Project acronym ACROSS
Project Australasian Colonization Research: Origins of Seafaring to Sahul
Researcher (PI) Rosemary Helen FARR
Host Institution (HI) UNIVERSITY OF SOUTHAMPTON
Call Details Starting Grant (StG), SH6, ERC-2017-STG
Summary One of the most exciting research questions within archaeology is that of the peopling of Australasia by at least c.50,000 years ago. This represents some of the earliest evidence of modern human colonization outside Africa, yet, even at the greatest sea-level lowstand, this migration would have involved seafaring. It is the maritime nature of this dispersal which makes it so important to questions of technological, cognitive and social human development. These issues have traditionally been the preserve of archaeologists, but with a multidisciplinary approach that embraces cutting-edge marine geophysical, hydrodynamic and archaeogenetic analyses, we now have the opportunity to examine the When, Where, Who and How of the earliest seafaring in world history.
The voyage from Sunda (South East Asia) to Sahul (Australasia) provides evidence for the earliest ‘open water’ crossing in the world. A combination of the sparse number of early archaeological finds and the significant changes in the palaeolandscape and submergence of the broad north western Australian continental shelf, mean that little is known about the routes taken and what these crossings may have entailed.
This project will combine research of the submerged palaeolandscape of the continental shelf to refine our knowledge of the onshore/offshore environment, identify potential submerged prehistoric sites and enhance our understanding of the palaeoshoreline and tidal regime. This will be combined with archaeogenetic research targeting mtDNA and Y-chromosome data to resolve questions of demography and dating.
For the first time this project takes a truly multidisciplinary approach to address the colonization of Sahul, providing an unique opportunity to tackle some of the most important questions about human origins, the relationship between humans and the changing environment, population dynamics and migration, seafaring technology, social organisation and cognition.
Summary
One of the most exciting research questions within archaeology is that of the peopling of Australasia by at least c.50,000 years ago. This represents some of the earliest evidence of modern human colonization outside Africa, yet, even at the greatest sea-level lowstand, this migration would have involved seafaring. It is the maritime nature of this dispersal which makes it so important to questions of technological, cognitive and social human development. These issues have traditionally been the preserve of archaeologists, but with a multidisciplinary approach that embraces cutting-edge marine geophysical, hydrodynamic and archaeogenetic analyses, we now have the opportunity to examine the When, Where, Who and How of the earliest seafaring in world history.
The voyage from Sunda (South East Asia) to Sahul (Australasia) provides evidence for the earliest ‘open water’ crossing in the world. A combination of the sparse number of early archaeological finds and the significant changes in the palaeolandscape and submergence of the broad north western Australian continental shelf, mean that little is known about the routes taken and what these crossings may have entailed.
This project will combine research of the submerged palaeolandscape of the continental shelf to refine our knowledge of the onshore/offshore environment, identify potential submerged prehistoric sites and enhance our understanding of the palaeoshoreline and tidal regime. This will be combined with archaeogenetic research targeting mtDNA and Y-chromosome data to resolve questions of demography and dating.
For the first time this project takes a truly multidisciplinary approach to address the colonization of Sahul, providing an unique opportunity to tackle some of the most important questions about human origins, the relationship between humans and the changing environment, population dynamics and migration, seafaring technology, social organisation and cognition.
Max ERC Funding
1 134 928 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym Brain2Bee
Project How dopamine affects social and motor ability - from the human brain to the honey bee
Researcher (PI) Jennifer COOK
Host Institution (HI) THE UNIVERSITY OF BIRMINGHAM
Call Details Starting Grant (StG), SH4, ERC-2017-STG
Summary Parkinson’s Disease is usually characterised by motor impairment, and Autism by social difficulties. However, the co-occurrence of social and motor symptoms is critically underappreciated; Parkinson’s Disease patients exhibit social symptoms, and motor difficulties are common in Autism. At present, the biological basis of co-occurring social and motor impairment is unclear. Notably, both Autism and Parkinson’s Disease have been associated with dopamine (DA) system dysfunction and, in non-clinical populations, DA has been linked with social and motor ability. These disparate strands of research have never been combined.
