LCE vitrimers (polymer networks covalently crosslinked by a bond-exchange reaction). Vitrimers are much more stable than other transient elastomer networks, allow easy thermal re-moulding (making the material fully renewable), and permit molding of complex shapes with intricate local alignment (which are impossible in traditional elastomers). This project will bridge from the concept to technology, tuning the material design for robust nematic LCE vitrimers, imparting photo-actuation capacity with a controlled wavelength, and finally utilising them in practical-engineering actuator applications where the reversible mechanical action is stimulated by light, solvent exposure, or more traditionally - heat. These applications include (but not limited to): continuous spinning light-driven motor, tactile dynamic Braille display, capillary pump and toggle flow switch for microfuidics, active textile fibre, and heliotracking filament that always points at the Sun.

2 012 136 €

Start date: 2018-10-01, End date: 2023-09-30

The aim of this project is to develop and to demonstrate a novel theoretical framework devoted to rationalizing the formulation of composite electrodes containing next-generation material chemistries for high energy density secondary batteries. The framework will be established through the combination of discrete particle and continuum mathematical models within a multiscale computational workflow integrating the individual models and mimicking the different steps along the electrode fabrication process, including slurry preparation, drying and calendering. Strongly complemented by dedicated experimental characterizations which are devoted to its validation, the goal of this framework is to provide insights about the impacts of material properties and fabrication process parameters on the electrode mesostructures and their corresponding correlation to the resulting electrochemical performance. It targets self-organization mechanisms of material mixtures in slurries by considering the interactions between the active and conductive materials, solvent, binders and dispersants and the relationship between the materials properties such as surface chemistry and wettability. Optimal electrode formulation, fabrication process and the arising electrode mesostructure can then be achieved. Additionally, the framework will be integrated into an online and open access infrastructure, allowing predictive direct and reverse engineering for optimized electrode designs to attain high quality electrochemical performances. Through the demonstration of a multidisciplinary, flexible and transferable framework, this project has tremendous potential to provide insights leading to proposals of new and highly efficient industrial techniques for the fabrication of cheaper and reliable next-generation secondary battery electrodes for a wide spectrum of applications, including Electric Transportation.

1 976 445 €

Start date: 2018-04-01, End date: 2023-03-31

The identification of degradation pathways relevant for organic micropollutants in biological wastewater treatment processes is currently a major gap, preventing a profound evaluation of the capability of biological wastewater treatment. By elucidating the responsible enzymatic reactions of mixed microbial populations this project will cover this gap and thereby allow finding technical solutions that harness the true potential of biological processes for an enhanced biodegradation and detoxification. Due to the multi-disciplinary approach Athene will have impacts on the fields of biological wastewater treatment, analytical and environmental chemistry, environmental microbiology, water and (eco)toxicity. The multi-disciplinary approach of the project requires the involvement of a co-investigator experienced in process engineering and microbiology in wastewater treatment. Athene will go far beyond state-of-the-art in the following fields: a) efficiency in chemical analysis and structure identification of transformation products at environmental relevant concentrations; b) identification of enzymatic pathways relevant for micropollutant degradation in biological wastewater treatment; c) designing innovative technical solutions to maximize biodegradation; d) map and model relevant enzymatic pathways for environmental concentrations. Furthermore, designing biological wastewater treatment processes by understanding enzymatic pathways relevant for organic micropollutants removal represents a paradigm shift for municipal wastewater treatment. In the context of the actual scientific discussion about the relevance of trace organics in the aquatic environment and in drinking water, this topic is deemed as highly innovative: for its potential of proposing new technical options as well as for the gain in understanding compound persistency. Finally enzymatic reactions as well as the treatment schemes will be assessed for there capability to reduce toxiciological effects.

3 473 400 €

Start date: 2011-04-01, End date: 2017-03-31

Since the invention of the spinning frame, automation has been one of the drivers of economic growth. Yet, workers, economist or the general public have been concerned that automation may destroy jobs or create inequality. This concern is particularly prevalent today with the sustained rise in economic inequality and fast technological progress in IT, robotics or self-driving cars. The empirical literature has showed the impact of automation on income distribution. Yet, the level of wages itself should also affect the incentives to undertake automation innovations. Understanding this feedback is key to assess the long-term effect of policies. My project aims to provide the first quantitative account of the two-way relationship between automation and the income distribution. It is articulated around three parts. First, I will use patent data to study empirically the causal effect of wages on automation innovations. To do so, I will build firm-level variation in the wages of the customers of innovating firms by exploiting variations in firms’ exposure to international markets. Second, I will study empirically the causal effect of automation innovations on wages. There, I will focus on local labour market and use the patent data to build exogenous variations in local knowledge. Third, I will calibrate an endogenous growth model with firm dynamics and automation using Danish firm-level data. The model will replicate stylized facts on the labour share distribution across firms. It will be used to compute the contribution of automation to economic growth or the decline of the labour share. Moreover, as a whole, the project will use two different methods (regression analysis and calibrated model) and two different types of data, to answer questions of crucial policy importance such as: Taking into account the response of automation, what are the long-term effects on wages of an increase in the minimum wage, a reduction in labour costs, or a robot tax?

1 295 890 €

Start date: 2018-11-01, End date: 2023-10-31

Lithium ion batteries offer tremendous potential as an enabling technology for sustainable transportation and development. However, their widespread usage as the energy storage solution for electric mobility and grid-level integration of renewables is impeded by the fact that current state-of-the-art lithium ion batteries have energy densities that are too small, charge- and discharge rates that are too low, and costs that are too high. Highly publicized instances of catastrophic failure of lithium ion batteries raise questions of safety. Understanding the limitations to battery performance and origins of the degradation and failure is highly complex due to the difficulties in studying interrelated processes that take place at different length and time scales in a corrosive environment. In the project, we will (1) develop and implement quantitative methods to study the complex interrelations between structure and electrochemistry occurring at the nano-, micron-, and milli-scales in lithium ion battery active materials and electrodes, (2) conduct systematic experimental studies with our new techniques to understand the origins of performance limitations and to develop design guidelines for achieving high performance and safe batteries, and (3) investigate economically viable engineering solutions based on these guidelines to achieve high performance and safe lithium ion batteries.

