ERC FUNDED PROJECTS

I propose to pursue two emerging Force Microscopy techniques that allow measuring structural properties below the surface of the specimen. Whereas Force Microscopy (most commonly known under the name AFM) is usually limited to measuring the surface topography and surface properties of a specimen, I will demonstrate that Force Microscopy can achieve true 3D images of the structure of the cell nucleus. In Ultrasound Force Microscopy, an ultrasound wave is launched from below towards the surface of the specimen. After the sound waves interact with structures beneath the surface of the specimen, the local variations in the amplitude and phase shift of the ultrasonic surface motion is collected by the Force Microscopy tip. Previously, measured 2D maps of the surface response have shown that the surface response is sensitive to structures below the surface. In this project I will employ miniature AFM cantilevers and nanotube tips that I have already developed in my lab. This will allow me to quickly acquire many such 2D maps at a much wider range of ultrasound frequencies and from these 2D maps calculate the full 3D structure below the surface. I expect this technique to have a resolving power better than 10 nm in three dimensions as far as 2 microns below the surface. In parallel I will introduce a major improvement to a technique based on Nuclear Magnetic Resonance (NMR). Magnetic Resonance Force Microscopy measures the interaction of a rotating nuclear spin in the field gradient of a magnetic Force Microscopy tip. However, these forces are so small that they pose an enormous challenge. Miniature cantilevers and nanotube tips, in combination with additional innovations in the detection of the cantilever motion, can overcome this problem. I expect to be able to measure the combined signal of 100 proton spins or fewer, which will allow me to measure proton densities with a resolution of 5 nm, but possibly even with atomic resolution.

1 794 960 €

Start date: 2008-08-01, End date: 2013-07-31

Currently fuels, plastics, and drugs are predominantly manufactured from oil. A transition towards renewable resources critically depends on new catalysts, for instance to convert small molecules (such as solar or biomass derived hydrogen, carbon monoxide, water and carbon dioxide) into more complex ones (such as oxygenates, containing oxygen atoms in their structure). Catalyst development now often depends on trial and error rather than rational design, as the heterogeneity of these composite systems hampers detailed understanding of the role of each of the components. I propose 3D model catalysts as a novel enabling tool to overcome this problem. Their well-defined nature allows unprecedented precision in the variation of structural parameters (morphology, spatial distribution) of the individual components, while at the same time they mimic real catalysts closely enough to allow testing under industrially relevant conditions. Using this approach I will address fundamental questions, such as: * What are the mechanisms (structural, electronic, chemical) by which non-metal promoters influence the functionality of copper-based catalysts? * Which nanoalloys can be formed, how does their composition influence the surface active sites and catalytic functionality under reaction conditions? * Which size and interface effects occur, and how can we use them to tune the actitivity and selectivity towards desired products? Our 3D model catalysts will be assembled from ordered mesoporous silica and carbon support materials and Cu-based promoted and bimetallic nanoparticles. The combination with high resolution characterization and testing under realistic conditions allows detailed insight into the role of the different components; critical for the rational design of novel catalysts for a future more sustainable production of chemicals and fuels from renewable resources.

1 999 625 €

Start date: 2015-09-01, End date: 2020-08-31

The architecture of DNA in the cell nucleus is an emerging epigenetic key contributor to genome function. We recently developed 4C technology, a high-throughput technique that combines state-of-the-art 3C technology with tailored micro-arrays to uniquely allow for an unbiased genome-wide search for DNA loci that interact in the nuclear space. Based on 4C technology, we were the first to provide a comprehensive overview of long-range DNA contacts of selected loci. The data showed that active and inactive chromatin domains contact many distinct regions within and between chromosomes and genes switch long-range DNA contacts in relation to their expression status. 4C technology not only allows investigating the three-dimensional structure of DNA in the nucleus, it also accurately reconstructs at least 10 megabases of the one-dimensional chromosome sequence map around the target sequence. Changes in this physical map as a result of genomic rearrangements are therefore identified by 4C technology. We recently demonstrated that 4C detects deletions, balanced inversions and translocations in patient samples at a resolution (~7kb) that allowed immediate sequencing of the breakpoints. Excitingly, 4C technology therefore offers the first high-resolution genomic approach that can identify both balanced and unbalanced genomic rearrangements. 4C is expected to become an important tool in clinical diagnosis and prognosis. Key objectives of this proposal are: 1. Explore the functional significance of DNA folding in the nucleus by systematically applying 4C technology to differentially expressed gene loci. 2. Adapt 4C technology such that it allows for massive parallel analysis of DNA interactions between regulatory elements and gene promoters. This method would greatly facilitate the identification of functionally relevant DNA elements in the genome. 3. Develop 4C technology into a clinical diagnostic tool for the accurate detection of balanced and unbalanced rearrangements.

