Project acronym ABIONYS
Project Artificial Enzyme Modules as Tools in a Tailor-made Biosynthesis
Researcher (PI) Jan DESKA
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Country Finland
Call Details Consolidator Grant (CoG), PE5, ERC-2019-COG
Summary In order to tackle some of the prime societal challenges of this century, science has to urgently provide effective tools addressing the redesign of chemical value chains through the exploitation of novel, bio-based raw materials, and the discovery and implementation of more resource-efficient production platforms. Nature will inevitably play a pivotal role in the imminent transformation of industrial strategies, and the recent bioeconomy approaches can only be regarded as initial step towards a sustainable future. Operating at the interface between chemistry and life sciences, my ABIONYS will fundamentally challenge the widely held distinction separating chemical from biosynthesis, and will deliver the first proof-of-concept where abiotic reactions act as productive puzzle pieces in biosynthetic arrangements. On the basis of our previous ground-breaking discoveries on artificial enzyme functions, I will create a significantly extended toolbox of biocatalysis modules by applying protein-based interpretations of synthetically crucial but non-natural reactions i.e. transformations that are in no way biosynthetically encoded in living organisms. My research will exploit these tools in multi-enzyme cascades for the preparation of complex organic target structures, not only to highlight the great synthetic potential of these approaches, but also to lay the groundwork for in vivo implementations. Eventually, the knowledge gathered from enzyme discovery and cascade design will enable to create an unprecedented class of bioproduction systems, where the genetic incorporation of artificial enzyme functions into recombinant microbial host organisms will yield tailor-made cellular factories. Combining classical organic synthesis strategies with the power of modern biotechnology, ABIONYS is going to transform the way we synthesize complex and functional building blocks by allowing us to encode organic chemistry thinking into living production platforms.
Summary
In order to tackle some of the prime societal challenges of this century, science has to urgently provide effective tools addressing the redesign of chemical value chains through the exploitation of novel, bio-based raw materials, and the discovery and implementation of more resource-efficient production platforms. Nature will inevitably play a pivotal role in the imminent transformation of industrial strategies, and the recent bioeconomy approaches can only be regarded as initial step towards a sustainable future. Operating at the interface between chemistry and life sciences, my ABIONYS will fundamentally challenge the widely held distinction separating chemical from biosynthesis, and will deliver the first proof-of-concept where abiotic reactions act as productive puzzle pieces in biosynthetic arrangements. On the basis of our previous ground-breaking discoveries on artificial enzyme functions, I will create a significantly extended toolbox of biocatalysis modules by applying protein-based interpretations of synthetically crucial but non-natural reactions i.e. transformations that are in no way biosynthetically encoded in living organisms. My research will exploit these tools in multi-enzyme cascades for the preparation of complex organic target structures, not only to highlight the great synthetic potential of these approaches, but also to lay the groundwork for in vivo implementations. Eventually, the knowledge gathered from enzyme discovery and cascade design will enable to create an unprecedented class of bioproduction systems, where the genetic incorporation of artificial enzyme functions into recombinant microbial host organisms will yield tailor-made cellular factories. Combining classical organic synthesis strategies with the power of modern biotechnology, ABIONYS is going to transform the way we synthesize complex and functional building blocks by allowing us to encode organic chemistry thinking into living production platforms.
Max ERC Funding
1 995 707 €
Duration
Start date: 2020-11-01, End date: 2025-10-31
Project acronym Active-DNA
Project Computationally Active DNA Nanostructures
Researcher (PI) Damien WOODS
Host Institution (HI) NATIONAL UNIVERSITY OF IRELAND MAYNOOTH
Country Ireland
Call Details Consolidator Grant (CoG), PE6, ERC-2017-COG
Summary During the 20th century computer technology evolved from bulky, slow, special purpose mechanical engines to the now ubiquitous silicon chips and software that are one of the pinnacles of human ingenuity. The goal of the field of molecular programming is to take the next leap and build a new generation of matter-based computers using DNA, RNA and proteins. This will be accomplished by computer scientists, physicists and chemists designing molecules to execute ``wet'' nanoscale programs in test tubes. The workflow includes proposing theoretical models, mathematically proving their computational properties, physical modelling and implementation in the wet-lab.
