Project acronym 3DWATERWAVES
Project Mathematical aspects of three-dimensional water waves with vorticity
Researcher (PI) Erik Torsten Wahlén
Host Institution (HI) LUNDS UNIVERSITET
Call Details Starting Grant (StG), PE1, ERC-2015-STG
Summary The goal of this project is to develop a mathematical theory for steady three-dimensional water waves with vorticity. The mathematical model consists of the incompressible Euler equations with a free surface, and vorticity is important for modelling the interaction of surface waves with non-uniform currents. In the two-dimensional case, there has been a lot of progress on water waves with vorticity in the last decade. This progress has mainly been based on the stream function formulation, in which the problem is reformulated as a nonlinear elliptic free boundary problem. An analogue of this formulation is not available in three dimensions, and the theory has therefore so far been restricted to irrotational flow. In this project we seek to go beyond this restriction using two different approaches. In the first approach we will adapt methods which have been used to construct three-dimensional ideal flows with vorticity in domains with a fixed boundary to the free boundary context (for example Beltrami flows). In the second approach we will develop methods which are new even in the case of a fixed boundary, by performing a detailed study of the structure of the equations close to a given shear flow using ideas from infinite-dimensional bifurcation theory. This involves handling infinitely many resonances.
Summary
The goal of this project is to develop a mathematical theory for steady three-dimensional water waves with vorticity. The mathematical model consists of the incompressible Euler equations with a free surface, and vorticity is important for modelling the interaction of surface waves with non-uniform currents. In the two-dimensional case, there has been a lot of progress on water waves with vorticity in the last decade. This progress has mainly been based on the stream function formulation, in which the problem is reformulated as a nonlinear elliptic free boundary problem. An analogue of this formulation is not available in three dimensions, and the theory has therefore so far been restricted to irrotational flow. In this project we seek to go beyond this restriction using two different approaches. In the first approach we will adapt methods which have been used to construct three-dimensional ideal flows with vorticity in domains with a fixed boundary to the free boundary context (for example Beltrami flows). In the second approach we will develop methods which are new even in the case of a fixed boundary, by performing a detailed study of the structure of the equations close to a given shear flow using ideas from infinite-dimensional bifurcation theory. This involves handling infinitely many resonances.
Max ERC Funding
1 203 627 €
Duration
Start date: 2016-03-01, End date: 2021-02-28
Project acronym AcetyLys
Project Unravelling the role of lysine acetylation in the regulation of glycolysis in cancer cells through the development of synthetic biology-based tools
Researcher (PI) Eyal Arbely
Host Institution (HI) BEN-GURION UNIVERSITY OF THE NEGEV
Call Details Starting Grant (StG), LS9, ERC-2015-STG
Summary Synthetic biology is an emerging discipline that offers powerful tools to control and manipulate fundamental processes in living matter. We propose to develop and apply such tools to modify the genetic code of cultured mammalian cells and bacteria with the aim to study the role of lysine acetylation in the regulation of metabolism and in cancer development. Thousands of lysine acetylation sites were recently discovered on non-histone proteins, suggesting that acetylation is a widespread and evolutionarily conserved post translational modification, similar in scope to phosphorylation and ubiquitination. Specifically, it has been found that most of the enzymes of metabolic processes—including glycolysis—are acetylated, implying that acetylation is key regulator of cellular metabolism in general and in glycolysis in particular. The regulation of metabolic pathways is of particular importance to cancer research, as misregulation of metabolic pathways, especially upregulation of glycolysis, is common to most transformed cells and is now considered a new hallmark of cancer. These data raise an immediate question: what is the role of acetylation in the regulation of glycolysis and in the metabolic reprogramming of cancer cells? While current methods rely on mutational analyses, we will genetically encode the incorporation of acetylated lysine and directly measure the functional role of each acetylation site in cancerous and non-cancerous cell lines. Using this methodology, we will study the structural and functional implications of all the acetylation sites in glycolytic enzymes. We will also decipher the mechanism by which acetylation is regulated by deacetylases and answer a long standing question – how 18 deacetylases recognise their substrates among thousands of acetylated proteins? The developed methodologies can be applied to a wide range of protein families known to be acetylated, thereby making this study relevant to diverse research fields.
