Project acronym BODY-OWNERSHIP
Project Neural mechanisms of body ownership and the projection of ownership onto artificial bodies
Researcher (PI) H. Henrik Ehrsson
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Starting Grant (StG), LS4, ERC-2007-StG
Summary How do we recognize that our limbs are part of our own body, and why do we feel that one’s self is located inside the body? These fundamental questions have been discussed in theology, philosophy and psychology for millennia. The aim of my ground-breaking research programme is to identify the neuronal mechanisms that produce the sense of ownership of the body, and the processes responsible for the feeling that the self is located inside the physical body. To solve these questions I will adopt an inter-disciplinary approach using state-of-the-art methods from the fields of imaging neuroscience, experimental psychology, computer science and robotics. My first hypothesis is that the mechanism for body ownership is the integration of information from different sensory modalities (vision, touch and muscle sense) in multi-sensory brain areas (ventral premotor and intraparietal cortex). My second hypothesis is that the sense of where you are located in the environment is mediated by allocentric spatial representations in medial temporal lobes. To test this, I will use perceptual illusions and virtual-reality techniques that allow me to manipulate body ownership and the perceived location of the self, in conjunction with non-invasive recordings of brain activity in healthy humans. Functional magnetic resonance imaging and electroencephalography will be used to identify the neuronal correlates of ownership and ‘in-body experiences’, while transcranial magnetic stimulation will be used to examine the causal relationship between neural activity and ownership. It is no overstatement to say that my pioneering work could define a new sub-field in cognitive neuroscience dealing with how the brain represents the self. These basic scientific discoveries will be used in new frontier applications. For example, the development of a prosthetic limb that feels just like a real limb, and a method of controlling humanoid robots by the illusion of ‘becoming the robot’.
Summary
How do we recognize that our limbs are part of our own body, and why do we feel that one’s self is located inside the body? These fundamental questions have been discussed in theology, philosophy and psychology for millennia. The aim of my ground-breaking research programme is to identify the neuronal mechanisms that produce the sense of ownership of the body, and the processes responsible for the feeling that the self is located inside the physical body. To solve these questions I will adopt an inter-disciplinary approach using state-of-the-art methods from the fields of imaging neuroscience, experimental psychology, computer science and robotics. My first hypothesis is that the mechanism for body ownership is the integration of information from different sensory modalities (vision, touch and muscle sense) in multi-sensory brain areas (ventral premotor and intraparietal cortex). My second hypothesis is that the sense of where you are located in the environment is mediated by allocentric spatial representations in medial temporal lobes. To test this, I will use perceptual illusions and virtual-reality techniques that allow me to manipulate body ownership and the perceived location of the self, in conjunction with non-invasive recordings of brain activity in healthy humans. Functional magnetic resonance imaging and electroencephalography will be used to identify the neuronal correlates of ownership and ‘in-body experiences’, while transcranial magnetic stimulation will be used to examine the causal relationship between neural activity and ownership. It is no overstatement to say that my pioneering work could define a new sub-field in cognitive neuroscience dealing with how the brain represents the self. These basic scientific discoveries will be used in new frontier applications. For example, the development of a prosthetic limb that feels just like a real limb, and a method of controlling humanoid robots by the illusion of ‘becoming the robot’.
