Project acronym AROMA-CFD
Project Advanced Reduced Order Methods with Applications in Computational Fluid Dynamics
Researcher (PI) Gianluigi Rozza
Host Institution (HI) SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
Call Details Consolidator Grant (CoG), PE1, ERC-2015-CoG
Summary The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.
Summary
The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.
Max ERC Funding
1 656 579 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym ASNODEV
Project Aspirations Social Norms and Development
Researcher (PI) Eliana LA FERRARA
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Advanced Grant (AdG), SH1, ERC-2015-AdG
Summary Development economists and policymakers often face scenarios in which poor people do not make choices that would help them get out of poverty due to an “aspiration failure”: the poor perceive certain goals as unattainable and do not invest towards those goals, thus perpetuating their own state of poverty. The aim of this proposal is to improve our understanding of the relationship between aspirations and socio-economic outcomes of disadvantaged individuals, in order to answer the question: Can we design policy interventions that shift aspirations in a way that is conducive to development?
In addressing the above question a fundamental role is played by social norms and by the ability of individuals to coordinate on “new” aspirations, hence the analysis of social effects is a salient feature of this proposal.
The proposed research is organized in two workpackages. The first focuses on the media as a vehicle for changing aspirations, examining both commercial TV programs and “educational entertainment”. The second workpackage examines “tailored” interventions designed to address specific determinants of aspiration failures (e.g., psychological support to reduce perceived barriers; inter-racial interaction to change stereotypes; institutional reform to strengthen women’s rights and reduce the gender aspiration gap).
The methodology will involve rigorous evaluation of several interventions directly designed to or indirectly affecting aspirations and social norms. Original data collected through survey work, large administrative datasets and media content analysis will be used.
The results of this project will advance our knowledge on the sources of aspiration failures by poor people and on the interplay between aspirations and social norms, eventually opening the avenue for a new array of anti-poverty policies.
Summary
Development economists and policymakers often face scenarios in which poor people do not make choices that would help them get out of poverty due to an “aspiration failure”: the poor perceive certain goals as unattainable and do not invest towards those goals, thus perpetuating their own state of poverty. The aim of this proposal is to improve our understanding of the relationship between aspirations and socio-economic outcomes of disadvantaged individuals, in order to answer the question: Can we design policy interventions that shift aspirations in a way that is conducive to development?
In addressing the above question a fundamental role is played by social norms and by the ability of individuals to coordinate on “new” aspirations, hence the analysis of social effects is a salient feature of this proposal.
The proposed research is organized in two workpackages. The first focuses on the media as a vehicle for changing aspirations, examining both commercial TV programs and “educational entertainment”. The second workpackage examines “tailored” interventions designed to address specific determinants of aspiration failures (e.g., psychological support to reduce perceived barriers; inter-racial interaction to change stereotypes; institutional reform to strengthen women’s rights and reduce the gender aspiration gap).
The methodology will involve rigorous evaluation of several interventions directly designed to or indirectly affecting aspirations and social norms. Original data collected through survey work, large administrative datasets and media content analysis will be used.
The results of this project will advance our knowledge on the sources of aspiration failures by poor people and on the interplay between aspirations and social norms, eventually opening the avenue for a new array of anti-poverty policies.
Max ERC Funding
1 618 125 €
Duration
Start date: 2016-11-01, End date: 2021-10-31
Project acronym CAVE
Project Challenges and Advancements in Virtual Elements
Researcher (PI) Lourenco Beirao da veiga
Host Institution (HI) UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Call Details Consolidator Grant (CoG), PE1, ERC-2015-CoG
Summary The Virtual Element Method (VEM) is a novel technology for the discretization of partial differential equations (PDEs), that shares the same variational background as the Finite Element Method. First but not only, the VEM responds to the strongly increasing interest in using general polyhedral and polygonal meshes in the approximation of PDEs without the limit of using tetrahedral or hexahedral grids. By avoiding the explicit integration of the shape functions that span the discrete space and introducing an innovative construction of the stiffness matrixes, the VEM acquires very interesting properties and advantages with respect to more standard Galerkin methods, yet still keeping the same coding complexity. For instance, the VEM easily allows for polygonal/polyhedral meshes (even non-conforming) with non-convex elements and possibly with curved faces; it allows for discrete spaces of arbitrary C^k regularity on unstructured meshes.
