Project acronym GLOBESCAPE
Project Enabling transformation: Linking design and land system science to foster place-making in peri-urban landscapes under increasing globalization
Researcher (PI) Adrienne GRÊT-REGAMEY
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), SH2, ERC-2017-STG
Summary Unprecedented urbanization is threatening landscape diversity, bringing along new social and environmental problems. Standardized business centers, single family residential areas and shopping malls displace highly productive agricultural land, while the culture and lifestyles of local communities become absorbed into the sphere of globalization. This dramatic uniformisation is nurtured by the ever increasing global human migration. People are losing their sense of place and their motivation to initiate change. Uniformed international landscapes start dominating peri-urban areas. The result is a tremendous increase in fragility of these new landscapes of the twenty-first century, calling for an active and creative landscape shaping process to secure the long-term provision of critical ecosystem services. Up until now, however, models and tools developed in land system science have not caught up with the needs to understand and ultimately foster humans’ capacities to shape their landscapes.
This project will contribute to a next generation of tools and methods to foster the development of resilient landscapes. I suggest linking design and probabilistic modeling in a collaborative landscape development tool to enable the transformation of spaces into places. This unconventional approach is necessary to deal with the probabilistic nature of landscapes. Landscapes can only be defined by including the observer – a concept severally neglected in today’s research efforts. Anchored in four peri-urban case studies, the interdisciplinary experimental and modeling work will have impact far beyond predicting transformation pathways of peri-urban landscapes under increased globalization. The resulting methods and tool will redefine the status quo of current geodesign tools, promote novel ways of deliberative decision-making and governance, and ultimately support humans to intentionally transform peri-urban landscapes.
Summary
Unprecedented urbanization is threatening landscape diversity, bringing along new social and environmental problems. Standardized business centers, single family residential areas and shopping malls displace highly productive agricultural land, while the culture and lifestyles of local communities become absorbed into the sphere of globalization. This dramatic uniformisation is nurtured by the ever increasing global human migration. People are losing their sense of place and their motivation to initiate change. Uniformed international landscapes start dominating peri-urban areas. The result is a tremendous increase in fragility of these new landscapes of the twenty-first century, calling for an active and creative landscape shaping process to secure the long-term provision of critical ecosystem services. Up until now, however, models and tools developed in land system science have not caught up with the needs to understand and ultimately foster humans’ capacities to shape their landscapes.
This project will contribute to a next generation of tools and methods to foster the development of resilient landscapes. I suggest linking design and probabilistic modeling in a collaborative landscape development tool to enable the transformation of spaces into places. This unconventional approach is necessary to deal with the probabilistic nature of landscapes. Landscapes can only be defined by including the observer – a concept severally neglected in today’s research efforts. Anchored in four peri-urban case studies, the interdisciplinary experimental and modeling work will have impact far beyond predicting transformation pathways of peri-urban landscapes under increased globalization. The resulting methods and tool will redefine the status quo of current geodesign tools, promote novel ways of deliberative decision-making and governance, and ultimately support humans to intentionally transform peri-urban landscapes.
Max ERC Funding
1 498 106 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym GLYCANAL
Project High-Throughput Cryogenic Spectroscopy for Glycan Analysis
Researcher (PI) Thomas RIZZO
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Advanced Grant (AdG), PE4, ERC-2017-ADG
Summary Glycans, or oligosaccharides, are ubiquitous in biological systems. Because they decorate the surface of cells, they play a key role in virtually all cellular recognition processes and are implicated in almost every major disease. Despite their importance, the characterization of glycan primary structure lags far behind that of proteins and DNA because of their intrinsic isomeric complexity. The isomeric nature of the monosaccharide building blocks, the stereochemistry of the glycosidic bond, the possibility of multiple attachment points, and the occurrence of isomeric branched structures all make glycans difficult to analyze.
Although mass spectrometry (MS) is one of the most sensitive approaches for glycan analysis, it has difficulty to distinguish all these various types of isomerisms. Ion mobility spectrometry (IMS) combined with MS has demonstrated some ability to identify glycan anomers and regioisomers, but cannot easily distinguish isomeric disaccharides, for example.