1 225 000 €

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

Our first goal is to develop a new tool to determine brain activity with a high temporal (< 1 msec) and spatial (about 2 mm) resolution with the focus on motor control. High density EEG (up to 256 electrodes) will be used for EEG source localization. Advanced force-controlled robot manipulators will be used to impose continuous force perturbations to the joints. Advanced closed-loop system identification algorithms will identify the dynamic EEG response of multiple brain areas to the perturbation, leading to a functional interpretation of EEG. The propagation of the signal in time and 3D space through the cortex can be monitored: 4D-EEG. Preliminary experiments with EEG localization have shown that the continuous force perturbations resulted in a better signal-to-noise ratio and coherence than the current method using transient perturbations.. 4D-EEG will be a direct measure of the neural activity in the brain with an excellent temporal response and easy to use in combination with motor control tasks. The new 4D-EEG method is expected to provide a breakthrough in comparison to functional MRI (fMRI) when elucidating the meaning of cortical map plasticity in motor learning. Our second goal is to generate and validate new hypotheses about the longitudinal relationship between motor learning and cortical map plasticity by clinically using 4D-EEG in an intensive, repeated measurement design in patients suffering from a stroke. The application of 4D-EEG combined with haptic robots will allow us to discover how dynamics in cortical map plasticity are related with upper limb recovery after stroke in terms of neural repair and using behavioral compensation strategies while performing a meaningful motor tasks.. The non-invasive 4D-EEG technique combined with haptic robots will open the window about what and how patients (re)learn when showing motor recovery after stroke in order to allow us to develop more effective patient-tailored therapies in neuro-rehabilitation.

3 477 202 €

Start date: 2012-06-01, End date: 2017-05-31

Serotonin (5-HT) is a central neuromodulator and a major target of therapeutic psychoactive drugs, but relatively little is known about how it modulates information processing in neural circuits. The theory of predictive coding postulates that the brain combines raw bottom-up sensory information with top-down information from internal models to make perceptual inferences about the world. We hypothesize, based on preliminary data and prior literature, that a role of 5-HT in this process is to report prediction errors and promote the suppression and weakening of erroneous internal models. We propose that it does this by inhibiting top-down relative to bottom-up cortical information flow. To test this hypothesis, we propose a set of experiments in mice performing olfactory perceptual tasks. Our specific aims are: (1) We will test whether 5-HT neurons encode sensory prediction errors. (2) We will test their causal role in using predictive cues to guide perceptual decisions. (3) We will characterize how 5-HT influences the encoding of sensory information by neuronal populations in the olfactory cortex and identify the underlying circuitry. (4) Finally, we will map the effects of 5-HT across the whole brain and use this information to target further causal manipulations to specific 5-HT projections. We accomplish these aims using state-of-the-art optogenetic, electrophysiological and imaging techniques (including 9.4T small-animal functional magnetic resonance imaging) as well as psychophysical tasks amenable to quantitative analysis and computational theory. Together, these experiments will tackle multiple facets of an important general computational question, bringing to bear an array of cutting-edge technologies to address with unprecedented mechanistic detail how 5-HT impacts neural coding and perceptual decision-making.