Brain2Bee will use psychopharmacology in typical individuals to develop a model of the relationship between DA, Motor, and Social behaviour – the DAMS model. Brain2Bee will use sophisticated genetic analysis to refine DAMS, elucidating the contributions of DA-related biological processes (e.g. synthesis, receptor expression, reuptake). Brain2Bee will then test DAMS’ predictions in patients with Parkinson’s Disease and Autism. Finally, Brain2Bee will investigate whether DAMS generalises to an animal model, the honey bee, enabling future research to unpack the cascade of biological events linking DA-related genes with social and motor behaviour.
Brain2Bee will unite disparate research fields and establish the DAMS model. The causal structure of DAMS will identify the impact of dopaminergic variation on social and motor function in clinical and non-clinical populations, elucidating, for example, whether social difficulties in Parkinson’s Disease are a product of the motor difficulties caused by DA dysfunction. DAMS’ biological specificity will provide unique insight into the DA-related processes linking social and motor difficulties in Autism. Thus, Brain2Bee will determine the type of dopaminergic drugs (e.g. receptor blockers, reuptake inhibitors) most likely to improve both social and motor function.
Summary
Parkinson’s Disease is usually characterised by motor impairment, and Autism by social difficulties. However, the co-occurrence of social and motor symptoms is critically underappreciated; Parkinson’s Disease patients exhibit social symptoms, and motor difficulties are common in Autism. At present, the biological basis of co-occurring social and motor impairment is unclear. Notably, both Autism and Parkinson’s Disease have been associated with dopamine (DA) system dysfunction and, in non-clinical populations, DA has been linked with social and motor ability. These disparate strands of research have never been combined.
Brain2Bee will use psychopharmacology in typical individuals to develop a model of the relationship between DA, Motor, and Social behaviour – the DAMS model. Brain2Bee will use sophisticated genetic analysis to refine DAMS, elucidating the contributions of DA-related biological processes (e.g. synthesis, receptor expression, reuptake). Brain2Bee will then test DAMS’ predictions in patients with Parkinson’s Disease and Autism. Finally, Brain2Bee will investigate whether DAMS generalises to an animal model, the honey bee, enabling future research to unpack the cascade of biological events linking DA-related genes with social and motor behaviour.
Brain2Bee will unite disparate research fields and establish the DAMS model. The causal structure of DAMS will identify the impact of dopaminergic variation on social and motor function in clinical and non-clinical populations, elucidating, for example, whether social difficulties in Parkinson’s Disease are a product of the motor difficulties caused by DA dysfunction. DAMS’ biological specificity will provide unique insight into the DA-related processes linking social and motor difficulties in Autism. Thus, Brain2Bee will determine the type of dopaminergic drugs (e.g. receptor blockers, reuptake inhibitors) most likely to improve both social and motor function.
Max ERC Funding
1 783 147 €
Duration
Start date: 2018-07-01, End date: 2023-06-30
Project acronym CCLAD
Project The Politics of Climate Change Loss and Damage
Researcher (PI) Lisa VANHALA
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Call Details Starting Grant (StG), SH2, ERC-2017-STG
Summary The way in which normative principles (“norms”) matter in world politics is now a key area of international relations research. Yet we have limited understanding of why some norms emerge and gain traction globally whereas others do not. The politics of loss and damage related to climate change offers a paradigm case for studying the emergence of - and contestation over - norms, specifically justice norms. The parties to the UN Framework Convention on Climate Change (UNFCCC) have recently acknowledged that there is an urgent need to address the inevitable, irreversible consequences of climate change. Yet within this highly contested policy area - which includes work on disaster risk reduction; non-economic losses (e.g. loss of sovereignty); finance and climate-related migration - there is little consensus about what loss and damage policy means or what it requires of the global community, of states and of the (current and future) victims of climate change. Relying on an interdisciplinary theoretical approach and an ethnographic methodology that traverses scales of governance, my project - The Politics of Climate Change Loss and Damage (CCLAD) - will elucidate the conditions under which a norm is likely to become hegemonic, influential, contested or reversed by introducing a new understanding of the fluid nature of norm-content. I argue that norms are partly constituted through the practices of policy-making and implementation at the international and national level. The research will examine the micro-politics of the international negotiations and implementation of loss and damage policy and also involves cross-national comparative research on domestic loss and damage policy practices. Bringing these two streams of work together will allow me to show how and why policy practices shape the evolution of climate justice norms. CCLAD will also make an important methodological contribution through the development of political ethnography and “practice-tracing” methods.