We have recently demonstrated that cryogenic infrared spectroscopy provides unique vibrational fingerprints of glycans that distinguishes all the various types of isomerism. When combined with simultaneous measurements of mass and ion mobility, these fingerprints can be tabulated in a database and used to identify a given glycan from a mixture. However, adding a spectroscopic dimension to ion mobility and mass measurements requires additional time, which hampers it use as an analytical tool. To use spectroscopic data for real-world glycan analysis, one must multiplex the measurement process and record the vibrational spectrum of many species simultaneously.
This project involves designing and constructing an instrument that combines state-of-the-art ion mobility separation, cryogenic ion spectroscopy, and time-of-flight mass spectrometry to perform high throughput analysis of glycan primary structure. The success of this project would represent a tremendous breakthrough for glycoscience.
Summary
Glycans, or oligosaccharides, are ubiquitous in biological systems. Because they decorate the surface of cells, they play a key role in virtually all cellular recognition processes and are implicated in almost every major disease. Despite their importance, the characterization of glycan primary structure lags far behind that of proteins and DNA because of their intrinsic isomeric complexity. The isomeric nature of the monosaccharide building blocks, the stereochemistry of the glycosidic bond, the possibility of multiple attachment points, and the occurrence of isomeric branched structures all make glycans difficult to analyze.
Although mass spectrometry (MS) is one of the most sensitive approaches for glycan analysis, it has difficulty to distinguish all these various types of isomerisms. Ion mobility spectrometry (IMS) combined with MS has demonstrated some ability to identify glycan anomers and regioisomers, but cannot easily distinguish isomeric disaccharides, for example.
We have recently demonstrated that cryogenic infrared spectroscopy provides unique vibrational fingerprints of glycans that distinguishes all the various types of isomerism. When combined with simultaneous measurements of mass and ion mobility, these fingerprints can be tabulated in a database and used to identify a given glycan from a mixture. However, adding a spectroscopic dimension to ion mobility and mass measurements requires additional time, which hampers it use as an analytical tool. To use spectroscopic data for real-world glycan analysis, one must multiplex the measurement process and record the vibrational spectrum of many species simultaneously.
This project involves designing and constructing an instrument that combines state-of-the-art ion mobility separation, cryogenic ion spectroscopy, and time-of-flight mass spectrometry to perform high throughput analysis of glycan primary structure. The success of this project would represent a tremendous breakthrough for glycoscience.
Max ERC Funding
2 499 801 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym GRIEVANCES
Project The Economics of Grievances and Ethnic Conflicts
Researcher (PI) Mathias Thoenig
Host Institution (HI) UNIVERSITE DE LAUSANNE
Call Details Starting Grant (StG), SH1, ERC-2012-StG_20111124
Summary "I analyze theoretically and empirically the role played by grievances and hostile beliefs in ethnic conflicts. I study the interaction between economic incentives, endogenous salience of ethnic identities, belief dynamics and conflicts. In particular I analyze the formation of oppositional ethnic identities, which correspond to group-specific systems of beliefs leading to distrust and use of violence. Those issues are at the intersection of the literatures on the economics of conflicts and the economics of social identity. They involve both micro- and macro- aspects. I provide an applied theory framework to articulate the analysis and I perform both experimental and empirical investigations to test the main theoretical predictions.
The project is ambitious but realistic. It has the potential for important contributions to the current literature: the topic is important, original and unexplored using formal and quantitative methods. My methodological approach encompasses state-of-the-art theory and thought-provocative empirical strategies. The approach is grounded in quantitative economics. However the proposal draws many insights from other disciplines in the social and biological sciences.
This proposal is a revised version of my research project which was selected for the second step of the previous ERC 2011 call."