2 486 074 €

Start date: 2016-01-01, End date: 2020-12-31

The Tera-Hertz portion of the spectrum presents unique potentials for advanced applications. Currently the THz spectrum is revealing the mechanisms at the origin of our universe and provides the means to monitor the health of our planet via satellite based sensing of critical gases. Potentially time domain sensing of the THz spectrum will be the ideal tool for a vast variety of medical and security applications. Presently, systems in the THz regime are extremely expensive and consequently the THz spectrum is still the domain of only niche (expensive) scientific applications. The main problems are the lack of power and sensitivity. The wide unused THz spectral bandwidth is, herself, the only widely available resource that in the future can compensate for these problems. But, so far, when scientists try to really use the bandwidth, they run into an insurmountable physical limit: antenna dispersion. Antenna dispersion modifies the signal’s spectrum in a wavelength dependent manner in all types of radiation, but is particularly deleterious to THz signals because the spectrum is too wide and with foreseeable technology it cannot be digitized. The goal of this proposal is to introduce break-through antenna technology that will eliminate the dispersion bottle neck and revolutionize Time Domain sensing and Spectroscopic Space Science. Achieving these goals the project will pole vault THz imaging technology into the 21-th century and develop critically important enabling technologies which will satisfy the electrical engineering needs of the next 30 years and in the long run will enable multi Tera-bit wireless communications. In order to achieve these goals, I will first build upon two major breakthrough radiation mechanisms that I pioneered: Leaky Lenses and Connected Arrays. Eventually, ultra wide band imaging arrays constituted by thousands of components will be designed on the bases of the new theoretical findings and demonstrated.

1 499 487 €

Start date: 2011-11-01, End date: 2017-10-31

Many Gram-positive (pathogenic) bacteria are dependent on the uptake of vitamins from the environment or from the infected host. We have recently discovered the long-elusive family of membrane protein complexes catalyzing such transport. The vitamin transporters have an unprecedented modular architecture consisting of a single multipurpose energizing module (the Energy Coupling Factor, ECF) and multiple exchangeable membrane proteins responsible for substrate recognition (S-components). The S-components have characteristics of ion-gradient driven transporters (secondary active transporters), whereas the energizing modules are related to ATP-binding cassette (ABC) transporters (primary active transporters). The aim of the proposal is threefold: First, we will address the question how properties of primary and secondary transporters are combined in ECF transporters to obtain a novel transport mechanism. Second, we will study the fundamental and unresolved question how protein-protein recognition takes place in the hydrophobic environment of the lipid bilayer. The modular nature of the ECF proteins offers a natural system to study the driving forces used for membrane protein interaction. Third, we will assess whether the ECF transport systems could become targets for antibacterial drugs. ECF transporters are found exclusively in prokaryotes, and their activity is often essential for viability of Gram-positive pathogens. Thus they could turn out to be an Achilles’ heel for the organisms. Structural and mechanistic studies (X-ray crystallography, microscopy, spectroscopy and biochemistry) will reveal how the different transport modes are combined in a single protein complex, how transport is energized and catalyzed, and how protein-protein recognition takes place. Microbiological screens will be developed to search for compounds that inhibit prokaryote-specific steps of the mechanism of ECF transporters.

1 500 000 €

Start date: 2012-01-01, End date: 2017-12-31

Antibody detection assays are used in many fields of biomedicine including the diagnosis of infectious diseases, autoimmune diseases and allergies. Current analytical techniques for antibody detection come with intrinsic limitations such as the requirement for multiple time-consuming incubation steps, multiple reagents, and/or sophisticated equipment. Supported by an ERC consolidator grant we have developed a highly modular sensor concept for antibody-responsive reporter enzymes (AbSens) that addresses many of these challenges. Key advantages include the ability to monitor antibodies directly in solution, easy read-out based on a simple color reaction, adaptability to target any antibody of interest, and high affinity and specificity. We believe that this generic sensor platform could find applications in low-cost point-of-care diagnostics, clinical research, and the development of therapeutic antibodies. The goal of AbSens is to identify those opportunities in the huge market of antibody-based diagnostics where our sensor platform provides unique advantages over existing technologies, both in terms of analytical performance and economics. To enable the next step towards commercialization, the analytical performance of our technology will be compared to current gold standards using relevant clinical samples in collaboration with commercial parties and clinicians. Other commercially important parameters are the long-term stability of the assay components and the development of a yeast-based production system to lower the cost of enzyme production. Based on an in-depth market analysis and the feedback we receive from external stakeholders on the performance of our technology, a realistic strategy will be developed for the further commercialization. In anticipation of exploring the commercialization of our AbSens technology we filed a US provisional patent application in Sept. 2012 on the key underlying technology, which was recently continued via the PCT route.

