Project acronym 3DNANOMECH
Project Three-dimensional molecular resolution mapping of soft matter-liquid interfaces
Researcher (PI) Ricardo Garcia
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Country Spain
Call Details Advanced Grant (AdG), PE4, ERC-2013-ADG
Summary Optical, electron and probe microscopes are enabling tools for discoveries and knowledge generation in nanoscale sicence and technology. High resolution –nanoscale or molecular-, noninvasive and label-free imaging of three-dimensional soft matter-liquid interfaces has not been achieved by any microscopy method.
Force microscopy (AFM) is considered the second most relevant advance in materials science since 1960. Despite its impressive range of applications, the technique has some key limitations. Force microscopy has not three dimensional depth. What lies above or in the subsurface is not readily characterized.
3DNanoMech proposes to design, build and operate a high speed force-based method for the three-dimensional characterization soft matter-liquid interfaces (3D AFM). The microscope will combine a detection method based on force perturbations, adaptive algorithms, high speed piezo actuators and quantitative-oriented multifrequency approaches. The development of the microscope cannot be separated from its applications: imaging the error-free DNA repair and to understand the relationship existing between the nanomechanical properties and the malignancy of cancer cells. Those problems encompass the different spatial –molecular-nano-mesoscopic- and time –milli to seconds- scales of the instrument.
In short, 3DNanoMech aims to image, map and measure with picoNewton, millisecond and angstrom resolution soft matter surfaces and interfaces in liquid. The long-term vision of 3DNanoMech is to replace models or computer animations of bimolecular-liquid interfaces by real time, molecular resolution maps of properties and processes.
Summary
Optical, electron and probe microscopes are enabling tools for discoveries and knowledge generation in nanoscale sicence and technology. High resolution –nanoscale or molecular-, noninvasive and label-free imaging of three-dimensional soft matter-liquid interfaces has not been achieved by any microscopy method.
Force microscopy (AFM) is considered the second most relevant advance in materials science since 1960. Despite its impressive range of applications, the technique has some key limitations. Force microscopy has not three dimensional depth. What lies above or in the subsurface is not readily characterized.
3DNanoMech proposes to design, build and operate a high speed force-based method for the three-dimensional characterization soft matter-liquid interfaces (3D AFM). The microscope will combine a detection method based on force perturbations, adaptive algorithms, high speed piezo actuators and quantitative-oriented multifrequency approaches. The development of the microscope cannot be separated from its applications: imaging the error-free DNA repair and to understand the relationship existing between the nanomechanical properties and the malignancy of cancer cells. Those problems encompass the different spatial –molecular-nano-mesoscopic- and time –milli to seconds- scales of the instrument.
In short, 3DNanoMech aims to image, map and measure with picoNewton, millisecond and angstrom resolution soft matter surfaces and interfaces in liquid. The long-term vision of 3DNanoMech is to replace models or computer animations of bimolecular-liquid interfaces by real time, molecular resolution maps of properties and processes.
Max ERC Funding
2 499 928 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym 5COFM
Project Five Centuries of Marriages
Researcher (PI) Anna Cabre
Host Institution (HI) UNIVERSIDAD AUTONOMA DE BARCELONA
Country Spain
Call Details Advanced Grant (AdG), SH6, ERC-2010-AdG_20100407
Summary This long-term research project is based on the data-mining of the Llibres d'Esposalles conserved at the Archives of the Barcelona Cathedral, an extraordinary data source comprising 244 books of marriage licenses records. It covers about 550.000 unions from over 250 parishes of the Diocese between 1451 and 1905. Its impeccable conservation is a miracle in a region where parish archives have undergone massive destruction. The books include data on the tax posed on each couple depending on their social class, on an eight-tiered scale. These data allow for research on multiple aspects of demographic research, especially on the very long run, such as: population estimates, marriage dynamics, cycles, and indirect estimations for fertility, migration and survival, as well as socio-economic studies related to social homogamy, social mobility, and transmission of social and occupational position. Being continuous over five centuries, the source constitutes a unique instrument to study the dynamics of population distribution, the expansion of the city of Barcelona and the constitution of its metropolitan area, as well as the chronology and the geography in the constitution of new social classes.