Summary
"I analyze theoretically and empirically the role played by grievances and hostile beliefs in ethnic conflicts. I study the interaction between economic incentives, endogenous salience of ethnic identities, belief dynamics and conflicts. In particular I analyze the formation of oppositional ethnic identities, which correspond to group-specific systems of beliefs leading to distrust and use of violence. Those issues are at the intersection of the literatures on the economics of conflicts and the economics of social identity. They involve both micro- and macro- aspects. I provide an applied theory framework to articulate the analysis and I perform both experimental and empirical investigations to test the main theoretical predictions.
The project is ambitious but realistic. It has the potential for important contributions to the current literature: the topic is important, original and unexplored using formal and quantitative methods. My methodological approach encompasses state-of-the-art theory and thought-provocative empirical strategies. The approach is grounded in quantitative economics. However the proposal draws many insights from other disciplines in the social and biological sciences.
This proposal is a revised version of my research project which was selected for the second step of the previous ERC 2011 call."
Max ERC Funding
1 031 370 €
Duration
Start date: 2013-01-01, End date: 2017-12-31
Project acronym GULAGECHOES
Project Gulag Echoes in the “multicultural prison”: historical and geographical influences on the identity and politics of ethnic minority prisoners in the communist successor states of Russia Europe.
Researcher (PI) Judith PALLOT
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Advanced Grant (AdG), SH3, ERC-2017-ADG
Summary "The project will examine the impact of the system of penality developed in the Soviet gulag on the ethnic identification and political radicalisation of prisoners in the Soviet Union and the communist successor states of Europe today. It is informed by the proposition that prisons are sites of ethnic identity construction but that the processes involved vary within and between states. In the project, the focus is on the extent to which particular ""prison-styles"" affect the social relationships, self-identification and political association of ethnic minority prisoners. After the collapse of the Soviet Union, the communist successor states all set about reforming their prison systems to bring them into line with international and European norms. However, all to a lesser or greater extent still have legacies of the system gestated in the Soviet Gulag and exported to East-Central-Europe after WWII. These may include the internal organisation of penal space, a collectivist approach to prisoner management, penal labour and, as in Russian case, a geographical distribution of the penal estate that results in prisoners being sent excessively long distances to serve their sentences. It is the how these legacies, interacting with other forces (including official and popular discourses, formal policy and individual life-histories) transform, confirm, and suppress the ethnic identification of prisoners that the project seeks to excavate. It will use a mixed method approach to answer research questions, including interviews with ex-prisoners and prisoners' families, the use of archival and documentary sources and social media. The research will use case studies to analyze the experiences of ethnic minority prisoners over time and through space. These provisionally will be Chechens, Tartars, Ukrainians, Estonians, migrant Uzbek and Tadjik workers and Roma and the country case studies are the Russian Federation, Georgia and Romania."
Summary
"The project will examine the impact of the system of penality developed in the Soviet gulag on the ethnic identification and political radicalisation of prisoners in the Soviet Union and the communist successor states of Europe today. It is informed by the proposition that prisons are sites of ethnic identity construction but that the processes involved vary within and between states. In the project, the focus is on the extent to which particular ""prison-styles"" affect the social relationships, self-identification and political association of ethnic minority prisoners. After the collapse of the Soviet Union, the communist successor states all set about reforming their prison systems to bring them into line with international and European norms. However, all to a lesser or greater extent still have legacies of the system gestated in the Soviet Gulag and exported to East-Central-Europe after WWII. These may include the internal organisation of penal space, a collectivist approach to prisoner management, penal labour and, as in Russian case, a geographical distribution of the penal estate that results in prisoners being sent excessively long distances to serve their sentences. It is the how these legacies, interacting with other forces (including official and popular discourses, formal policy and individual life-histories) transform, confirm, and suppress the ethnic identification of prisoners that the project seeks to excavate. It will use a mixed method approach to answer research questions, including interviews with ex-prisoners and prisoners' families, the use of archival and documentary sources and social media. The research will use case studies to analyze the experiences of ethnic minority prisoners over time and through space. These provisionally will be Chechens, Tartars, Ukrainians, Estonians, migrant Uzbek and Tadjik workers and Roma and the country case studies are the Russian Federation, Georgia and Romania."