The main scope of the project is to address the recent theoretical challenges posed by VEM and to assess whether this promising technology can achieve a breakthrough in applications. First, the theoretical and computational foundations of VEM will be made stronger. A deeper theoretical insight, supported by a wider numerical experience on benchmark problems, will be developed to gain a better understanding of the method's potentials and set the foundations for more applicative purposes. Second, we will focus our attention on two tough and up-to-date problems of practical interest: large deformation elasticity (where VEM can yield a dramatically more efficient handling of material inclusions, meshing of the domain and grid adaptivity, plus a much stronger robustness with respect to large grid distortions) and the cardiac bidomain model (where VEM can lead to a more accurate domain approximation through MRI data, a flexible refinement/de-refinement procedure along the propagation front, to an exact satisfaction of conservation laws).
Summary
The Virtual Element Method (VEM) is a novel technology for the discretization of partial differential equations (PDEs), that shares the same variational background as the Finite Element Method. First but not only, the VEM responds to the strongly increasing interest in using general polyhedral and polygonal meshes in the approximation of PDEs without the limit of using tetrahedral or hexahedral grids. By avoiding the explicit integration of the shape functions that span the discrete space and introducing an innovative construction of the stiffness matrixes, the VEM acquires very interesting properties and advantages with respect to more standard Galerkin methods, yet still keeping the same coding complexity. For instance, the VEM easily allows for polygonal/polyhedral meshes (even non-conforming) with non-convex elements and possibly with curved faces; it allows for discrete spaces of arbitrary C^k regularity on unstructured meshes.
The main scope of the project is to address the recent theoretical challenges posed by VEM and to assess whether this promising technology can achieve a breakthrough in applications. First, the theoretical and computational foundations of VEM will be made stronger. A deeper theoretical insight, supported by a wider numerical experience on benchmark problems, will be developed to gain a better understanding of the method's potentials and set the foundations for more applicative purposes. Second, we will focus our attention on two tough and up-to-date problems of practical interest: large deformation elasticity (where VEM can yield a dramatically more efficient handling of material inclusions, meshing of the domain and grid adaptivity, plus a much stronger robustness with respect to large grid distortions) and the cardiac bidomain model (where VEM can lead to a more accurate domain approximation through MRI data, a flexible refinement/de-refinement procedure along the propagation front, to an exact satisfaction of conservation laws).
Max ERC Funding
980 634 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
Project acronym CHANGE
Project New CHallenges for (adaptive) PDE solvers: the interplay of ANalysis and GEometry
Researcher (PI) Annalisa BUFFA
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Advanced Grant (AdG), PE1, ERC-2015-AdG
Summary The simulation of Partial Differential Equations (PDEs) is an indispensable tool for innovation in science and technology.
Computer-based simulation of PDEs approximates unknowns defined on a geometrical entity such as the computational domain with all of its properties. Mainly due to historical reasons, geometric design and numerical methods for PDEs have been developed independently, resulting in tools that rely on different representations of the same objects.
CHANGE aims at developing innovative mathematical tools for numerically solving PDEs and for geometric modeling and processing, the final goal being the definition of a common framework where geometrical entities and simulation are coherently integrated and where adaptive methods can be used to guarantee optimal use of computer resources, from the geometric description to the simulation.
We will concentrate on two classes of methods for the discretisation of PDEs that are having growing impact:
isogeometric methods and variational methods on polyhedral partitions. They are both extensions of standard finite elements enjoying exciting features, but both lack of an ad-hoc geometric modelling counterpart.
We will extend numerical methods to ensure robustness on the most general geometric models, and we will develop geometric tools to construct, manipulate and refine such models. Based on our tools, we will design an innovative adaptive framework, that jointly exploits multilevel representation of geometric entities and PDE unknowns.