To this end, a digital library and a database, the Barcelona Historical Marriages Database (BHiMaD), are to be created and completed. An ERC-AG will help doing so while undertaking the research analysis of the database in parallel.
The research team, at the U. Autònoma de Barcelona, involves researchers from the Center for Demo-graphic Studies and the Computer Vision Center experts in historical databases and computer-aided recognition of ancient manuscripts. 5CofM will serve the preservation of the original “Llibres d’Esposalles” and unlock the full potential embedded in the collection.
Summary
This long-term research project is based on the data-mining of the Llibres d'Esposalles conserved at the Archives of the Barcelona Cathedral, an extraordinary data source comprising 244 books of marriage licenses records. It covers about 550.000 unions from over 250 parishes of the Diocese between 1451 and 1905. Its impeccable conservation is a miracle in a region where parish archives have undergone massive destruction. The books include data on the tax posed on each couple depending on their social class, on an eight-tiered scale. These data allow for research on multiple aspects of demographic research, especially on the very long run, such as: population estimates, marriage dynamics, cycles, and indirect estimations for fertility, migration and survival, as well as socio-economic studies related to social homogamy, social mobility, and transmission of social and occupational position. Being continuous over five centuries, the source constitutes a unique instrument to study the dynamics of population distribution, the expansion of the city of Barcelona and the constitution of its metropolitan area, as well as the chronology and the geography in the constitution of new social classes.
To this end, a digital library and a database, the Barcelona Historical Marriages Database (BHiMaD), are to be created and completed. An ERC-AG will help doing so while undertaking the research analysis of the database in parallel.
The research team, at the U. Autònoma de Barcelona, involves researchers from the Center for Demo-graphic Studies and the Computer Vision Center experts in historical databases and computer-aided recognition of ancient manuscripts. 5CofM will serve the preservation of the original “Llibres d’Esposalles” and unlock the full potential embedded in the collection.
Max ERC Funding
1 847 400 €
Duration
Start date: 2011-05-01, End date: 2016-04-30
Project acronym ABEP
Project Asset Bubbles and Economic Policy
Researcher (PI) Jaume Ventura Fontanet
Host Institution (HI) Centre de Recerca en Economia Internacional (CREI)
Country Spain
Call Details Advanced Grant (AdG), SH1, ERC-2009-AdG
Summary Advanced capitalist economies experience large and persistent movements in asset prices that are difficult to justify with economic fundamentals. The internet bubble of the 1990s and the real state market bubble of the 2000s are two recent examples. The predominant view is that these bubbles are a market failure, and are caused by some form of individual irrationality on the part of market participants. This project is based instead on the view that market participants are individually rational, although this does not preclude sometimes collectively sub-optimal outcomes. Bubbles are thus not a source of market failure by themselves but instead arise as a result of a pre-existing market failure, namely, the existence of pockets of dynamically inefficient investments. Under some conditions, bubbles partly solve this problem, increasing market efficiency and welfare. It is also possible however that bubbles do not solve the underlying problem and, in addition, create negative side-effects. The main objective of this project is to develop this view of asset bubbles, and produce an empirically-relevant macroeconomic framework that allows us to address the following questions: (i) What is the relationship between bubbles and financial market frictions? Special emphasis is given to how the globalization of financial markets and the development of new financial products affect the size and effects of bubbles. (ii) What is the relationship between bubbles, economic growth and unemployment? The theory suggests the presence of virtuous and vicious cycles, as economic growth creates the conditions for bubbles to pop up, while bubbles create incentives for economic growth to happen. (iii) What is the optimal policy to manage bubbles? We need to develop the tools that allow policy makers to sustain those bubbles that have positive effects and burst those that have negative effects.