Max ERC Funding
2 494 685 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym HBMAP
Project Decoding, Mapping and Designing the Structural Complexity of Hydrogen-Bond Networks: from Water to Proteins to Polymers
Researcher (PI) Michele Ceriotti
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE4, ERC-2015-STG
Summary Hydrogen bonds are ubiquitous and fundamental in nature, underpinning the behavior of systems as different as water, proteins and polymers. Much of this flexibility derives from their propensity to form complex topological networks, which can be strong enough to hold Kevlar together, or sufficiently labile to enable reversible structural transitions in allosteric proteins.
Simulations must treat the quantum nature of both electrons and protons to describe accurately the microscopic structure of H-bonded materials, but this wealth of data does not necessarily translate into deep physical understanding. Even the structure of a compound as essential as water is still the subject of intense debate, despite extensive investigations. Identifying recurring bonding patterns is essential to comprehend and manipulate the structural and dynamical properties of H-bonded systems.
Our objective is to develop and apply machine-learning techniques to atomistic simulations, and identify the design principles that govern the structure and properties of H-bonded compounds. Our strategy rests on three efforts: (1) recognition of recurring structural motifs with probabilistic data analysis; (2) coarse-grained mapping of the energetically accessible structural landscape by non-linear dimensionality reduction techniques; (3) acceleration of configuration sampling using these data-driven collective variables.
Identifying motifs and order parameters will be crucial to interpret simulations and experiments of growing complexity, and will enable computational design of H-bond networks. We will focus first on two objectives. (1) Rationalizing the structure of crystalline, amorphous and liquid water across its phase diagram, from ambient to astrophysical conditions, and its response to solutes, interfaces or confinement. (2) Enabling efficient simulation and structural design of polymers and proteins in non-biological contexts, targeting biomimetic materials and organic/inorganic interfaces.
Summary
Hydrogen bonds are ubiquitous and fundamental in nature, underpinning the behavior of systems as different as water, proteins and polymers. Much of this flexibility derives from their propensity to form complex topological networks, which can be strong enough to hold Kevlar together, or sufficiently labile to enable reversible structural transitions in allosteric proteins.
Simulations must treat the quantum nature of both electrons and protons to describe accurately the microscopic structure of H-bonded materials, but this wealth of data does not necessarily translate into deep physical understanding. Even the structure of a compound as essential as water is still the subject of intense debate, despite extensive investigations. Identifying recurring bonding patterns is essential to comprehend and manipulate the structural and dynamical properties of H-bonded systems.
Our objective is to develop and apply machine-learning techniques to atomistic simulations, and identify the design principles that govern the structure and properties of H-bonded compounds. Our strategy rests on three efforts: (1) recognition of recurring structural motifs with probabilistic data analysis; (2) coarse-grained mapping of the energetically accessible structural landscape by non-linear dimensionality reduction techniques; (3) acceleration of configuration sampling using these data-driven collective variables.
Identifying motifs and order parameters will be crucial to interpret simulations and experiments of growing complexity, and will enable computational design of H-bond networks. We will focus first on two objectives. (1) Rationalizing the structure of crystalline, amorphous and liquid water across its phase diagram, from ambient to astrophysical conditions, and its response to solutes, interfaces or confinement. (2) Enabling efficient simulation and structural design of polymers and proteins in non-biological contexts, targeting biomimetic materials and organic/inorganic interfaces.
Max ERC Funding
1 500 000 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym HDPROBES
Project Photoactivatable Sensors and Blinking Dyes for Live-Cell, Single-Molecule Localization Microscopy
Researcher (PI) Pablo Marcelo RIVERA FUENTES
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE5, ERC-2018-STG
Summary In this proposal, we introduce two new families of probes for live-cell super-resolution microscopy. The first class comprises small-molecule fluorescent sensors for detecting short-lived, small signaling molecules and active enzymes with single-molecule resolution. The spatiotemporal confinement of biological reactive molecules has been hypothesized to regulate various pathological and physiological processes, but the lack of tools to observe directly these microdomains of biochemical activity has precluded the investigation of these mechanisms. The ability to detect small signaling agents and active enzymes with nanometric resolution in intact live specimens will allow us to study the role of compartmentalization in intracellular signaling at an unprecedented resolution. Our studies will focus on detecting elusive reactive oxygen and nitrogen species directly at their sites of endogenous production. We will also investigate the subcellular distribution of protease activity, focusing on its role in non-apoptotic signaling.
