Project acronym BIHSNAM
Project Bio-inspired Hierarchical Super Nanomaterials
Researcher (PI) Nicola Pugno
Host Institution (HI) UNIVERSITA DEGLI STUDI DI TRENTO
Country Italy
Call Details Starting Grant (StG), PE8, ERC-2011-StG_20101014
Summary "Nanomaterials such as carbon nanotubes or graphene sheets represent the future of material science, due to their potentially exceptional mechanical properties. One great drawback of all artificial materials, however, is the decrease of strength with increasing toughness, and viceversa. This problem is not encountered in many biological nanomaterials (e.g. spider silk, bone, nacre). Other biological materials display exceptional adhesion or damping properties, and can be self-cleaning or self-healing. The “secret” of biomaterials seems to lie in “hierarchy”: several levels can often be identified (2 in nacre, up to 7 in bone and dentine), from nano- to micro-scale.
The idea of this project is to combine Nature and Nanotechnology to design hierarchical composites with tailor made characteristics, optimized with respect to both strength and toughness, as well as materials with strong adhesion/easy detachment, smart damping, self-healing/-cleaning properties or controlled energy dissipation. For example, one possible objective is to design the “world’s toughest composite material”. The potential impact and importance of these goals on materials science, the high-tech industry and ultimately the quality of human life could be considerable.
In order to tackle such a challenging design process, the PI proposes to adopt ultimate nanomechanics theoretical tools corroborated by continuum or atomistic simulations, multi-scale numerical parametric simulations and Finite Element optimization procedures, starting from characterization experiments on biological- or nano-materials, from the macroscale to the nanoscale. Results from theoretical, numerical and experimental work packages will be applied to a specific case study in an engineering field of particular interest to demonstrate importance and feasibility, e.g. an airplane wing with a considerably enhanced fatigue resistance and reduced ice-layer adhesion, leading to a 10 fold reduction in wasted fuel."
Summary
"Nanomaterials such as carbon nanotubes or graphene sheets represent the future of material science, due to their potentially exceptional mechanical properties. One great drawback of all artificial materials, however, is the decrease of strength with increasing toughness, and viceversa. This problem is not encountered in many biological nanomaterials (e.g. spider silk, bone, nacre). Other biological materials display exceptional adhesion or damping properties, and can be self-cleaning or self-healing. The “secret” of biomaterials seems to lie in “hierarchy”: several levels can often be identified (2 in nacre, up to 7 in bone and dentine), from nano- to micro-scale.
The idea of this project is to combine Nature and Nanotechnology to design hierarchical composites with tailor made characteristics, optimized with respect to both strength and toughness, as well as materials with strong adhesion/easy detachment, smart damping, self-healing/-cleaning properties or controlled energy dissipation. For example, one possible objective is to design the “world’s toughest composite material”. The potential impact and importance of these goals on materials science, the high-tech industry and ultimately the quality of human life could be considerable.
In order to tackle such a challenging design process, the PI proposes to adopt ultimate nanomechanics theoretical tools corroborated by continuum or atomistic simulations, multi-scale numerical parametric simulations and Finite Element optimization procedures, starting from characterization experiments on biological- or nano-materials, from the macroscale to the nanoscale. Results from theoretical, numerical and experimental work packages will be applied to a specific case study in an engineering field of particular interest to demonstrate importance and feasibility, e.g. an airplane wing with a considerably enhanced fatigue resistance and reduced ice-layer adhesion, leading to a 10 fold reduction in wasted fuel."
Max ERC Funding
1 004 400 €
Duration
Start date: 2012-01-01, End date: 2016-12-31
Project acronym CA2PVM
Project Multi-field and multi-scale Computational Approach to design and durability of PhotoVoltaic Modules
Researcher (PI) Marco Paggi
Host Institution (HI) SCUOLA IMT (ISTITUZIONI, MERCATI, TECNOLOGIE) ALTI STUDI DI LUCCA
Country Italy
Call Details Starting Grant (StG), PE8, ERC-2012-StG_20111012
Summary "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."
Summary
"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."
Max ERC Funding
1 483 980 €
Duration
Start date: 2012-12-01, End date: 2017-11-30
Project acronym DASTCO
Project Developing and Applying Structural Techniques for Combinatorial Objects
Researcher (PI) Paul Joseph Wollan
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Country Italy
Call Details Starting Grant (StG), PE1, ERC-2011-StG_20101014
Summary The proposed project will tackle a series of fundamental problems in discrete mathematics by studying labeled graphs, a generalization of graphs which readily apply to problems beyond graph theory. To achieve these goals will require both developing new graph theoretic tools and techniques as well as further expounding upon known methodologies.
