Project acronym APACHE
Project Atmospheric Pressure plAsma meets biomaterials for bone Cancer HEaling
Researcher (PI) Cristina CANAL BARNILS
Host Institution (HI) UNIVERSITAT POLITECNICA DE CATALUNYA
Call Details Starting Grant (StG), PE8, ERC-2016-STG
Summary Cold atmospheric pressure plasmas (APP) have been reported to selectively kill cancer cells without damaging the surrounding tissues. Studies have been conducted on a variety of cancer types but to the best of our knowledge not on any kind of bone cancer. Treatment options for bone cancer include surgery, chemotherapy, etc. and may involve the use of bone grafting biomaterials to replace the surgically removed bone.
APACHE brings a totally different and ground-breaking approach in the design of a novel therapy for bone cancer by taking advantage of the active species generated by APP in combination with biomaterials to deliver the active species locally in the diseased site. The feasibility of this approach is rooted in the evidence that the cellular effects of APP appear to strongly involve the suite of reactive species created by plasmas, which can be derived from a) direct treatment of the malignant cells by APP or b) indirect treatment of the liquid media by APP which is then put in contact with the cancer cells.
In APACHE we aim to investigate the fundamentals involved in the lethal effects of cold plasmas on bone cancer cells, and to develop improved bone cancer therapies. To achieve this we will take advantage of the highly reactive species generated by APP in the liquid media, which we will use in an incremental strategy: i) to investigate the effects of APP treated liquid on bone cancer cells, ii) to evaluate the potential of combining APP treated liquid in a hydrogel vehicle with/wo CaP biomaterials and iii) to ascertain the potential three directional interactions between APP reactive species in liquid medium with biomaterials and with chemotherapeutic drugs.
The methodological approach will involve an interdisciplinary team, dealing with plasma diagnostics in gas and liquid media; with cell biology and the effects of APP treated with bone tumor cells and its combination with biomaterials and/or with anticancer drugs.
Summary
Cold atmospheric pressure plasmas (APP) have been reported to selectively kill cancer cells without damaging the surrounding tissues. Studies have been conducted on a variety of cancer types but to the best of our knowledge not on any kind of bone cancer. Treatment options for bone cancer include surgery, chemotherapy, etc. and may involve the use of bone grafting biomaterials to replace the surgically removed bone.
APACHE brings a totally different and ground-breaking approach in the design of a novel therapy for bone cancer by taking advantage of the active species generated by APP in combination with biomaterials to deliver the active species locally in the diseased site. The feasibility of this approach is rooted in the evidence that the cellular effects of APP appear to strongly involve the suite of reactive species created by plasmas, which can be derived from a) direct treatment of the malignant cells by APP or b) indirect treatment of the liquid media by APP which is then put in contact with the cancer cells.
In APACHE we aim to investigate the fundamentals involved in the lethal effects of cold plasmas on bone cancer cells, and to develop improved bone cancer therapies. To achieve this we will take advantage of the highly reactive species generated by APP in the liquid media, which we will use in an incremental strategy: i) to investigate the effects of APP treated liquid on bone cancer cells, ii) to evaluate the potential of combining APP treated liquid in a hydrogel vehicle with/wo CaP biomaterials and iii) to ascertain the potential three directional interactions between APP reactive species in liquid medium with biomaterials and with chemotherapeutic drugs.
The methodological approach will involve an interdisciplinary team, dealing with plasma diagnostics in gas and liquid media; with cell biology and the effects of APP treated with bone tumor cells and its combination with biomaterials and/or with anticancer drugs.