The second class of probes encompasses a palette of fluorescent dyes that switch continuously between dark and emissive forms. This dynamic equilibrium will enable the localization of single molecules in a densely labeled field without the need to apply toxic light for photoactivation. Based on a novel switching mechanism, we will prepare dyes of various emission wavelengths that blink in a controlled way. These dyes will allow us to perform, for the first time, super-resolution, multicolor, time-lapse imaging of live specimens over long time. Initial studies will focus on tracking a transcription factor that migrates from the endoplasmic reticulum to the nucleus to initiate a cellular stress response upon protein misfolding. These studies will provide spatiotemporal details of this important translocation, which takes more than one hour to occur and its observation at the single-molecule level is intractable with current super-resolution methods
Summary
In this proposal, we introduce two new families of probes for live-cell super-resolution microscopy. The first class comprises small-molecule fluorescent sensors for detecting short-lived, small signaling molecules and active enzymes with single-molecule resolution. The spatiotemporal confinement of biological reactive molecules has been hypothesized to regulate various pathological and physiological processes, but the lack of tools to observe directly these microdomains of biochemical activity has precluded the investigation of these mechanisms. The ability to detect small signaling agents and active enzymes with nanometric resolution in intact live specimens will allow us to study the role of compartmentalization in intracellular signaling at an unprecedented resolution. Our studies will focus on detecting elusive reactive oxygen and nitrogen species directly at their sites of endogenous production. We will also investigate the subcellular distribution of protease activity, focusing on its role in non-apoptotic signaling.
The second class of probes encompasses a palette of fluorescent dyes that switch continuously between dark and emissive forms. This dynamic equilibrium will enable the localization of single molecules in a densely labeled field without the need to apply toxic light for photoactivation. Based on a novel switching mechanism, we will prepare dyes of various emission wavelengths that blink in a controlled way. These dyes will allow us to perform, for the first time, super-resolution, multicolor, time-lapse imaging of live specimens over long time. Initial studies will focus on tracking a transcription factor that migrates from the endoplasmic reticulum to the nucleus to initiate a cellular stress response upon protein misfolding. These studies will provide spatiotemporal details of this important translocation, which takes more than one hour to occur and its observation at the single-molecule level is intractable with current super-resolution methods
Max ERC Funding
1 498 125 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym Hi-SENS
Project Surface Enhanced NMR Spectroscopy
Researcher (PI) David Lyndon Emsley
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Advanced Grant (AdG), PE4, ERC-2012-ADG_20120216
Summary The ability to determine molecular structures from single crystals by diffraction methods has transformed science. However, if the system under investigation is located at a surface, the problem of structure elucidation is largely unsolved. Due to the increasing frequency with which such samples are encountered, particularly in the area of new materials for energy and catalysis, there is a critical need for the development of new methods for structure characterization of surfaces.
Nuclear magnetic resonance (NMR) spectroscopy would be the method of choice for characterizing surfaces were it not that the detection limit is far too low to allow many modern materials to be examined. The sensitivity of NMR thus poses the major limitation to surface characterization.
We recently introduced a new approach using Dynamic Nuclear Polarization (DNP) to enhance surface NMR signals. The project will capitalize on this new concept and develop DNP surface enhanced NMR spectroscopy (DNP SENS) through a series of new concepts to address the following challenges: (i) to characterize materials with surface areas three orders of magnitude lower than currently, specifically to detect surface NMR signals from materials with surface areas of ~1 m2/g, rather than ~1000 m2/g today; and (ii) to determine structure-activity relationships in advanced functional materials, specifically by developing NMR correlation methods capable of determining structure and dynamics of surface species in conjunction with DNP SENS.