Moreover, efficient algorithms call for efficient implementation: the issue of the optimisation of our algorithms on modern computer architecture will be addressed.
Our research (and the team involved in the project) will combine competencies in computer science, numerical analysis, high performance computing, and computational mechanics. Leveraging our innovative tools, we will also tackle challenging numerical problems deriving from bio-mechanical applications.
Summary
The simulation of Partial Differential Equations (PDEs) is an indispensable tool for innovation in science and technology.
Computer-based simulation of PDEs approximates unknowns defined on a geometrical entity such as the computational domain with all of its properties. Mainly due to historical reasons, geometric design and numerical methods for PDEs have been developed independently, resulting in tools that rely on different representations of the same objects.
CHANGE aims at developing innovative mathematical tools for numerically solving PDEs and for geometric modeling and processing, the final goal being the definition of a common framework where geometrical entities and simulation are coherently integrated and where adaptive methods can be used to guarantee optimal use of computer resources, from the geometric description to the simulation.
We will concentrate on two classes of methods for the discretisation of PDEs that are having growing impact:
isogeometric methods and variational methods on polyhedral partitions. They are both extensions of standard finite elements enjoying exciting features, but both lack of an ad-hoc geometric modelling counterpart.
We will extend numerical methods to ensure robustness on the most general geometric models, and we will develop geometric tools to construct, manipulate and refine such models. Based on our tools, we will design an innovative adaptive framework, that jointly exploits multilevel representation of geometric entities and PDE unknowns.
Moreover, efficient algorithms call for efficient implementation: the issue of the optimisation of our algorithms on modern computer architecture will be addressed.
Our research (and the team involved in the project) will combine competencies in computer science, numerical analysis, high performance computing, and computational mechanics. Leveraging our innovative tools, we will also tackle challenging numerical problems deriving from bio-mechanical applications.
Max ERC Funding
2 199 219 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
Project acronym FLIRT
Project Fluid Flows and Irregular Transport
Researcher (PI) Gianluca Crippa
Host Institution (HI) UNIVERSITAT BASEL
Call Details Starting Grant (StG), PE1, ERC-2015-STG
Summary "Several important partial differential equations (PDEs) arising in the mathematical description of physical phenomena exhibit transport features: physical quantities are advected by velocity fields that drive the dynamics of the system. This is the case for instance for the Euler equation of fluid dynamics, for conservation laws, and for kinetic equations.
An ubiquitous feature of these phenomena is their intrinsic lack of regularity. From the mathematical point of view this stems from the nonlinearity and/or nonlocality of the PDEs. Moreover, the lack of regularity also encodes actual properties of the underlying physical systems: conservation laws develop shocks (discontinuities that propagate in time), solutions to the Euler equation exhibit rough and ""disordered"" behaviors. This irregularity is the major difficulty in the mathematical analysis of such problems, since it prevents the use of many standard methods, foremost the classical (and powerful) theory of characteristics.
For these reasons, the study in a non smooth setting of transport and continuity equations, and of flows of ordinary differential equations, is a fundamental tool to approach challenging important questions concerning these PDEs.
This project aims at establishing:
(1) deep insight into the structure of solutions of nonlinear PDEs, in particular the Euler equation and multidimensional systems of conservation laws,
(2) rigorous bounds for mixing phenomena in fluid flows, phenomena for which giving a precise mathematical formulation is extremely challenging.
The unifying factor of this proposal is that the analysis will rely on major advances in the theory of flows of ordinary differential equations in a non smooth setting, thus providing a robust formulation via characteristics for the PDEs under consideration. The guiding thread is the crucial role of geometric measure theory techniques, which are extremely efficient to describe and investigate irregular phenomena."
Summary
"Several important partial differential equations (PDEs) arising in the mathematical description of physical phenomena exhibit transport features: physical quantities are advected by velocity fields that drive the dynamics of the system. This is the case for instance for the Euler equation of fluid dynamics, for conservation laws, and for kinetic equations.