Summary
The way in which normative principles (“norms”) matter in world politics is now a key area of international relations research. Yet we have limited understanding of why some norms emerge and gain traction globally whereas others do not. The politics of loss and damage related to climate change offers a paradigm case for studying the emergence of - and contestation over - norms, specifically justice norms. The parties to the UN Framework Convention on Climate Change (UNFCCC) have recently acknowledged that there is an urgent need to address the inevitable, irreversible consequences of climate change. Yet within this highly contested policy area - which includes work on disaster risk reduction; non-economic losses (e.g. loss of sovereignty); finance and climate-related migration - there is little consensus about what loss and damage policy means or what it requires of the global community, of states and of the (current and future) victims of climate change. Relying on an interdisciplinary theoretical approach and an ethnographic methodology that traverses scales of governance, my project - The Politics of Climate Change Loss and Damage (CCLAD) - will elucidate the conditions under which a norm is likely to become hegemonic, influential, contested or reversed by introducing a new understanding of the fluid nature of norm-content. I argue that norms are partly constituted through the practices of policy-making and implementation at the international and national level. The research will examine the micro-politics of the international negotiations and implementation of loss and damage policy and also involves cross-national comparative research on domestic loss and damage policy practices. Bringing these two streams of work together will allow me to show how and why policy practices shape the evolution of climate justice norms. CCLAD will also make an important methodological contribution through the development of political ethnography and “practice-tracing” methods.
Max ERC Funding
1 471 530 €
Duration
Start date: 2018-05-01, End date: 2023-04-30
Project acronym CONNEC
Project CONNECTED CLERICS. BUILDING A UNIVERSAL CHURCH IN THE LATE ANTIQUE WEST (380-604 CE)
Researcher (PI) David NATAL VILLAZALA
Host Institution (HI) ROYAL HOLLOWAY AND BEDFORD NEW COLLEGE
Call Details Starting Grant (StG), SH6, ERC-2017-STG
Summary In 380 CE, the Emperor Theodosius (d. 395) ordered all Roman subjects to follow Catholic Christianity and limited imperial patronage to the Catholic Church. Theodosius was the last ruler to reign over a united empire. At his death the realm was divided into two halves, and by the end of Gregory the Great’s papacy (d. 604), a mosaic of independent kingdoms had replaced the western part of the empire. Yet despite the political division, during this period western clerics built a supra-regional ecclesiastical structure with substantial levels of hierarchy and cohesion.
Up to the 1950s historians have largely conceived of these ecclesiastical institutions as organizations with widely accepted power. More recent scholarship, however, has revealed the social origin and fallibility of clerical authority. Nonetheless, this move away from the study of institutions has left unanswered the fundamental questions of how a ‘universal’ church was built at a time of political fragmentation, and how the transition from informal mutual aid to more formal hierarchical structures of law- and policy-making came about.
With innovative methods of social inquiry we can offer new answers to these historiographical questions. Our project (CONNEC) will use social network analysis and new institutional theory to trace four processes: how clerical networks adapted to the new secular contexts, how these interactions shaped the development of ecclesiastical law, how clerics constructed and disseminated discourses that supported different structures of the church, and how networks fostered compliance and a sense of accountability among clerics. CONNEC’s use of state-of-the-art methods will be enhanced by the implementation of cutting-edge digital technologies, adapting network analysis software for late antique sources. By bringing together digital tools with qualitative textual analysis, CONNEC will provide a more nuanced understanding of a key process of world history.