150 000 €

Start date: 2014-09-01, End date: 2015-08-31

ACOFORS has been designed with the ultimate goal of preparing commercialisation of Acoustic Force Spectroscopy (AFS). AFS is a completely new and powerful technique for determining biomolecular mechanics and structure of single molecules such as DNA and proteins. These studies are performed on a large scale by biologists and within pharmaceutical companies for e.g. drug discovery and development. Current technologies for force spectroscopy (FS) represent a $50+ million market, but are expensive, require high levels of specialism and are laborious. AFS, invented in the laboratory of Prof. Wuite, is much simpler to use, can be operated in high-throughput mode and can become available at relative low cost. As such, AFS vastly expands the possibilities of FS and makes it available to a much wider community. This makes AFS a very attractive technology for science and business, both from the perspective of the user and of the seller. In ACOFORS, a team of scientists and business developers will transform the current prototype in a marketable product, strengthen the intellectual property position, build a solid business case based on an extensive market analysis and take steps towards licensing the technology to industry.

150 000 €

Start date: 2015-07-01, End date: 2016-06-30

In mammals, gene dosage of X-chromosomal genes is equalized between sexes by random inactivation of either one of the two X chromosomes in female cells. In the initial phase of X chromosome inactivation (XCI), a counting and initiation process determines the number of X chromosomes per nucleus, and elects the future inactive X chromosome (Xi). Xist is an X-encoded gene that plays a crucial role in the XCI process. At the start of XCI Xist expression is up-regulated and Xist RNA accumulates on the future Xi thereby initiating silencing in cis. Recent work performed in my laboratory indicates that the counting and initiation process is directed by a stochastic mechanism, in which each X chromosome has an independent probability to be inactivated. We also found that this probability is determined by the X:ploïdy ratio. These results indicated the presence of at least one X-linked activator of XCI. With a BAC screen we recently identified X-encoded RNF12 to be a dose-dependent activator of XCI. Expression of RNF12 correlates with Xist expression, and a heterozygous deletion of Rnf12 results in a marked loss of XCI in female cells. The presence of a small proportion of cells that still initiate XCI, in Rnf12+/- cells, also indicated that more XCI-activators are involved in XCI. Here, we propose to investigate the molecular mechanism by which RNF12 activates XCI in mouse and human, and to search for additional XCI-activators. We will also attempt to establish the role of different inhibitors of XCI, including CTCF and the pluripotency factors OCT4, SOX2 and NANOG. We anticipate that these studies will significantly advance our understanding of XCI mechanisms, which is highly relevant for a better insight in the manifestation of X-linked diseases that are affected by XCI.

1 500 000 €

Start date: 2011-04-01, End date: 2016-03-31

The brain evolves, develops, and operates in the context of animal movements. As a consequence, fundamental brain functions such as spatial perception and motor control critically depend on the precise knowledge of the ongoing body motion. An accurate internal estimate of self-movement is thought to emerge from sensorimotor integration; nonetheless, which circuits perform this internal estimation, and exactly how motor-sensory coordination is implemented within these circuits are basic questions that remain to be poorly understood. There is growing evidence suggesting that, during locomotion, motor-related and visual signals interact at early stages of visual processing. In mammals, however, it is not clear what the function of this interaction is. Recently, we have shown that a population of Drosophila optic-flow processing neurons —neurons that are sensitive to self-generated visual flow, receives convergent visual and walking-related signals to form a faithful representation of the fly’s walking movements. Leveraging from these results, and combining quantitative analysis of behavior with physiology, optogenetics, and modelling, we propose to investigate circuit mechanisms of self-movement estimation during walking. We will:1) use cell specific manipulations to identify what cells are necessary to generate the motor-related activity in the population of visual neurons, 2) record from the identified neurons and correlate their activity with specific locomotor parameters, and 3) perturb the activity of different cell-types within the identified circuits to test their role in the dynamics of the visual neurons, and on the fly’s walking behavior. These experiments will establish unprecedented causal relationships among neural activity, the formation of an internal representation, and locomotor control. The identified sensorimotor principles will establish a framework that can be tested in other scenarios or animal systems with implications both in health and disease.