Summary
Advanced capitalist economies experience large and persistent movements in asset prices that are difficult to justify with economic fundamentals. The internet bubble of the 1990s and the real state market bubble of the 2000s are two recent examples. The predominant view is that these bubbles are a market failure, and are caused by some form of individual irrationality on the part of market participants. This project is based instead on the view that market participants are individually rational, although this does not preclude sometimes collectively sub-optimal outcomes. Bubbles are thus not a source of market failure by themselves but instead arise as a result of a pre-existing market failure, namely, the existence of pockets of dynamically inefficient investments. Under some conditions, bubbles partly solve this problem, increasing market efficiency and welfare. It is also possible however that bubbles do not solve the underlying problem and, in addition, create negative side-effects. The main objective of this project is to develop this view of asset bubbles, and produce an empirically-relevant macroeconomic framework that allows us to address the following questions: (i) What is the relationship between bubbles and financial market frictions? Special emphasis is given to how the globalization of financial markets and the development of new financial products affect the size and effects of bubbles. (ii) What is the relationship between bubbles, economic growth and unemployment? The theory suggests the presence of virtuous and vicious cycles, as economic growth creates the conditions for bubbles to pop up, while bubbles create incentives for economic growth to happen. (iii) What is the optimal policy to manage bubbles? We need to develop the tools that allow policy makers to sustain those bubbles that have positive effects and burst those that have negative effects.
Max ERC Funding
1 000 000 €
Duration
Start date: 2010-04-01, End date: 2015-03-31
Project acronym AGRIWESTMED
Project Origins and spread of agriculture in the south-western Mediterranean region
Researcher (PI) Maria Leonor Pena Chocarro
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Country Spain
Call Details Advanced Grant (AdG), SH6, ERC-2008-AdG
Summary This project focuses on one of the most fascinating events of the long history of the human species: the origins and spread of agriculture. Research over the past 40 years has provided an invaluable dataset on crop domestication and the spread of agriculture into Europe. However, despite the enormous advances in research there are important areas that remain almost unexplored, some of immense interest. This is the case of the western Mediterranean region from where our knowledge is still limited (Iberian Peninsula) or almost inexistent (northern Morocco). The last few years have witnessed a considerable increase in archaeobotany and the effort of a group of Spanish researchers working together in different aspects of agriculture has started to produce the first results. My proposal will approach the study of the arrival of agriculture to the western Mediterranean by exploring different interrelated research areas. The project involves the
application of different techniques (analysis of charred plant remains, pollen and non-pollen microfossils, phytoliths, micro-wear analyses, isotopes, soil micromorphology, genetics, and ethnoarchaeology) which will help to define the emergence and spread of agriculture in the area, its likely place of origin, its main technological attributes as well as the range crop husbandry practices carried out. The interaction between the different approaches and the methodologies involved will allow achieving a greater understanding of the type of agriculture that characterized the first farming communities in the most south-western part of Europe.
Summary
This project focuses on one of the most fascinating events of the long history of the human species: the origins and spread of agriculture. Research over the past 40 years has provided an invaluable dataset on crop domestication and the spread of agriculture into Europe. However, despite the enormous advances in research there are important areas that remain almost unexplored, some of immense interest. This is the case of the western Mediterranean region from where our knowledge is still limited (Iberian Peninsula) or almost inexistent (northern Morocco). The last few years have witnessed a considerable increase in archaeobotany and the effort of a group of Spanish researchers working together in different aspects of agriculture has started to produce the first results. My proposal will approach the study of the arrival of agriculture to the western Mediterranean by exploring different interrelated research areas. The project involves the
application of different techniques (analysis of charred plant remains, pollen and non-pollen microfossils, phytoliths, micro-wear analyses, isotopes, soil micromorphology, genetics, and ethnoarchaeology) which will help to define the emergence and spread of agriculture in the area, its likely place of origin, its main technological attributes as well as the range crop husbandry practices carried out. The interaction between the different approaches and the methodologies involved will allow achieving a greater understanding of the type of agriculture that characterized the first farming communities in the most south-western part of Europe.