The past decade has seen remarkable progress at building static 2D and 3D DNA nanostructures. However, unlike biological macromolecules and complexes that are built via specified self-assembly pathways, that execute robotic-like movements, and that undergo evolution, the activity of human-engineered nanostructures is severely limited. We will need sophisticated algorithmic ideas to build structures that rival active living systems. Active-DNA, aims to address this challenge by achieving a number of objectives on computation, DNA-based self-assembly and molecular robotics. Active-DNA research work will range from defining models and proving theorems that characterise the computational and expressive capabilities of such active programmable materials to experimental work implementing active DNA nanostructures in the wet-lab.
Summary
During the 20th century computer technology evolved from bulky, slow, special purpose mechanical engines to the now ubiquitous silicon chips and software that are one of the pinnacles of human ingenuity. The goal of the field of molecular programming is to take the next leap and build a new generation of matter-based computers using DNA, RNA and proteins. This will be accomplished by computer scientists, physicists and chemists designing molecules to execute ``wet'' nanoscale programs in test tubes. The workflow includes proposing theoretical models, mathematically proving their computational properties, physical modelling and implementation in the wet-lab.
The past decade has seen remarkable progress at building static 2D and 3D DNA nanostructures. However, unlike biological macromolecules and complexes that are built via specified self-assembly pathways, that execute robotic-like movements, and that undergo evolution, the activity of human-engineered nanostructures is severely limited. We will need sophisticated algorithmic ideas to build structures that rival active living systems. Active-DNA, aims to address this challenge by achieving a number of objectives on computation, DNA-based self-assembly and molecular robotics. Active-DNA research work will range from defining models and proving theorems that characterise the computational and expressive capabilities of such active programmable materials to experimental work implementing active DNA nanostructures in the wet-lab.
Max ERC Funding
2 349 603 €
Duration
Start date: 2018-11-01, End date: 2023-10-31
Project acronym ANTILEAK
Project Development of antagonists of vascular leakage
Researcher (PI) Pipsa SAHARINEN
Host Institution (HI) HELSINGIN YLIOPISTO
Country Finland
Call Details Consolidator Grant (CoG), LS4, ERC-2017-COG
Summary Dysregulation of capillary permeability is a severe problem in critically ill patients, but the mechanisms involved are poorly understood. Further, there are no targeted therapies to stabilize leaky vessels in various common, potentially fatal diseases, such as systemic inflammation and sepsis, which affect millions of people annually. Although a multitude of signals that stimulate opening of endothelial cell-cell junctions leading to permeability have been characterized using cellular and in vivo models, approaches to reverse the harmful process of capillary leakage in disease conditions are yet to be identified. I propose to explore a novel autocrine endothelial permeability regulatory system as a potentially universal mechanism that antagonizes vascular stabilizing ques and sustains vascular leakage in inflammation. My group has identified inflammation-induced mechanisms that switch vascular stabilizing factors into molecules that destabilize vascular barriers, and identified tools to prevent the barrier disruption. Building on these discoveries, my group will use mouse genetics, structural biology and innovative, systematic antibody development coupled with gene editing and gene silencing technology, in order to elucidate mechanisms of vascular barrier breakdown and repair in systemic inflammation. The expected outcomes include insights into endothelial cell signaling and permeability regulation, and preclinical proof-of-concept antibodies to control endothelial activation and vascular leakage in systemic inflammation and sepsis models. Ultimately, the new knowledge and preclinical tools developed in this project may facilitate future development of targeted approaches against vascular leakage.