Max ERC Funding
1 499 887 €
Duration
Start date: 2017-04-01, End date: 2022-03-31
Project acronym CAMBAT
Project Calcium and magnesium metal anode based batteries
Researcher (PI) Alexandre PONROUCH
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Call Details Starting Grant (StG), PE8, ERC-2016-STG
Summary Li-ion battery is ubiquitous and has emerged as the major contender to power electric vehicles, yet Li-ion is slowly but surely reaching its limits and controversial debates on lithium supply cannot be ignored. New sustainable battery chemistries must be developed and the most appealing alternatives are to use Ca or Mg metal anodes which would bring a breakthrough in terms of energy density relying on much more abundant elements. Since Mg and Ca do not appear to be plagued by dendrite formation like Li, metal anodes could thus safely be used. While standard electrolytes forming stable passivation layers at the electrode/electrolyte interfaces enabled the success of the Li-ion technology, the migration of divalent cations through a passivation layer was thought to be impossible. Thus, all research efforts to date have been devoted to the formulation of electrolytes that do not form such layer. This approach comes with complex electrolyte, highly corrosive and with narrow electrochemical stability window leading to incompatibility with high voltage cathodes thus penalizing energy density.
The applicant demonstrated that calcium can be reversibly plated and stripped through a stable passivation layer when transport properties within the electrolyte are tuned (decreasing ion pair formation). CAMBAT aims at developing new electrolytes forming stable passivation layers and allowing the migration of Ca2+ and Mg2+. Such a dramatic shift in the methodology would allow considering a completely new family of electrolytes enabling the evaluation of high voltage cathode materials that cannot be tested in the electrolytes available nowadays. 1Ah prototype cells will be assembled as proof of concept, targets for energy density and cost being ca. 300 Wh/kg and 250 $/kWh, respectively, thus doubling the energy density while dividing by at least a factor of 2 the price when compared to state of the art Li-ion batteries and having the potential for being SAFER (absence of dendrite).
Summary
Li-ion battery is ubiquitous and has emerged as the major contender to power electric vehicles, yet Li-ion is slowly but surely reaching its limits and controversial debates on lithium supply cannot be ignored. New sustainable battery chemistries must be developed and the most appealing alternatives are to use Ca or Mg metal anodes which would bring a breakthrough in terms of energy density relying on much more abundant elements. Since Mg and Ca do not appear to be plagued by dendrite formation like Li, metal anodes could thus safely be used. While standard electrolytes forming stable passivation layers at the electrode/electrolyte interfaces enabled the success of the Li-ion technology, the migration of divalent cations through a passivation layer was thought to be impossible. Thus, all research efforts to date have been devoted to the formulation of electrolytes that do not form such layer. This approach comes with complex electrolyte, highly corrosive and with narrow electrochemical stability window leading to incompatibility with high voltage cathodes thus penalizing energy density.
The applicant demonstrated that calcium can be reversibly plated and stripped through a stable passivation layer when transport properties within the electrolyte are tuned (decreasing ion pair formation). CAMBAT aims at developing new electrolytes forming stable passivation layers and allowing the migration of Ca2+ and Mg2+. Such a dramatic shift in the methodology would allow considering a completely new family of electrolytes enabling the evaluation of high voltage cathode materials that cannot be tested in the electrolytes available nowadays. 1Ah prototype cells will be assembled as proof of concept, targets for energy density and cost being ca. 300 Wh/kg and 250 $/kWh, respectively, thus doubling the energy density while dividing by at least a factor of 2 the price when compared to state of the art Li-ion batteries and having the potential for being SAFER (absence of dendrite).
Max ERC Funding
1 688 705 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym CHAI
Project Cardiovascular Health effects of Air pollution in Andhra Pradesh, India
Researcher (PI) Cathryn Tonne
Host Institution (HI) FUNDACION PRIVADA INSTITUTO DE SALUD GLOBAL BARCELONA
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary While there is convincing evidence that exposure to particulate air pollution causes cardiovascular mortality and morbidity, nearly all of this evidence is based on populations in high-income countries where concentrations are relatively low. There is large uncertainty regarding the relationship between combustion particles and cardiovascular risk for concentrations higher than outdoor concentrations in urban areas of high-income countries and lower than active smoking. Exposures for our study population are likely to be in this range.