The specific problems to be studied can be grouped into a series of semi-independent projects. The first focuses on signed graphs with applications to a conjecture of Seymour concerning 1-flowing binary matroids and a related conjecture on the intregality of polyhedra defined by a class of binary matrices. The second proposes to develop a theory of minors for directed graphs. Finally, the project looks at topological questions arising from graphs embedding in a surface and the classic problem of efficiently identifying the trivial knot. The range of topics considered will lead to the development of tools and techniques applicable to questions in discrete mathematics beyond those under direct study.
The project will create a research group incorporating graduate students and post doctoral researchers lead by the PI. Each area to be studied offers the potential for ground-breaking results at the same time offering numerous intermediate opportunities for scientific progress.
Summary
The proposed project will tackle a series of fundamental problems in discrete mathematics by studying labeled graphs, a generalization of graphs which readily apply to problems beyond graph theory. To achieve these goals will require both developing new graph theoretic tools and techniques as well as further expounding upon known methodologies.
The specific problems to be studied can be grouped into a series of semi-independent projects. The first focuses on signed graphs with applications to a conjecture of Seymour concerning 1-flowing binary matroids and a related conjecture on the intregality of polyhedra defined by a class of binary matrices. The second proposes to develop a theory of minors for directed graphs. Finally, the project looks at topological questions arising from graphs embedding in a surface and the classic problem of efficiently identifying the trivial knot. The range of topics considered will lead to the development of tools and techniques applicable to questions in discrete mathematics beyond those under direct study.
The project will create a research group incorporating graduate students and post doctoral researchers lead by the PI. Each area to be studied offers the potential for ground-breaking results at the same time offering numerous intermediate opportunities for scientific progress.
Max ERC Funding
850 000 €
Duration
Start date: 2011-12-01, End date: 2017-09-30
Project acronym ENLIGHT
Project The interplay between quantum coherence and environment in the photosynthetic electronic energy transfer and light-harvesting: a quantum chemical picture
Researcher (PI) Benedetta Mennucci
Host Institution (HI) UNIVERSITA DI PISA
Country Italy
Call Details Starting Grant (StG), PE4, ERC-2011-StG_20101014
Summary Photon energy absorption and electronic energy transfer (EET) represents the first fundamental step in both natural and artificial light-harvesting systems. The most striking example is photosynthesis, in which plants, algae and bacteria are able to transfer the absorbed light to the reaction centers in proteins with almost 100% quantum efficiency. Recent two-dimensional spectroscopic measurements suggest that the role of the environment (a protein or a given embedding supramolecular architecture) is fundamental in determining both the dynamics and the efficiency of the process. What is still missing in order to fully understand and characterize EET is a new theoretical and computational approach which can reproduce the microscopic dynamics of the process based on an accurate description of the playing actors, i.e. the transferring pigments and the environment. Such an approach is a formidable challenge due to the large network of interactions which couples all the parts and makes the dynamics of the process a complex competition of random fluctuations and coherences. Only a strategy based upon an integration of computational models with different length and time scales can achieve the required completeness of the description. This project aims at achieving such an integration by developing completely new theoretical and computational tools based on the merging of quantum mechanical methods, polarizable force fields and dielectric continuum models. Such a strategy in which the fundamental effects of polarization between the pigments and the environment will be accounted for in a dynamically coupled way will allow to simulate the full dynamic process of light harvesting and energy transfer in complex multichromophoric supramolecular systems.
Summary
Photon energy absorption and electronic energy transfer (EET) represents the first fundamental step in both natural and artificial light-harvesting systems. The most striking example is photosynthesis, in which plants, algae and bacteria are able to transfer the absorbed light to the reaction centers in proteins with almost 100% quantum efficiency. Recent two-dimensional spectroscopic measurements suggest that the role of the environment (a protein or a given embedding supramolecular architecture) is fundamental in determining both the dynamics and the efficiency of the process. What is still missing in order to fully understand and characterize EET is a new theoretical and computational approach which can reproduce the microscopic dynamics of the process based on an accurate description of the playing actors, i.e. the transferring pigments and the environment. Such an approach is a formidable challenge due to the large network of interactions which couples all the parts and makes the dynamics of the process a complex competition of random fluctuations and coherences. Only a strategy based upon an integration of computational models with different length and time scales can achieve the required completeness of the description. This project aims at achieving such an integration by developing completely new theoretical and computational tools based on the merging of quantum mechanical methods, polarizable force fields and dielectric continuum models. Such a strategy in which the fundamental effects of polarization between the pigments and the environment will be accounted for in a dynamically coupled way will allow to simulate the full dynamic process of light harvesting and energy transfer in complex multichromophoric supramolecular systems.