Summary
Dysregulation of capillary permeability is a severe problem in critically ill patients, but the mechanisms involved are poorly understood. Further, there are no targeted therapies to stabilize leaky vessels in various common, potentially fatal diseases, such as systemic inflammation and sepsis, which affect millions of people annually. Although a multitude of signals that stimulate opening of endothelial cell-cell junctions leading to permeability have been characterized using cellular and in vivo models, approaches to reverse the harmful process of capillary leakage in disease conditions are yet to be identified. I propose to explore a novel autocrine endothelial permeability regulatory system as a potentially universal mechanism that antagonizes vascular stabilizing ques and sustains vascular leakage in inflammation. My group has identified inflammation-induced mechanisms that switch vascular stabilizing factors into molecules that destabilize vascular barriers, and identified tools to prevent the barrier disruption. Building on these discoveries, my group will use mouse genetics, structural biology and innovative, systematic antibody development coupled with gene editing and gene silencing technology, in order to elucidate mechanisms of vascular barrier breakdown and repair in systemic inflammation. The expected outcomes include insights into endothelial cell signaling and permeability regulation, and preclinical proof-of-concept antibodies to control endothelial activation and vascular leakage in systemic inflammation and sepsis models. Ultimately, the new knowledge and preclinical tools developed in this project may facilitate future development of targeted approaches against vascular leakage.
Max ERC Funding
1 999 770 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym ASTROFLOW
Project The influence of stellar outflows on exoplanetary mass loss
Researcher (PI) Aline VIDOTTO
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Country Ireland
Call Details Consolidator Grant (CoG), PE9, ERC-2018-COG
Summary ASTROFLOW aims to make ground-breaking progress in our physical understanding of exoplanetary mass loss, by quantifying the influence of stellar outflows on atmospheric escape of close-in exoplanets. Escape plays a key role in planetary evolution, population, and potential to develop life. Stellar irradiation and outflows affect planetary mass loss: irradiation heats planetary atmospheres, which inflate and more likely escape; outflows cause pressure confinement around otherwise freely escaping atmospheres. This external pressure can increase, reduce or even suppress escape rates; its effects on exoplanetary mass loss remain largely unexplored due to the complexity of such interactions. I will fill this knowledge gap by developing a novel modelling framework of atmospheric escape that will, for the first time, consider the effects of realistic stellar outflows on exoplanetary mass loss. My expertise in stellar wind theory and 3D magnetohydrodynamic simulations is crucial for producing the next-generation models of planetary escape. My framework will consist of state-of-the-art, time-dependent, 3D simulations of stellar outflows (Method 1), which will be coupled to novel 3D simulations of atmospheric escape (Method 2). My models will account for the major underlying physical processes of mass loss. With this, I will determine the response of planetary mass loss to realistic stellar particle, magnetic and radiation environments and will characterise the physical conditions of the escaping material. I will compute how its extinction varies during transit and compare synthetic line profiles to atmospheric escape observations from, eg, Hubble and our NASA cubesat CUTE. Strong synergy with upcoming observations (JWST, TESS, SPIRou, CARMENES) also exists. Determining the lifetime of planetary atmospheres is essential to understanding populations of exoplanets. ASTROFLOW’s work will be the foundation for future research of how exoplanets evolve under mass-loss processes.
Summary
ASTROFLOW aims to make ground-breaking progress in our physical understanding of exoplanetary mass loss, by quantifying the influence of stellar outflows on atmospheric escape of close-in exoplanets. Escape plays a key role in planetary evolution, population, and potential to develop life. Stellar irradiation and outflows affect planetary mass loss: irradiation heats planetary atmospheres, which inflate and more likely escape; outflows cause pressure confinement around otherwise freely escaping atmospheres. This external pressure can increase, reduce or even suppress escape rates; its effects on exoplanetary mass loss remain largely unexplored due to the complexity of such interactions. I will fill this knowledge gap by developing a novel modelling framework of atmospheric escape that will, for the first time, consider the effects of realistic stellar outflows on exoplanetary mass loss. My expertise in stellar wind theory and 3D magnetohydrodynamic simulations is crucial for producing the next-generation models of planetary escape. My framework will consist of state-of-the-art, time-dependent, 3D simulations of stellar outflows (Method 1), which will be coupled to novel 3D simulations of atmospheric escape (Method 2). My models will account for the major underlying physical processes of mass loss. With this, I will determine the response of planetary mass loss to realistic stellar particle, magnetic and radiation environments and will characterise the physical conditions of the escaping material. I will compute how its extinction varies during transit and compare synthetic line profiles to atmospheric escape observations from, eg, Hubble and our NASA cubesat CUTE. Strong synergy with upcoming observations (JWST, TESS, SPIRou, CARMENES) also exists. Determining the lifetime of planetary atmospheres is essential to understanding populations of exoplanets. ASTROFLOW’s work will be the foundation for future research of how exoplanets evolve under mass-loss processes.