An ubiquitous feature of these phenomena is their intrinsic lack of regularity. From the mathematical point of view this stems from the nonlinearity and/or nonlocality of the PDEs. Moreover, the lack of regularity also encodes actual properties of the underlying physical systems: conservation laws develop shocks (discontinuities that propagate in time), solutions to the Euler equation exhibit rough and ""disordered"" behaviors. This irregularity is the major difficulty in the mathematical analysis of such problems, since it prevents the use of many standard methods, foremost the classical (and powerful) theory of characteristics.
For these reasons, the study in a non smooth setting of transport and continuity equations, and of flows of ordinary differential equations, is a fundamental tool to approach challenging important questions concerning these PDEs.
This project aims at establishing:
(1) deep insight into the structure of solutions of nonlinear PDEs, in particular the Euler equation and multidimensional systems of conservation laws,
(2) rigorous bounds for mixing phenomena in fluid flows, phenomena for which giving a precise mathematical formulation is extremely challenging.
The unifying factor of this proposal is that the analysis will rely on major advances in the theory of flows of ordinary differential equations in a non smooth setting, thus providing a robust formulation via characteristics for the PDEs under consideration. The guiding thread is the crucial role of geometric measure theory techniques, which are extremely efficient to describe and investigate irregular phenomena."
Max ERC Funding
1 009 351 €
Duration
Start date: 2016-06-01, End date: 2021-05-31
Project acronym GRAPHCPX
Project A graph complex valued field theory
Researcher (PI) Thomas Hans Willwacher
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), PE1, ERC-2015-STG
Summary The goal of the proposed project is to create a universal (AKSZ type) topological field theory with values in graph complexes, capturing the rational homotopy types of manifolds, configuration and embedding spaces.
If successful, such a theory will unite certain areas of mathematical physics, topology, homological algebra and algebraic geometry. More concretely, from the physical viewpoint it would give a precise topological interpretation of a class of well studied topological field theories, as opposed to the current state of the art, in which these theories are defined by giving formulae without guarantees on the non-triviality of the produced invariants.
From the topological viewpoint such a theory will provide new tools to study much sought after objects like configuration and embedding spaces, and tentatively also diffeomorphism groups, through small combinatorial models given by Feynman diagrams. In particular, this will unite and extend existing graphical models of configuration and embedding spaces due to Kontsevich, Lambrechts, Volic, Arone, Turchin and others.
From the homological algebra viewpoint a field theory as above provides a wealth of additional algebraic structures on the graph complexes, which are some of the most central and most mysterious objects in the field.
Such algebraic structures are expected to yield constraints on the graph cohomology, as well as ways to construct series of previously unknown classes.
Summary
The goal of the proposed project is to create a universal (AKSZ type) topological field theory with values in graph complexes, capturing the rational homotopy types of manifolds, configuration and embedding spaces.
If successful, such a theory will unite certain areas of mathematical physics, topology, homological algebra and algebraic geometry. More concretely, from the physical viewpoint it would give a precise topological interpretation of a class of well studied topological field theories, as opposed to the current state of the art, in which these theories are defined by giving formulae without guarantees on the non-triviality of the produced invariants.
From the topological viewpoint such a theory will provide new tools to study much sought after objects like configuration and embedding spaces, and tentatively also diffeomorphism groups, through small combinatorial models given by Feynman diagrams. In particular, this will unite and extend existing graphical models of configuration and embedding spaces due to Kontsevich, Lambrechts, Volic, Arone, Turchin and others.
From the homological algebra viewpoint a field theory as above provides a wealth of additional algebraic structures on the graph complexes, which are some of the most central and most mysterious objects in the field.
Such algebraic structures are expected to yield constraints on the graph cohomology, as well as ways to construct series of previously unknown classes.