Max ERC Funding
1 545 169 €
Duration
Start date: 2009-04-01, End date: 2013-03-31
Project acronym APMPAL
Project Asset Prices and Macro Policy when Agents Learn
Researcher (PI) Albert Marcet Torrens
Host Institution (HI) FUNDACIÓ MARKETS, ORGANIZATIONS AND VOTES IN ECONOMICS
Country Spain
Call Details Advanced Grant (AdG), SH1, ERC-2012-ADG_20120411
Summary "A conventional assumption in dynamic models is that agents form their expectations in a very sophisticated manner. In particular, that they have Rational Expectations (RE). We develop some tools to relax this assumption while retaining fully optimal behaviour by agents. We study implications for asset pricing and macro policy.
We assume that agents have a consistent set of beliefs that is close, but not equal, to RE. Agents are ""Internally Rational"", that is, they behave rationally given their system of beliefs. Thus, it is conceptually a small deviation from RE. It provides microfoundations for models of adaptive learning, since the learning algorithm is determined by agents’ optimal behaviour. In previous work we have shown that this framework can match stock price and housing price fluctuations, and that policy implications are quite different.
In this project we intend to: i) develop further the foundations of internally rational (IR) learning, ii) apply this to explain observed asset price price behavior, such as stock prices, bond prices, inflation, commodity derivatives, and exchange rates, iii) extend the IR framework to the case when agents entertain various models, iv) optimal policy under IR learning and under private information when some hidden shocks are not revealed ex-post. Along the way we will address policy issues such as: effects of creating derivative markets, sovereign spread as a signal of sovereign default risk, tests of fiscal sustainability, fiscal policy when agents learn, monetary policy (more specifically, QE measures and interest rate policy), and the role of credibility in macro policy."
Summary
"A conventional assumption in dynamic models is that agents form their expectations in a very sophisticated manner. In particular, that they have Rational Expectations (RE). We develop some tools to relax this assumption while retaining fully optimal behaviour by agents. We study implications for asset pricing and macro policy.
We assume that agents have a consistent set of beliefs that is close, but not equal, to RE. Agents are ""Internally Rational"", that is, they behave rationally given their system of beliefs. Thus, it is conceptually a small deviation from RE. It provides microfoundations for models of adaptive learning, since the learning algorithm is determined by agents’ optimal behaviour. In previous work we have shown that this framework can match stock price and housing price fluctuations, and that policy implications are quite different.
In this project we intend to: i) develop further the foundations of internally rational (IR) learning, ii) apply this to explain observed asset price price behavior, such as stock prices, bond prices, inflation, commodity derivatives, and exchange rates, iii) extend the IR framework to the case when agents entertain various models, iv) optimal policy under IR learning and under private information when some hidden shocks are not revealed ex-post. Along the way we will address policy issues such as: effects of creating derivative markets, sovereign spread as a signal of sovereign default risk, tests of fiscal sustainability, fiscal policy when agents learn, monetary policy (more specifically, QE measures and interest rate policy), and the role of credibility in macro policy."
Max ERC Funding
1 970 260 €
Duration
Start date: 2013-06-01, End date: 2018-08-31
Project acronym APMPAL-HET
Project Asset Prices and Macro Policy when Agents Learn and are Heterogeneous
Researcher (PI) Albert MARCET TORRENS
Host Institution (HI) FUNDACIÓ MARKETS, ORGANIZATIONS AND VOTES IN ECONOMICS
Country Spain
Call Details Advanced Grant (AdG), SH1, ERC-2017-ADG
Summary Based on the APMPAL (ERC) project we continue to develop the frameworks of internal rationality (IR) and optimal signal extraction (OSE). Under IR investors/consumers behave rationally given their subjective beliefs about prices, these beliefs are compatible with data. Under OSE the government has partial information, it knows how policy influences observed variables and signal extraction.
We develop further the foundations of IR and OSE with an emphasis on heterogeneous agents. We study sovereign bond crisis and heterogeneity of beliefs in asset pricing models under IR, using survey data on expectations. Under IR the assets’ stochastic discount factor depends on the agents’ decision function and beliefs; this modifies some key asset pricing results. We extend OSE to models with state variables, forward-looking constraints and heterogeneity.
Under IR agents’ prior beliefs determine the effects of a policy reform. If the government does not observe prior beliefs it has partial information, thus OSE should be used to analyse policy reforms under IR.