We will investigate the cardiovascular health effects of exposure to particles from outdoor and household sources within a prospective cohort in Andhra Pradesh, India. Firstly, we will characterise exposure of participants using an integrated approach utilising outdoor mobile monitoring, personal monitoring, and questionnaire data. We will then collect data on participants’ activities and location using ‘life-logging’ from which activities driving exposure can be identified. Finally, we will quantify the association between exposure to particles and biomarkers of atherosclerosis.
This research will shed light on the relationship between particles and cardiovascular risk at concentration ranges where there is the largest uncertainty. It will provide some of the first evidence of the cardiovascular health effects of medium-term exposure to particulate air pollution outside of a high-income country. The research will also provide evidence regarding the relative contribution of sources and activities linked to high exposure, forming the basis of recommendations for exposure reduction.
Summary
While there is convincing evidence that exposure to particulate air pollution causes cardiovascular mortality and morbidity, nearly all of this evidence is based on populations in high-income countries where concentrations are relatively low. There is large uncertainty regarding the relationship between combustion particles and cardiovascular risk for concentrations higher than outdoor concentrations in urban areas of high-income countries and lower than active smoking. Exposures for our study population are likely to be in this range.
We will investigate the cardiovascular health effects of exposure to particles from outdoor and household sources within a prospective cohort in Andhra Pradesh, India. Firstly, we will characterise exposure of participants using an integrated approach utilising outdoor mobile monitoring, personal monitoring, and questionnaire data. We will then collect data on participants’ activities and location using ‘life-logging’ from which activities driving exposure can be identified. Finally, we will quantify the association between exposure to particles and biomarkers of atherosclerosis.
This research will shed light on the relationship between particles and cardiovascular risk at concentration ranges where there is the largest uncertainty. It will provide some of the first evidence of the cardiovascular health effects of medium-term exposure to particulate air pollution outside of a high-income country. The research will also provide evidence regarding the relative contribution of sources and activities linked to high exposure, forming the basis of recommendations for exposure reduction.
Max ERC Funding
1 200 000 €
Duration
Start date: 2015-01-01, End date: 2018-12-31
Project acronym CHANGING FAMILIES
Project Changing Families: Causes, Consequences and Challenges for Public Policy
Researcher (PI) Nezih Guner
Host Institution (HI) FUNDACIÓ MARKETS, ORGANIZATIONS AND VOTES IN ECONOMICS
Call Details Starting Grant (StG), SH1, ERC-2010-StG_20091209
Summary The household and family structure in every major industrialized country changed in a fundamental way during the last couple of decades. First, marriage is less important today, as divorce, cohabitation, and single-motherhood are much more common. Second, female labor force participation has increased dramatically. As a result of these changes, today s households are very far from traditional breadwinner husband and housekeeper wife paradigm. These dramatic changes generated significant public interest and a large body of literature that tries to understand causes and consequences of these changes.
This project has two main goals. First, it studies changes in household and family structure. The particular questions that it tries to answer are: 1) What are economic factors behind the rise in premarital sex and its destigmatization? What determines parents incentives to socialize their children and affect their attitudes? 2) What are the causes and consequences of the recent rise in assortative mating and diverging marriage patterns by different educational groups? 3) Why are marriage patterns among blacks so different than whites in the U.S.?
The second aim of this project is to improve our understanding of income risk, the role of social insurance policies and labor market dynamics by building models that explicitly considers two-earner households. In particular, we ask the following set of questions: 1) What is the role of social insurance policies (income maintenance programs or progressive taxation) in an economy populated by two-earner households facing uninsurable idiosyncratic risk? 2) How does marriage and labor market dynamics interact and how important this interaction for our understanding of labor supply and marriage decisions?
Summary
The household and family structure in every major industrialized country changed in a fundamental way during the last couple of decades. First, marriage is less important today, as divorce, cohabitation, and single-motherhood are much more common. Second, female labor force participation has increased dramatically. As a result of these changes, today s households are very far from traditional breadwinner husband and housekeeper wife paradigm. These dramatic changes generated significant public interest and a large body of literature that tries to understand causes and consequences of these changes.