Max ERC Funding
1 999 956 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym CAVITYQPD
Project Cavity quantum phonon dynamics
Researcher (PI) Mika Antero Sillanpaeae
Host Institution (HI) AALTO KORKEAKOULUSAATIO SR
Country Finland
Call Details Consolidator Grant (CoG), PE3, ERC-2013-CoG
Summary "Large bodies usually follow the classical equations of motion. Deviations from this can be called
macroscopic quantum behavior. These phenomena have been experimentally verified with cavity Quantum
Electro Dynamics (QED), trapped ions, and superconducting Josephson junction systems. Recently, evidence
was obtained that also moving objects can display such behavior. These objects are micromechanical
resonators (MR), which can measure tens of microns in size and are hence quite macroscopic. The degree of
freedom is their vibrations: phonons.
I propose experimental research in order to push quantum mechanics closer to the classical world than ever
before. I will try find quantum behavior in the most classical objects, that is, slowly moving bodies. I will use
MR's, accessed via electrical resonators. Part of it will be in analogy to the previously studied macroscopic
systems, but with photons replaced by phonons. The experiments are done in a cryogenic temperature mostly
in dilution refrigerator. The work will open up new perspectives on how nature works, and can have
technological implications.
The first basic setup is the coupling of MR to microwave cavity resonators. This is a direct analogy to
optomechanics, and can be called circuit optomechanics. The goals will be phonon state transfer via a cavity
bus, construction of squeezed states and of phonon-cavity entanglement. The second setup is to boost the
optomechanical coupling with a Josephson junction system, and reach the single-phonon strong-coupling for
the first time. The third setup is the coupling of MR to a Josephson junction artificial atom. Here we will
access the MR same way as the motion of a trapped ions is coupled to their internal transitions. In this setup,
I am proposing to construct exotic quantum states of motion, and finally entangle and transfer phonons over
mm-distance via cavity-coupled qubits. I believe within the project it is possible to perform rudimentary Bell
measurement with phonons."
Summary
"Large bodies usually follow the classical equations of motion. Deviations from this can be called
macroscopic quantum behavior. These phenomena have been experimentally verified with cavity Quantum
Electro Dynamics (QED), trapped ions, and superconducting Josephson junction systems. Recently, evidence
was obtained that also moving objects can display such behavior. These objects are micromechanical
resonators (MR), which can measure tens of microns in size and are hence quite macroscopic. The degree of
freedom is their vibrations: phonons.
I propose experimental research in order to push quantum mechanics closer to the classical world than ever
before. I will try find quantum behavior in the most classical objects, that is, slowly moving bodies. I will use
MR's, accessed via electrical resonators. Part of it will be in analogy to the previously studied macroscopic
systems, but with photons replaced by phonons. The experiments are done in a cryogenic temperature mostly
in dilution refrigerator. The work will open up new perspectives on how nature works, and can have
technological implications.
The first basic setup is the coupling of MR to microwave cavity resonators. This is a direct analogy to
optomechanics, and can be called circuit optomechanics. The goals will be phonon state transfer via a cavity
bus, construction of squeezed states and of phonon-cavity entanglement. The second setup is to boost the
optomechanical coupling with a Josephson junction system, and reach the single-phonon strong-coupling for
the first time. The third setup is the coupling of MR to a Josephson junction artificial atom. Here we will
access the MR same way as the motion of a trapped ions is coupled to their internal transitions. In this setup,
I am proposing to construct exotic quantum states of motion, and finally entangle and transfer phonons over
mm-distance via cavity-coupled qubits. I believe within the project it is possible to perform rudimentary Bell
measurement with phonons."