Summary
In 380 CE, the Emperor Theodosius (d. 395) ordered all Roman subjects to follow Catholic Christianity and limited imperial patronage to the Catholic Church. Theodosius was the last ruler to reign over a united empire. At his death the realm was divided into two halves, and by the end of Gregory the Great’s papacy (d. 604), a mosaic of independent kingdoms had replaced the western part of the empire. Yet despite the political division, during this period western clerics built a supra-regional ecclesiastical structure with substantial levels of hierarchy and cohesion.
Up to the 1950s historians have largely conceived of these ecclesiastical institutions as organizations with widely accepted power. More recent scholarship, however, has revealed the social origin and fallibility of clerical authority. Nonetheless, this move away from the study of institutions has left unanswered the fundamental questions of how a ‘universal’ church was built at a time of political fragmentation, and how the transition from informal mutual aid to more formal hierarchical structures of law- and policy-making came about.
With innovative methods of social inquiry we can offer new answers to these historiographical questions. Our project (CONNEC) will use social network analysis and new institutional theory to trace four processes: how clerical networks adapted to the new secular contexts, how these interactions shaped the development of ecclesiastical law, how clerics constructed and disseminated discourses that supported different structures of the church, and how networks fostered compliance and a sense of accountability among clerics. CONNEC’s use of state-of-the-art methods will be enhanced by the implementation of cutting-edge digital technologies, adapting network analysis software for late antique sources. By bringing together digital tools with qualitative textual analysis, CONNEC will provide a more nuanced understanding of a key process of world history.
Max ERC Funding
1 465 316 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym DATAJUSTICE
Project Data Justice: Understanding datafication in relation to social justice
Researcher (PI) Lina Maria Vendela DENCIK
Host Institution (HI) CARDIFF UNIVERSITY
Call Details Starting Grant (StG), SH3, ERC-2017-STG
Summary This project explores the meaning of social justice in an age of datafication. It is premised on two significant developments: 1) the shift to a focus on the collection and processing of massive amounts of data across social life and 2) the increasing concern with the societal implications of such processes. Whilst initial concern with the technical ability to ‘datafy’ and collect information on ever-more social activity focused on surveillance and privacy, increasing emphasis is being placed on the fact that data processes are not ‘flat’ and do not implicate everyone in the same way, but, rather, are part of a system of ‘social sorting’, creating new categories of citizens, and premised on an emerging order of ‘have’ and ‘have nots’ between data profilers and data subjects. In such a context, questions of social justice and datafication require detailed study. This project frames this research agenda around the notion of ‘data justice’. It will provide a European framework of study and take a holistic approach by situating research on data processes in the context of a) the concrete experiences and practices of particular communities; b) technological analyses of data sources, algorithmic process and data output; c) policy frameworks that relate to the interplay between digital rights and social and economic rights; and d) conceptual engagement with new social stratifications emerging with datafication. The project is ground-breaking in five different respects: i) it conceptually advances the meaning of social justice in a datafied society; ii) it shifts and challenges dominant understandings of data by highlighting its relation to social and economic rights; iii) it addresses an uncharted but rapidly growing response to datafication in civil society; iv) it breaks down disciplinary boundaries in understandings of technology, power, politics and social change; and v) it pursues a combination of engaged research and socio-technical modes of investigation.