These objectives require a gain in DNP SENS sensitivity of three orders of magnitude, and we propose to do this through innovative NMR experiments, better DNP enhancements, isotopic labeling, and high magnetic fields. The approaches go well beyond the frontier of current research.
The project will yield a broadly applicable method for structural characterization of complex surfaces not previously available by any other approach, resulting in new chemistry and chemical processes.
Summary
The ability to determine molecular structures from single crystals by diffraction methods has transformed science. However, if the system under investigation is located at a surface, the problem of structure elucidation is largely unsolved. Due to the increasing frequency with which such samples are encountered, particularly in the area of new materials for energy and catalysis, there is a critical need for the development of new methods for structure characterization of surfaces.
Nuclear magnetic resonance (NMR) spectroscopy would be the method of choice for characterizing surfaces were it not that the detection limit is far too low to allow many modern materials to be examined. The sensitivity of NMR thus poses the major limitation to surface characterization.
We recently introduced a new approach using Dynamic Nuclear Polarization (DNP) to enhance surface NMR signals. The project will capitalize on this new concept and develop DNP surface enhanced NMR spectroscopy (DNP SENS) through a series of new concepts to address the following challenges: (i) to characterize materials with surface areas three orders of magnitude lower than currently, specifically to detect surface NMR signals from materials with surface areas of ~1 m2/g, rather than ~1000 m2/g today; and (ii) to determine structure-activity relationships in advanced functional materials, specifically by developing NMR correlation methods capable of determining structure and dynamics of surface species in conjunction with DNP SENS.
These objectives require a gain in DNP SENS sensitivity of three orders of magnitude, and we propose to do this through innovative NMR experiments, better DNP enhancements, isotopic labeling, and high magnetic fields. The approaches go well beyond the frontier of current research.
The project will yield a broadly applicable method for structural characterization of complex surfaces not previously available by any other approach, resulting in new chemistry and chemical processes.
Max ERC Funding
3 449 400 €
Duration
Start date: 2013-01-01, End date: 2017-12-31
Project acronym HY-CAT
Project Multifunctional Hybrid Platforms based on Colloidal Nanocrystals to Advance CO2 Conversion Studies
Researcher (PI) Raffaella BUONSANTI
Host Institution (HI) ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Call Details Starting Grant (StG), PE5, ERC-2016-STG
Summary In reimagining the world’s energy future, while researchers are seeking alternative ways to produce energy, our current dependence on fossil fuels requires us to capture and store the CO2 to prevent reaching unacceptable CO2 levels in the atmosphere. In this scenario, recycling CO2 by converting it into useful chemicals, such as fuels for transportation, represents an important research area as it will eventually lead to independence from fossil fuels and petroleum. While much progress has been made, this emerging field is challenged by huge technical and scientific questions. The intrinsic thermodynamic stability of the CO2 molecule, combined with slow multi-electron transfer kinetics, makes its reduction exceedingly energetically demanding. Hy-Cat aims to develop novel material platforms to investigate different chemical paths that promote electrochemical CO2 reduction and direct product selectivity. We will synthesize hybrid materials comprising atomically defined CO2 sorbents and nanocrystalline CO2 catalysts intimately bound in a single integrated system. Three different classes of hybrids, each characterized by one specific absorption/pre-activation mechanism, will allow to investigate the effect of each mechanism on the catalyst activity. A key component of the research will be to develop synthetic schemes to access these multifunctional systems with an unprecedented level of control across multiple lengthscales. This control and the intrinsic tunability of the chosen building blocks will allow us to methodically compare structure and activity, so to determine the design principles upon which better catalysts can be made. We will argue that this understanding is required to remove the main bottlenecks towards efficient and selective catalysts to convert CO2 into useful products, such hydrocarbons. Hy-Cat is highly multidisciplinary and its scientific outcome will positively impact several other research fields in chemistry, materials science and engineering.