1 500 000 €

Start date: 2017-11-01, End date: 2022-10-31

The two biggest challenges in solving practical optimization problems are computational intractability, and the presence of uncertainty: most problems are either NP-hard, or have incomplete input data which makes an exact computation impossible. Recently, there has been a huge progress in our understanding of intractability, based on spectacular algorithmic and lower bound techniques. For several problems, especially those with only local constraints, we can design optimum approximation algorithms that are provably the best possible. However, typical optimization problems usually involve complex global constraints and are much less understood. The situation is even worse for coping with uncertainty. Most of the algorithms are based on ad-hoc techniques and there is no deeper understanding of what makes various problems easy or hard. This proposal describes several new directions, together with concrete intermediate goals, that will break important new ground in the theory of approximation and online algorithms. The particular directions we consider are (i) extend the primal dual method to systematically design online algorithms, (ii) build a structural theory of online problems based on work functions, (iii) develop new tools to use the power of strong convex relaxations and (iv) design new algorithmic approaches based on non-constructive proof techniques. The proposed research is at the cutting edge of algorithm design, and builds upon the recent success of the PI in resolving several longstanding questions in these areas. Any progress is likely to be a significant contribution to theoretical computer science and combinatorial optimization.

1 519 285 €

Start date: 2014-05-01, End date: 2019-04-30

In an era of rapid climate change there is a pressing need to understand whether and how organisms are able to adapt to novel environments. Such understanding is hampered by a major divide in the life sciences. Disciplines like systems biology or neurobiology make rapid progress in unravelling the mechanisms underlying the responses of organisms to their environment, but this knowledge is insufficiently integrated in eco-evolutionary theory. Current eco-evolutionary models focus on the response patterns themselves, largely neglecting the structures and mechanisms producing these patterns. Here I propose a new, mechanism-oriented framework that views the architecture of adaptation, rather than the resulting responses, as the primary target of natural selection. I am convinced that this change in perspective will yield fundamentally new insights, necessitating the re-evaluation of many seemingly well-established eco-evolutionary principles. My aim is to develop a comprehensive theory of the eco-evolutionary causes and consequences of the architecture underlying adaptive responses. In three parallel lines of investigation, I will study how architecture is shaped by selection, how evolved response strategies reflect the underlying architecture, and how these responses affect the eco-evolutionary dynamics and the capacity to adapt to novel conditions. All three lines have the potential of making ground-breaking contributions to eco-evolutionary theory, including: the specification of evolutionary tipping points; resolving the puzzle that real organisms evolve much faster than predicted by current theory; a new and general explanation for the evolutionary emergence of individual variation; and a framework for studying the evolution of learning and other general-purpose mechanisms. By making use of concepts from information theory and artificial intelligence, the project will also introduce various methodological innovations.

2 500 000 €

Start date: 2018-12-01, End date: 2023-11-30

Replacement of petrochemistry by bio-based processes is key to sustainable development and requires microbes equipped with novel-to-nature capabilities. The efficiency of such engineered microbes strongly depends on their native metabolic networks. However, aeons of evolution have optimized these networks for fitness in nature rather than for industrial performance. As a result, central metabolic networks are complex and encoded by mosaic microbial genomes in which genes, irrespective of their function, are scattered over the genome and chromosomes. This absence of a modular organization tremendously restricts genetic accessibility and presents a major hurdle for fundamental understanding and rational engineering of central metabolism. To conquer this limitation, I introduce the concept of ‘pathway swapping’, which will enable experimenters to remodel the core machinery of microbes at will. Using the yeast Saccharomyces cerevisiae, an industrial biotechnology work horse and model eukaryotic cell, I propose to design and construct a microbial chassis in which all genes encoding enzymes in central carbon metabolism are relocated to a specialized synthetic chromosome, from which they can be easily swapped by any – homologous or heterologous – synthetic pathway. This challenging and innovative project paves the way for a modular approach to engineering of central metabolism. Beyond providing a ground-breaking enabling technology, the ultimate goal of the pathway swapping technology is to address hitherto unanswered fundamental questions. Access to a sheer endless variety of configurations of central metabolism offers unique, new possibilities to study the fundamental design of metabolic pathways, the constraints that have shaped them and unifying principles for their structure and regulation. Moreover, this technology enables fast, combinatorial optimization studies on central metabolism to optimize its performance in biotechnological purposes.