Max ERC Funding
1 300 000 €
Duration
Start date: 2011-09-01, End date: 2016-08-31
Project acronym FINIMPMACRO
Project Financial Imperfections and Macroeconomic Implications
Researcher (PI) Tommaso Monacelli
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Country Italy
Call Details Starting Grant (StG), SH1, ERC-2011-StG_20101124
Summary We plan to study the implications of financial market imperfections for four main questions.
First, how do financial imperfections affect the optimal conduct of monetary and exchange rate policy in open economies? A key insight is that we characterize financial frictions as endogenous and only occasionally binding. This can have important implications for the optimal conduct of stabilization policy.
Second, how do financial and labor market imperfections interact? We extend the standard search-and-matching model to allow firms to issue debt. This feature affects the wage bargaining process endogenously, since firms, by leveraging, can pay lower wages. We study the ability of such a model to replicate the volatility and persistence of unemployment in the data, and the role of financial imperfections in affecting the transmission of productivity and financial shocks.
Third, does the effectiveness of tax policy depend on its redistributive content, and how is this affected by financial imperfections? We characterize the distributional feature of several Tax Acts in the US, and investigate empirically whether tax changes that “favor the poor” are more expansionary than cuts that “favor the rich”. We then build a theoretical framework with heterogeneous agents and financial frictions to rationalize our evidence.
Fourth, how do financial intermediaries affect the transmission channel of monetary policy? We extend the current New Keynesian framework for monetary policy analysis to study the role of financial intermediaries. We emphasize the role of three features: (i) asymmetric information in interbank markets; (ii) maturity mismatch in the banks’ balance sheets; (iii) the “paradox of securitization”, thereby a deeper diversification of idiosyncratic risk leads to a simultaneous increase in the sensitivity of banks’ balance sheets to aggregate risk.
Summary
We plan to study the implications of financial market imperfections for four main questions.
First, how do financial imperfections affect the optimal conduct of monetary and exchange rate policy in open economies? A key insight is that we characterize financial frictions as endogenous and only occasionally binding. This can have important implications for the optimal conduct of stabilization policy.
Second, how do financial and labor market imperfections interact? We extend the standard search-and-matching model to allow firms to issue debt. This feature affects the wage bargaining process endogenously, since firms, by leveraging, can pay lower wages. We study the ability of such a model to replicate the volatility and persistence of unemployment in the data, and the role of financial imperfections in affecting the transmission of productivity and financial shocks.
Third, does the effectiveness of tax policy depend on its redistributive content, and how is this affected by financial imperfections? We characterize the distributional feature of several Tax Acts in the US, and investigate empirically whether tax changes that “favor the poor” are more expansionary than cuts that “favor the rich”. We then build a theoretical framework with heterogeneous agents and financial frictions to rationalize our evidence.
Fourth, how do financial intermediaries affect the transmission channel of monetary policy? We extend the current New Keynesian framework for monetary policy analysis to study the role of financial intermediaries. We emphasize the role of three features: (i) asymmetric information in interbank markets; (ii) maturity mismatch in the banks’ balance sheets; (iii) the “paradox of securitization”, thereby a deeper diversification of idiosyncratic risk leads to a simultaneous increase in the sensitivity of banks’ balance sheets to aggregate risk.
Max ERC Funding
778 800 €
Duration
Start date: 2012-01-01, End date: 2016-12-31
Project acronym HAMPDES
Project Hamiltonian PDE's and small divisor problems: a dynamical systems approach
Researcher (PI) Michela Procesi
Host Institution (HI) UNIVERSITA DEGLI STUDI ROMA TRE
Country Italy
Call Details Starting Grant (StG), PE1, ERC-2012-StG_20111012
Summary "A large number of partial differential equations of Physics have the structure of an infinite-dimensional Hamiltonian dynamical system. In this class of equations appear, among others, the Schrödinger equation (NLS), the wave equation (NLW), the Euler equations of hydrodynamics and the numerous models that derive from it. The study of these equations poses some fundamental questions that have inspired an entire research field in the last twenty years: the investigation of the main invariant structures of the phase space of a Hamiltonian system, starting from its stationary, periodic and quasi-periodic orbits. As in the case of finite-dimensional dynamical systems, one of the main problems in this field is linked to the well-known ""small divisors problem''. A further difficulty is due to the fact that ''physically'' interesting equations, without outer parameters, are typically resonant and/or contain derivatives in the non-linearity. There are many fundamental open questions in this field. Our main goals are 1) the study of quasi-periodic solutions, in particular for semi-linear and quasi-linear equations. 2)Study of normal forms, both in integrable and non-integrable cases. 3) Applications to hydrodynamics and search of quasi-periodic solutions in water wave problems.4) Study of almost periodic solutions for nonlinear PDEs. 5) quasi-periodic solutions for resonant systems with minimal restrictions on the non-linearity. Together with my group in Naples we already have developed several techniques to approach these problems and we have several ideas of possible innovative approaches, combining Nash-Moser and KAM methods, Normal Form Theory, Para-differential calculus, combinatorial methods."