1 500 000 €

Start date: 2016-05-01, End date: 2021-04-30

"This project will develop a new framework for modeling economic agents having ""boundedly rational expectations"" (BRE). It is based on the concept of Bayesian networks (more generally, graphical models), borrowed from statistics and AI. In the framework's basic version, an agent is characterized by a directed acyclic graph (DAG) over the set of all relevant random variables. The DAG is the agent's ""type"" – it represents how he systematically distorts any objective probability distribution into a subjective belief. Technically, the distortion takes the form of the standard Bayesian-network factorization formula given by the agent's DAG. The agent's choice is modeled as a ""personal equilibrium"", because his subjective belief regarding the implications of his actions can vary with his own long-run behavior. The DAG representation unifies and simplifies existing models of BRE, subsuming them as special cases corresponding to distinct graphical representations. It captures hitherto-unmodeled fallacies such as reverse causation. The framework facilitates behavioral characterizations of general classes of models of BRE and expands their applicability. I will demonstrate this with applications to monetary policy, behavioral I.O., asset pricing, etc. I will extend the basic formalism to multi-agent environments, addressing issues beyond the reach of current models of BRE (e.g., formalizing the notion of ""high-order"" limited understanding of statistical regularities). Finally, I will seek a learning foundation for the graphical representation of BRE, in the sense that it will capture how the agent extrapolates his belief from a dataset (drawn from the objective distribution) containing ""missing values"", via some intuitive ""imputation method"". This part, too, borrows ideas from statistics and AI, further demonstrating the project's interdisciplinary nature."

1 379 288 €

Start date: 2016-07-01, End date: 2021-06-30

The key ideas motivating this project are that: 1) precise control of the properties of porous systems can be obtained by exploiting bacteria and their fantastic abilities; 2) conversely, porous media (large surface to volume ratios, complex structures) could be a major part of bacterial synthetic biology, as a scaffold for growing large quantities of microorganisms in controlled bioreactors. The main scientific obstacle to precise control of such processes is the lack of understanding of biophysical mechanisms in complex porous structures, even in the case of single-strain biofilms. The central hypothesis of this project is that a better fundamental understanding of biofilm biomechanics and physical ecology will yield a novel theoretical basis for engineering and control. The first scientific objective is thus to gain insight into how fluid flow, transport phenomena and biofilms interact within connected multiscale heterogeneous structures - a major scientific challenge with wide-ranging implications. To this end, we will combine microfluidic and 3D printed micro-bioreactor experiments; fluorescence and X-ray imaging; high performance computing blending CFD, individual-based models and pore network approaches. The second scientific objective is to create the primary building blocks toward a control theory of bacteria in porous media and innovative designs of microbial bioreactors. Building upon the previous objective, we first aim to extract from the complexity of biological responses the most universal engineering principles applying to such systems. We will then design a novel porous micro-bioreactor to demonstrate how the permeability and solute residence times can be controlled in a dynamic, reversible and stable way - an initial step toward controlling reaction rates. We envision that this will unlock a new generation of biotechnologies and novel bioreactor designs enabling translation from proof-of-concept synthetic microbiology to industrial processes.

1 649 861 €

Start date: 2019-01-01, End date: 2023-12-31

"This proposal outlines projects to develop robust and portable theories studying the impact of psychological phenomena in economic settings. The proposed work falls in three broad research agendas. My first main agenda is to formally model and economically apply a simple observation: that when people make decisions, they do not focus equally on all attributes of their available options, and overweight the attributes they focus on. I will build a set of portable models of focusing in attribute-based choice and risky choice based on the idea that a person focuses more on attributes in which her options differ more. I will also use the framework to develop novel, focus-based, theories of intertemporal choice and social preferences, as well as analyze the implications of focusing for product design, principal-agent relationships, and other economic questions. My second main agenda is to explore some implications for market outcomes, welfare, and policy of the possibility that consumers misperceive certain aspects of products. I will investigate the circumstances that facilitate the profitable deception of consumers; firms' incentives for ""innovating"" deceptive products, including novel financial products aimed at exploiting investors; how firms' ability to distinguish naive and sophisticated consumers affects the consequences of deception; whether learning on the part of consumers will help them to avoid making mistakes; and how regulators and other observers can detect consumer mistakes from market data. Two further projects apply the model of reference-dependent utility I have developed in earlier work to understand the pricing and advertising behavior of firms. I will also aim to disseminate some of my work, along with other cutting-edge research in psychology and economics, in a Journal of Economic Literature survey on ""Behavioral Contract Theory."""

1 275 448 €

Start date: 2012-11-01, End date: 2018-10-31

In the last decade, solar and photovoltaic (PV) technologies have emerged as a potentially major technology for power generation in the world. So far the PV field has been dominated by silicon devices, even though this technology is still expensive.Dye-sensitized solar cells (DSC) are an important type of thin-film photovoltaics due to their potential for low-cost fabrication and versatile applications, and because their aesthetic appearance, semi-transparency and different color possibilities.This advantageous characteristic makes DSC the first choice for building integrated photovoltaics.Despite their great potential, DSCs for building applications are still not available at commercial level. However, to bring DSCs to a marketable product several developments are still needed and the present project targets to give relevant answers to three key limitations: encapsulation, glass substrate enhanced electrical conductivity and more efficient and low-cost raw-materials. Recently, the proponent successfully addressed the hermetic devices sealing by developing a laser-assisted glass sealing procedure.Thus, BI-DSC proposal envisages the development of DSC modules 30x30cm2, containing four individual cells, and their incorporation in a 1m2 double glass sheet arrangement for BIPV with an energy efficiency of at least 9% and a lifetime of 20 years. Additionally, aiming at enhanced efficiency of the final device and decreased total costs of DSCs manufacturing, new materials will be also pursued. The following inner-components were identified as critical: carbon-based counter-electrode; carbon quantum-dots and hierarchically TiO2 photoelectrode. It is then clear that this project is divided into two research though parallel directions: a fundamental research line, contributing to the development of the new generation DSC technology; while a more applied research line targets the development of a DSC functional module that can be used to pave the way for its industrialization.

1 989 300 €

Start date: 2013-03-01, End date: 2018-08-31

Cavitation is the formation of vapor cavities inside a liquid due to low pressure. Cavitation is an ubiquitous and destructive phenomenon common to most engineering applications that deal with flowing water. At the same time, the extreme conditions realized in cavitation are increasingly exploited in medicine, chemistry, and biology. What makes cavitation unpredictable is its multiscale nature: nucleation of vapor bubbles heavily depends on micro- and nanoscale details; mesoscale phenomena, as bubble collapse, determine relevant macroscopic effects, e.g., cavitation damage. In addition, macroscopic flow conditions, such as turbulence, have a major impact on it. The objective of the BIC project is to develop the lacking multiscale description of cavitation, by proposing new integrated numerical methods capable to perform quantitative predictions. The detailed and physically sound understanding of the multifaceted phenomena involved in cavitation (nucleation, bubble growth, transport, and collapse in turbulent flows) fostered by BIC project will result in new methods for designing fluid machinery, but also therapies in ultrasound medicine and chemical reactors. The BIC project builds upon the exceptionally broad experience of the PI and of his research group in numerical simulations of flows at different scales that include advanced atomistic simulations of nanoscale wetting phenomena, mesoscale models for multiphase flows, and particle-laden turbulent flows. The envisaged numerical methodologies (free-energy atomistic simulations, phase-field models, and Direct Numerical Simulation of bubble-laden flows) will be supported by targeted experimental activities, designed to validate models and characterize realistic conditions.