Max ERC Funding
909 850 €
Duration
Start date: 2008-12-01, End date: 2013-11-30
Project acronym CAAXPROCESSINGHUMDIS
Project CAAX Protein Processing in Human DIsease: From Cancer to Progeria
Researcher (PI) Martin Olof Bergoe
Host Institution (HI) GOETEBORGS UNIVERSITET
Call Details Starting Grant (StG), LS6, ERC-2007-StG
Summary My objective is to understand the physiologic and medical importance of the posttranslational processing of CAAX proteins (e.g., K-RAS and prelamin A) and to define the suitability of the CAAX protein processing enzymes as therapeutic targets for the treatment of cancer and progeria. CAAX proteins undergo three posttranslational processing steps at a carboxyl-terminal CAAX motif. These processing steps, which are mediated by four different enzymes (FTase, GGTase-I, RCE1, and ICMT), increase the hydrophobicity of the carboxyl terminus of the protein and thereby facilitate interactions with membrane surfaces. Somatic mutations in K-RAS deregulate cell growth and are etiologically involved in the pathogenesis of many forms of cancer. A mutation in prelamin A causes Hutchinson-Gilford progeria syndrome—a pediatric progeroid syndrome associated with misshaped cell nuclei and a host of aging-like disease phenotypes. One strategy to render the mutant K-RAS and prelamin A less harmful is to interfere with their ability to bind to membrane surfaces (e.g., the plasma membrane and the nuclear envelope). This could be accomplished by inhibiting the enzymes that modify the CAAX motif. My Specific Aims are: (1) To define the suitability of the CAAX processing enzymes as therapeutic targets in the treatment of K-RAS-induced lung cancer and leukemia; and (2) To test the hypothesis that inactivation of FTase or ICMT will ameliorate disease phenotypes of progeria. I have developed genetic strategies to produce lung cancer or leukemia in mice by activating an oncogenic K-RAS and simultaneously inactivating different CAAX processing enzymes. I will also inactivate several CAAX processing enzymes in mice with progeria—both before the emergence of phenotypes and after the development of advanced disease phenotypes. These experiments should reveal whether the absence of the different CAAX processing enzymes affects the onset, progression, or regression of cancer and progeria.
Summary
My objective is to understand the physiologic and medical importance of the posttranslational processing of CAAX proteins (e.g., K-RAS and prelamin A) and to define the suitability of the CAAX protein processing enzymes as therapeutic targets for the treatment of cancer and progeria. CAAX proteins undergo three posttranslational processing steps at a carboxyl-terminal CAAX motif. These processing steps, which are mediated by four different enzymes (FTase, GGTase-I, RCE1, and ICMT), increase the hydrophobicity of the carboxyl terminus of the protein and thereby facilitate interactions with membrane surfaces. Somatic mutations in K-RAS deregulate cell growth and are etiologically involved in the pathogenesis of many forms of cancer. A mutation in prelamin A causes Hutchinson-Gilford progeria syndrome—a pediatric progeroid syndrome associated with misshaped cell nuclei and a host of aging-like disease phenotypes. One strategy to render the mutant K-RAS and prelamin A less harmful is to interfere with their ability to bind to membrane surfaces (e.g., the plasma membrane and the nuclear envelope). This could be accomplished by inhibiting the enzymes that modify the CAAX motif. My Specific Aims are: (1) To define the suitability of the CAAX processing enzymes as therapeutic targets in the treatment of K-RAS-induced lung cancer and leukemia; and (2) To test the hypothesis that inactivation of FTase or ICMT will ameliorate disease phenotypes of progeria. I have developed genetic strategies to produce lung cancer or leukemia in mice by activating an oncogenic K-RAS and simultaneously inactivating different CAAX processing enzymes. I will also inactivate several CAAX processing enzymes in mice with progeria—both before the emergence of phenotypes and after the development of advanced disease phenotypes. These experiments should reveal whether the absence of the different CAAX processing enzymes affects the onset, progression, or regression of cancer and progeria.
Max ERC Funding
1 689 600 €
Duration
Start date: 2008-06-01, End date: 2013-05-31
Project acronym CARDIOMICS
Project Cardiomics: Use of -omics methods in large populations for identification of novel drug targets and clinical biomarkers for coronary heart disease
Researcher (PI) Erik Ingelsson
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Starting Grant (StG), LS7, ERC-2013-StG
Summary There is a large need for revitalization of the research on coronary heart disease (CHD) including: a) improved risk prediction and more adequate individually-tailored treatment; and b) new targets for drug development based on pathways previously unknown to be involved in CHD pathophysiology.
The overall goal of this proposal is to improve prevention and treatment of CHD through better understanding of the biology underlying disease development, identification of new biomarkers for improved risk prediction, and discovery of novel targets for drug development.
The specific aims are to:
1) Establish and characterize causal genes in known CHD loci (gene regions) through: a) resequencing of known CHD loci; b) expression profiling in liver, arteries, myocardium and skeletal muscle; c) high-throughput protein profiling; and d) experimental follow-up in zebrafish (Danio rerio) models.