Summary
In reimagining the world’s energy future, while researchers are seeking alternative ways to produce energy, our current dependence on fossil fuels requires us to capture and store the CO2 to prevent reaching unacceptable CO2 levels in the atmosphere. In this scenario, recycling CO2 by converting it into useful chemicals, such as fuels for transportation, represents an important research area as it will eventually lead to independence from fossil fuels and petroleum. While much progress has been made, this emerging field is challenged by huge technical and scientific questions. The intrinsic thermodynamic stability of the CO2 molecule, combined with slow multi-electron transfer kinetics, makes its reduction exceedingly energetically demanding. Hy-Cat aims to develop novel material platforms to investigate different chemical paths that promote electrochemical CO2 reduction and direct product selectivity. We will synthesize hybrid materials comprising atomically defined CO2 sorbents and nanocrystalline CO2 catalysts intimately bound in a single integrated system. Three different classes of hybrids, each characterized by one specific absorption/pre-activation mechanism, will allow to investigate the effect of each mechanism on the catalyst activity. A key component of the research will be to develop synthetic schemes to access these multifunctional systems with an unprecedented level of control across multiple lengthscales. This control and the intrinsic tunability of the chosen building blocks will allow us to methodically compare structure and activity, so to determine the design principles upon which better catalysts can be made. We will argue that this understanding is required to remove the main bottlenecks towards efficient and selective catalysts to convert CO2 into useful products, such hydrocarbons. Hy-Cat is highly multidisciplinary and its scientific outcome will positively impact several other research fields in chemistry, materials science and engineering.
Max ERC Funding
1 420 648 €
Duration
Start date: 2017-01-01, End date: 2021-12-31
Project acronym ImagiDem
Project Imagi(ni)ng Democracy: European youth becoming citizens by visual participation
Researcher (PI) Eeva LUHTAKALLIO
Host Institution (HI) TAMPEREEN KORKEAKOULUSAATIO SR
Call Details Starting Grant (StG), SH2, ERC-2018-STG
Summary The current political and institutional crises render the future of European democracy uncertain. To gain deeper insights into what the current discontent may lead to, and how to address it for the good of an equal and inclusive democracy, we have to study future political actors, today’s young citizens, and examine what are the means of political action prevalent to them. The public sphere of today’s youth is increasingly dominated by visual content, and therefore the visual dimension of political participation is to be a key concern in research thereof. The current youth’s understanding of political action – building arguments, mobilizing, and participating – is likely to become firmly anchored in repertoires of visual participation. ImagiDem will explore, analyze, and conceptualize visual participation of young European citizens in order to formulate a model of democratic practices in the 2020s.
ImagiDem addresses visual political participation and democratic practices among young citizens in the European context using a radical triple-strategy: it combines visual ethnography with computational big data minining and analysis, and deploys this combination to a comparative research setting. The project design includes four countries of comparison – Finland, France, Germany, and Portugal – with both an ethnographic and a computational subproject realized in each of them. Both methodological approaches – comparative online ethnography, and computational, machine learning based analysis of large sets of social media image data – are risky and hitherto scarcely explored.
The theoretical challenge ImagiDem takes is to develop pragmatist theorizing of visual justification and engagements on the one hand, and visual cultural toolkits and frames, on the other. With this methodologico-theoretical toolkit, ImagiDem provides overarching analysis of the future of European democracy.
Summary
The current political and institutional crises render the future of European democracy uncertain. To gain deeper insights into what the current discontent may lead to, and how to address it for the good of an equal and inclusive democracy, we have to study future political actors, today’s young citizens, and examine what are the means of political action prevalent to them. The public sphere of today’s youth is increasingly dominated by visual content, and therefore the visual dimension of political participation is to be a key concern in research thereof. The current youth’s understanding of political action – building arguments, mobilizing, and participating – is likely to become firmly anchored in repertoires of visual participation. ImagiDem will explore, analyze, and conceptualize visual participation of young European citizens in order to formulate a model of democratic practices in the 2020s.