Max ERC Funding
1 162 500 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
Project acronym LYSOSOMICS
Project Functional Genomics of the Lysosome
Researcher (PI) Andrea BALLABIO
Host Institution (HI) FONDAZIONE TELETHON
Call Details Advanced Grant (AdG), LS2, ERC-2015-AdG
Summary For a long time the lysosome has been viewed as a “static” organelle that performs “routine” work for the cell, mostly pertaining to degradation and recycling of cellular waste. My group has challenged this view and used a systems biology approach to discover that the lysosome is subject to a global transcriptional regulation, is able to adapt to environmental clues, and acts as a signalling hub to regulate cell homeostasis. Furthermore, an emerging role of the lysosome has been identified in many types of diseases, including the common neurodegenerative disorders Parkinson's and Alzheimer’s. These findings have opened entirely new fields of investigation on lysosomal biology, suggesting that there is a lot to be learned on the role of the lysosome in health and disease. The goal of LYSOSOMICS is to use “omics” approaches to study lysosomal function and its regulation in normal and pathological conditions. In this “organellar systems biology project” we plan to perform several types of genetic perturbations in three widely used cell lines and study their effects on lysosomal function using a set of newly developed cellular phenotypic assays. Moreover, we plan to identify lysosomal protein-protein interactions using a novel High Content FRET-based approach. Finally, we will use the CRISPR-Cas9 technology to generate a collection of cellular models for all lysosomal storage diseases, a group of severe inherited diseases often associated with early onset neurodegeneration. State-of-the-art computational approaches will be used to predict gene function and identify disease mechanisms potentially exploitable for therapeutic purposes. The physiological relevance of newly identified pathways will be validated by in vivo studies performed on selected genes by using medaka and mice as model systems. This study will allow us to gain a comprehensive understanding of lysosomal function and dysfunction and to use this knowledge to develop new therapeutic strategies.
Summary
For a long time the lysosome has been viewed as a “static” organelle that performs “routine” work for the cell, mostly pertaining to degradation and recycling of cellular waste. My group has challenged this view and used a systems biology approach to discover that the lysosome is subject to a global transcriptional regulation, is able to adapt to environmental clues, and acts as a signalling hub to regulate cell homeostasis. Furthermore, an emerging role of the lysosome has been identified in many types of diseases, including the common neurodegenerative disorders Parkinson's and Alzheimer’s. These findings have opened entirely new fields of investigation on lysosomal biology, suggesting that there is a lot to be learned on the role of the lysosome in health and disease. The goal of LYSOSOMICS is to use “omics” approaches to study lysosomal function and its regulation in normal and pathological conditions. In this “organellar systems biology project” we plan to perform several types of genetic perturbations in three widely used cell lines and study their effects on lysosomal function using a set of newly developed cellular phenotypic assays. Moreover, we plan to identify lysosomal protein-protein interactions using a novel High Content FRET-based approach. Finally, we will use the CRISPR-Cas9 technology to generate a collection of cellular models for all lysosomal storage diseases, a group of severe inherited diseases often associated with early onset neurodegeneration. State-of-the-art computational approaches will be used to predict gene function and identify disease mechanisms potentially exploitable for therapeutic purposes. The physiological relevance of newly identified pathways will be validated by in vivo studies performed on selected genes by using medaka and mice as model systems. This study will allow us to gain a comprehensive understanding of lysosomal function and dysfunction and to use this knowledge to develop new therapeutic strategies.
Max ERC Funding
2 362 563 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
Project acronym MACROPMF
Project Macroeconomic Dynamics with Product Market Frictions
Researcher (PI) Luigi Paciello
Host Institution (HI) Istituto Einaudi per l'Economia e la Finanza
Call Details Starting Grant (StG), SH1, ERC-2015-STG
Summary The transmission of microeconomic and macroeconomic shocks to firms' price and demand in product markets is the cornerstone of a large volume of macroeconomic literature. Product market frictions, by reducing the ability of demand to relocate across different suppliers, affect firms' incentives when setting prices, and therefore the pass-through of shocks to both demand and prices.
In this project we plan to study the implications of product market frictions for firm level price and demand dynamics, as well as for macroeconomic dynamics. The aim is to integrate micro and macro economics, both theoretically and empirically, to a greater extent than is currently done in the literature.
We will apply our tools to two main areas of interest. First, we will study how product market frictions affect the optimal pricing decision of firms, and the relocation of consumers across different suppliers. We will provide novel empirical microeconomic evidence on the relationship between price and consumer dynamics. We will build a rich but yet tractable model where product market frictions give rise to firm pricing with customer markets. The aim is to use observable statistics from the micro data to estimate the key parameters of the model and quantify the relevance of the product market frictions for firm pricing and demand dynamics.