2) Discover new proteins, metabolites and pathways involved in CHD pathophysiology using global proteomic and metabolomic profiling to provide new biomarkers and drug targets.
We will integrate genomic, transcriptomic, metabolomic and proteomic data from five longitudinal, population-based cohort studies with detailed phenotyping and one study with tissue collections for expression studies. The cohort studies include 36,907 individuals; there are 3,093 prevalent CHD cases at baseline and the estimated number of incident (new) events in previously healthy by 2016 is 2,202. In addition, we work with zebrafish model systems to establish causal CHD genes and characterize their mechanisms of action.
We have access to unique study materials, state-of-the art methods, and a strong track record of successful projects in this field. To our knowledge, there are no other groups combining -omics methods to elucidate the whole chain from DNA variation to overt CHD in such large and well-characterized study samples. Further, we are unaware of other groups using zebrafish models to screen for and characterize causal CHD genes. Our work is anticipated to lead to new important insights into the pathophysiology of CHD, identification of new biomarkers for improved risk prediction, and discovery of novel targets for drug development.
Summary
There is a large need for revitalization of the research on coronary heart disease (CHD) including: a) improved risk prediction and more adequate individually-tailored treatment; and b) new targets for drug development based on pathways previously unknown to be involved in CHD pathophysiology.
The overall goal of this proposal is to improve prevention and treatment of CHD through better understanding of the biology underlying disease development, identification of new biomarkers for improved risk prediction, and discovery of novel targets for drug development.
The specific aims are to:
1) Establish and characterize causal genes in known CHD loci (gene regions) through: a) resequencing of known CHD loci; b) expression profiling in liver, arteries, myocardium and skeletal muscle; c) high-throughput protein profiling; and d) experimental follow-up in zebrafish (Danio rerio) models.
2) Discover new proteins, metabolites and pathways involved in CHD pathophysiology using global proteomic and metabolomic profiling to provide new biomarkers and drug targets.
We will integrate genomic, transcriptomic, metabolomic and proteomic data from five longitudinal, population-based cohort studies with detailed phenotyping and one study with tissue collections for expression studies. The cohort studies include 36,907 individuals; there are 3,093 prevalent CHD cases at baseline and the estimated number of incident (new) events in previously healthy by 2016 is 2,202. In addition, we work with zebrafish model systems to establish causal CHD genes and characterize their mechanisms of action.
We have access to unique study materials, state-of-the art methods, and a strong track record of successful projects in this field. To our knowledge, there are no other groups combining -omics methods to elucidate the whole chain from DNA variation to overt CHD in such large and well-characterized study samples. Further, we are unaware of other groups using zebrafish models to screen for and characterize causal CHD genes. Our work is anticipated to lead to new important insights into the pathophysiology of CHD, identification of new biomarkers for improved risk prediction, and discovery of novel targets for drug development.
Max ERC Funding
1 498 224 €
Duration
Start date: 2014-01-01, End date: 2018-12-31
Project acronym COGOPTO
Project The role of parvalbumin interneurons in cognition and behavior
Researcher (PI) Eva Marie Carlen
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Starting Grant (StG), LS5, ERC-2013-StG
Summary Cognition is a collective term for complex but sophisticated mental processes such as attention, learning, social interaction, language production, decision making and other executive functions. For normal brain function, these higher-order functions need to be aptly regulated and controlled, and the physiology and cellular substrates for cognitive functions are under intense investigation. The loss of cognitive control is intricately related to pathological states such as schizophrenia, depression, attention deficit hyperactive disorder and addiction.
Synchronized neural activity can be observed when the brain performs several important functions, including cognitive processes. As an example, gamma activity (30-80 Hz) predicts the allocation of attention and theta activity (4-12 Hz) is tightly linked to memory processes. A large body of work indicates that the integrity of local and global neural synchrony is mediated by interneuron networks and actuated by the balance of different neuromodulators.