This project has two main goals. First, it studies changes in household and family structure. The particular questions that it tries to answer are: 1) What are economic factors behind the rise in premarital sex and its destigmatization? What determines parents incentives to socialize their children and affect their attitudes? 2) What are the causes and consequences of the recent rise in assortative mating and diverging marriage patterns by different educational groups? 3) Why are marriage patterns among blacks so different than whites in the U.S.?
The second aim of this project is to improve our understanding of income risk, the role of social insurance policies and labor market dynamics by building models that explicitly considers two-earner households. In particular, we ask the following set of questions: 1) What is the role of social insurance policies (income maintenance programs or progressive taxation) in an economy populated by two-earner households facing uninsurable idiosyncratic risk? 2) How does marriage and labor market dynamics interact and how important this interaction for our understanding of labor supply and marriage decisions?
Max ERC Funding
1 037 000 €
Duration
Start date: 2010-11-01, End date: 2015-10-31
Project acronym CITIZINGLOBAL
Project Citizens, Institutions and Globalization
Researcher (PI) Giacomo Antonio Maria PONZETTO
Host Institution (HI) Centre de Recerca en Economia Internacional (CREI)
Call Details Starting Grant (StG), SH1, ERC-2016-STG
Summary Globalization has brought the world economy unprecedented prosperity, but it poses governance challenges. It needs governments to provide the infrastructure for global economic integration and to refrain from destructive protectionism; yet it can engender popular discontent and a crisis of democracy. My proposal will study when trade- and productivity-enhancing policies enjoy democratic support; why voters may support instead inefficient surplus-reducing policies; and how political structure reacts to globalization.
Part A studies the puzzling popularity of protectionism and how lobbies can raise it by manipulating information. It will study empirically if greater transparency causes lower trade barriers. It will introduce salience theory to political economics and argue that voters overweight concentrated losses and disregard diffuse benefits. It will show that lobbies can raise protection by channeling information to insiders and advertising the plight of displaced workers.
Part B studies inefficient infrastructure policy and the ensuing spatial misallocation of economic activity. It will show that voters’ unequal knowledge lets local residents capture national policy. They disregard nationwide positive externalities, so investment in major cities is insufficient, but also nationwide taxes, so spending in low-density areas is excessive. It will argue that the fundamental attribution error causes voter opposition to growth-enhancing policies and efficient incentive schemes like congestion pricing.
Part C studies how the size of countries and international unions adapts to expanding trade opportunities. It will focus on three forces: cultural diversity, economies of scale and scope in government, and trade-reducing border effects. It will show they explain increasing country size in the 19th century; the rise and fall of colonial empires; and the recent emergence of regional and global economic unions, accompanied by a peaceful increase in the number of countries.
Summary
Globalization has brought the world economy unprecedented prosperity, but it poses governance challenges. It needs governments to provide the infrastructure for global economic integration and to refrain from destructive protectionism; yet it can engender popular discontent and a crisis of democracy. My proposal will study when trade- and productivity-enhancing policies enjoy democratic support; why voters may support instead inefficient surplus-reducing policies; and how political structure reacts to globalization.
Part A studies the puzzling popularity of protectionism and how lobbies can raise it by manipulating information. It will study empirically if greater transparency causes lower trade barriers. It will introduce salience theory to political economics and argue that voters overweight concentrated losses and disregard diffuse benefits. It will show that lobbies can raise protection by channeling information to insiders and advertising the plight of displaced workers.
Part B studies inefficient infrastructure policy and the ensuing spatial misallocation of economic activity. It will show that voters’ unequal knowledge lets local residents capture national policy. They disregard nationwide positive externalities, so investment in major cities is insufficient, but also nationwide taxes, so spending in low-density areas is excessive. It will argue that the fundamental attribution error causes voter opposition to growth-enhancing policies and efficient incentive schemes like congestion pricing.
Part C studies how the size of countries and international unions adapts to expanding trade opportunities. It will focus on three forces: cultural diversity, economies of scale and scope in government, and trade-reducing border effects. It will show they explain increasing country size in the 19th century; the rise and fall of colonial empires; and the recent emergence of regional and global economic unions, accompanied by a peaceful increase in the number of countries.