2 491 200 €

Start date: 2014-02-01, End date: 2019-01-31

According to the European Commission, to design effective policies for ensuring a “more dynamic, innovative and competitive” economy, it is essential to understand the decision-making process of firms as they differ a lot in terms of their capacities and policy responses (EC 2007). The objective of my future research is to provide such an analysis. BIGlobal will examine the sources of firm growth and market power to provide new insights into welfare and policy in a globalized world. Much of analysis of the global economy is set in the paradigm of markets that allocate resources efficiently and there is little role for policy. But big firms dominate economic activity, especially across borders. How do firms grow and what is the effect of their market power on the welfare impact of globalization? This project will determine how firm decisions matter for the aggregate gains from globalization, the division of these gains across different individuals and their implications for policy design. Over the next five years, I will incorporate richer firms behaviour in models of international trade to understand how trade and industrial policies impact the growth process, especially in less developed markets. The specific questions I will address include: how can trade and competition policy ensure consumers benefit from globalization when firms engaged in international trade have market power, how do domestic policies to encourage agribusiness firms affect the extent to which small farmers gain from trade, how do industrial policies affect firm growth through input linkages, and what is the impact of banking globalization on the growth of firms in the real sector. Each project will combine theoretical work with rich data from developing economies to expand the frontier of knowledge on trade and industrial policy, and to provide a basis for informed policymaking.

1 313 103 €

Start date: 2017-12-01, End date: 2022-11-30

Meta-materials, best known for their extraordinary properties (e.g. negative stiffness), are halfway from both materials and structures: their unusual properties are direct results of their complex 3D structures. This project introduces a new class of meta-materials called meta-biomaterials. Meta-biomaterials go beyond meta-materials by adding an extra dimension to the complex 3D structure, i.e. complex and precisely controlled surface nano-patterns. The 3D structure gives rise to unprecedented or rare combination of mechanical (e.g. stiffness), mass transport (e.g. permeability, diffusivity), and biological (e.g. tissue regeneration rate) properties. Those properties optimize the distribution of mechanical loads and the transport of nutrients and oxygen while providing geometrical shapes preferable for tissue regeneration (e.g. higher curvatures). Surface nano-patterns communicate with (stem) cells, control their differentiation behavior, and enhance tissue regeneration. There is one important problem: meta-biomaterials cannot be manufactured with current technology. 3D printing can create complex shapes while nanolithography creates complex surface nano-patterns down to a few nanometers but only on flat surfaces. There is, however, no way of combining complex shapes with complex surface nano-patterns. The groundbreaking nature of this project is in solving that deadlock using the Origami concept (the ancient Japanese art of paper folding). In this approach, I first decorate flat 3D-printed sheets with nano-patterns. Then, I apply Origami techniques to fold the decorated flat sheet and create complex 3D shapes. The sheet knows how to self-fold to the desired structure when subjected to compression, owing to pre-designed joints, crease patterns, and thickness/material distributions that control its mechanical instability. I will demonstrate the added value of meta-biomaterials in improving bone tissue regeneration using in vitro cell culture assays and animal models

1 499 600 €

Start date: 2016-02-01, End date: 2021-01-31

Personalized medicine is a medical model that proposes the customization of healthcare, with decisions and practices being tailored to the individual patient by use of patient-specific information and/or application of patient-specific cell-based therapies. BioBlood aims to deliver personalised healthcare through a “step change” in the clinical field of haemato-oncology. BioBlood represents an engineered bio-inspired integrated experimental/modelling platform for normal and abnormal haematopoiesis that receives disease & patient input (patient primary cells & patient/disease-specific data) and will produce cellular (red blood cell product) and drug (optimal drug treatment) therapies as its output. Blood supply to meet demand is the primary challenge for Blood Banks and requires significant resources to avoid shortages and ensure safety. An alternative, practical and cost-effective solution to conventional donated blood is essential to reduce patient morbidity and mortality, stabilise and guarantee the donor supply, limit multiple donor exposures, reduce risk of infection of known or as yet unidentified pathogens, and ensure a robust and safe turn-around for blood supply management. BioBlood aims to meet this challenge by developing a novel in vitro platform for the mass production of RBCs for clinical use. More than £32b/year is spent to develop and bring new drugs to market, which takes 14 years. Most patients diagnosed with leukaemias are unable to tolerate treatment and would benefit from novel agents. There is a need to optimise current treatment schedules for cancers such as AML to limit toxicities and improve clinical trial pathways for new drugs to enable personalised healthcare. BioBlood’s in vitro & in silico platform would be a powerful tool to tailor treatments in a patient- and leukaemia-specific chemotherapy schedule by considering the level of toxicity to the specific individual and treatment efficiency for the specific leukaemia a priori.

2 498 903 €

Start date: 2014-01-01, End date: 2018-12-31

Given the increasing scarcity of suitable land for development, soil strengthening technologies have emerged in the past decade and go hand-in-hand with the implementation of the majority of foundation solutions. The goal is to alter the soil structure and its mechanical properties for ultimately securing the integrity of structures. The BIOGEOS project puts the focus on bio-mediated soil improvement, which falls within the broader framework of multi-physical processes in geo-mechanics. The goal of the project is to engineer a novel, natural material under controlled processes, for ultimately providing solutions to real problems in the geo-engineering and geo-energy fields by advancing knowledge around complex multi-physical phenomena in porous media. The bio-cemented geo-material, which is produced by carefully integrating the metabolic activity of native soil bacteria, is produced through the bio-mineralization of calcite bonds, which act as natural cementation for endowing the subsurface with real cohesion and increased resistance. A principal characteristic of the project is its multi-scale approach through advanced experimentation to identify the main physical mechanisms involved in the formation of the bio-mineralized bonds and their behaviour under mechanical loading. The development of such a bio-mediated technology will lead to innovative applications in a series of engineering problems such as the restoration of weak foundations, seismic retrofitting, erosion protection, and the enhancement of heat transfer in thermo-active geo-structures. The project foresees to adopt multiple loading conditions for its laboratory characterization and ultimately pass to the large experimental scale. BIOGEOS further aims to provide new knowledge around the way we perceive materials in relation with their micro-structure by implementing state-of-the-art inspection of the material’s structure in 3D space and subsequent prediction of their behaviour through numerical tools.