Summary
This project explores the meaning of social justice in an age of datafication. It is premised on two significant developments: 1) the shift to a focus on the collection and processing of massive amounts of data across social life and 2) the increasing concern with the societal implications of such processes. Whilst initial concern with the technical ability to ‘datafy’ and collect information on ever-more social activity focused on surveillance and privacy, increasing emphasis is being placed on the fact that data processes are not ‘flat’ and do not implicate everyone in the same way, but, rather, are part of a system of ‘social sorting’, creating new categories of citizens, and premised on an emerging order of ‘have’ and ‘have nots’ between data profilers and data subjects. In such a context, questions of social justice and datafication require detailed study. This project frames this research agenda around the notion of ‘data justice’. It will provide a European framework of study and take a holistic approach by situating research on data processes in the context of a) the concrete experiences and practices of particular communities; b) technological analyses of data sources, algorithmic process and data output; c) policy frameworks that relate to the interplay between digital rights and social and economic rights; and d) conceptual engagement with new social stratifications emerging with datafication. The project is ground-breaking in five different respects: i) it conceptually advances the meaning of social justice in a datafied society; ii) it shifts and challenges dominant understandings of data by highlighting its relation to social and economic rights; iii) it addresses an uncharted but rapidly growing response to datafication in civil society; iv) it breaks down disciplinary boundaries in understandings of technology, power, politics and social change; and v) it pursues a combination of engaged research and socio-technical modes of investigation.
Max ERC Funding
1 383 920 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym DUST
Project Data Assimilation for Agent-Based Models: Applications to Civil Emergencies
Researcher (PI) Nicolas Sparrow MALLESON
Host Institution (HI) UNIVERSITY OF LEEDS
Call Details Starting Grant (StG), SH2, ERC-2017-STG
Summary Civil emergencies such as flooding, terrorist attacks, fire, etc., can have devastating impacts on people, infrastructure, and economies. Knowing how to best respond to an emergency can be extremely difficult because building a clear picture of the emerging situation is challenging with the limited data and modelling capabilities that are available. Agent-based modelling (ABM) is a field that excels in its ability to simulate human systems and has therefore become a popular tool for simulating disasters and for modelling strategies that are aimed at mitigating developing problems. However, the field suffers from a serious drawback: models are not able to incorporate up-to-date data (e.g. social media, mobile telephone use, public transport records, etc.). Instead they are initialised with historical data and therefore their forecasts diverge rapidly from reality.
To address this major shortcoming, this research will develop dynamic data assimilation methods for use in ABMs. These techniques have already revolutionised weather forecasts and could offer the same advantages for ABMs of social systems. There are serious methodological barriers that must be overcome, but this research has the potential to produce a step change in the ability of models to create accurate short-term forecasts of social systems. The project is largely methodological, and will evidence the efficacy of the new methods by developing a cutting-edge simulation of a city – entitled the Dynamic Urban Simulation Technique (DUST) – that can be dynamically optimised with streaming ‘big’ data. The model will ultimately be used in three areas of important policy impact: (1) as a tool for understanding and managing cities; (2) as a planning tool for exploring and preparing for potential emergency situations; and (3) as a real-time management tool, drawing on current data as they emerge to create the most reliable picture of the current situation.
Summary
Civil emergencies such as flooding, terrorist attacks, fire, etc., can have devastating impacts on people, infrastructure, and economies. Knowing how to best respond to an emergency can be extremely difficult because building a clear picture of the emerging situation is challenging with the limited data and modelling capabilities that are available. Agent-based modelling (ABM) is a field that excels in its ability to simulate human systems and has therefore become a popular tool for simulating disasters and for modelling strategies that are aimed at mitigating developing problems. However, the field suffers from a serious drawback: models are not able to incorporate up-to-date data (e.g. social media, mobile telephone use, public transport records, etc.). Instead they are initialised with historical data and therefore their forecasts diverge rapidly from reality.
To address this major shortcoming, this research will develop dynamic data assimilation methods for use in ABMs. These techniques have already revolutionised weather forecasts and could offer the same advantages for ABMs of social systems. There are serious methodological barriers that must be overcome, but this research has the potential to produce a step change in the ability of models to create accurate short-term forecasts of social systems. The project is largely methodological, and will evidence the efficacy of the new methods by developing a cutting-edge simulation of a city – entitled the Dynamic Urban Simulation Technique (DUST) – that can be dynamically optimised with streaming ‘big’ data. The model will ultimately be used in three areas of important policy impact: (1) as a tool for understanding and managing cities; (2) as a planning tool for exploring and preparing for potential emergency situations; and (3) as a real-time management tool, drawing on current data as they emerge to create the most reliable picture of the current situation.