Summary
Synthetic biology is an emerging discipline that offers powerful tools to control and manipulate fundamental processes in living matter. We propose to develop and apply such tools to modify the genetic code of cultured mammalian cells and bacteria with the aim to study the role of lysine acetylation in the regulation of metabolism and in cancer development. Thousands of lysine acetylation sites were recently discovered on non-histone proteins, suggesting that acetylation is a widespread and evolutionarily conserved post translational modification, similar in scope to phosphorylation and ubiquitination. Specifically, it has been found that most of the enzymes of metabolic processes—including glycolysis—are acetylated, implying that acetylation is key regulator of cellular metabolism in general and in glycolysis in particular. The regulation of metabolic pathways is of particular importance to cancer research, as misregulation of metabolic pathways, especially upregulation of glycolysis, is common to most transformed cells and is now considered a new hallmark of cancer. These data raise an immediate question: what is the role of acetylation in the regulation of glycolysis and in the metabolic reprogramming of cancer cells? While current methods rely on mutational analyses, we will genetically encode the incorporation of acetylated lysine and directly measure the functional role of each acetylation site in cancerous and non-cancerous cell lines. Using this methodology, we will study the structural and functional implications of all the acetylation sites in glycolytic enzymes. We will also decipher the mechanism by which acetylation is regulated by deacetylases and answer a long standing question – how 18 deacetylases recognise their substrates among thousands of acetylated proteins? The developed methodologies can be applied to a wide range of protein families known to be acetylated, thereby making this study relevant to diverse research fields.
Max ERC Funding
1 499 375 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
Project acronym ACO
Project The Proceedings of the Ecumenical Councils from Oral Utterance to Manuscript Edition as Evidence for Late Antique Persuasion and Self-Representation Techniques
Researcher (PI) Peter Alfred Riedlberger
Host Institution (HI) OTTO-FRIEDRICH-UNIVERSITAET BAMBERG
Call Details Starting Grant (StG), SH5, ERC-2015-STG
Summary The Acts of the Ecumenical Councils of Late Antiquity include (purportedly) verbatim minutes of the proceedings, a formal framework and copies of relevant documents which were either (allegedly) read out during the proceedings or which were later attached to the Acts proper. Despite this unusual wealth of documentary evidence, the daunting nature of the Acts demanding multidisciplinary competency, their complex structure with a matryoshka-like nesting of proceedings from different dates, and the stereotype that their contents bear only on Christological niceties have deterred generations of historians from studying them. Only in recent years have their fortunes begun to improve, but this recent research has not always been based on sound principles: the recorded proceedings of the sessions are still often accepted as verbatim minutes. Yet even a superficial reading quickly reveals widespread editorial interference. We must accept that in many cases the Acts will teach us less about the actual debates than about the editors who shaped their presentation. This does not depreciate the Acts’ evidence: on the contrary, they are first-rate material for the rhetoric of persuasion and self-representation. It is possible, in fact, to take the investigation to a deeper level and examine in what manner the oral proceedings were put into writing: several passages in the Acts comment upon the process of note-taking and the work of the shorthand writers. Thus, the main objective of the proposed research project could be described as an attempt to trace the destinies of the Acts’ texts, from the oral utterance to the manuscript texts we have today. This will include the fullest study on ancient transcript techniques to date; a structural analysis of the Acts’ texts with the aim of highlighting edited passages; and a careful comparison of the various editions of the Acts, which survive in Greek, Latin, Syriac and Coptic, in order to detect traces of editorial interference.