However, much knowledge is still needed on the functional role interneurons play in cognitive processes, i.e. how the interneurons contribute to local and global network processes subserving cognition, and ultimately play a role in behavior. In addition, we need to understand how neuro-modulators, such as dopamine, regulate interneuron function.
The proposed project aims to functionally determine the specific role the parvalbumin interneurons and the neuromodulator dopamine in aspects of cognition, and in behavior. In addition, we ask the question if cognition can be enhanced.
We are employing a true multidisciplinary approach where brain activity is recorded in conjunctions with optogenetic manipulations of parvalbumin interneurons in animals performing cognitive tasks. In one set of experiments knock-down of dopamine receptors specifically in parvalbumin interneurons is employed to probe how this neuromodulator regulate network functions.
Summary
Cognition is a collective term for complex but sophisticated mental processes such as attention, learning, social interaction, language production, decision making and other executive functions. For normal brain function, these higher-order functions need to be aptly regulated and controlled, and the physiology and cellular substrates for cognitive functions are under intense investigation. The loss of cognitive control is intricately related to pathological states such as schizophrenia, depression, attention deficit hyperactive disorder and addiction.
Synchronized neural activity can be observed when the brain performs several important functions, including cognitive processes. As an example, gamma activity (30-80 Hz) predicts the allocation of attention and theta activity (4-12 Hz) is tightly linked to memory processes. A large body of work indicates that the integrity of local and global neural synchrony is mediated by interneuron networks and actuated by the balance of different neuromodulators.
However, much knowledge is still needed on the functional role interneurons play in cognitive processes, i.e. how the interneurons contribute to local and global network processes subserving cognition, and ultimately play a role in behavior. In addition, we need to understand how neuro-modulators, such as dopamine, regulate interneuron function.
The proposed project aims to functionally determine the specific role the parvalbumin interneurons and the neuromodulator dopamine in aspects of cognition, and in behavior. In addition, we ask the question if cognition can be enhanced.
We are employing a true multidisciplinary approach where brain activity is recorded in conjunctions with optogenetic manipulations of parvalbumin interneurons in animals performing cognitive tasks. In one set of experiments knock-down of dopamine receptors specifically in parvalbumin interneurons is employed to probe how this neuromodulator regulate network functions.
Max ERC Funding
1 400 000 €
Duration
Start date: 2014-02-01, End date: 2019-01-31
Project acronym DII
Project The Design of International Institutions: Legitimacy, Effectiveness and Distribution in Global Governance
Researcher (PI) Jonas Tallberg
Host Institution (HI) STOCKHOLMS UNIVERSITET
Call Details Starting Grant (StG), SH2, ERC-2007-StG
Summary One of the most profound trends in global governance over the past two decades is the growing extent to which international institutions offer mechanisms for the participation of transnational actors. This project will explore two central research questions, pertaining to the causes and effects of this shift in the design of international institutions: (1) Why have international institutions increasingly opened up to transnational actor involvement? (2) What are the consequences of involving transnational actors for the democratic legitimacy, problem-solving effectiveness, and distributional effects of international institutions? These are research questions that previously have not been explored systematically in existing literatures on international institutional design, transnational actors in global governance, and democracy beyond the nation-state. This project opens up a new research agenda on the design of international institutions through an ambitious combination of novel theory development and comparative empirical research. Theoretically, the project develops and tests alternative hypotheses about the causes and effects of transnational participation in international policy-making. Empirically, the project explores the dynamics of transnational participation through comparative case studies of five major international institutions, supplemented with a large-n mapping of formal mechanisms of transnational access in a broader sample of institutions. The project will help to establish an internationally competitive research group of post-doc researchers and Ph.D. students devoted to international institutional design, and consolidate the position of the principal investigator as a leading researcher in this field.