Max ERC Funding
960 000 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym COMFUS
Project Computational Methods for Fusion Technology
Researcher (PI) Santiago Ignacio Badia Rodríguez
Host Institution (HI) CENTRE INTERNACIONAL DE METODES NUMERICS EN ENGINYERIA
Call Details Starting Grant (StG), PE8, ERC-2010-StG_20091028
Summary The simulation of multidisciplinary applications use very often a combination of heterogeneous and disjoint numerical techniques that are hard to put together by the user, and whose mathematical foundation is obscure. An example of this situation is the numerical modeling of the physical processes taking place in nuclear fusion reactors. This problem, which can be modeled by a set of partial differential equations, is extremely challenging. It involves (essentially) fluid mechanics, electromagnetics, thermal radiation and neutronics. The most common numerical approaches to each of these problems separately are very different and their coupling is a hard and inefficient task.
Our main objective in this proposal is to develop and analyze a unified numerical framework based on stabilized finite element methods based on multi-scale decompositions capable to simulate all the physical processes taking place in nuclear fusion technology. The project aims at giving a substantial contribution to the numerical approximation of every physical process as well as efficient coupling techniques for the multiphysics problems.
The development of the numerical formulations we propose and their application require mastering different physics, designing numerical approximations for these different physical problems, analyzing mathematically the resulting methods, implementing them in an efficient way in parallel platforms and understanding the results and drawing conclusions, both from a physical and from an engineering perspective. Advanced research in physical modeling, numerical approximations, mathematical analysis and computer implementation are the keys to meeting these objectives.
The successful implementation of the project will provide advanced numerical techniques for the simulation of the processes taking place in a fusion reactor. A deliverable product of the project will be a unified finite element software package that will be an extremely valuable tool.
Summary
The simulation of multidisciplinary applications use very often a combination of heterogeneous and disjoint numerical techniques that are hard to put together by the user, and whose mathematical foundation is obscure. An example of this situation is the numerical modeling of the physical processes taking place in nuclear fusion reactors. This problem, which can be modeled by a set of partial differential equations, is extremely challenging. It involves (essentially) fluid mechanics, electromagnetics, thermal radiation and neutronics. The most common numerical approaches to each of these problems separately are very different and their coupling is a hard and inefficient task.
Our main objective in this proposal is to develop and analyze a unified numerical framework based on stabilized finite element methods based on multi-scale decompositions capable to simulate all the physical processes taking place in nuclear fusion technology. The project aims at giving a substantial contribution to the numerical approximation of every physical process as well as efficient coupling techniques for the multiphysics problems.
The development of the numerical formulations we propose and their application require mastering different physics, designing numerical approximations for these different physical problems, analyzing mathematically the resulting methods, implementing them in an efficient way in parallel platforms and understanding the results and drawing conclusions, both from a physical and from an engineering perspective. Advanced research in physical modeling, numerical approximations, mathematical analysis and computer implementation are the keys to meeting these objectives.
The successful implementation of the project will provide advanced numerical techniques for the simulation of the processes taking place in a fusion reactor. A deliverable product of the project will be a unified finite element software package that will be an extremely valuable tool.
Max ERC Funding
1 320 000 €
Duration
Start date: 2011-01-01, End date: 2015-12-31
Project acronym CompSCHoice
Project A Comprehensive Approach to School Choice and Education
Researcher (PI) Caterina Calsamiglia Costa
Host Institution (HI) INSTITUTE OF POLITICAL ECONOMY AND GOVERNANCE
Call Details Starting Grant (StG), SH1, ERC-2014-STG
Summary School choice is one of the most hotly debated policies in education. Advocates argue that school choice allows equal access to high quality schooling for all. High-income families have always had more choice, either through residential choice or through enrolment in private schools. Therefore increased choice should also improve equity by allowing minority and low-income students to choose too. On the other hand, school choice critics suggest that school choice can increase sorting between schools based on their socio-economics status, suggesting high-income families benefit more from these policies.