Summary
The Acts of the Ecumenical Councils of Late Antiquity include (purportedly) verbatim minutes of the proceedings, a formal framework and copies of relevant documents which were either (allegedly) read out during the proceedings or which were later attached to the Acts proper. Despite this unusual wealth of documentary evidence, the daunting nature of the Acts demanding multidisciplinary competency, their complex structure with a matryoshka-like nesting of proceedings from different dates, and the stereotype that their contents bear only on Christological niceties have deterred generations of historians from studying them. Only in recent years have their fortunes begun to improve, but this recent research has not always been based on sound principles: the recorded proceedings of the sessions are still often accepted as verbatim minutes. Yet even a superficial reading quickly reveals widespread editorial interference. We must accept that in many cases the Acts will teach us less about the actual debates than about the editors who shaped their presentation. This does not depreciate the Acts’ evidence: on the contrary, they are first-rate material for the rhetoric of persuasion and self-representation. It is possible, in fact, to take the investigation to a deeper level and examine in what manner the oral proceedings were put into writing: several passages in the Acts comment upon the process of note-taking and the work of the shorthand writers. Thus, the main objective of the proposed research project could be described as an attempt to trace the destinies of the Acts’ texts, from the oral utterance to the manuscript texts we have today. This will include the fullest study on ancient transcript techniques to date; a structural analysis of the Acts’ texts with the aim of highlighting edited passages; and a careful comparison of the various editions of the Acts, which survive in Greek, Latin, Syriac and Coptic, in order to detect traces of editorial interference.
Max ERC Funding
1 497 250 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym AFFORDS-HIGHER
Project Skilled Intentionality for 'Higher' Embodied Cognition: Joining forces with a field of affordances in flux
Researcher (PI) Dirk Willem Rietveld
Host Institution (HI) ACADEMISCH MEDISCH CENTRUM BIJ DE UNIVERSITEIT VAN AMSTERDAM
Call Details Starting Grant (StG), SH4, ERC-2015-STG
Summary In many situations experts act adequately, yet without deliberation. Architects e.g, immediately sense opportunities offered by the site of a new project. One could label these manifestations of expert intuition as ‘higher-level’ cognition, but still these experts act unreflectively. The aim of my project is to develop the Skilled Intentionality Framework (SIF), a new conceptual framework for the field of embodied/enactive cognitive science (Chemero, 2009; Thompson, 2007). I argue that affordances - possibilities for action provided by our surroundings - are highly significant in cases of unreflective and reflective ‘higher’ cognition. Skilled Intentionality is skilled coordination with multiple affordances simultaneously.
The two central ideas behind this proposal are (a) that episodes of skilled ‘higher’ cognition can be understood as responsiveness to affordances for ‘higher’ cognition and (b) that our surroundings are highly resourceful and contribute to skillful action and cognition in a far more fundamental way than is generally acknowledged. I use embedded philosophical research in a particular practice of architecture to shed new light on the ways in which affordances for ‘higher’ cognition support creative imagination, anticipation, explicit planning and self-reflection.
The Skilled Intentionality Framework is groundbreaking in relating findings established at several complementary levels of analysis: philosophy/phenomenology, ecological psychology, affective science and neurodynamics.
Empirical findings thought to be exclusively valid for everyday unreflective action can now be used to explain skilled ‘higher’ cognition as well. Moreover, SIF brings both the context and the social back into cognitive science. I will show SIF’s relevance for Friston’s work on the anticipating brain, and apply it in the domain of architecture and public health. SIF will radically widen the scope of the increasingly influential field of embodied cognitive science.
Summary
In many situations experts act adequately, yet without deliberation. Architects e.g, immediately sense opportunities offered by the site of a new project. One could label these manifestations of expert intuition as ‘higher-level’ cognition, but still these experts act unreflectively. The aim of my project is to develop the Skilled Intentionality Framework (SIF), a new conceptual framework for the field of embodied/enactive cognitive science (Chemero, 2009; Thompson, 2007). I argue that affordances - possibilities for action provided by our surroundings - are highly significant in cases of unreflective and reflective ‘higher’ cognition. Skilled Intentionality is skilled coordination with multiple affordances simultaneously.