Summary
One of the most profound trends in global governance over the past two decades is the growing extent to which international institutions offer mechanisms for the participation of transnational actors. This project will explore two central research questions, pertaining to the causes and effects of this shift in the design of international institutions: (1) Why have international institutions increasingly opened up to transnational actor involvement? (2) What are the consequences of involving transnational actors for the democratic legitimacy, problem-solving effectiveness, and distributional effects of international institutions? These are research questions that previously have not been explored systematically in existing literatures on international institutional design, transnational actors in global governance, and democracy beyond the nation-state. This project opens up a new research agenda on the design of international institutions through an ambitious combination of novel theory development and comparative empirical research. Theoretically, the project develops and tests alternative hypotheses about the causes and effects of transnational participation in international policy-making. Empirically, the project explores the dynamics of transnational participation through comparative case studies of five major international institutions, supplemented with a large-n mapping of formal mechanisms of transnational access in a broader sample of institutions. The project will help to establish an internationally competitive research group of post-doc researchers and Ph.D. students devoted to international institutional design, and consolidate the position of the principal investigator as a leading researcher in this field.
Max ERC Funding
1 651 200 €
Duration
Start date: 2009-01-01, End date: 2014-12-31
Project acronym ERIKLINDAHLERC2007
Project Multiscale and Distributed Computing Algorithms for Biomolecular Simulation and Efficient Free Energy Calculations
Researcher (PI) Erik Lindahl
Host Institution (HI) KUNGLIGA TEKNISKA HOEGSKOLAN
Call Details Starting Grant (StG), PE4, ERC-2007-StG
Summary The long-term goal of our research is to advance the state-of-the-art in molecular simulation algorithms by 4-5 orders of magnitude, particularly in the context of the GROMACS software we are developing. This is an immense challenge, but with huge potential rewards: it will be an amazing virtual microscope for basic chemistry, polymer and material science research; it could help us understand the molecular basis of diseases such as Creutzfeldt-Jacob, and it would enable rational design rather than random screening for future drugs. To realize it, we will focus on four critical topics: • ALGORITHMS FOR SIMULATION ON GRAPHICS AND OTHER STREAMING PROCESSORS: Graphics cards and the test Intel 80-core chip are not only the most powerful processors available, but this type of streaming architectures will power many supercomputers in 3-5 years, and it is thus critical that we design new “streamable” MD algorithms. • MULTISCALE MODELING: We will develop virtual-site-based methods to bridge atomic and mesoscopic dynamics, QM/MM, and mixed explicit/implicit solvent models with water layers around macromolecules. • MULTI-LEVEL PARALLEL & DISTRIBUTED SIMULATION: Distributed computing provides virtually infinite computer power, but has been limited to small systems. We will address this by combining SMP parallelization and Markov State Models that partition phase space into transition/local dynamics to enable distributed simulation of arbitrary systems. • EFFICIENT FREE ENERGY CALCULATIONS: We will design algorithms for multi-conformational parallel sampling, implement Bennett Acceptance Ratios in Gromacs, correction terms for PME lattice sums, and combine standard force fields with polarization/multipoles, e.g. Amoeba. We have a very strong track record of converting methodological advances into applications, and the results will have impact on a wide range of fields from biomolecules and polymer science through material simulations and nanotechnology.
Summary
The long-term goal of our research is to advance the state-of-the-art in molecular simulation algorithms by 4-5 orders of magnitude, particularly in the context of the GROMACS software we are developing. This is an immense challenge, but with huge potential rewards: it will be an amazing virtual microscope for basic chemistry, polymer and material science research; it could help us understand the molecular basis of diseases such as Creutzfeldt-Jacob, and it would enable rational design rather than random screening for future drugs. To realize it, we will focus on four critical topics: • ALGORITHMS FOR SIMULATION ON GRAPHICS AND OTHER STREAMING PROCESSORS: Graphics cards and the test Intel 80-core chip are not only the most powerful processors available, but this type of streaming architectures will power many supercomputers in 3-5 years, and it is thus critical that we design new “streamable” MD algorithms. • MULTISCALE MODELING: We will develop virtual-site-based methods to bridge atomic and mesoscopic dynamics, QM/MM, and mixed explicit/implicit solvent models with water layers around macromolecules. • MULTI-LEVEL PARALLEL & DISTRIBUTED SIMULATION: Distributed computing provides virtually infinite computer power, but has been limited to small systems. We will address this by combining SMP parallelization and Markov State Models that partition phase space into transition/local dynamics to enable distributed simulation of arbitrary systems. • EFFICIENT FREE ENERGY CALCULATIONS: We will design algorithms for multi-conformational parallel sampling, implement Bennett Acceptance Ratios in Gromacs, correction terms for PME lattice sums, and combine standard force fields with polarization/multipoles, e.g. Amoeba. We have a very strong track record of converting methodological advances into applications, and the results will have impact on a wide range of fields from biomolecules and polymer science through material simulations and nanotechnology.