Three different and disconnected literatures in economics provide different and often contradicting answers to these questions. We propose a unified theoretical framework that merges these three literatures and allows for a comprehensive analysis on school choice design and its impact on actual choice, outcomes and segregation in schools and neighborhoods. Unique and newly constructed data sets are used to address novel empirical challenges. The data constructed for Barcelona shall become one of the largest and most comprehensive data sets not only on school choice but also on public education worldwide.
Using the data set from Barcelona we 1) estimate families’ preferences and, for the first time, evaluate the efficiency of different mechanism through structural estimation of our model and counterfactual analysis. We then 2) evaluate the impact that peer effects have on parents' choice and on outcomes. Exploiting the occurrence of hurricane Katrina in New Orleans and the aid programs implemented we aim at 3) estimating the distribution of willingness to pay for quality schools for families with different socio-economics. And last we exploit a policy change in Catalunya in 2009 to 4) provide evidence on how increased flexibility of the school system to adapt for differential maturity levels affects individual short and medium-term outcomes.
Summary
School choice is one of the most hotly debated policies in education. Advocates argue that school choice allows equal access to high quality schooling for all. High-income families have always had more choice, either through residential choice or through enrolment in private schools. Therefore increased choice should also improve equity by allowing minority and low-income students to choose too. On the other hand, school choice critics suggest that school choice can increase sorting between schools based on their socio-economics status, suggesting high-income families benefit more from these policies.
Three different and disconnected literatures in economics provide different and often contradicting answers to these questions. We propose a unified theoretical framework that merges these three literatures and allows for a comprehensive analysis on school choice design and its impact on actual choice, outcomes and segregation in schools and neighborhoods. Unique and newly constructed data sets are used to address novel empirical challenges. The data constructed for Barcelona shall become one of the largest and most comprehensive data sets not only on school choice but also on public education worldwide.
Using the data set from Barcelona we 1) estimate families’ preferences and, for the first time, evaluate the efficiency of different mechanism through structural estimation of our model and counterfactual analysis. We then 2) evaluate the impact that peer effects have on parents' choice and on outcomes. Exploiting the occurrence of hurricane Katrina in New Orleans and the aid programs implemented we aim at 3) estimating the distribution of willingness to pay for quality schools for families with different socio-economics. And last we exploit a policy change in Catalunya in 2009 to 4) provide evidence on how increased flexibility of the school system to adapt for differential maturity levels affects individual short and medium-term outcomes.
Max ERC Funding
1 207 500 €
Duration
Start date: 2015-08-01, End date: 2020-07-31
Project acronym DAMOC
Project Diabetes Approach by Multi-Organ-on-a-Chip
Researcher (PI) Javier RAMON
Host Institution (HI) FUNDACIO INSTITUT DE BIOENGINYERIA DE CATALUNYA
Call Details Starting Grant (StG), PE8, ERC-2016-STG
Summary Insulin secretion and insulin action are critical for normal glucose homeostasis. Defects in both of these processes lead to type 2 diabetes (T2D). Unravelling the mechanisms that lead to T2D is fundamental in the search of new molecular drugs to prevent and control this disease. Organ-on-a-chip devices offer new approaches for T2D disease modelling and drug discovery by providing biologically relevant models of tissues and organs in vitro integrated with biosensors. As such, organ-on-a-chip devices have the potential to revolutionize the pharmaceutical industry by enabling reliable and high predictive in vitro testing of drug candidates. The capability to miniaturize biosensor systems and advanced tissue fabrication procedures have enabled researchers to create multiple tissues on a chip with a high degree of control over experimental variables for high-content screening applications. The goal of this project is the fabrication of a biomimetic multi organ-on-a-chip integrated device composed of skeletal muscle and pancreatic islets for studying metabolism glucose diseases and for drug screening applications. Engineered muscle tissues and pancreatic islets are integrated with the technology to detect the glucose consumption, contraction induced glucose metabolism, insulin secretion and protein biomarker secretion of cells. We aim to design a novel therapeutic tool to test drugs with a multi organ-on-a-chip device. Such finding would improve drug test approaches and would provide for new therapies to prevent the loss of beta cell mass associated with T2D and defects in the glucose uptake in skeletal muscle.