ImagiDem addresses visual political participation and democratic practices among young citizens in the European context using a radical triple-strategy: it combines visual ethnography with computational big data minining and analysis, and deploys this combination to a comparative research setting. The project design includes four countries of comparison – Finland, France, Germany, and Portugal – with both an ethnographic and a computational subproject realized in each of them. Both methodological approaches – comparative online ethnography, and computational, machine learning based analysis of large sets of social media image data – are risky and hitherto scarcely explored.
The theoretical challenge ImagiDem takes is to develop pragmatist theorizing of visual justification and engagements on the one hand, and visual cultural toolkits and frames, on the other. With this methodologico-theoretical toolkit, ImagiDem provides overarching analysis of the future of European democracy.
Max ERC Funding
1 474 594 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym INCLUDE
Project Indigenous Communities, Land Use and Tropical Deforestation
Researcher (PI) Michele Graziano Ceddia
Host Institution (HI) UNIVERSITAET BERN
Call Details Consolidator Grant (CoG), SH3, ERC-2015-CoG
Summary Tropical deforestation is an important contributor to climate change, through the release of significant amounts of carbon in the atmosphere. The main proximate cause of deforestation in tropical regions is agricultural expansion, followed by timber extraction. The general objective of this research is to understand how the interaction of technological, environmental, economic and social factors influence land use dynamics, including household decisions, about agricultural expansion and resource extraction in sensitive tropical regions. More specific questions relate to the role of various governance structures, particularly those recognizing common property regimes of land tenure to indigenous and rural communities, and the deliberative evaluation about the opportunity of reforming such structures in order to reduce deforestation and forest degradation. Although such aspects have been addressed in a variety of contexts, the approach proposed here is novel as a) it explicitly models the interaction between institutional, environmental, technological and socio-economic factors at different spatio-temporal scales, b) it specifically focuses on the governance structures associated with different land tenure regimes through the lenses of Social Network Analysis (SNA), c) uses a Q-methodology framework to develop a participatory approach to study stakeholders’ perspectives and attitudes on the necessary governance interventions to prevent deforestation and forest degradation and d) it assesses the relationships between agricultural expansion, deforestation, governance structures and stakeholders’ attitudes, with particular attention to the sensitivity of household land use decisions and resource extraction. In order to meet the research objectives, this project will focus on the province of Salta in the dry Chaco in North-Western Argentina, a region characterized by high rates of land cover change and the presence of indigenous/rural communities.
Summary
Tropical deforestation is an important contributor to climate change, through the release of significant amounts of carbon in the atmosphere. The main proximate cause of deforestation in tropical regions is agricultural expansion, followed by timber extraction. The general objective of this research is to understand how the interaction of technological, environmental, economic and social factors influence land use dynamics, including household decisions, about agricultural expansion and resource extraction in sensitive tropical regions. More specific questions relate to the role of various governance structures, particularly those recognizing common property regimes of land tenure to indigenous and rural communities, and the deliberative evaluation about the opportunity of reforming such structures in order to reduce deforestation and forest degradation. Although such aspects have been addressed in a variety of contexts, the approach proposed here is novel as a) it explicitly models the interaction between institutional, environmental, technological and socio-economic factors at different spatio-temporal scales, b) it specifically focuses on the governance structures associated with different land tenure regimes through the lenses of Social Network Analysis (SNA), c) uses a Q-methodology framework to develop a participatory approach to study stakeholders’ perspectives and attitudes on the necessary governance interventions to prevent deforestation and forest degradation and d) it assesses the relationships between agricultural expansion, deforestation, governance structures and stakeholders’ attitudes, with particular attention to the sensitivity of household land use decisions and resource extraction. In order to meet the research objectives, this project will focus on the province of Salta in the dry Chaco in North-Western Argentina, a region characterized by high rates of land cover change and the presence of indigenous/rural communities.
Max ERC Funding
1 952 183 €
Duration
Start date: 2016-11-01, End date: 2021-10-31