If IR heterogeneous workers forecast their productivity either from their own wage or their neighbours’ in a network, low current wages discourage search and human capital accumulation, leading to low productivity. This can explain low development of a country or social exclusion of a group. Worker subsidies redistribute wealth and can increase productivity if they “teach” agents to exit a low-wage state.
We build DSGE models under IR for prediction and policy analysis. We develop time-series tools for predicting macro and asset market variables, using information available to the analyst, and we introduce non-linearities and survey expectations using insights from models under IR.
We study how IR and OSE change the view on macro policy issues such as tax smoothing, debt management, Taylor rule, level of inflation, fiscal/monetary policy coordination, factor taxation or redistribution.
Summary
Based on the APMPAL (ERC) project we continue to develop the frameworks of internal rationality (IR) and optimal signal extraction (OSE). Under IR investors/consumers behave rationally given their subjective beliefs about prices, these beliefs are compatible with data. Under OSE the government has partial information, it knows how policy influences observed variables and signal extraction.
We develop further the foundations of IR and OSE with an emphasis on heterogeneous agents. We study sovereign bond crisis and heterogeneity of beliefs in asset pricing models under IR, using survey data on expectations. Under IR the assets’ stochastic discount factor depends on the agents’ decision function and beliefs; this modifies some key asset pricing results. We extend OSE to models with state variables, forward-looking constraints and heterogeneity.
Under IR agents’ prior beliefs determine the effects of a policy reform. If the government does not observe prior beliefs it has partial information, thus OSE should be used to analyse policy reforms under IR.
If IR heterogeneous workers forecast their productivity either from their own wage or their neighbours’ in a network, low current wages discourage search and human capital accumulation, leading to low productivity. This can explain low development of a country or social exclusion of a group. Worker subsidies redistribute wealth and can increase productivity if they “teach” agents to exit a low-wage state.
We build DSGE models under IR for prediction and policy analysis. We develop time-series tools for predicting macro and asset market variables, using information available to the analyst, and we introduce non-linearities and survey expectations using insights from models under IR.
We study how IR and OSE change the view on macro policy issues such as tax smoothing, debt management, Taylor rule, level of inflation, fiscal/monetary policy coordination, factor taxation or redistribution.
Max ERC Funding
1 524 144 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym ARTSOUNDSCAPES
Project The sound of special places: exploring rock art soundscapes and the sacred
Researcher (PI) A. Margarita DIAZ-ANDREU
Host Institution (HI) UNIVERSITAT DE BARCELONA
Country Spain
Call Details Advanced Grant (AdG), SH6, ERC-2017-ADG
Summary The ARTSOUNDSCAPES project deals with sound, rock art and sacred landscapes among past hunter-gatherers and early agricultural societies around the world. The potential of sound to stimulate powerful emotions makes it a common medium for conferring places with extraordinary agency. Ethnographic and ethnohistorical sources indicate that these sites are often endowed with a sacred significance and, in many cases, they also receive special treatment, including the production of rock paintings. Despite the aural experience being an integral component of the human condition and a key element in ritual, archaeology has largely been unable to study it systematically. Rock art landscapes are no exception and, although some studies have been made, they have largely been reproached for their lack of scientific rigour and subjectivity. ARTSOUNDSCAPES will fully address this weakness by investigating the perception of sound in rock art landscapes from an interdisciplinary approach. Borrowing methods developed in acoustic engineering, the project will assess, from an objective and quantitative perspective, the acoustic properties of rock art landscapes in selected areas around the world: the Western/Central Mediterranean in Europe, Siberia in Asia, and Baja California in North America. Human experiences associated with altered or mystical states invoked by the identified special sonic characteristics of these landscapes will be further tested by exploring the psychoacoustic effects these soundscapes have on people and their neural correlate to brain activity. The project will also thoroughly survey ethnographic attitudes to sacred soundscapes based on both current premodern societies and ethnohistorical sources. The groundbreaking combination of this array of interdisciplinary approaches will facilitate the ultimate aim of the project: to propose a phenomenological understanding of sacred soundscapes among late hunter-gatherers and early agriculturalists around the world.