2 149 718 €

Start date: 2015-09-01, End date: 2020-08-31

In many situations experts act adequately, yet without deliberation. Architects e.g, immediately sense opportunities offered by the site of a new project. One could label these manifestations of expert intuition as ‘higher-level’ cognition, but still these experts act unreflectively. The aim of my project is to develop the Skilled Intentionality Framework (SIF), a new conceptual framework for the field of embodied/enactive cognitive science (Chemero, 2009; Thompson, 2007). I argue that affordances - possibilities for action provided by our surroundings - are highly significant in cases of unreflective and reflective ‘higher’ cognition. Skilled Intentionality is skilled coordination with multiple affordances simultaneously. The two central ideas behind this proposal are (a) that episodes of skilled ‘higher’ cognition can be understood as responsiveness to affordances for ‘higher’ cognition and (b) that our surroundings are highly resourceful and contribute to skillful action and cognition in a far more fundamental way than is generally acknowledged. I use embedded philosophical research in a particular practice of architecture to shed new light on the ways in which affordances for ‘higher’ cognition support creative imagination, anticipation, explicit planning and self-reflection. The Skilled Intentionality Framework is groundbreaking in relating findings established at several complementary levels of analysis: philosophy/phenomenology, ecological psychology, affective science and neurodynamics. Empirical findings thought to be exclusively valid for everyday unreflective action can now be used to explain skilled ‘higher’ cognition as well. Moreover, SIF brings both the context and the social back into cognitive science. I will show SIF’s relevance for Friston’s work on the anticipating brain, and apply it in the domain of architecture and public health. SIF will radically widen the scope of the increasingly influential field of embodied cognitive science.

1 499 850 €

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

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

"This project will undertake a transnational, multi-sited ethnographic study of moral and political subjectivity in HIV/AIDS prevention and treatment programs from the perspective of socio-cultural anthropology. The main research question is: what kinds of politico-moral persons are constituted in institutional contexts that combine human rights and personal responsibility approaches to health, and how these kinds of subjectivities relate to local, national, and global forms of the politico-moral represented in health policies? In particular, this research will be carried out in Indonesia (Jakarta and Bali), South Africa (Western Cape), USA (New York City), and various locations throughout Eastern Europe in HIV/AIDS programs and institutions that increasingly combine human rights and personal responsibility approaches to treatment and prevention. This project is the first anthropological research on health governance done on a global scale. Until now most anthropological studies have focused on one health program in one location without simultaneously studying similar processes in comparable contexts in other parts of the world. In contrast, this project will take a global perspective on the relationship between health issues, morality, and governance by doing transnational multi-sited research. This project will significantly contribute to the current anthropological focus on bio-citizenship and push it in new directions, resulting in a new anthropological theory of global bio-political governance and global politico-moral subjectivities. This theory will describe and explain recent transnational processes of shaping particular kinds of politico-moral subjectivities through health initiatives. By doing research in comparable world areas this project will significantly contribute to the development of a theory of politico-moral governance with global reach."

1 499 370 €

Start date: 2012-05-01, End date: 2017-04-30

Two-dimensional transition metal dichalcogenides (2D-TMDs) are an exciting class of new materials. Their ultrathin body, optical band gap and unusual spin and valley polarization physics make them very promising candidates for a vast new range of (opto-)electronic applications. So far, most experimental work on 2D-TMDs has been performed on exfoliated flakes made by the ‘Scotch tape’ technique. The major next challenge is the large-area synthesis of 2D-TMDs by a technique that ultimately can be used for commercial device fabrication. Building upon pure 2D-TMDs, even more functionalities can be gained from 2D-TMD alloys and heterostructures. Theoretical work on these derivates reveals exciting new phenomena, but experimentally this field is largely unexplored due to synthesis technique limitations. The goal of this proposal is to combine atomic layer deposition with plasma chemistry to create a novel surface-controlled, industry-compatible synthesis technique that will make large area 2D-TMDs, 2D-TMD alloys and 2D-TMD heterostructures a reality. This innovative approach will enable systematic layer dependent studies, likely revealing exciting new properties, and provide integration pathways for a multitude of applications. Atomistic simulations will guide the process development and, together with in- and ex-situ analysis, increase the understanding of the surface chemistry involved. State-of-the-art high resolution transmission electron microscopy will be used to study the alloying process and the formation of heterostructures. Luminescence spectroscopy and electrical characterization will reveal the potential of the synthesized materials for (opto)-electronic applications. The synergy between the excellent background of the PI in 2D materials for nanoelectronics and the group’s leading expertise in ALD and plasma science is unique and provides an ideal stepping stone to develop the synthesis of large-area 2D-TMDs and derivatives.