The two central ideas behind this proposal are (a) that episodes of skilled ‘higher’ cognition can be understood as responsiveness to affordances for ‘higher’ cognition and (b) that our surroundings are highly resourceful and contribute to skillful action and cognition in a far more fundamental way than is generally acknowledged. I use embedded philosophical research in a particular practice of architecture to shed new light on the ways in which affordances for ‘higher’ cognition support creative imagination, anticipation, explicit planning and self-reflection.
The Skilled Intentionality Framework is groundbreaking in relating findings established at several complementary levels of analysis: philosophy/phenomenology, ecological psychology, affective science and neurodynamics.
Empirical findings thought to be exclusively valid for everyday unreflective action can now be used to explain skilled ‘higher’ cognition as well. Moreover, SIF brings both the context and the social back into cognitive science. I will show SIF’s relevance for Friston’s work on the anticipating brain, and apply it in the domain of architecture and public health. SIF will radically widen the scope of the increasingly influential field of embodied cognitive science.
Max ERC Funding
1 499 850 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym Age Asymmetry
Project Age-Selective Segregation of Organelles
Researcher (PI) Pekka Aleksi Katajisto
Host Institution (HI) HELSINGIN YLIOPISTO
Call Details Starting Grant (StG), LS3, ERC-2015-STG
Summary Our tissues are constantly renewed by stem cells. Over time, stem cells accumulate cellular damage that will compromise renewal and results in aging. As stem cells can divide asymmetrically, segregation of harmful factors to the differentiating daughter cell could be one possible mechanism for slowing damage accumulation in the stem cell. However, current evidence for such mechanisms comes mainly from analogous findings in yeast, and studies have concentrated only on few types of cellular damage.
I hypothesize that the chronological age of a subcellular component is a proxy for all the damage it has sustained. In order to secure regeneration, mammalian stem cells may therefore specifically sort old cellular material asymmetrically. To study this, I have developed a novel strategy and tools to address the age-selective segregation of any protein in stem cell division. Using this approach, I have already discovered that stem-like cells of the human mammary epithelium indeed apportion chronologically old mitochondria asymmetrically in cell division, and enrich old mitochondria to the differentiating daughter cell. We will investigate the mechanisms underlying this novel phenomenon, and its relevance for mammalian aging.
We will first identify how old and young mitochondria differ, and how stem cells recognize them to facilitate the asymmetric segregation. Next, we will analyze the extent of asymmetric age-selective segregation by targeting several other subcellular compartments in a stem cell division. Finally, we will determine whether the discovered age-selective segregation is a general property of stem cell in vivo, and it's functional relevance for maintenance of stem cells and tissue regeneration. Our discoveries may open new possibilities to target aging associated functional decline by induction of asymmetric age-selective organelle segregation.
Summary
Our tissues are constantly renewed by stem cells. Over time, stem cells accumulate cellular damage that will compromise renewal and results in aging. As stem cells can divide asymmetrically, segregation of harmful factors to the differentiating daughter cell could be one possible mechanism for slowing damage accumulation in the stem cell. However, current evidence for such mechanisms comes mainly from analogous findings in yeast, and studies have concentrated only on few types of cellular damage.
I hypothesize that the chronological age of a subcellular component is a proxy for all the damage it has sustained. In order to secure regeneration, mammalian stem cells may therefore specifically sort old cellular material asymmetrically. To study this, I have developed a novel strategy and tools to address the age-selective segregation of any protein in stem cell division. Using this approach, I have already discovered that stem-like cells of the human mammary epithelium indeed apportion chronologically old mitochondria asymmetrically in cell division, and enrich old mitochondria to the differentiating daughter cell. We will investigate the mechanisms underlying this novel phenomenon, and its relevance for mammalian aging.
We will first identify how old and young mitochondria differ, and how stem cells recognize them to facilitate the asymmetric segregation. Next, we will analyze the extent of asymmetric age-selective segregation by targeting several other subcellular compartments in a stem cell division. Finally, we will determine whether the discovered age-selective segregation is a general property of stem cell in vivo, and it's functional relevance for maintenance of stem cells and tissue regeneration. Our discoveries may open new possibilities to target aging associated functional decline by induction of asymmetric age-selective organelle segregation.