Max ERC Funding
1 499 840 €
Duration
Start date: 2018-01-01, End date: 2022-12-31
Project acronym EVOTONE
Project The emergence and evolution of linguistic tone
Researcher (PI) James KIRBY
Host Institution (HI) THE UNIVERSITY OF EDINBURGH
Call Details Starting Grant (StG), SH4, ERC-2017-STG
Summary This project will investigate the origins, acquisition, and evolution of linguistic tone: the use of pitch to distinguish between the meaning of words. Despite the typological ubiquity of tone, there is still no phonetic, structural, or psychological model that explains how and why tones emerge (or fail to emerge) in language after language, nor how they evolve once they are formed. This is because there has never been a systematic analysis of the principles that govern the evolution of tone systems. EVOTONE will provide the first comprehensive study of tonal emergence and evolution, combining detailed phonetic and perceptual studies of Himalayan and Southeast Asian minority languages with innovative experimental methodologies and large-scale computational analysis of the structural principles correlated with the emergence of tone.
EVOTONE is guided by a novel hypothesis that, if correct, will have important repercussions for the study of sound change. The core idea is deceptively simple: rather than being the result of small, incremental changes in pronunciation, features like tone come about due to a sudden failure to articulate a particular aspect of a sound. If the risk of focusing on tone is to overemphasize a single feature, the potential reward is enormous: an opportunity to transform our understanding of how physical and cognitive pressures interact to shape human behavior and language change. The outcomes of this project will provide a new empirical foundation for the typology and evolution of tone systems; break new ground in the study of how structural and phonetic factors interact in sound change; and establish, for the first time, an empirically grounded set of principles of tonal evolution. In addition to resolving a number of outstanding questions about tonogenesis, the results will substantially advance our more general understanding of how language changes over time.
Summary
This project will investigate the origins, acquisition, and evolution of linguistic tone: the use of pitch to distinguish between the meaning of words. Despite the typological ubiquity of tone, there is still no phonetic, structural, or psychological model that explains how and why tones emerge (or fail to emerge) in language after language, nor how they evolve once they are formed. This is because there has never been a systematic analysis of the principles that govern the evolution of tone systems. EVOTONE will provide the first comprehensive study of tonal emergence and evolution, combining detailed phonetic and perceptual studies of Himalayan and Southeast Asian minority languages with innovative experimental methodologies and large-scale computational analysis of the structural principles correlated with the emergence of tone.
EVOTONE is guided by a novel hypothesis that, if correct, will have important repercussions for the study of sound change. The core idea is deceptively simple: rather than being the result of small, incremental changes in pronunciation, features like tone come about due to a sudden failure to articulate a particular aspect of a sound. If the risk of focusing on tone is to overemphasize a single feature, the potential reward is enormous: an opportunity to transform our understanding of how physical and cognitive pressures interact to shape human behavior and language change. The outcomes of this project will provide a new empirical foundation for the typology and evolution of tone systems; break new ground in the study of how structural and phonetic factors interact in sound change; and establish, for the first time, an empirically grounded set of principles of tonal evolution. In addition to resolving a number of outstanding questions about tonogenesis, the results will substantially advance our more general understanding of how language changes over time.