2 497 115 €

Start date: 2018-11-01, End date: 2023-10-31

Brain-inspired (neuromorphic) computing has recently demonstrated advancements in pattern and image recognition as well as classification of unstructured (big) data. However, the volatility and energy required for neuromorphic devices presented to date significantly complicate the path to achieve the interconnectivity and efficiency of the brain. In previous work, recently published in Nature Materials, the PI has demonstrated a low-cost solution to these drawbacks: an organic artificial synapse as a building-block for organic neuromorphics. The conductance of this single synapse can be accurately tuned by controlled ion injection in the conductive polymer, which could trigger unprecedented low-energy analogue computing. Hence, the major challenge in the largely unexplored field of organic neuromorphics, is to create an interconnected network of these synapses to obtain a true neuromorphic array which will not only be exceptionally pioneering in materials research for neuromorphics and machine-learning, but can also be adopted in a multitude of vital medical research devices. BIOMORPHIC will develop a unique brain-inspired organic lab-on-a-chip in which microfluidics integrated with sensors, collecting characteristics of biological cells, will serve as input to the neuromorphic array. BIOMORPHIC will combine modular microfluidics and machine-learning to develop a novel platform for low-cost lab-on-a-chip devices capable of on-chip cell classification. In particular, BIOMORPHIC will focus on the detection of circulating tumour cells (CTC). Current methods for the detection of cancer are generally invasive, whereas analysing CTCs in blood offers a highly desired alternative. However, accurately detecting and isolating these cells remains a challenge due to their low prevalence and large variability. The strength of neuromorphics precisely lies in finding patterns in such variable data, which will result in a ground-breaking CTC classification lab-on-a-chip.

1 498 726 €

Start date: 2019-01-01, End date: 2023-12-31

Water is the first molecule to come into contact with biomaterials in biological systems and thus essential to the processes of biodegradation, biocompatibility and biofouling. Despite this fact, little is currently known about how biomaterials interact with water. This knowledge is crucial for the development and optimisation of novel functional biomaterials for human health (e.g. biosensing devices, erodible biomaterials, drug release carriers, wound dressings). BioWater will develop near and mid infrared chemical imaging (NIR-MIR-CI) techniques to investigate the fundamental interaction between biomaterials and water in order to understand the key processes of biodegradation, biocompatibility and biofouling. This ambitious yet achievable project will focus on two major categories of biomaterials relevant to human health: extracellular collagens and synthetic biopolymers. Initially, interactions between these biomaterials and water will be investigated; subsequently interactions with more complicated matrices (e.g. protein solutions and cellular systems) will be studied. CI data will be correlated with standard surface characterization, biocompatibility and biodegradation measurements. Molecular dynamic simulations will complement this work to identify the most probable molecular structures of water at different biomaterial interfaces. Advanced understanding of the role of water in biocompatibility, biofouling and biodegradation processes will facilitate the optimization of biomaterials tailored to specific cellular environments with a broad range of therapeutic applications (e.g. drug eluting stents, tissue engineering, wound healing). The new NIR-MIR-CI/chemometric methodologies developed in BioWater will allow for the rapid characterization and monitoring of novel biomaterials at pre-clinical stages, improving process control by overcoming the laborious and time consuming large-scale sampling methods currently required in biomaterials development.

1 487 682 €

Start date: 2014-02-01, End date: 2019-01-31

Implants are often employed in orthopaedic and dental surgeries. However, risks of failure, which are difficult to anticipate, are still experienced and may have dramatic consequences. Failures are due to degraded bone remodeling at the bone-implant interface, a multiscale phenomenon of an interdisciplinary nature which remains poorly understood. The objective of BoneImplant is to provide a better understanding of the multiscale and multitime mechanisms at work at the bone-implant interface. To do so, BoneImplant aims at studying the evolution of the biomechanical properties of bone tissue around an implant during the remodeling process. A methodology involving combined in vivo, in vitro and in silico approaches is proposed. New modeling approaches will be developed in close synergy with the experiments. Molecular dynamic computations will be used to understand fluid flow in nanoscopic cavities, a phenomenon determining bone healing process. Generalized continuum theories will be necessary to model bone tissue due to the important strain field around implants. Isogeometric mortar formulation will allow to simulate the bone-implant interface in a stable and efficient manner. In vivo experiments realized under standardized conditions will be realized on the basis of feasibility studies. A multimodality and multi-physical experimental approach will be carried out to assess the biomechanical properties of newly formed bone tissue as a function of the implant environment. The experimental approach aims at estimating the effective adhesion energy and the potentiality of quantitative ultrasound imaging to assess different biomechanical properties of the interface. Results will be used to design effective loading clinical procedures of implants and to optimize implant conception, leading to the development of therapeutic and diagnostic techniques. The development of quantitative ultrasonic techniques to monitor implant stability has a potential for industrial transfer.

1 992 154 €

Start date: 2016-10-01, End date: 2021-09-30

I seek increasing our understanding of the origin of asset price booms and bust cycles and propose constructing structural dynamic equilibrium models that allow formalizing their interaction with the dynamics of consumption, hours worked, the current account, stock market trading activity, and monetary policy. For this purpose I propose developing macroeconomic models that relax the assumption of common knowledge of beliefs and preferences, incorporating instead subjective beliefs and learning about market behavior. These features allow for sustained deviations of asset prices from fundamentals in a setting where all agents behave individually rational. The first research project derives the derivative price implications of asset price models with learning agents and determines the limits to arbitrage required so that learning models are consistent with the existence of only weak incentives for improving forecasts and beliefs. The second project introduces housing, collateral constraints and open economy features into existing asset pricing models under learning to explain a range of cross-sectional facts about the behavior of the current account that have been observed in the recent housing boom and bust cycle. The third project constructs quantitatively plausible macro asset pricing models that can explain the dynamics of consumption and hours worked jointly with the occurrence of asset price boom and busts cycles. The forth project develops a set of monetary policy models allowing to study the interaction between monetary policies, the real economy and asset prices, and determines how monetary policy should optimally react to asset price movements. The last project explains the aggregate trading patterns on stock exchanges over boom and bust cycles and improves our understanding of the forces supporting the large cross-sectional heterogeneity in return expectations revealed in survey data.