Summary
Insulin secretion and insulin action are critical for normal glucose homeostasis. Defects in both of these processes lead to type 2 diabetes (T2D). Unravelling the mechanisms that lead to T2D is fundamental in the search of new molecular drugs to prevent and control this disease. Organ-on-a-chip devices offer new approaches for T2D disease modelling and drug discovery by providing biologically relevant models of tissues and organs in vitro integrated with biosensors. As such, organ-on-a-chip devices have the potential to revolutionize the pharmaceutical industry by enabling reliable and high predictive in vitro testing of drug candidates. The capability to miniaturize biosensor systems and advanced tissue fabrication procedures have enabled researchers to create multiple tissues on a chip with a high degree of control over experimental variables for high-content screening applications. The goal of this project is the fabrication of a biomimetic multi organ-on-a-chip integrated device composed of skeletal muscle and pancreatic islets for studying metabolism glucose diseases and for drug screening applications. Engineered muscle tissues and pancreatic islets are integrated with the technology to detect the glucose consumption, contraction induced glucose metabolism, insulin secretion and protein biomarker secretion of cells. We aim to design a novel therapeutic tool to test drugs with a multi organ-on-a-chip device. Such finding would improve drug test approaches and would provide for new therapies to prevent the loss of beta cell mass associated with T2D and defects in the glucose uptake in skeletal muscle.
Max ERC Funding
1 499 554 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym DYMOLAMO
Project Dynamic Modeling of Labor Market Mobility and Human Capital Accumulation
Researcher (PI) Joan LLULL CABRER
Host Institution (HI) FUNDACIÓ MARKETS, ORGANIZATIONS AND VOTES IN ECONOMICS
Call Details Starting Grant (StG), SH1, ERC-2018-STG
Summary In today’s globalized world, labor mobility is at the core of the political debate and a centerpiece for economic policy. The design of migration policies, such as selective, skill-biased, immigration policies, policies to encourage the integration of immigrants, or ones that facilitate geographical mobility to increase labor market opportunities of disadvantaged workers, requires a good understanding of a more fundamental issue: understanding the role of internal migration and immigration in shaping the career paths and human capital accumulation of workers. This project aims at providing a coherent analysis that allows us to understand the interactions between labor mobility and human capital accumulation, and their implications for economic policy design.
This project focuses on three main issues: labor mobility, labor market effects of immigration, and the interaction between the two. Our questions are: (a) What are the role of temporary and permanent contracts in shaping career paths and geographic mobility of workers? (b) Does the forgone human capital accumulation during a recession produce a lost generation? Is this alleviated by geographical mobility? (c) What is the role of geographical and occupational mobility in spreading or containing the effects of technological progress on wage inequality? (d) To what extent selective immigration policies maximize native workers’ prospects and wellbeing? (e) How can we increase degree of assimilation of immigrants?
To address these questions, we will develop dynamic equilibrium models that explicitly characterize human capital accumulation decisions of workers and how these decisions interact with migration. Our proposed models will introduce rich labor market structures and a variety of economic shocks. They will require the implementation of novel estimation methods, which we will also develop. The estimated models will be used to evaluate and design key economic policies for the labor market.
Summary
In today’s globalized world, labor mobility is at the core of the political debate and a centerpiece for economic policy. The design of migration policies, such as selective, skill-biased, immigration policies, policies to encourage the integration of immigrants, or ones that facilitate geographical mobility to increase labor market opportunities of disadvantaged workers, requires a good understanding of a more fundamental issue: understanding the role of internal migration and immigration in shaping the career paths and human capital accumulation of workers. This project aims at providing a coherent analysis that allows us to understand the interactions between labor mobility and human capital accumulation, and their implications for economic policy design.