Max ERC Funding
992 413 €
Duration
Start date: 2008-09-01, End date: 2013-08-31
Project acronym GENOMIC STABILITY
Project Genomic stability -chromosome segregation and repair
Researcher (PI) Camilla Bjoerkegren Sjoegren
Host Institution (HI) KAROLINSKA INSTITUTET
Call Details Starting Grant (StG), LS1, ERC-2007-StG
Summary The eukaryotic genome combines a highly dynamic nature with stable transmission of genetic information from mother to daughter cells. This is achieved by a plethora of protein networks regulating processes such as chromosome duplication, segregation and repair. The principal aim of our research is to determine the molecular interplay between chromosome segregation and repair. Accurate execution of these two events is crucial for the maintenance of genome stability, which in turn is essential for life. Additionally, erroneous segregation or repair leads to chromosomal aberrations that are linked to tumor formation and human developmental syndromes. Thus, our investigations are not only crucial in a basic research perspective, but important also for the understanding of the causes of human disease. The research is based on the budding yeast model system, and combines genome-wide analysis of protein-chromosome interactions with cell-based experimental systems. Our investigations have until now revealed that chromosome segregation and repair are directly linked through two evolutionary conserved SMC (Structural Maintenance of Chromosomes) protein complexes, Cohesin and the Smc5/6 complex. The project now further explores the molecular details of this connection, bringing light into this unexplored area of research, and deciphering the cellular defense against genomic alterations connected to cancer and developmental diseases.
Summary
The eukaryotic genome combines a highly dynamic nature with stable transmission of genetic information from mother to daughter cells. This is achieved by a plethora of protein networks regulating processes such as chromosome duplication, segregation and repair. The principal aim of our research is to determine the molecular interplay between chromosome segregation and repair. Accurate execution of these two events is crucial for the maintenance of genome stability, which in turn is essential for life. Additionally, erroneous segregation or repair leads to chromosomal aberrations that are linked to tumor formation and human developmental syndromes. Thus, our investigations are not only crucial in a basic research perspective, but important also for the understanding of the causes of human disease. The research is based on the budding yeast model system, and combines genome-wide analysis of protein-chromosome interactions with cell-based experimental systems. Our investigations have until now revealed that chromosome segregation and repair are directly linked through two evolutionary conserved SMC (Structural Maintenance of Chromosomes) protein complexes, Cohesin and the Smc5/6 complex. The project now further explores the molecular details of this connection, bringing light into this unexplored area of research, and deciphering the cellular defense against genomic alterations connected to cancer and developmental diseases.
Max ERC Funding
900 000 €
Duration
Start date: 2008-09-01, End date: 2013-08-31
Project acronym GLOBALVISION
Project Global Optimization Methods in Computer Vision, Pattern Recognition and Medical Imaging
Researcher (PI) Fredrik Kahl
Host Institution (HI) LUNDS UNIVERSITET
Call Details Starting Grant (StG), PE5, ERC-2007-StG
Summary Computer vision concerns itself with understanding the real world through the analysis of images. Typical problems are object recognition, medical image segmentation, geometric reconstruction problems and navigation of autonomous vehicles. Such problems often lead to complicated optimization problems with a mixture of discrete and continuous variables, or even infinite dimensional variables in terms of curves and surfaces. Today, state-of-the-art in solving these problems generally relies on heuristic methods that generate only local optima of various qualities. During the last few years, work by the applicant, co-workers, and others has opened new possibilities. This research project builds on this. We will in this project focus on developing new global optimization methods for computing high-quality solutions for a broad class of problems. A guiding principle will be to relax the original, complicated problem to an approximate, simpler one to which globally optimal solutions can more easily be computed. Technically, this relaxed problem often is convex. A crucial point in this approach is to estimate the quality of the exact solution of the approximate problem compared to the (unknown) global optimum of the original problem. Preliminary results have been well received by the research community and we now wish to extend this work to more difficult and more general problem settings, resulting in thorough re-examination of algorithms used widely in different and trans-disciplinary fields. This project is to be considered as a basic research project with relevance to industry. The expected outcome is new knowledge spread to a wide community through scientific papers published at international journals and conferences as well as publicly available software.