769 440 €

Start date: 2011-09-01, End date: 2017-04-30

"The objective of this research agenda is to provide a new framework to model and analyze dynamics of group beliefs, in order to study phenomena such as group polarization, segregation and inter-group discrimination. We introduce a simple new heuristic, the Bayesian Peer Influence heuristic (BPI), which is based on rational foundations and captures how individuals are influenced by others' beliefs. We will explore the theoretical properties of this heuristic, and apply the model to analyze the implications of belief dynamics on social interactions. Understanding the formation and evolution of beliefs in groups is an important aspect of many economic applications, such as labour market discrimination. The beliefs that different groups of people have about members of other groups should be central to any theory or empirical investigation of this topic. At the same time, economic models of segregation and discrimination typically do not focus on the evolution and dynamics of group beliefs that allow for such phenomena. There is therefore a need for new tools of analysis for incorporating the dynamics of group beliefs; this is particularly important in order to understand the full implications of policy interventions which often intend to ""educate the public''. The BPI fills this gap in the literature by offering a tractable and natural heuristic for group communication. Our aim is to study the theoretical properties of the BPI, as well as its applications to the dynamics of group behavior. Our plan is to: (i) Analyze rational learning from others’ beliefs and characterise the BPI. (ii) Use the BPI to account for cognitive biases in information processing. (iii) Use the BPI to analyze the diffusion of beliefs in social networks. (iv) Apply the BPI to understand the relation between belief polarization, segregation in education and labour market discrimination. (v) Apply the BPI to understand the relation between belief polarization and political outcomes."

1 662 942 €

Start date: 2016-08-01, End date: 2021-07-31

The cerebral microvascular system is essential to a large variety of physiological processes in the brain, including blood delivery and blood flow regulation as a function of neuronal activity (neuro-vascular coupling). It plays a major role in the associated mechanisms leading to disease (stroke, neurodegenerative diseases, …). In the last decade, cutting edge technologies, including two-photon scanning laser microscopy (TPSLM) and optical manipulation of blood flow, have produced huge amounts of anatomic and functional experimental data in normal and Alzheimer Disease (AD) mice. These require accurate, highly quantitative, physiologically informed modeling and analysis for any coherent understanding and for translating results between species. In this context, our first aim is to develop a general methodological framework for physiologically informed microvascular fluid dynamics modeling, understood in a broad meaning, i.e. blood flow, molecule transport and resulting functional imaging signals or signal surrogates. Our second aim is to validate this methodological framework by direct comparison of in vivo anatomical and functional TPSLM measurements with the simulation results based on the same anatomical data. The third objective is to exploit these methodologies in order to identify the logic of the structure/function relationships of brain microcirculation and neurovascular coupling, in human health and disease, with a focus on the role of vascular factors in AD. Specific hypotheses on how vascular changes in AD affect both vascular function and neurovascular coupling can be experimentally tested in animal models of AD. Crucially, similar anatomical (but not functional) data can be acquired in healthy and AD humans. This will enable us to model how AD-induced vascular alterations could affect human patients. Ultimately, it provides us with new avenues for design and/or evaluation of improved diagnosis/preventive/treatment strategies.

1 999 873 €

Start date: 2014-06-01, End date: 2019-05-31

"Economists' modern understanding of the functioning of markets is based on the behavioral assumption of individual rationality. Market agents are assumed to hold well-defined preferences and have perfect ability to draw Bayesian inferences in accordance with correct knowledge of the market model and market equilibrium. This research proposal is based on the premise that bounded rationality on the part of consumers is potentially a major source of market friction. My objective is to develop general theoretical tools to investigate this intuition, and to examine whether these tools can be insightfully applied to realistic market settings. So far, the literature on the subject has progressed as a sequence of specific models that capture one aspect of consumer psychology at a time. The challenge is to synthesize and generalize these models into flexible theoretical frameworks for modelling market interaction between profit-maximizing firms and boundedly rational consumers. Hopefully, various aspects of consumer psychology can be embedded into these frameworks, so that analytic results can be stated in terms of general, abstract properties of consumer behavior, rather than in terms of specific psychological effects. In turn, this general analysis is expected to lead to novel applications. Here are some of the general questions that I hope to address. Can we view certain aspects of firms' pricing and marketing strategies as responses to consumers' bounded rationality? To what extent are boundedly rational consumers vulnerable to exploitation by firms? Does competition protect them from exploitation? Does interaction between firms and boundedly rational consumers give rise to inefficiencies, and how are these affected by competition? What is the impact of various regulatory interventions in this context? Do market forces lead firms to ""educate"" or ""debias"" boundedly rational consumers? Does greater consumer rationality imply more competitive industry profits?"

1 098 637 €

Start date: 2008-11-01, End date: 2014-10-31

"We aim to perform academic development of a novel biomedical opportunity: localized synthesis of drugs within biocatalytic therapeutic vascular implants (BVI) for site-specific drug delivery to target organs and tissues. Primary envisioned targets for therapeutic intervention using BVI are atherosclerosis, viral hepatitis, and hepatocellular carcinoma: three of the most prevalent and debilitating conditions which affect hundreds of millions worldwide and which continue to increase in their importance in the era of increasingly aging population. For hepatic applications, we aim to develop drug eluting beads which are equipped with tools of enzyme-prodrug therapy (EPT) and are administered to the liver via trans-arterial catheter embolization. Therein, the beads perform localized synthesis of drugs and imaging reagents for anticancer combination therapy and theranostics, antiviral and anti-inflammatory agents for the treatment of hepatitis. Further, we conceive vascular therapeutic inserts (VTI) as a novel type of implantable biomaterials for treatment of atherosclerosis and re-endothelialization of vascular stents and grafts. Using EPT, inserts will tame “the guardian of cardiovascular grafts”, nitric oxide, for which localized, site specific synthesis and delivery spell success of therapeutic intervention and/or aided tissue regeneration. This proposal is positioned on the forefront of biomedical engineering and its success requires excellence in polymer chemistry, materials design, medicinal chemistry, and translational medicine. Each part of this proposal - design of novel types of vascular implants, engineering novel biomaterials, developing innovative fabrication and characterization techniques – is of high value for fundamental biomedical sciences. The project is target-oriented and once successful, will be of highest practical value and contribute to increased quality of life of millions of people worldwide."