1 968 709 €

Start date: 2015-08-01, End date: 2020-07-31

Personalization algorithms—filtering content on the basis of someone's profile—increasingly mediate the web experience of users. By forging a specific reality for each individual, they silently shape customized 'information diets': in other words, they determine which news, opinions and rumors users are exposed to. Restricting users’ possibilities, they ultimately infringe on their agency. As exposed by the recent Cambridge Analytica scandal, they are supported by questionable data sharing practices at the core of the business models of the social media industry. Yet, personalization algorithms are proprietary and thus remain inaccessible to end users. The few experiments auditing these algorithms rely on data provided by platform companies themselves. They are highly technical, hardly scalable, and fail to put social media users in the driver seat. The ALgorithms EXposed (ALEX) project aims at unmasking the functioning of personalization algorithms on social media platforms, taking Facebook as a test case. It is 'data activism' in practice, as it uses publicly available data for awareness raising and citizen empowerment. ALEX will pursue five goals: 1) software development and stabilization, building on the alpha version of facebook.tracking.exposed (fbtrex), a working prototype of a browser extension analyzing the outcomes of Facebook's News Feed algorithms; 2) the release of two spin-off products building on fbtrex, namely AudIT, enabling researchers to do expert analysis on algorithmic biases, and RealityCheck, allowing users to monitor their own social media consumption patterns; 3) testing the technical feasibility of adapting the ALEX approach to analyze algorithmic personalization on other platforms such as Twitter and Google; 4) the design and organization of data literacy modules on algorithmic personalization, and 5) the launch of a consultancy service to promote tool take-up and the future sustainability of the project.

149 922 €

Start date: 2018-12-01, End date: 2020-02-29

Europe sits uncomfortably on the idea that there are no political and cultural alternatives credible enough to respond to the current uneasiness or malaise caused by both a world that is more and more non-European and a Europe that increasingly questions what is European about itself. This project will develop a new grounded theoretical paradigm for contemporary Europe based on two key ideas: the understanding of the world by far exceeds the European understanding of the world; social, political and institutional transformation in Europe may benefit from innovations taking place in regions and countries with which Europe is increasingly interdependent. I will pursue this objective focusing on four main interconnected topics: democratizing democracy, intercultural constitutionalism, the other economy, human rights (right to health in particular). In a sense that the European challenges are unique but, in one way or another, are being experienced in different corners of the world. The novelty resides in bringing new ideas and experiences into the European conversation, show their relevance to our current uncertainties and aspirations and thereby contribute to face them with new intellectual and political resources. The usefulness and relevance of non-European conceptions and experiences un-thinking the conventional knowledge through two epistemological devices I have developed: the ecology of knowledges and intercultural translation. By resorting to them I will show that there are alternatives but they cannot be made credible and powerful if we go on relying on the modes of theoretical and political thinking that have dominated so far. In other words, the claim put forward by and worked through this project is that in Europe we don’t need alternatives but rather an alternative thinking of alternatives.

2 423 140 €

Start date: 2011-07-01, End date: 2016-12-31

In most European countries social insurance programs, like welfare, unemployment insurance and disability insurance are characterized by low reemployment rates. Therefore, governments spend huge amounts of money on active labour market programs, which should help individuals in finding work. Recent surveys indicate that programs which aim at intensifying job search behaviour are much more effective than schooling programs for improving human capital. A second conclusion from these surveys is that despite the size of the spendings on these programs, evidence on its effectiveness is limited. This research proposal aims at developing an economic framework that will be used to evaluate the effectiveness of popular programs like offering reemployment bonuses, fraud detection, workfare and job search monitoring. The main innovation is that I will combine economic theory with recently developed econometric techniques and detailed administrative data sets, which have not been explored before. While most of the literature only focuses on short-term outcomes, the available data allow me to also consider the long-term effectiveness of programs. The key advantage of an economic model is that I can compare the effectiveness of the different programs, consider modifications of programs and combinations of programs. Furthermore, using an economic model I can construct profiling measures to improve the targeting of programs to subsamples of the population. This is particularly relevant if the effectiveness of programs differs between individuals or depends on the moment in time the program is offered. Therefore, the results from this research will not only be of scientific interest, but will also be of great value to policymakers.