Summary
Computer vision concerns itself with understanding the real world through the analysis of images. Typical problems are object recognition, medical image segmentation, geometric reconstruction problems and navigation of autonomous vehicles. Such problems often lead to complicated optimization problems with a mixture of discrete and continuous variables, or even infinite dimensional variables in terms of curves and surfaces. Today, state-of-the-art in solving these problems generally relies on heuristic methods that generate only local optima of various qualities. During the last few years, work by the applicant, co-workers, and others has opened new possibilities. This research project builds on this. We will in this project focus on developing new global optimization methods for computing high-quality solutions for a broad class of problems. A guiding principle will be to relax the original, complicated problem to an approximate, simpler one to which globally optimal solutions can more easily be computed. Technically, this relaxed problem often is convex. A crucial point in this approach is to estimate the quality of the exact solution of the approximate problem compared to the (unknown) global optimum of the original problem. Preliminary results have been well received by the research community and we now wish to extend this work to more difficult and more general problem settings, resulting in thorough re-examination of algorithms used widely in different and trans-disciplinary fields. This project is to be considered as a basic research project with relevance to industry. The expected outcome is new knowledge spread to a wide community through scientific papers published at international journals and conferences as well as publicly available software.
Max ERC Funding
1 440 000 €
Duration
Start date: 2008-07-01, End date: 2013-06-30
Project acronym HYDROCARB
Project Towards a new understanding of carbon processing in freshwaters: methane emission hot spots and carbon burial
Researcher (PI) Sebastian Sobek
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Starting Grant (StG), PE10, ERC-2013-StG
Summary In spite of their small areal extent, inland waters play a vital role in the carbon cycle of the continents, as they emit significant amounts of the greenhouse gases (GHG) carbon dioxide (CO2) and methane (CH4) to the atmosphere, and simultaneously bury more organic carbon (OC) in their sediments than the entire ocean. Particularly in tropical hydropower reservoirs, GHG emissions can be large, mainly owing to high CH4 emission. Moreover, the number of tropical hydropower reservoirs will continue to increase dramatically, due to an urgent need for economic growth and a vast unused hydropower potential in many tropical countries. However, the current understanding of the magnitude of GHG emission, and of the processes regulating it, is insufficient. Here I propose a research program on tropical reservoirs in Brazil that takes advantage of recent developments in both concepts and methodologies to provide unique evaluations of GHG emission and OC burial in tropical reservoirs. In particular, I will test the following hypotheses: 1) Current estimates of reservoir CH4 emission are at least one order of magnitude too low, since they have completely missed the recently discovered existence of gas bubble emission hot spots; 2) The burial of land-derived OC in reservoir sediments offsets a significant share of the GHG emissions; and 3) The sustained, long-term CH4 emission from reservoirs is to a large degree fuelled by primary production of new OC within the reservoir, and may therefore be reduced by management of nutrient supply. The new understanding and the cross-disciplinary methodological approach will constitute a major advance to aquatic science in general, and have strong impacts on the understanding of other aquatic systems at other latitudes as well. In addition, the results will be merged into an existing reservoir GHG risk assessment tool to improve planning, design, management and judgment of hydropower reservoirs.