Max ERC Funding
2 004 283 €
Duration
Start date: 2015-01-01, End date: 2019-12-31
Project acronym CGCglasmaQGP
Project The nonlinear high energy regime of Quantum Chromodynamics
Researcher (PI) Tuomas Veli Valtteri Lappi
Host Institution (HI) JYVASKYLAN YLIOPISTO
Country Finland
Call Details Consolidator Grant (CoG), PE2, ERC-2015-CoG
Summary "This proposal concentrates on Quantum Chromodynamics (QCD) in its least well understood "final frontier": the high energy limit. The aim is to treat the formation of quark gluon plasma in relativistic nuclear collisions together with other high energy processes in a consistent QCD framework. This project is topical now in order to fully understand the results from the maturing LHC heavy ion program. The high energy regime is characterized by a high density of gluons, whose nonlinear interactions are beyond the reach of simple perturbative calculations. High energy particles also propagate nearly on the light cone, unaccessible to Euclidean lattice calculations. The nonlinear interactions at high density lead to the phenomenon of gluon saturation. The emergence of the "saturation scale", a semihard typical transverse momentum, enables a weak coupling expansion around a nonperturbatively large color field. This project aims to make progress both in collider phenomenology and in more conceptual aspects of nonabelian gauge field dynamics at high energy density:
1. Significant advances towards higher order accuracy will be made in cross section calculations for processes where a dilute probe collides with the strong color field of a high energy nucleus.
2. The quantum fluctuations around the strong color fields in the initial stages of a relativistic heavy ion collision will be analyzed with a new numerical method based on an explicit linearization of the equations of motion, maintaining a well defined weak coupling limit.
3. Initial conditions for fluid dynamical descriptions of the quark gluon plasma phase in heavy ion collisions will be obtained from a constrained QCD calculation.
We propose to achieve these goals with modern analytical and numerical methods, on which the P.I. is a leading expert. This project would represent a leap in the field towards better quantitative first principles understanding of QCD in a new kinematical domain."
Summary
"This proposal concentrates on Quantum Chromodynamics (QCD) in its least well understood "final frontier": the high energy limit. The aim is to treat the formation of quark gluon plasma in relativistic nuclear collisions together with other high energy processes in a consistent QCD framework. This project is topical now in order to fully understand the results from the maturing LHC heavy ion program. The high energy regime is characterized by a high density of gluons, whose nonlinear interactions are beyond the reach of simple perturbative calculations. High energy particles also propagate nearly on the light cone, unaccessible to Euclidean lattice calculations. The nonlinear interactions at high density lead to the phenomenon of gluon saturation. The emergence of the "saturation scale", a semihard typical transverse momentum, enables a weak coupling expansion around a nonperturbatively large color field. This project aims to make progress both in collider phenomenology and in more conceptual aspects of nonabelian gauge field dynamics at high energy density:
1. Significant advances towards higher order accuracy will be made in cross section calculations for processes where a dilute probe collides with the strong color field of a high energy nucleus.
2. The quantum fluctuations around the strong color fields in the initial stages of a relativistic heavy ion collision will be analyzed with a new numerical method based on an explicit linearization of the equations of motion, maintaining a well defined weak coupling limit.
3. Initial conditions for fluid dynamical descriptions of the quark gluon plasma phase in heavy ion collisions will be obtained from a constrained QCD calculation.
We propose to achieve these goals with modern analytical and numerical methods, on which the P.I. is a leading expert. This project would represent a leap in the field towards better quantitative first principles understanding of QCD in a new kinematical domain."