Summary
The ARTSOUNDSCAPES project deals with sound, rock art and sacred landscapes among past hunter-gatherers and early agricultural societies around the world. The potential of sound to stimulate powerful emotions makes it a common medium for conferring places with extraordinary agency. Ethnographic and ethnohistorical sources indicate that these sites are often endowed with a sacred significance and, in many cases, they also receive special treatment, including the production of rock paintings. Despite the aural experience being an integral component of the human condition and a key element in ritual, archaeology has largely been unable to study it systematically. Rock art landscapes are no exception and, although some studies have been made, they have largely been reproached for their lack of scientific rigour and subjectivity. ARTSOUNDSCAPES will fully address this weakness by investigating the perception of sound in rock art landscapes from an interdisciplinary approach. Borrowing methods developed in acoustic engineering, the project will assess, from an objective and quantitative perspective, the acoustic properties of rock art landscapes in selected areas around the world: the Western/Central Mediterranean in Europe, Siberia in Asia, and Baja California in North America. Human experiences associated with altered or mystical states invoked by the identified special sonic characteristics of these landscapes will be further tested by exploring the psychoacoustic effects these soundscapes have on people and their neural correlate to brain activity. The project will also thoroughly survey ethnographic attitudes to sacred soundscapes based on both current premodern societies and ethnohistorical sources. The groundbreaking combination of this array of interdisciplinary approaches will facilitate the ultimate aim of the project: to propose a phenomenological understanding of sacred soundscapes among late hunter-gatherers and early agriculturalists around the world.
Max ERC Funding
2 239 375 €
Duration
Start date: 2018-10-01, End date: 2024-09-30
Project acronym ATM-GTP
Project Atmospheric Gas-to-Particle conversion
Researcher (PI) Markku KULMALA
Host Institution (HI) HELSINGIN YLIOPISTO
Country Finland
Call Details Advanced Grant (AdG), PE10, ERC-2016-ADG
Summary Atmospheric Gas-to-Particle conversion (ATM-GTP) is a 5-year project focusing on one of the most critical atmospheric processes relevant to global climate and air quality: the first steps of atmospheric aerosol particle formation and growth. The project will concentrate on the currently lacking environmentally-specific knowledge about the interacting, non-linear, physical and chemical atmospheric processes associated with nano-scale gas-to-particle conversion (GTP). The main scientific objective of ATM-GTP is to create a deep understanding on atmospheric GTP taking place at the sub-5 nm size range, particularly in heavily-polluted Chinese mega cities like Beijing and in pristine environments like Siberia and Nordic high-latitude regions. We also aim to find out how nano-GTM is associated with air quality-climate interactions and feedbacks. We are interested in quantifying the effect of nano-GTP on the COBACC (Continental Biosphere-Aerosol-Cloud-Climate) feedback loop that is important in Arctic and boreal regions. Our approach enables to point out the effective reduction mechanisms of the secondary air pollution by a factor of 5-10 and to make reliable estimates of the global and regional aerosol loads, including anthropogenic and biogenic contributions to these loads. We can estimate the future role of Northern Hemispheric biosphere in reducing the global radiative forcing via the quantified feedbacks. The project is carried out by the world-leading scientist in atmospheric aerosol science, being also one of the founders of terrestrial ecosystem meteorology, together with his research team. The project uses novel infrastructures including SMEAR (Stations Measuring Ecosystem Atmospheric Relations) stations, related modelling platforms and regional data from Russia and China. The work will be carried out in synergy with several national, Nordic and EU research-innovation projects: Finnish Center of Excellence-ATM, Nordic CoE-CRAICC and EU-FP7-BACCHUS.