Second, we will explore the importance of product market frictions for macroeconomic dynamics. We will apply our quantified model of price and consumer dynamics to areas of macroeconomics where we expect our methodology and empirical analysis to be more relevant, both because of the types of questions addressed and because of a direct relationship with the mechanism. In particular we will focus on the role of product market frictions for business cycle fluctuations and international trade.
Summary
The transmission of microeconomic and macroeconomic shocks to firms' price and demand in product markets is the cornerstone of a large volume of macroeconomic literature. Product market frictions, by reducing the ability of demand to relocate across different suppliers, affect firms' incentives when setting prices, and therefore the pass-through of shocks to both demand and prices.
In this project we plan to study the implications of product market frictions for firm level price and demand dynamics, as well as for macroeconomic dynamics. The aim is to integrate micro and macro economics, both theoretically and empirically, to a greater extent than is currently done in the literature.
We will apply our tools to two main areas of interest. First, we will study how product market frictions affect the optimal pricing decision of firms, and the relocation of consumers across different suppliers. We will provide novel empirical microeconomic evidence on the relationship between price and consumer dynamics. We will build a rich but yet tractable model where product market frictions give rise to firm pricing with customer markets. The aim is to use observable statistics from the micro data to estimate the key parameters of the model and quantify the relevance of the product market frictions for firm pricing and demand dynamics.
Second, we will explore the importance of product market frictions for macroeconomic dynamics. We will apply our quantified model of price and consumer dynamics to areas of macroeconomics where we expect our methodology and empirical analysis to be more relevant, both because of the types of questions addressed and because of a direct relationship with the mechanism. In particular we will focus on the role of product market frictions for business cycle fluctuations and international trade.
Max ERC Funding
1 192 000 €
Duration
Start date: 2016-02-01, End date: 2020-01-31
Project acronym PolEc
Project The Political Economy of Power Relations
Researcher (PI) Massimo MORELLI
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Advanced Grant (AdG), SH1, ERC-2015-AdG
Summary Political economists want to understand conflict, electoral competition, special interest politics, regimes and institutional choices, and in all these subfields the term power appears frequently: power of countries, power of ethnic groups, power of interest groups, power of parties, power of the bureaucracy.
Power is multidimensional and endogenous, and hence the standard theoretical and empirical analysis that takes a unified notion of power as an independent variable has led to wrong directions.
By acknowledging that power is multidimensional and endogenous, and thereby studying the endogenous interactions between the different types of power, we can further significantly the frontier of political economy.
In particular, I am going to show, theoretically and empirically, that all kinds of conflict, from civil war to interstate war and even class conflict, depend on the “mismatch” between the relative power of the key players on different dimensions, for example military and political power.
An important byproduct of the mismatch theory is for the interpretation of the history of conflict after 1950:
I claim that it is Bretton Woods that created the ground for a significant discontinuity, cutting down the incentives to interstate wars but increasing the incentives to start civil wars.
Finally, the general idea that the dynamics of one type of power can depend significantly on relative power in other spheres will be applied also to the relationship between political power and the power of bureaucracies.
The empirical part of the project will involve new measurements of power and will benefit from collection of data on political texts, policy platform texts, legal texts and economic strength of ethnic groups over time and cross-countries.
Summary
Political economists want to understand conflict, electoral competition, special interest politics, regimes and institutional choices, and in all these subfields the term power appears frequently: power of countries, power of ethnic groups, power of interest groups, power of parties, power of the bureaucracy.
Power is multidimensional and endogenous, and hence the standard theoretical and empirical analysis that takes a unified notion of power as an independent variable has led to wrong directions.
By acknowledging that power is multidimensional and endogenous, and thereby studying the endogenous interactions between the different types of power, we can further significantly the frontier of political economy.
In particular, I am going to show, theoretically and empirically, that all kinds of conflict, from civil war to interstate war and even class conflict, depend on the “mismatch” between the relative power of the key players on different dimensions, for example military and political power.