550 000 €

Start date: 2008-07-01, End date: 2013-06-30

Recently, ‘designer’ quantum materials, synthesised layer by layer, have been realised, sparking ground-breaking new scientific insights. These artificial materials, such as oxide heterostructures, are interesting building blocks for a new generation of technologies, provided that one is able to access, study and ultimately control their quantum phases in practical conditions such as at room temperature and high speeds. On the other hand, an independent research area is emerging that uses ultra-short bursts of light to stimulate changes in the macroscopic electronic properties of solids at unprecedented speeds. Here I propose to bridge the gap between material design and ultrafast control of solids. This new synergy will allow us to explore fundamental research questions on the non-equilibrium dynamics of quantum materials with competing ground states. Specifically, I will utilize intense THz and mid-infrared electromagnetic fields to manipulate the electronic properties of artificial quantum materials on pico- to femto-second time scales. Beyond the development of novel techniques to generate THz electric fields of unprecedented intensity, I will investigate metal-insulator and magnetic transitions in oxide heterostructures as they unfold in time. This research programme takes oxide electronics in a new direction and establishes a new methodology for the control of quantum phases at high temperature and high speed.

1 499 982 €

Start date: 2016-06-01, End date: 2021-05-31

AncientAdhesives addresses the most crucial problem in Palaeolithic archaeology: How to reliably infer cognitively complex behaviour in the deep past. To study the evolution of Neandertal and modern human cognitive capacities, certain find categories are taken to reflect behavioural and thus cognitive complexitye.g. Among these are art objects, personal ornaments and complex technology. Of these technology is best-suited to trace changing behavioural complexity, because 1) it is the least vulnerable to differential preservation, and 2) technological behaviours are present throughout the history of our genus. Adhesives are the oldest examples of highly complex technology. They are also known earlier from Neandertal than from modern human contexts. Understanding their technological complexity is thus essential to resolve debates on differences in cognitive complexity of both species. However, currently, there is no agreed-upon method to measure technological complexity. The aim of AncientAdhesives is to create the first reliable method to compare the complexity of Neandertal and modern human technologies. This is achieved through three main objectives: 1. Collate the first comprehensive body of knowledge on adhesives, including ethnography, archaeology and (experimental) material properties (e.g. preservation, production). 2. Develop a new archaeological methodology by modifying industrial process modelling for archaeological applications. 3. Evaluate the development of adhesive technological complexity through time and across species using a range of explicit complexity measures. By analysing adhesives, it is possible to measure technological complexity, to identify idiosyncratic behaviours and to track adoption and loss of complex technological know-how. This represents a step-change in debates about the development of behavioural complexity and differences/similarities between Neanderthals and modern humans.

1 499 926 €

Start date: 2019-02-01, End date: 2024-01-31

A major problem in dental care restorations is bacterial infiltration. Bacteria between the tooth and the restoration is a potential cause of postoperative sensitivity, pulp inflammation, and necrosis. In orthodontics, the formation of biofilms during treatment bears the risk of enamel decalcification, cavity formation, and gingival inflammation due to the fact that colonized bacteria are extremely hard to remove in presence of orthodontic appliances. Another related problem is that the current fabrication of dental restorations and braces is labor intensive, requiring highly skilled technicians. Recently, steps have been taken to change the traditional workflow and introduce 3D printing (3DP) technology in this field. 3DP enables a more patient specific way of working, increasing the quality of dental care on the one hand and reducing the costs on the other hand. To address both problems, a highly innovative 3DP antimicrobial polymer system for applications in dentistry and orthodontics will be developed in this proposal. Since the materials will be in contact to or incorporated into the body, attention needs to be paid to render these systems non-toxic and biocompatible. Second, the commercial, IPR and business opportunities of these novel materials will be investigated.

150 000 €

Start date: 2016-04-01, End date: 2017-09-30