Summary
Atmospheric Gas-to-Particle conversion (ATM-GTP) is a 5-year project focusing on one of the most critical atmospheric processes relevant to global climate and air quality: the first steps of atmospheric aerosol particle formation and growth. The project will concentrate on the currently lacking environmentally-specific knowledge about the interacting, non-linear, physical and chemical atmospheric processes associated with nano-scale gas-to-particle conversion (GTP). The main scientific objective of ATM-GTP is to create a deep understanding on atmospheric GTP taking place at the sub-5 nm size range, particularly in heavily-polluted Chinese mega cities like Beijing and in pristine environments like Siberia and Nordic high-latitude regions. We also aim to find out how nano-GTM is associated with air quality-climate interactions and feedbacks. We are interested in quantifying the effect of nano-GTP on the COBACC (Continental Biosphere-Aerosol-Cloud-Climate) feedback loop that is important in Arctic and boreal regions. Our approach enables to point out the effective reduction mechanisms of the secondary air pollution by a factor of 5-10 and to make reliable estimates of the global and regional aerosol loads, including anthropogenic and biogenic contributions to these loads. We can estimate the future role of Northern Hemispheric biosphere in reducing the global radiative forcing via the quantified feedbacks. The project is carried out by the world-leading scientist in atmospheric aerosol science, being also one of the founders of terrestrial ecosystem meteorology, together with his research team. The project uses novel infrastructures including SMEAR (Stations Measuring Ecosystem Atmospheric Relations) stations, related modelling platforms and regional data from Russia and China. The work will be carried out in synergy with several national, Nordic and EU research-innovation projects: Finnish Center of Excellence-ATM, Nordic CoE-CRAICC and EU-FP7-BACCHUS.
Max ERC Funding
2 500 000 €
Duration
Start date: 2017-06-01, End date: 2022-05-31
Project acronym ATMNUCLE
Project Atmospheric nucleation: from molecular to global scale
Researcher (PI) Markku Tapio Kulmala
Host Institution (HI) HELSINGIN YLIOPISTO
Country Finland
Call Details Advanced Grant (AdG), PE10, ERC-2008-AdG
Summary Atmospheric aerosol particles and trace gases affect the quality of our life in many ways (e.g. health effects, changes in climate and hydrological cycle). Trace gases and atmospheric aerosols are tightly connected via physical, chemical, meteorological and biological processes occurring in the atmosphere and at the atmosphere-biosphere interface. One important phenomenon is atmospheric aerosol formation, which involves the production of nanometer-size particles by nucleation and their growth to detectable sizes. The main scientific objectives of this project are 1) to quantify the mechanisms responsible for atmospheric new particle formation and 2) to find out how important this process is for the behaviour of the global aerosol system and, ultimately, for the whole climate system. Our scientific plan is designed as a research chain that aims to advance our understanding of climate and air quality through a series of connected activities. We start from molecular simulations and laboratory measurements to understand nucleation and aerosol thermodynamic processes. We measure nanoparticles and atmospheric clusters at 15-20 sites all around the world using state of the art instrumentation and study feedbacks and interactions between climate and biosphere. With these atmospheric boundary layer studies we form a link to regional-scale processes and further to global-scale phenomena. In order to be able to simulate global climate and air quality, the most recent progress on this chain of processes must be compiled, integrated and implemented in Climate Change and Air Quality numerical models via novel parameterizations.
Summary
Atmospheric aerosol particles and trace gases affect the quality of our life in many ways (e.g. health effects, changes in climate and hydrological cycle). Trace gases and atmospheric aerosols are tightly connected via physical, chemical, meteorological and biological processes occurring in the atmosphere and at the atmosphere-biosphere interface. One important phenomenon is atmospheric aerosol formation, which involves the production of nanometer-size particles by nucleation and their growth to detectable sizes. The main scientific objectives of this project are 1) to quantify the mechanisms responsible for atmospheric new particle formation and 2) to find out how important this process is for the behaviour of the global aerosol system and, ultimately, for the whole climate system. Our scientific plan is designed as a research chain that aims to advance our understanding of climate and air quality through a series of connected activities. We start from molecular simulations and laboratory measurements to understand nucleation and aerosol thermodynamic processes. We measure nanoparticles and atmospheric clusters at 15-20 sites all around the world using state of the art instrumentation and study feedbacks and interactions between climate and biosphere. With these atmospheric boundary layer studies we form a link to regional-scale processes and further to global-scale phenomena. In order to be able to simulate global climate and air quality, the most recent progress on this chain of processes must be compiled, integrated and implemented in Climate Change and Air Quality numerical models via novel parameterizations.