Summary
"A large number of partial differential equations of Physics have the structure of an infinite-dimensional Hamiltonian dynamical system. In this class of equations appear, among others, the Schrödinger equation (NLS), the wave equation (NLW), the Euler equations of hydrodynamics and the numerous models that derive from it. The study of these equations poses some fundamental questions that have inspired an entire research field in the last twenty years: the investigation of the main invariant structures of the phase space of a Hamiltonian system, starting from its stationary, periodic and quasi-periodic orbits. As in the case of finite-dimensional dynamical systems, one of the main problems in this field is linked to the well-known ""small divisors problem''. A further difficulty is due to the fact that ''physically'' interesting equations, without outer parameters, are typically resonant and/or contain derivatives in the non-linearity. There are many fundamental open questions in this field. Our main goals are 1) the study of quasi-periodic solutions, in particular for semi-linear and quasi-linear equations. 2)Study of normal forms, both in integrable and non-integrable cases. 3) Applications to hydrodynamics and search of quasi-periodic solutions in water wave problems.4) Study of almost periodic solutions for nonlinear PDEs. 5) quasi-periodic solutions for resonant systems with minimal restrictions on the non-linearity. Together with my group in Naples we already have developed several techniques to approach these problems and we have several ideas of possible innovative approaches, combining Nash-Moser and KAM methods, Normal Form Theory, Para-differential calculus, combinatorial methods."
Max ERC Funding
678 000 €
Duration
Start date: 2012-11-01, End date: 2018-10-31
Project acronym HEVO
Project Holomorphic Evolution Equations
Researcher (PI) Filippo Bracci
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA
Country Italy
Call Details Starting Grant (StG), PE1, ERC-2011-StG_20101014
Summary The scope of this project is to study holomorphic evolution equations and the associated dynamical systems, both from the local and the global point of view. In particular we aim to study general Loewner equations (both autonomous and non-autonomous) and applications to dynamical systems, in one and several complex variables. In one variable we plan to develop a general version of SLE's for non-slit evolutions and apply to physical and others problems. In several variables we plan to develop the general theory, together with applications.
Summary
The scope of this project is to study holomorphic evolution equations and the associated dynamical systems, both from the local and the global point of view. In particular we aim to study general Loewner equations (both autonomous and non-autonomous) and applications to dynamical systems, in one and several complex variables. In one variable we plan to develop a general version of SLE's for non-slit evolutions and apply to physical and others problems. In several variables we plan to develop the general theory, together with applications.
Max ERC Funding
700 000 €
Duration
Start date: 2011-11-01, End date: 2016-10-31
Project acronym IDEal reSCUE
Project Integrated DEsign and control of Sustainable CommUnities during Emergencies
Researcher (PI) Gian Paolo Cimellaro
Host Institution (HI) POLITECNICO DI TORINO
Country Italy
Call Details Starting Grant (StG), PE8, ERC-2014-STG
Summary Integrated DEsign and control of Sustainable CommUnities during Emergencies
Summary
Integrated DEsign and control of Sustainable CommUnities during Emergencies
Max ERC Funding
1 271 138 €
Duration
Start date: 2015-11-01, End date: 2021-04-30
Project acronym INTHERM
Project Design, manufacturing and control of INterfaces in THERMally conductive polymer nanocomposites
Researcher (PI) Alberto Fina
Host Institution (HI) POLITECNICO DI TORINO
Country Italy
Call Details Starting Grant (StG), PE8, ERC-2014-STG
Summary This proposal addresses the design, manufacturing and control of interfaces in thermally conductive polymer/graphene nanocomposites.
In particular, the strong reduction of thermal resistance associated to the contacts between conductive particles in a percolating network throughout the polymer matrix is targeted, to overcome the present bottleneck for heat transfer in nanocomposites.