An important byproduct of the mismatch theory is for the interpretation of the history of conflict after 1950:
I claim that it is Bretton Woods that created the ground for a significant discontinuity, cutting down the incentives to interstate wars but increasing the incentives to start civil wars.
Finally, the general idea that the dynamics of one type of power can depend significantly on relative power in other spheres will be applied also to the relationship between political power and the power of bureaucracies.
The empirical part of the project will involve new measurements of power and will benefit from collection of data on political texts, policy platform texts, legal texts and economic strength of ethnic groups over time and cross-countries.
Max ERC Funding
1 540 625 €
Duration
Start date: 2016-09-01, End date: 2021-08-31
Project acronym POLICIES_FOR_PEACE
Project The economics of lasting peace: The role of policies and institutions
Researcher (PI) Dominic Patrick Rohner
Host Institution (HI) UNIVERSITE DE LAUSANNE
Call Details Starting Grant (StG), SH1, ERC-2015-STG
Summary This project aims to study what key institutions and policies are best suited to reduce incentives for engaging in appropriation and armed conflict. For achieving and sustaining peace it is crucial to get the incentives right of all main actors in society. While subproject 1 focuses on short-run policies to stop the fighting by drying out the funding of rebel groups and hence move from war to peace, all the remaining subprojects take a medium- to long-run perspective. Subprojects 2 and 3 focus on the medium-run and assess what mix of policies can help to bridge the short- with the long-run and consolidate peace. In particular, drawing on very fine-grained data from Northern Ireland I will in subproject 2 assess the role and interplay of factors of escalation / containment of violence (“Orange marches”, “peace walls”) and factors driving democratic representation (gerrymandering and power-sharing). In subproject 3 I will perform a network and conflict analysis based on Twitter data for the Arab Spring to assess the role of civil liberties and freedom of speech in consolidating peace. Subprojects 4 to 6 study factors that are crucial for sustaining long-run peace. In subproject 4 I will build a model of how the main political institutions affect the incentives for contesting democracy on the battlefield, focusing on the role of electoral systems, coalition governments, federalism and direct democracy. Subproject 5 studies the role of education for sustaining peace. With the help of a game-theoretic model I will study the various channels through which education affects incentives for conflict, before testing the main predictions empirically. Subproject 6 focuses on another key role of modern states: Health policies. After building a theory of how health affects combat incentives, I will exploit medical innovations to assess the causal impact of health improvement on conflict incentives.
Summary
This project aims to study what key institutions and policies are best suited to reduce incentives for engaging in appropriation and armed conflict. For achieving and sustaining peace it is crucial to get the incentives right of all main actors in society. While subproject 1 focuses on short-run policies to stop the fighting by drying out the funding of rebel groups and hence move from war to peace, all the remaining subprojects take a medium- to long-run perspective. Subprojects 2 and 3 focus on the medium-run and assess what mix of policies can help to bridge the short- with the long-run and consolidate peace. In particular, drawing on very fine-grained data from Northern Ireland I will in subproject 2 assess the role and interplay of factors of escalation / containment of violence (“Orange marches”, “peace walls”) and factors driving democratic representation (gerrymandering and power-sharing). In subproject 3 I will perform a network and conflict analysis based on Twitter data for the Arab Spring to assess the role of civil liberties and freedom of speech in consolidating peace. Subprojects 4 to 6 study factors that are crucial for sustaining long-run peace. In subproject 4 I will build a model of how the main political institutions affect the incentives for contesting democracy on the battlefield, focusing on the role of electoral systems, coalition governments, federalism and direct democracy. Subproject 5 studies the role of education for sustaining peace. With the help of a game-theoretic model I will study the various channels through which education affects incentives for conflict, before testing the main predictions empirically. Subproject 6 focuses on another key role of modern states: Health policies. After building a theory of how health affects combat incentives, I will exploit medical innovations to assess the causal impact of health improvement on conflict incentives.
Max ERC Funding
1 013 720 €
Duration
Start date: 2016-08-01, End date: 2021-07-31