Max ERC Funding
1 500 000 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym AlterMateria
Project Designer Quantum Materials Out of Equilibrium
Researcher (PI) Andrea Caviglia
Host Institution (HI) TECHNISCHE UNIVERSITEIT DELFT
Call Details Starting Grant (StG), PE3, ERC-2015-STG
Summary Recently, ‘designer’ quantum materials, synthesised layer by layer, have been realised, sparking ground-breaking new scientific insights. These artificial materials, such as oxide heterostructures, are interesting building blocks for a new generation of technologies, provided that one is able to access, study and ultimately control their quantum phases in practical conditions such as at room temperature and high speeds.
On the other hand, an independent research area is emerging that uses ultra-short bursts of light to stimulate changes in the macroscopic electronic properties of solids at unprecedented speeds.
Here I propose to bridge the gap between material design and ultrafast control of solids. This new synergy will allow us to explore fundamental research questions on the non-equilibrium dynamics of quantum materials with competing ground states. Specifically, I will utilize intense THz and mid-infrared electromagnetic fields to manipulate the electronic properties of artificial quantum materials on pico- to femto-second time scales. Beyond the development of novel techniques to generate THz electric fields of unprecedented intensity, I will investigate metal-insulator and magnetic transitions in oxide heterostructures as they unfold in time. This research programme takes oxide electronics in a new direction and establishes a new methodology for the control of quantum phases at high temperature and high speed.
Summary
Recently, ‘designer’ quantum materials, synthesised layer by layer, have been realised, sparking ground-breaking new scientific insights. These artificial materials, such as oxide heterostructures, are interesting building blocks for a new generation of technologies, provided that one is able to access, study and ultimately control their quantum phases in practical conditions such as at room temperature and high speeds.
On the other hand, an independent research area is emerging that uses ultra-short bursts of light to stimulate changes in the macroscopic electronic properties of solids at unprecedented speeds.
Here I propose to bridge the gap between material design and ultrafast control of solids. This new synergy will allow us to explore fundamental research questions on the non-equilibrium dynamics of quantum materials with competing ground states. Specifically, I will utilize intense THz and mid-infrared electromagnetic fields to manipulate the electronic properties of artificial quantum materials on pico- to femto-second time scales. Beyond the development of novel techniques to generate THz electric fields of unprecedented intensity, I will investigate metal-insulator and magnetic transitions in oxide heterostructures as they unfold in time. This research programme takes oxide electronics in a new direction and establishes a new methodology for the control of quantum phases at high temperature and high speed.
Max ERC Funding
1 499 982 €
Duration
Start date: 2016-06-01, End date: 2021-05-31
Project acronym ANaPSyS
Project Artificial Natural Products System Synthesis
Researcher (PI) Tanja Gaich
Host Institution (HI) UNIVERSITAT KONSTANZ
Call Details Starting Grant (StG), PE5, ERC-2015-STG
Summary "Traditionally, natural products are classified into ""natural product families"". Within a family all congeners display specific structure elements, owing to their common biosynthetic pathway. This suggests a bio-inspired or ""collective synthesis"", as has been devised by D: W. MacMillan. However, a biosynthetic pathway is confined to these structure elements, thus limiting synthesis with regard to structure diversification. In this research proposal the applicant exemplarily devises a strategic concept to overcome these limitations, by replacing the dogma of ""retrosynthetic analysis"" with ""structure pattern recognition"". This concept is termed ""Artificial Natural Product Systems Synthesis — ANaPSyS"", and aims to supersede the current ""logic of chemical synthesis"" as a standard practice in this field.