1 996 126 €

Start date: 2014-04-01, End date: 2019-09-30

"The proposed research project seeks to further our understanding on two important questions for the design of monetary policy: (a) What are the effects of monetary policy interventions on asset price bubbles? (b) How should monetary policy be conducted in the presence of asset price bubbles? The first part of the project will focus on the development of a theoretical framework that can be used to analyze rigorously the implications of alternative monetary policy rules in the presence of asset price bubbles, and to characterize the optimal monetary policy. In particular, I plan to use such a framework to assess the merits of a “leaning against the wind” strategy, which calls for a systematic rise in interest rates in response to the development of a bubble. The second part of the project will seek to produce evidence, both empirical and experimental, regarding the effects of monetary policy on asset price bubbles. The empirical evidence will seek to identify and estimate the sign and response of asset price bubbles to interest rate changes, exploiting the potential differences in the joint behavior of interest rates and asset prices during “bubbly” episodes, in comparison to “normal” times. In addition, I plan to conduct some lab experiments in order to shed some light on the link between monetary policy and bubbles. Participants will trade two assets, a one-period riskless asset and a long-lived stock, in an environment consistent with the existence of asset price bubbles in equilibrium. Monetary policy interventions will take the form of changes in the short-term interest rate, engineered by the experimenter. The experiments will allow us to evaluate some of the predictions of the theoretical models regarding the impact of monetary policy on the dynamics of bubbles, as well as the effectiveness of “leaning against the wind” policies."

799 200 €

Start date: 2014-01-01, End date: 2017-12-31

"Photovoltaics (PV) based on Silicon (Si) semiconductors is one the most growing technology in the World for renewable, sustainable, non-polluting, widely available clean energy sources. Theoretical and applied research aims at increasing the conversion efficiency of PV modules and their lifetime. The Si crystalline microstructure has an important role on both issues. Grain boundaries introduce additional resistance and reduce the conversion efficiency. Moreover, they are prone to microcracking, thus influencing the lifetime. At present, the existing standard qualification tests are not sufficient to provide a quantitative definition of lifetime, since all the possible failure mechanisms are not accounted for. In this proposal, an innovative computational approach to design and durability assessment of PV modules is put forward. The aim is to complement real tests by virtual (numerical) simulations. To achieve a predictive stage, a challenging multi-field (multi-physics) computational approach is proposed, coupling the nonlinear elastic field, the thermal field and the electric field. To model real PV modules, an adaptive multi-scale and multi-field strategy will be proposed by introducing error indicators based on the gradients of the involved fields. This numerical approach will be applied to determine the upper bound to the probability of failure of the system. This statistical assessment will involve an optimization analysis that will be efficiently handled by a Mathematica-based hybrid symbolic-numerical framework. Standard and non-standard experimental testing on Si cells and PV modules will also be performed to complement and validate the numerical approach. The new methodology based on the challenging integration of advanced physical and mathematical modelling, innovative computational methods and non-standard experimental techniques is expected to have a significant impact on the design, qualification and lifetime assessment of complex PV systems."

1 483 980 €

Start date: 2012-12-01, End date: 2017-11-30

Despite intense research efforts in almost every branch of the natural sciences, cancer continues to be one of the leading causes of death worldwide. It is thus remarkable that little or no therapeutic use has been made of a whole discipline, heterogeneous catalysis, which is noted for its specificity and for enabling chemical reactions in otherwise passive environments. At least in part, this could be attributed to practical difficulties: the selective delivery of a catalyst to a tumour and the remote activation of its catalytic function only after it has reached its target are highly challenging objectives. Only recently, the necessary tools to overcome these problems seem within reach. CADENCE aims for a breakthrough in cancer therapy by developing a new therapeutic concept. The central hypothesis is that a growing tumour can be treated as a special type of reactor in which reaction conditions can be tailored to achieve two objectives: i) molecules essential to tumour growth are locally depleted and ii) toxic, short-lived products are generated in situ. To implement this novel approach we will make use of core concepts of reactor engineering (kinetics, heat and mass transfer, catalyst design), as well as of ideas borrowed from other areas, mainly those of bio-orthogonal chemistry and controlled drug delivery. We will explore two different strategies (classical EPR effect and stem cells as Trojan Horses) to deliver optimized catalysts to the tumour. Once the catalysts have reached the tumour they will be remotely activated using near-infrared (NIR) light, that affords the highest penetration into body tissues. This is an ambitious project, addressing all the key steps from catalyst design to in vivo studies. Given the novel perspective provided by CADENCE, even partial success in any of the approaches to be tested would have a significant impact on the therapeutic toolbox available to treat cancer.

2 483 136 €

Start date: 2017-09-01, End date: 2022-08-31

Solar energy conversion will play an essential role in the future supply of clean energy. Secure access to energy sources will require energy conversion technologies that are low impact, distributed and accessible both technically and financially. Molecular electronic materials embody these possibilities, offering facile synthesis, low energy production and the versatility to allow performance to be maximized for specific applications. Moreover, they bring appealing similarities with nature’s intrinsically low impact energy conversion materials. Whilst molecular semiconductors have been studied in detail for solar-to-electric energy conversion they have seldom been studied for solar-to-chemical conversion or for charge storage. However, they bring exciting potential advantages in terms of their light harvesting properties, the range of microstructures possible and the ability to tune their electrical properties. Polymer materials applied to solar chemical generation could open up an innovative route to artificial fuels, with the option to control light harvesting and charge separation through structural control. Polymer materials applied to mixed (electronic / ionic) conduction provide a route to lower cost electrochemical storage, as well as to biocompatible devices and sensors. Stimulated by recent experimental breakthroughs in the application of polymers as photocatalysts and ion transport media I will exploit my expertise in multi-scale modelling and functional characterization of molecular electronic materials and devices to develop a design framework for energy conversion and storage in conjugated polymer materials. This proposal aims to disentangle the parameters that govern the performance of conjugated polymer based photocatalysts and ion transport media to discover the underlying functional mechanisms. The tools generated will serve to enable the design and development of high performance materials for energy conversion devices.