Max ERC Funding
1 935 000 €
Duration
Start date: 2016-10-01, End date: 2021-09-30
Project acronym CIPHER
Project CIPHER: Hip Hop Interpellation (Le Conseil International pour Hip Hop et Recherche / The International Council for Hip Hop Studies)
Researcher (PI) J. Griffith ROLLEFSON
Host Institution (HI) UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK
Country Ireland
Call Details Consolidator Grant (CoG), SH5, ERC-2018-COG
Summary CIPHER will launch the global research initiative, Hip Hop Interpellation, pilot a new semantic digital/ethnographic web methodology, and codify the emergent discipline of global hip hop studies. It addresses the central question: why has this highly localized and authenticizing African American music translated so easily to far-flung communities and contexts around the globe? Through this specific question the project attempts to understand the foundational and broadly transferable question: how are globalization and localization related? To answer these questions CIPHER posits the Hip Hop Interpellation thesis, that hip hop spreads not as a copy of an African American original, but, through its performance of knowledge, emerges as an always already constituent part of local knowledge and practice. The theorization thus moves beyond the “hailing practices” described by Althusser’s theory of interpellation—the discursive webs that coerce ideological incorporation—to describing an interpolation that locates other histories within and through hip hop’s performed knowledges.
CIPHER’s semantic web methodology tests this thesis, tracking how hip hop memes—slogans, anthems, and icons—are simultaneously produced by people and produce people. This research clears the conceptual impasse of structural “cultural imperialism” vs. agentic “cultural appropriation” debates and instrumentalizes the methodological distance between ethnographic specificity and big data generality. It does so by creating a feedback loop between digital humanities methods (crowd sourcing, semantic tagging, computational stylometry) and ethnographic fieldwork techniques (interviews, musical analysis, participant observation). The result will be an iterative map of Hip Hop Interpellation/Interpolation created by stakeholders that is transformational of our understanding of culture and/as cultural production and transferable to pressing questions about globalization and l’exception culturelle.
Summary
CIPHER will launch the global research initiative, Hip Hop Interpellation, pilot a new semantic digital/ethnographic web methodology, and codify the emergent discipline of global hip hop studies. It addresses the central question: why has this highly localized and authenticizing African American music translated so easily to far-flung communities and contexts around the globe? Through this specific question the project attempts to understand the foundational and broadly transferable question: how are globalization and localization related? To answer these questions CIPHER posits the Hip Hop Interpellation thesis, that hip hop spreads not as a copy of an African American original, but, through its performance of knowledge, emerges as an always already constituent part of local knowledge and practice. The theorization thus moves beyond the “hailing practices” described by Althusser’s theory of interpellation—the discursive webs that coerce ideological incorporation—to describing an interpolation that locates other histories within and through hip hop’s performed knowledges.
CIPHER’s semantic web methodology tests this thesis, tracking how hip hop memes—slogans, anthems, and icons—are simultaneously produced by people and produce people. This research clears the conceptual impasse of structural “cultural imperialism” vs. agentic “cultural appropriation” debates and instrumentalizes the methodological distance between ethnographic specificity and big data generality. It does so by creating a feedback loop between digital humanities methods (crowd sourcing, semantic tagging, computational stylometry) and ethnographic fieldwork techniques (interviews, musical analysis, participant observation). The result will be an iterative map of Hip Hop Interpellation/Interpolation created by stakeholders that is transformational of our understanding of culture and/as cultural production and transferable to pressing questions about globalization and l’exception culturelle.
Max ERC Funding
1 990 526 €
Duration
Start date: 2019-08-01, End date: 2024-07-31
Project acronym COMPLEX-FISH
Project Complex eco-evolutionary dynamics of aquatic ecosystems faced with human-induced and environmental stress
Researcher (PI) Anna KUPARINEN
Host Institution (HI) JYVASKYLAN YLIOPISTO
Country Finland
Call Details Consolidator Grant (CoG), LS8, ERC-2017-COG
Summary Resilience and recovery ability are key determinants of species persistence and viability in a changing world. Populations exposed to rapid environmental changes and human-induced alterations are often affected by both ecological and evolutionary processes and their interactions, that is, eco-evolutionary dynamics. The integrated perspective offered by eco-evolutionary dynamics is vital for understanding drivers of resilience and recovery of natural populations undergoing rapid changes and exposed to multiple stressors. However, the feedback mechanisms, and the ways in which evolution and phenotypic changes scale up to interacting species, communities, and ecosystems, remains poorly understood. The objective of my proposal is to bridge and close this gap by merging the fields of ecology and evolution into two interfaces of complex biological dynamics. I will do this in the context of conservation and sustainable harvesting of aquatic ecosystems. I will develop a novel mechanistic theory of eco-evolutionary ecosystem dynamics, by coupling the theory of allometric trophic networks with the theory of life-history evolution. I will analyse the eco-evolutionary dynamics of aquatic ecosystems to identify mechanisms responsible for species and ecosystem resilience and recovery ability. This will be done through systematic simulation studies and detailed analyses of three aquatic ecosystems. The project delves into the mechanisms through which anthropogenic and environmental drivers alter the eco-evolutionary dynamics of aquatic ecosystems. Mechanistic understanding of these dynamics, and their consequences to species and ecosystems, has great potential to resolve fundamental yet puzzling patterns observed in natural populations and to identify species and ecosystem properties regulating resilience and recovery ability. This will drastically change our ability to assess the risks related to current and future anthropogenic and environmental influences on aquatic ecosystems.