ANaPSyS exclusively categorizes natural products based on structural relationships — regardless of biogenetic origin. The structure pattern analysis groups natural products according to their shared core structure, and thereof creates a common precursor called ""privileged intermediate (PI)"". This intermediate is resembled in each of these natural products and is architecturally less complex. As a result every member of this natural product group can originate from a different natural product family and is obtained via this ""privileged intermediate"", which serves as basis for the artificial synthetic network.
With ANaPSyS a synthetic route is not restricted to a single target structure anymore (as in conventional synthesis). In comparison with bio-inspired synthesis, which is limited to a single natural product family, ANaPSyS enables the synthesis of a whole set of natural product families. With every synthesis accomplished, the network is upgraded — hence diversification leads to a rise in revenue. As a consequence, synthetic efficiency is drastically enhanced, therefore profoundly boosting and facilitating lead structure development.
"
Summary
"Traditionally, natural products are classified into ""natural product families"". Within a family all congeners display specific structure elements, owing to their common biosynthetic pathway. This suggests a bio-inspired or ""collective synthesis"", as has been devised by D: W. MacMillan. However, a biosynthetic pathway is confined to these structure elements, thus limiting synthesis with regard to structure diversification. In this research proposal the applicant exemplarily devises a strategic concept to overcome these limitations, by replacing the dogma of ""retrosynthetic analysis"" with ""structure pattern recognition"". This concept is termed ""Artificial Natural Product Systems Synthesis — ANaPSyS"", and aims to supersede the current ""logic of chemical synthesis"" as a standard practice in this field.
ANaPSyS exclusively categorizes natural products based on structural relationships — regardless of biogenetic origin. The structure pattern analysis groups natural products according to their shared core structure, and thereof creates a common precursor called ""privileged intermediate (PI)"". This intermediate is resembled in each of these natural products and is architecturally less complex. As a result every member of this natural product group can originate from a different natural product family and is obtained via this ""privileged intermediate"", which serves as basis for the artificial synthetic network.
With ANaPSyS a synthetic route is not restricted to a single target structure anymore (as in conventional synthesis). In comparison with bio-inspired synthesis, which is limited to a single natural product family, ANaPSyS enables the synthesis of a whole set of natural product families. With every synthesis accomplished, the network is upgraded — hence diversification leads to a rise in revenue. As a consequence, synthetic efficiency is drastically enhanced, therefore profoundly boosting and facilitating lead structure development.
"
Max ERC Funding
1 497 000 €
Duration
Start date: 2016-04-01, End date: 2021-03-31
Project acronym Antibodyomics
Project Vaccine profiling and immunodiagnostic discovery by high-throughput antibody repertoire analysis
Researcher (PI) Sai Tota Reddy
Host Institution (HI) EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Call Details Starting Grant (StG), LS7, ERC-2015-STG
Summary Vaccines and immunodiagnostics have been vital for public health and medicine, however a quantitative molecular understanding of vaccine-induced antibody responses is lacking. Antibody research is currently going through a big-data driven revolution, largely due to progress in next-generation sequencing (NGS) and bioinformatic analysis of antibody repertoires. A main advantage of high-throughput antibody repertoire analysis is that it provides a wealth of quantitative information not possible with other classical methods of antibody analysis (i.e., serum titers); this information includes: clonal distribution and diversity, somatic hypermutation patterns, and lineage tracing. In preliminary work my group has established standardized methods for antibody repertoire NGS, including an experimental-bioinformatic pipeline for error and bias correction that enables highly accurate repertoire sequencing and analysis. The overall goal of this proposal will be to apply high-throughput antibody repertoire analysis for quantitative vaccine profiling and discovery of next-generation immunodiagnostics. Using mouse subunit vaccination as our model system, we will answer for the first time, a fundamental biological question within the context of antibody responses - what is the link between genotype (antibody repertoire) and phenotype (serum antibodies)? We will expand upon this approach for improved rational vaccine design by quantitatively determining the impact of a comprehensive set of subunit vaccination parameters on complete antibody landscapes. Finally, we will develop advanced bioinformatic methods to discover immunodiagnostics based on antibody repertoire sequences. In summary, this proposal lays the foundation for fundamentally new approaches in the quantitative analysis of antibody responses, which long-term will promote the development of next-generation vaccines and immunodiagnostics.