Summary
In spite of their small areal extent, inland waters play a vital role in the carbon cycle of the continents, as they emit significant amounts of the greenhouse gases (GHG) carbon dioxide (CO2) and methane (CH4) to the atmosphere, and simultaneously bury more organic carbon (OC) in their sediments than the entire ocean. Particularly in tropical hydropower reservoirs, GHG emissions can be large, mainly owing to high CH4 emission. Moreover, the number of tropical hydropower reservoirs will continue to increase dramatically, due to an urgent need for economic growth and a vast unused hydropower potential in many tropical countries. However, the current understanding of the magnitude of GHG emission, and of the processes regulating it, is insufficient. Here I propose a research program on tropical reservoirs in Brazil that takes advantage of recent developments in both concepts and methodologies to provide unique evaluations of GHG emission and OC burial in tropical reservoirs. In particular, I will test the following hypotheses: 1) Current estimates of reservoir CH4 emission are at least one order of magnitude too low, since they have completely missed the recently discovered existence of gas bubble emission hot spots; 2) The burial of land-derived OC in reservoir sediments offsets a significant share of the GHG emissions; and 3) The sustained, long-term CH4 emission from reservoirs is to a large degree fuelled by primary production of new OC within the reservoir, and may therefore be reduced by management of nutrient supply. The new understanding and the cross-disciplinary methodological approach will constitute a major advance to aquatic science in general, and have strong impacts on the understanding of other aquatic systems at other latitudes as well. In addition, the results will be merged into an existing reservoir GHG risk assessment tool to improve planning, design, management and judgment of hydropower reservoirs.
Max ERC Funding
1 798 227 €
Duration
Start date: 2013-09-01, End date: 2019-08-31
Project acronym MEDIA AND POLICY
Project The impact of mass media on public policy
Researcher (PI) David Stroemberg
Host Institution (HI) STOCKHOLMS UNIVERSITET
Call Details Starting Grant (StG), SH1, ERC-2007-StG
Summary This project will study political economics issues, that is, how public policies are influenced by political considerations. The emphasis is on the mass media's role in shaping government policies. A smaller part will also analyze how different political institutions and economic outcomes influence policy and the impact of extreme weather events. The project will mainly be empirical, using statistical methods with a focus on identifying causal effects, rather than correlations. The study of media effects will analyze the political impact of having a press actively covering politics. This is an important issue, largely unanswered because the presence of an active press is endogenous to things like corruption and voter information. We will address this question in the special case of media coverage of US Congressional elections. To identify the effect of news, we will use the fact that the amount of coverage is driven to a large extent by the coincidental match between media markets and congressional districts. We intend to analyze the effect of active press coverage on, (i) voter information, (ii) politicians actions, and (iii) federal funds per capita. The project will also investigate how political institutions and economic outcomes influences the health impacts (such as mortality among old and infants) of weather extremes. Historical weather data at a very detailed geographical level will be combined with socio-economic data in a panel (longitudinal) form. This is joint work with meteorologists who will construct historical weather data at fine grids across the globe. The part dealing with structural political economics aims to develop a framework for investigating the effects of institutions on economic policy. In existing work, there is a disconnect between the theoretical modelling and empirical applications. The aim is to close this gap.
Summary
This project will study political economics issues, that is, how public policies are influenced by political considerations. The emphasis is on the mass media's role in shaping government policies. A smaller part will also analyze how different political institutions and economic outcomes influence policy and the impact of extreme weather events. The project will mainly be empirical, using statistical methods with a focus on identifying causal effects, rather than correlations. The study of media effects will analyze the political impact of having a press actively covering politics. This is an important issue, largely unanswered because the presence of an active press is endogenous to things like corruption and voter information. We will address this question in the special case of media coverage of US Congressional elections. To identify the effect of news, we will use the fact that the amount of coverage is driven to a large extent by the coincidental match between media markets and congressional districts. We intend to analyze the effect of active press coverage on, (i) voter information, (ii) politicians actions, and (iii) federal funds per capita. The project will also investigate how political institutions and economic outcomes influences the health impacts (such as mortality among old and infants) of weather extremes. Historical weather data at a very detailed geographical level will be combined with socio-economic data in a panel (longitudinal) form. This is joint work with meteorologists who will construct historical weather data at fine grids across the globe. The part dealing with structural political economics aims to develop a framework for investigating the effects of institutions on economic policy. In existing work, there is a disconnect between the theoretical modelling and empirical applications. The aim is to close this gap.
Max ERC Funding
799 945 €
Duration
Start date: 2008-09-01, End date: 2014-08-31