2 351 550 €

Start date: 2017-10-01, End date: 2022-09-30

A wide variety of materials including coatings and adhesives, emerging materials for nanotechnology products, as well as everyday food products are processed or delivered as suspensions. The flow properties of such suspensions must be finely adjusted according to the demands of the respective processing techniques, even for the feel of cosmetics and the perception of food products is highly influenced by their rheological properties. The recently developed capillary suspensions concept has the potential to revolutionize product formulations and material design. When a small amount (less than 1%) of a second immiscible liquid is added to the continuous phase of a suspension, the rheological properties of the mixture are dramatically altered from a fluid-like to a gel-like state or from a weak to a strong gel and the strength can be tuned in a wide range covering orders of magnitude. Capillary suspensions can be used to create smart, tunable fluids, stabilize mixtures that would otherwise phase separate, significantly reduce the amount organic or polymeric additives, and the strong particle network can be used as a precursor for the manufacturing of cost-efficient porous ceramics and foams with unprecedented properties. This project will investigate the influence of factors determining capillary suspension formation, the strength of these admixtures as a function of these aspects, and how capillary suspensions depend on external forces. Only such a fundamental understanding of the network formation in capillary suspensions on both the micro- and macroscopic scale will allow for the design of sophisticated new materials. The main objectives of this proposal are to quantify and predict the strength of these admixtures and then use this information to design a variety of new materials in very different application areas including, e.g., porous materials, water-based coatings, ultra low fat foods, and conductive films.

1 489 618 €

Start date: 2013-08-01, End date: 2018-07-31

In the CATACOAT project, we will develop layer-by-layer solution-processed catalyst overcoating methods, which will result in catalysts that have both targeted and broad impacts. We will produce highly active, stable and selective catalysts for the upgrading of lignin – the largest natural source of aromatic chemicals – into commodity chemicals, which will have an important targeted impact. The broader impact of our work will lie in the production of catalytic materials with unprecedented control over the active site architecture. There is an urgent need to provide these cheap, stable, selective, and highly active catalysts for renewable molecule production. Thanks to its availability and relatively low cost, lignocellulosic biomass is an attractive source of renewable carbon. However, unlike petroleum, biomass-derived molecules are highly oxygenated, and often produced in dilute-aqueous streams. Heterogeneous catalysts – the workhorses of the petrochemical industry – are sensitive to water and contain many metals that easily sinter and leach in liquid-phase conditions. The production of renewable chemicals from biomass, especially valuable aromatics, often requires expensive platinum group metals and suffers from low selectivity. Catalyst overcoating presents a potential solution to this problem. Recent breakthroughs using catalyst overcoating with atomic layer deposition (ALD) showed that base metal catalysts can be stabilized against sintering and leaching in liquid phase conditions. However, ALD creates dramatic drops in activity due to excessive coverage, and forms an overcoat that cannot be tuned. Our materials will feature the controlled placement of metal sites (including single atoms), several oxide sites, and even molecular imprints with sub-nanometer precision within highly accessible nanocavities. We anticipate that such materials will create unprecedented opportunities for reducing cost and increasing sustainability in the chemical industry and beyond.

1 785 195 €

Start date: 2017-12-01, End date: 2022-11-30

"The urgent need to develop inexpensive and ubiquitous solar energy conversion cannot be overstated. Solution processed organic semiconductors can enable this goal as they support drastically less expensive fabrication techniques compared to traditional semiconductors. Molecular organic semiconductors (MOSs) offer many advantages to their more-common pi-conjugated polymer counterparts, however a clear and fundamental challenge to enable the goal of high performance solution-processable molecular organic semiconductor devices is to develop the ability to control the crystal packing, crystalline domain size, and mixing ability (for multicomponent blends) in the thin-film device geometry. The CEMOS project will accomplish this by pioneering innovative methods of “bottom-up” crystal engineering for organic semiconductors. We will employ specifically tailored molecules designed to leverage both thermodynamic and kinetic aspects of molecular organic semiconductor systems to direct and control crystalline packing, promote crystallite nucleation, compatibilize disparate phases, and plasticize inelastic materials. We will demonstrate that our new classes of materials can enable the tuning of the charge carrier transport and morphology in MOS thin films, and we will evaluate their performance in actual thin-film transistor (TFT) and organic photovoltaic (OPV) devices. Our highly interdisciplinary approach, combining material synthesis and device fabrication/evaluation, will not only lead to improvements in the performance and stability of OPVs and TFTs but will also give deep insights into how the crystalline packing—independent from the molecular structure—affects the optoelectronic properties. The success of CEMOS will rapidly advance the performance of MOS devices by enabling reproducible and tuneable performance comparable to traditional semiconductors—but at radically lower processing costs."

1 477 472 €

Start date: 2014-01-01, End date: 2018-12-31

The research project has two broad objectives and provides novel results in the literature of structural change or change-point tests. The first objective is to provide two new methods for restoring the non-monotone power problem of a large family of structural breaks tests that have been widely used in econometrics and statistics, as well as to show that these methods have additional contributions and can be extended to: (i) tests for a change in persistence, (ii) partial sums tests of cointegration and (iii) tests for changes in dynamic volatility models. The significance of these methods is demonstrated via the consistency of the long-run variance estimator which scales the change-point statistics, the asymptotic properties of the tests, their finite sample performance and their relevance in empirical applications and policy analysis. The second objective is threefold: First, to show that ignoring structural changes in financial time series yields biased and inconsistent risk management (Value at Risk, VaR and Excess Shortfall, ES) estimates and consequently leads to investment misallocations. Second, to propose methods for evaluating the stability of financial time series sequentially or on-line which can be used as a quality control procedure for financial risk management as well as to show that monitoring implied volatilities yields early warning indicators of a changing risk structure. Moreover we show that model averaging in the presence of structural breaks as well as other model uncertainties involved in risk management estimates, can provide robust estimates of VaR and ES. New results are derived on the optimal weights for model averaging in the context of dynamic volatility models and asymmetric loss functions. Third, we propose a novel way to construct prediction-based change-point statistics that reduce the detection delay of existing sequential tests and provide a probability about the likelihood of a structural change.

517 200 €

Start date: 2008-09-01, End date: 2013-08-31

China s economy has expanded at breakneck speed to become the 3rd largest trading country in the world and the largest recipient of foreign direct investment (FDI). Entry into the WTO in 2001 was a landmark event in this ongoing process and I propose to study several channels through which it spurred China s industrial development. Crucially, I will take an integrated view of the different ways in which Chinese and Western firms interact: through trade flows, as suppliers or competitors, FDI, or knowledge transfers. First, I investigate the existence and magnitude of a causal link from the trade reforms to productivity growth. Second, I look for evidence of capability upgrading, such as increased production efficiency, an ability to produce higher quality products, or introduce new products by innovating. Third, I study the mechanisms for the impact of trade and FDI on local firms, in particular assessing the relative importance of increased market competition and the transfer of know-how from foreign firms. For this analysis, I draw heavily on a unique data set. Information on the universe of Chinese manufacturing firms is being linked to the universe of Chinese trade transactions. These are unique research tools on their own, but as a linked data set, the only comparable one in the world is for the U.S. economy. The Chinese data has the advantage to contain detailed information on FDI, distinguishes between ordinary and processing trade, and contains information on innovation, such as R&D and sales of new goods. Answering the above questions is important for other developing countries wanting to learn from China s experience and for Western firms assessing how quickly Chinese firms will become viable suppliers of sophisticated inputs or direct competitors. By estimating models that are explicitly derived from new theories, I advance the literature at the interaction of international and development economics, industrial organization, economic geography.