Summary
Resilience and recovery ability are key determinants of species persistence and viability in a changing world. Populations exposed to rapid environmental changes and human-induced alterations are often affected by both ecological and evolutionary processes and their interactions, that is, eco-evolutionary dynamics. The integrated perspective offered by eco-evolutionary dynamics is vital for understanding drivers of resilience and recovery of natural populations undergoing rapid changes and exposed to multiple stressors. However, the feedback mechanisms, and the ways in which evolution and phenotypic changes scale up to interacting species, communities, and ecosystems, remains poorly understood. The objective of my proposal is to bridge and close this gap by merging the fields of ecology and evolution into two interfaces of complex biological dynamics. I will do this in the context of conservation and sustainable harvesting of aquatic ecosystems. I will develop a novel mechanistic theory of eco-evolutionary ecosystem dynamics, by coupling the theory of allometric trophic networks with the theory of life-history evolution. I will analyse the eco-evolutionary dynamics of aquatic ecosystems to identify mechanisms responsible for species and ecosystem resilience and recovery ability. This will be done through systematic simulation studies and detailed analyses of three aquatic ecosystems. The project delves into the mechanisms through which anthropogenic and environmental drivers alter the eco-evolutionary dynamics of aquatic ecosystems. Mechanistic understanding of these dynamics, and their consequences to species and ecosystems, has great potential to resolve fundamental yet puzzling patterns observed in natural populations and to identify species and ecosystem properties regulating resilience and recovery ability. This will drastically change our ability to assess the risks related to current and future anthropogenic and environmental influences on aquatic ecosystems.
Max ERC Funding
1 999 391 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym CutLoops
Project Loop amplitudes in quantum field theory
Researcher (PI) Ruth Britto
Host Institution (HI) THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Country Ireland
Call Details Consolidator Grant (CoG), PE2, ERC-2014-CoG
Summary The traditional formulation of relativistic quantum theory is ill-equipped to handle the range of difficult computations needed to describe particle collisions at the Large Hadron Collider (LHC) within a suitable time frame. Yet, recent work shows that probability amplitudes in quantum gauge field theories, such as those describing the Standard Model and its extensions, take surprisingly simple forms. The simplicity indicates deep structure in gauge theory that has already led to dramatic computational improvements, but remains to be fully understood. For precision calculations and investigations of the deep structure of gauge theory, a comprehensive method for computing multi-loop amplitudes systematically and efficiently must be found.
The goal of this proposal is to construct a new and complete approach to computing amplitudes from a detailed understanding of their singularities, based on prior successes of so-called on-shell methods combined with the latest developments in the mathematics of Feynman integrals. Scattering processes relevant to the LHC and to formal investigations of quantum field theory will be computed within the new framework.
Summary
The traditional formulation of relativistic quantum theory is ill-equipped to handle the range of difficult computations needed to describe particle collisions at the Large Hadron Collider (LHC) within a suitable time frame. Yet, recent work shows that probability amplitudes in quantum gauge field theories, such as those describing the Standard Model and its extensions, take surprisingly simple forms. The simplicity indicates deep structure in gauge theory that has already led to dramatic computational improvements, but remains to be fully understood. For precision calculations and investigations of the deep structure of gauge theory, a comprehensive method for computing multi-loop amplitudes systematically and efficiently must be found.