Summary
Vaccines and immunodiagnostics have been vital for public health and medicine, however a quantitative molecular understanding of vaccine-induced antibody responses is lacking. Antibody research is currently going through a big-data driven revolution, largely due to progress in next-generation sequencing (NGS) and bioinformatic analysis of antibody repertoires. A main advantage of high-throughput antibody repertoire analysis is that it provides a wealth of quantitative information not possible with other classical methods of antibody analysis (i.e., serum titers); this information includes: clonal distribution and diversity, somatic hypermutation patterns, and lineage tracing. In preliminary work my group has established standardized methods for antibody repertoire NGS, including an experimental-bioinformatic pipeline for error and bias correction that enables highly accurate repertoire sequencing and analysis. The overall goal of this proposal will be to apply high-throughput antibody repertoire analysis for quantitative vaccine profiling and discovery of next-generation immunodiagnostics. Using mouse subunit vaccination as our model system, we will answer for the first time, a fundamental biological question within the context of antibody responses - what is the link between genotype (antibody repertoire) and phenotype (serum antibodies)? We will expand upon this approach for improved rational vaccine design by quantitatively determining the impact of a comprehensive set of subunit vaccination parameters on complete antibody landscapes. Finally, we will develop advanced bioinformatic methods to discover immunodiagnostics based on antibody repertoire sequences. In summary, this proposal lays the foundation for fundamentally new approaches in the quantitative analysis of antibody responses, which long-term will promote the development of next-generation vaccines and immunodiagnostics.
Max ERC Funding
1 492 586 €
Duration
Start date: 2016-06-01, End date: 2021-05-31
Project acronym ApeAttachment
Project Are social skills determined by early live experiences?
Researcher (PI) Catherine Delia Crockford
Host Institution (HI) MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Call Details Starting Grant (StG), SH4, ERC-2015-STG
Summary Social bonding success in life impacts on health, survival and fitness. It is proposed that early and later social experience as well as heritable factors determine social bonding abilities in adulthood, although the relative influence of each is unclear. In humans, the resulting uncertainty likely impedes psychological and psychiatric assessment and therapy. One problem hampering progress for human studies is that social bonding success is hard to objectively quantify, particularly in adults. I propose to directly address this problem by determining the key influences on social bonding abilities in chimpanzees, our closest living relative, where social bonding success can be objectively quantified, and is defined as number of affiliative relationships maintained over time with high rates of affiliation.
Objectives. This project will quantify the relative impact of early and later social experience as well as heritable factors on social hormone levels, social cognition and social bonding success in 270 wild and captive chimpanzees, using both cohort and longitudinal data. This will reveal the degree of plasticity in social cognition and bonding behaviour throughout life. Finally, it will evaluate the potential for using endogenous hormone levels as non-invasive biomarkers of social bonding success, as well as identifying social contexts that act as strong natural social hormone releasers.
Outcomes. This project will expose what makes some better at social bonding than others. Specifically, it will show the extent to which later social experience can compensate for early social experience or heritable factors in terms of adult social bonding success, the latter being a key factor in determining health and happiness in life. This project also offers the potential for using hormonal biomarkers in clincial settings, as objective assessment of changes in relationships over time, and in therapy by engaging in social behaviours that act as strong social hormone releasers.
Summary
Social bonding success in life impacts on health, survival and fitness. It is proposed that early and later social experience as well as heritable factors determine social bonding abilities in adulthood, although the relative influence of each is unclear. In humans, the resulting uncertainty likely impedes psychological and psychiatric assessment and therapy. One problem hampering progress for human studies is that social bonding success is hard to objectively quantify, particularly in adults. I propose to directly address this problem by determining the key influences on social bonding abilities in chimpanzees, our closest living relative, where social bonding success can be objectively quantified, and is defined as number of affiliative relationships maintained over time with high rates of affiliation.