Max ERC Funding
2 000 000 €
Duration
Start date: 2009-01-01, End date: 2013-12-31
Project acronym BEMOTHER
Project Becoming a mother: An integrative model of adaptations for motherhood during pregnancy and the postpartum period.
Researcher (PI) Oscar VILARROYA
Host Institution (HI) UNIVERSIDAD AUTONOMA DE BARCELONA
Country Spain
Call Details Advanced Grant (AdG), SH4, ERC-2019-ADG
Summary Pregnancy involves biological adaptations that are necessary for the onset, maintenance and regulation of maternal behavior. We were the first group to find (1, 2) that pregnancy is associated with consistent, pronounced and long-lasting reductions in cerebral gray matter (GM) volume in areas of the social-cognition network. The aim of BEMOTHER is to develop an integrative model of the adaptations for motherhood that occur during pregnancy and the postpartum period by: i) establishing when the brain of pregnant women begins to change and how it evolves; ii) characterizing the dynamics of cognitive performance, theory-of-mind, maternal-infant bonding and psychiatric measures; iii) assessing the effect of environmental and/or psychological factors in the maternal adaptations, iv) identifying the metabolomics biomarkers associated with maternal adaptations, and v) integrating the previous findings within the Research Domain Criteria framework (RDoC) (3). We will use a prospective longitudinal design at 5 time points (1 pre-pregnancy session, 2 intra-pregnancy sessions and 2 postpartum sessions) during which neuroimaging, psychological, behavioral and metabolomics data will be acquired in 3 groups of women: a group of nulliparous women who will be undergoing a full-term pregnancy, another group of nulliparous women whose same-sex partners will undergo a full-term pregnancy, and a group of control nulliparous women. We will provide the longitudinal RDoC-based model at the end of the study, but we will also deliver intermediate longitudinal evaluations after the postpartum session, as well as cross-sectional analyses after the first intra-pregnancy session and the postpartum session. BEMOTHER is timely and innovative. It adopts the translational RDoC framework in order to provide a pioneering, comprehensive and dynamic characterization of the adaptations for motherhood, addressing the interaction among different functional domains at different levels of analysis.
Summary
Pregnancy involves biological adaptations that are necessary for the onset, maintenance and regulation of maternal behavior. We were the first group to find (1, 2) that pregnancy is associated with consistent, pronounced and long-lasting reductions in cerebral gray matter (GM) volume in areas of the social-cognition network. The aim of BEMOTHER is to develop an integrative model of the adaptations for motherhood that occur during pregnancy and the postpartum period by: i) establishing when the brain of pregnant women begins to change and how it evolves; ii) characterizing the dynamics of cognitive performance, theory-of-mind, maternal-infant bonding and psychiatric measures; iii) assessing the effect of environmental and/or psychological factors in the maternal adaptations, iv) identifying the metabolomics biomarkers associated with maternal adaptations, and v) integrating the previous findings within the Research Domain Criteria framework (RDoC) (3). We will use a prospective longitudinal design at 5 time points (1 pre-pregnancy session, 2 intra-pregnancy sessions and 2 postpartum sessions) during which neuroimaging, psychological, behavioral and metabolomics data will be acquired in 3 groups of women: a group of nulliparous women who will be undergoing a full-term pregnancy, another group of nulliparous women whose same-sex partners will undergo a full-term pregnancy, and a group of control nulliparous women. We will provide the longitudinal RDoC-based model at the end of the study, but we will also deliver intermediate longitudinal evaluations after the postpartum session, as well as cross-sectional analyses after the first intra-pregnancy session and the postpartum session. BEMOTHER is timely and innovative. It adopts the translational RDoC framework in order to provide a pioneering, comprehensive and dynamic characterization of the adaptations for motherhood, addressing the interaction among different functional domains at different levels of analysis.
Max ERC Funding
2 465 131 €
Duration
Start date: 2020-10-01, End date: 2025-09-30