This project focuses on three main issues: labor mobility, labor market effects of immigration, and the interaction between the two. Our questions are: (a) What are the role of temporary and permanent contracts in shaping career paths and geographic mobility of workers? (b) Does the forgone human capital accumulation during a recession produce a lost generation? Is this alleviated by geographical mobility? (c) What is the role of geographical and occupational mobility in spreading or containing the effects of technological progress on wage inequality? (d) To what extent selective immigration policies maximize native workers’ prospects and wellbeing? (e) How can we increase degree of assimilation of immigrants?
To address these questions, we will develop dynamic equilibrium models that explicitly characterize human capital accumulation decisions of workers and how these decisions interact with migration. Our proposed models will introduce rich labor market structures and a variety of economic shocks. They will require the implementation of novel estimation methods, which we will also develop. The estimated models will be used to evaluate and design key economic policies for the labor market.
Max ERC Funding
1 400 250 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym EDSGEL
Project Likelihood-based estimation of non-linear and non-normal DSGE models
Researcher (PI) Juan Francisco Rubio-Ramirez
Host Institution (HI) FUNDACION CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS
Call Details Starting Grant (StG), SH1, ERC-2009-StG
Summary DSGE models are the standard tool of quantitative macroeconomics. We use them to measure economics phenomena and to provide policy advice. However, since Kydland and Prescott s 1982, the profession has fought about how to take these models to the data. Kydland and Prescott proposed to calibrate their model. Why? Macroeconomists could not compute their models efficiently. Moreover, the techniques required for estimating DSGE models using the likelihood did not exist. Finally, models were ranked very badly by likelihood ratio tests. Calibration offered a temporary solution. By focusing only on a very limited set of moments of the model, researchers could claim partial success and keep developing their theory. The landscape changed in the 1990s. There were developments along three fronts. First, macroeconomists learned how to efficiently compute equilibrium models with rich dynamics. Second, statisticians developed simulation techniques like Markov chain Monte Carlo (MCMC), which we require to estimate DSGE models. Third, and perhaps most important, computer power has become so cheap that we can now do things that were unthinkable 20 years ago. This proposal tries to estimate non-linear and/or non-normal DSGE models using a likelihood approach. Why non-linear models? Previous research has proved that second order approximation errors in the policy function have first order effects on the likelihood function. Why non-normal models? Time-varying volatility is key to understanding the Great Moderation. Kim and Nelson (1999), McConnell and Pérez-Quirós (2000), and Stock and Watson (2002) have documented a decline in the variance of output growth since the mid 1980s. Only DSGE models with richer structure than normal innovations can account for this.
Summary
DSGE models are the standard tool of quantitative macroeconomics. We use them to measure economics phenomena and to provide policy advice. However, since Kydland and Prescott s 1982, the profession has fought about how to take these models to the data. Kydland and Prescott proposed to calibrate their model. Why? Macroeconomists could not compute their models efficiently. Moreover, the techniques required for estimating DSGE models using the likelihood did not exist. Finally, models were ranked very badly by likelihood ratio tests. Calibration offered a temporary solution. By focusing only on a very limited set of moments of the model, researchers could claim partial success and keep developing their theory. The landscape changed in the 1990s. There were developments along three fronts. First, macroeconomists learned how to efficiently compute equilibrium models with rich dynamics. Second, statisticians developed simulation techniques like Markov chain Monte Carlo (MCMC), which we require to estimate DSGE models. Third, and perhaps most important, computer power has become so cheap that we can now do things that were unthinkable 20 years ago. This proposal tries to estimate non-linear and/or non-normal DSGE models using a likelihood approach. Why non-linear models? Previous research has proved that second order approximation errors in the policy function have first order effects on the likelihood function. Why non-normal models? Time-varying volatility is key to understanding the Great Moderation. Kim and Nelson (1999), McConnell and Pérez-Quirós (2000), and Stock and Watson (2002) have documented a decline in the variance of output growth since the mid 1980s. Only DSGE models with richer structure than normal innovations can account for this.
Max ERC Funding
909 942 €
Duration
Start date: 2010-07-01, End date: 2015-06-30