The project includes the investigation of novel chemical modifications of nanoparticles to behave as thermal bridges between adjacent particles, advanced characterization methods for particle/particle interfaces and controlled processing methods for the preparations of nanocomposites with superior thermal conductivity.
The results of this project will contribute to the fundamental understanding of heat transfer in complex solids, while success in mastering interfacial properties would open the way to a new generation of advanced materials coupling high thermal conductivity with low density, ease of processing, toughness and corrosion resistance.
Summary
This proposal addresses the design, manufacturing and control of interfaces in thermally conductive polymer/graphene nanocomposites.
In particular, the strong reduction of thermal resistance associated to the contacts between conductive particles in a percolating network throughout the polymer matrix is targeted, to overcome the present bottleneck for heat transfer in nanocomposites.
The project includes the investigation of novel chemical modifications of nanoparticles to behave as thermal bridges between adjacent particles, advanced characterization methods for particle/particle interfaces and controlled processing methods for the preparations of nanocomposites with superior thermal conductivity.
The results of this project will contribute to the fundamental understanding of heat transfer in complex solids, while success in mastering interfacial properties would open the way to a new generation of advanced materials coupling high thermal conductivity with low density, ease of processing, toughness and corrosion resistance.
Max ERC Funding
1 404 132 €
Duration
Start date: 2015-03-01, End date: 2020-02-29
Project acronym LABORHETEROGENEITY
Project Labor Heterogeneity in Search Markets
Researcher (PI) Philipp Kircher
Host Institution (HI) EUROPEAN UNIVERSITY INSTITUTE
Country Italy
Call Details Starting Grant (StG), SH1, ERC-2011-StG_20101124
Summary The work laid out in this proposal aims to change our understanding of labor markets by viewing both the mobility as well as the frictions in the market as a consequence of long-term worker heterogeneity. Despite the advances in information technology which substantially reduce the costs of sending information (job advertisements, job applications) extracting the relevant information about worker quality remains hard. Long-term differences in ability coupled with screening frictions are proposed as the main reason for mismatch, for mobility, and for the presence of unemployment.
The proposal is based on novel empirical observations on occupational mobility. Both low-paid workers as well as high-paid workers in an occupation tend to leave it. The former tend to move to occupations with lower average pay, while the opposite holds for the latter. This happens even within firms, and after excluding managerial positions.
Most work on selection assumes that low-earners leave. This data suggest a novel angle: Workers have a long-term type that affects productivity in their current and in new occupations. They might accumulate human capital, but also their baseline ability is imperfectly known. Unexpectedly low performers (low-wage workers) have to leave towards less demanding tasks, while high performers change to more demanding tasks. This consistently accounts for the observed selection patterns.
When workers know more about their ability than new firms, this also explains unemployment: firms spend efforts on screening, and impose costs on workers to induce them to self-select. The latter counteracts exogenous reductions in workers’ search costs. The aim is to develop a tractable model of screening unemployment that can serve as a building block in larger macro-labor models, and to assess the work of the government employment agency through the lens of a mechanism designer that facilitates match-making but relies on firms for additional screening of the unemployed.
Summary
The work laid out in this proposal aims to change our understanding of labor markets by viewing both the mobility as well as the frictions in the market as a consequence of long-term worker heterogeneity. Despite the advances in information technology which substantially reduce the costs of sending information (job advertisements, job applications) extracting the relevant information about worker quality remains hard. Long-term differences in ability coupled with screening frictions are proposed as the main reason for mismatch, for mobility, and for the presence of unemployment.
The proposal is based on novel empirical observations on occupational mobility. Both low-paid workers as well as high-paid workers in an occupation tend to leave it. The former tend to move to occupations with lower average pay, while the opposite holds for the latter. This happens even within firms, and after excluding managerial positions.
Most work on selection assumes that low-earners leave. This data suggest a novel angle: Workers have a long-term type that affects productivity in their current and in new occupations. They might accumulate human capital, but also their baseline ability is imperfectly known. Unexpectedly low performers (low-wage workers) have to leave towards less demanding tasks, while high performers change to more demanding tasks. This consistently accounts for the observed selection patterns.
When workers know more about their ability than new firms, this also explains unemployment: firms spend efforts on screening, and impose costs on workers to induce them to self-select. The latter counteracts exogenous reductions in workers’ search costs. The aim is to develop a tractable model of screening unemployment that can serve as a building block in larger macro-labor models, and to assess the work of the government employment agency through the lens of a mechanism designer that facilitates match-making but relies on firms for additional screening of the unemployed.
Max ERC Funding
1 170 000 €
Duration
Start date: 2012-09-01, End date: 2017-08-31