The goal of this proposal is to construct a new and complete approach to computing amplitudes from a detailed understanding of their singularities, based on prior successes of so-called on-shell methods combined with the latest developments in the mathematics of Feynman integrals. Scattering processes relevant to the LHC and to formal investigations of quantum field theory will be computed within the new framework.
Max ERC Funding
1 954 065 €
Duration
Start date: 2015-10-01, End date: 2021-08-31
Project acronym DBSModel
Project Multiscale Modelling of the Neuromuscular System for Closed Loop Deep Brain Stimulation
Researcher (PI) Madeleine Mary Lowery
Host Institution (HI) UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Country Ireland
Call Details Consolidator Grant (CoG), PE7, ERC-2014-CoG
Summary Deep brain stimulation (DBS) is an effective therapy for treating the symptoms of Parkinson’s disease (PD). Despite its success, the mechanisms of DBS are not understood and there is a need to improve DBS to improve long-term stimulation in a wider patient population, limit side-effects, and extend battery life. Currently DBS operates in ‘open-loop’, with stimulus parameters empirically set. Closed-loop DBS, which adjusts parameters based on the state of the system, has the potential to overcome current limitations to increase therapeutic efficacy while reducing side-effects, costs and energy. Several key questions need to be addressed before closed loop DBS can be implemented clinically.
This research will develop a new multiscale model of the neuromuscular system for closed-loop DBS. The model will simulate neural sensing and stimulation on a scale not previously considered, encompassing the electric field around the electrode, the effect on individual neurons and neural networks, and generation of muscle force. This will involve integration across multiple temporal and spatial scales, in a complex system with incomplete knowledge of system variables. Experiments will be conducted to validate the model, and identify new biomarkers of neural activity that can used with signals from the brain to enable continuous symptom monitoring. The model will be used to design a new control strategy for closed-loop DBS that can accommodate the nonlinear nature of the system, and short- and long-term changes in system behavior.
Though challenging, this research will provide new insights into the changes that take place in PD and the mechanisms by which DBS exerts its therapeutic influence. This knowledge will be used to design a new strategy for closed-loop DBS, ready for testing in patients, with the potential to significantly improve patient outcomes in PD and fundamentally change the way in which implanted devices utilise electrical stimulation to modulate neural activity.
Summary
Deep brain stimulation (DBS) is an effective therapy for treating the symptoms of Parkinson’s disease (PD). Despite its success, the mechanisms of DBS are not understood and there is a need to improve DBS to improve long-term stimulation in a wider patient population, limit side-effects, and extend battery life. Currently DBS operates in ‘open-loop’, with stimulus parameters empirically set. Closed-loop DBS, which adjusts parameters based on the state of the system, has the potential to overcome current limitations to increase therapeutic efficacy while reducing side-effects, costs and energy. Several key questions need to be addressed before closed loop DBS can be implemented clinically.
This research will develop a new multiscale model of the neuromuscular system for closed-loop DBS. The model will simulate neural sensing and stimulation on a scale not previously considered, encompassing the electric field around the electrode, the effect on individual neurons and neural networks, and generation of muscle force. This will involve integration across multiple temporal and spatial scales, in a complex system with incomplete knowledge of system variables. Experiments will be conducted to validate the model, and identify new biomarkers of neural activity that can used with signals from the brain to enable continuous symptom monitoring. The model will be used to design a new control strategy for closed-loop DBS that can accommodate the nonlinear nature of the system, and short- and long-term changes in system behavior.
Though challenging, this research will provide new insights into the changes that take place in PD and the mechanisms by which DBS exerts its therapeutic influence. This knowledge will be used to design a new strategy for closed-loop DBS, ready for testing in patients, with the potential to significantly improve patient outcomes in PD and fundamentally change the way in which implanted devices utilise electrical stimulation to modulate neural activity.
Max ERC Funding
1 999 474 €
Duration
Start date: 2015-08-01, End date: 2021-07-31