Objectives. This project will quantify the relative impact of early and later social experience as well as heritable factors on social hormone levels, social cognition and social bonding success in 270 wild and captive chimpanzees, using both cohort and longitudinal data. This will reveal the degree of plasticity in social cognition and bonding behaviour throughout life. Finally, it will evaluate the potential for using endogenous hormone levels as non-invasive biomarkers of social bonding success, as well as identifying social contexts that act as strong natural social hormone releasers.
Outcomes. This project will expose what makes some better at social bonding than others. Specifically, it will show the extent to which later social experience can compensate for early social experience or heritable factors in terms of adult social bonding success, the latter being a key factor in determining health and happiness in life. This project also offers the potential for using hormonal biomarkers in clincial settings, as objective assessment of changes in relationships over time, and in therapy by engaging in social behaviours that act as strong social hormone releasers.
Max ERC Funding
1 495 000 €
Duration
Start date: 2016-04-01, End date: 2021-03-31
Project acronym ARCA
Project Analysis and Representation of Complex Activities in Videos
Researcher (PI) Juergen Gall
Host Institution (HI) RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN
Call Details Starting Grant (StG), PE6, ERC-2015-STG
Summary The goal of the project is to automatically analyse human activities observed in videos. Any solution to this problem will allow the development of novel applications. It could be used to create short videos that summarize daily activities to support patients suffering from Alzheimer's disease. It could also be used for education, e.g., by providing a video analysis for a trainee in the hospital that shows if the tasks have been correctly executed.
The analysis of complex activities in videos, however, is very challenging since activities vary in temporal duration between minutes and hours, involve interactions with several objects that change their appearance and shape, e.g., food during cooking, and are composed of many sub-activities, which can happen at the same time or in various orders.
While the majority of recent works in action recognition focuses on developing better feature encoding techniques for classifying sub-activities in short video clips of a few seconds, this project moves forward and aims to develop a higher level representation of complex activities to overcome the limitations of current approaches. This includes the handling of large time variations and the ability to recognize and locate complex activities in videos. To this end, we aim to develop a unified model that provides detailed information about the activities and sub-activities in terms of time and spatial location, as well as involved pose motion, objects and their transformations.
Another aspect of the project is to learn a representation from videos that is not tied to a specific source of videos or limited to a specific application. Instead we aim to learn a representation that is invariant to a perspective change, e.g., from a third-person perspective to an egocentric perspective, and can be applied to various modalities like videos or depth data without the need of collecting massive training data for all modalities. In other words, we aim to learn the essence of activities.
Summary
The goal of the project is to automatically analyse human activities observed in videos. Any solution to this problem will allow the development of novel applications. It could be used to create short videos that summarize daily activities to support patients suffering from Alzheimer's disease. It could also be used for education, e.g., by providing a video analysis for a trainee in the hospital that shows if the tasks have been correctly executed.
The analysis of complex activities in videos, however, is very challenging since activities vary in temporal duration between minutes and hours, involve interactions with several objects that change their appearance and shape, e.g., food during cooking, and are composed of many sub-activities, which can happen at the same time or in various orders.
While the majority of recent works in action recognition focuses on developing better feature encoding techniques for classifying sub-activities in short video clips of a few seconds, this project moves forward and aims to develop a higher level representation of complex activities to overcome the limitations of current approaches. This includes the handling of large time variations and the ability to recognize and locate complex activities in videos. To this end, we aim to develop a unified model that provides detailed information about the activities and sub-activities in terms of time and spatial location, as well as involved pose motion, objects and their transformations.
Another aspect of the project is to learn a representation from videos that is not tied to a specific source of videos or limited to a specific application. Instead we aim to learn a representation that is invariant to a perspective change, e.g., from a third-person perspective to an egocentric perspective, and can be applied to various modalities like videos or depth data without the need of collecting massive training data for all modalities. In other words, we aim to learn the essence of activities.
Max ERC Funding
1 499 875 €
Duration
Start date: 2016-06-01, End date: 2021-05-31