944 940 €

Start date: 2010-02-01, End date: 2016-01-31

A wide variety of natural phenomena and technological applications involve flow, transport and chemical reactions taking place on or near fluid-solid or fluid-fluid interfaces. From gravity currents under water and lava flows to heat and mass transport processes in engineering applications and to the rapidly developing field of microfluidics. Both equilibrium properties of a fluid and transportcoefficients are modified in the vicinity of interfaces. The effect of these changes is crucial in the behavior of ultra-thin fluidfilms and fluid motion in microchannels of micro-electromechanical systems, but is essential as well in macroscopic phenomena involving interfacial singularities, such as thin-film rupture and motion of three-phase contact lines associated e.g. with droplet spreading. Interface boundaries are mesoscopic structures. While material properties vary smoothly at macroscopic distances from an interface, gradients in the normal direction of conserved parameters, such as density, are steep with strong variations as the molecular scale in the neighborhood of the interface is approached. This brings about a contradiction between the need in macroscopic description and a necessity to take into consideration microscopic factors that come to influence the fluid motion and transport on incommensurately larger scales. The aim of the proposed research is to develop a class of novel continuous models bridging the gap between molecular dynamics and conventional hydrodynamics and applicable at mesoscopic distances from gas-liquid and fluid-solid interfaces. A combination of analytical techniques, numerical modeling and computer-aided multiscale analysis will be employed. The results of the proposed work will greatly contribute to the fundamental understanding of mesoscopic non-equilibrium phenomena in the vicinity of interfaces and to the development of novel computational methods combining the advantages of molecular and continuous models.

1 273 788 €

Start date: 2010-04-01, End date: 2016-03-31

Globalization has brought the world economy unprecedented prosperity, but it poses governance challenges. It needs governments to provide the infrastructure for global economic integration and to refrain from destructive protectionism; yet it can engender popular discontent and a crisis of democracy. My proposal will study when trade- and productivity-enhancing policies enjoy democratic support; why voters may support instead inefficient surplus-reducing policies; and how political structure reacts to globalization. Part A studies the puzzling popularity of protectionism and how lobbies can raise it by manipulating information. It will study empirically if greater transparency causes lower trade barriers. It will introduce salience theory to political economics and argue that voters overweight concentrated losses and disregard diffuse benefits. It will show that lobbies can raise protection by channeling information to insiders and advertising the plight of displaced workers. Part B studies inefficient infrastructure policy and the ensuing spatial misallocation of economic activity. It will show that voters’ unequal knowledge lets local residents capture national policy. They disregard nationwide positive externalities, so investment in major cities is insufficient, but also nationwide taxes, so spending in low-density areas is excessive. It will argue that the fundamental attribution error causes voter opposition to growth-enhancing policies and efficient incentive schemes like congestion pricing. Part C studies how the size of countries and international unions adapts to expanding trade opportunities. It will focus on three forces: cultural diversity, economies of scale and scope in government, and trade-reducing border effects. It will show they explain increasing country size in the 19th century; the rise and fall of colonial empires; and the recent emergence of regional and global economic unions, accompanied by a peaceful increase in the number of countries.

960 000 €

Start date: 2017-01-01, End date: 2021-12-31

A large social science literature tries to describe and understand the causes and consequences of crime, usually focusing on individuals’ criminal activity in isolation. The ambitious aim of this research project is to establish a broader perspective of crime that takes into account the social context in which it takes place. The findings will inform policymakers on how to better use funds both for crime prevention and the rehabilitation of incarcerated criminals. Criminal activity is often a group phenomenon, yet little is known about how criminal networks form and what can be done to break them up or prevent them from forming in the first place. Overlooking victims of crime and their relationships to criminals has led to an incomplete and distorted view of crime and its individual and social costs. While a better understanding of these social interactions is crucial for designing more effective anti-crime policy, existing research in criminology, sociology and economics has struggled to identify causal effects due to data limitations and difficult statistical identification issues. This project will push the research frontier by combining register datasets that have never been merged before, and by using several state-of-the-art statistical methods to estimate causal effects related to criminal peer groups and their victims. More specifically, we aim to do the following: -Use recent advances in network modelling to describe the structure and density of various criminal networks and study network dynamics following the arrest/incarceration or death of a central player in a network. -Obtain a more accurate measure of the societal costs of crime, including actual measures for lost earnings and physical and mental health problems, following victims and their offenders both before and after a crime takes place. -Conduct a randomized controlled trial within a prison system to better understand how current rehabilitation programs affect criminal and victim networks.

1 187 046 €

Start date: 2018-03-01, End date: 2023-02-28

The continued increase in the atmospheric concentration of CO2 due to anthropogenic emissions is leading to significant changes in climate, with the industry accounting for one-third of all the energy used globally and for almost 40% of worldwide CO2 emissions. Fast actions are required to decrease the concentration of this greenhouse gas in the atmosphere, value that has currently reaching 400 ppm. Among the technological possibilities that are on the table to reduce CO2 emissions, carbon capture and storage into geological deposits is one of the main strategies that is being applied. However, the final objective of this strategy is to remove CO2 without considering the enormous potential of this molecule as a source of carbon for the production of valuable compounds. Nature has developed an effective and equilibrated mechanism to concentrate CO2 and fixate the inorganic carbon into organic material (e.g., glucose) by means of enzymatic action. Mimicking Nature and take advantage of millions of years of evolution should be considered as a basic starting point in the development of smart and highly effective processes. In addition, the use of amino-acid salts for CO2 capture is envisaged as a potential approach to recover CO2 in the form of (bi)carbonates. The project CO2LIFE presents the overall objective of developing a chemical process that converts carbon dioxide into valuable molecules using membrane technology. The strategy followed in this project is two-fold: i) CO2 membrane-based absorption-crystallization process on basis of using amino-acid salts, and ii) CO2 conversion into glucose or salts by using enzymes as catalysts supported on or retained by membranes. The final product, i.e. (bi)carbonates or glucose, has a large interest in the (bio)chemical industry, thus, new CO2 emissions are avoided and the carbon cycle is closed. This project will provide a technological solution at industrial scale for the removal and reutilization of CO2.

1 302 710 €

Start date: 2018-01-01, End date: 2022-12-31