Max ERC Funding
1 481 154 €
Duration
Start date: 2018-06-01, End date: 2023-05-31
Project acronym FACESYNTAX
Project Computing the Face Syntax of Social Communication
Researcher (PI) Rachael Jack
Host Institution (HI) UNIVERSITY OF GLASGOW
Call Details Starting Grant (StG), SH3, ERC-2017-STG
Summary Social interactions are critical to all societies. One of the most powerful tools for social interaction is the face – a complex system comprising variations of movement (expressions), morphology (shape/structure) and complexion (color/texture). Consequently, the face can elicit myriad rapid social judgments (e.g. personality, emotion, group membership, age, health, social status) with significant consequences (e.g. sentencing/voting decisions, social isolation, job offers). Yet, little is known about how the complex, dynamic face transmits the myriad messages that regulate social interactions in different cultures, how these complex face signals map onto psychological processes (e.g. categorical/dimensional perception) or which signals facilitate or hinder cross-culture communication. This is largely due to fragmented research on social concepts (mental states, personality, emotions), face signals (morphology, movements, complexion) and culture, which, consequently, has overlooked a possible latent algebraic, syntactical structure to social face signals across cultures. My own work hints at such a structure. My ambitious program will unify these fragments to derive the first generative, algebraic and syntactical model of social face signals using innovative methods combining social/cultural psychology, 3D dynamic computer graphics, vision science psychophysical methods, and mathematical psychology. It will thus test and validate a new theoretical framework of social face signals that will unite both categorical/dimensional and universal/culture-specific accounts of social face perception. This framework is highly relevant in the context of globalization and cultural integration where social communication using virtual agents is integral to modern society. It is thus imperative to equip digital agents with the tools to flexibly generate socially and culturally sophisticated face signals. FACESYNTAX will thus transfer the generative model to social robotics.
Summary
Social interactions are critical to all societies. One of the most powerful tools for social interaction is the face – a complex system comprising variations of movement (expressions), morphology (shape/structure) and complexion (color/texture). Consequently, the face can elicit myriad rapid social judgments (e.g. personality, emotion, group membership, age, health, social status) with significant consequences (e.g. sentencing/voting decisions, social isolation, job offers). Yet, little is known about how the complex, dynamic face transmits the myriad messages that regulate social interactions in different cultures, how these complex face signals map onto psychological processes (e.g. categorical/dimensional perception) or which signals facilitate or hinder cross-culture communication. This is largely due to fragmented research on social concepts (mental states, personality, emotions), face signals (morphology, movements, complexion) and culture, which, consequently, has overlooked a possible latent algebraic, syntactical structure to social face signals across cultures. My own work hints at such a structure. My ambitious program will unify these fragments to derive the first generative, algebraic and syntactical model of social face signals using innovative methods combining social/cultural psychology, 3D dynamic computer graphics, vision science psychophysical methods, and mathematical psychology. It will thus test and validate a new theoretical framework of social face signals that will unite both categorical/dimensional and universal/culture-specific accounts of social face perception. This framework is highly relevant in the context of globalization and cultural integration where social communication using virtual agents is integral to modern society. It is thus imperative to equip digital agents with the tools to flexibly generate socially and culturally sophisticated face signals. FACESYNTAX will thus transfer the generative model to social robotics.
Max ERC Funding
1 490 050 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym FAIRFISH
Project Hidden Hunger, Forgotten Food
Researcher (PI) Christina Graham
Host Institution (HI) UNIVERSITY OF LANCASTER
Call Details Starting Grant (StG), SH2, ERC-2017-STG
Summary Food Security is a grand challenge of our time, but three factors inhibit our ability to meet global targets. First, interdisciplinary approaches incorporating ecological, social, and health sciences are fundamental, but lacking. Second, a disproportionate focus on food quantity overlooks ‘hidden hunger’, or micronutrient deficiencies, which are implicated in over a million deaths annually. Third, small-scale fisheries (SSF) reach 100s of millions of people in the developing world, hold potential for achieving food security, but remain ‘forgotten food’ in global discourse. Consequently, an interdisciplinary approach that tackles hidden hunger within SSF is a critical frontier for food security research.
Fish are particularly high in many micronutrients, but a systematic understanding of which species have the greatest concentrations of key nutrients is needed. Inadequate access to nutritious food is one of the most significant problems of the modern age, which can be illuminated through analyses of power. The failure to realise the tremendous potential for improving food security through fisheries stems from a lack of understanding of how social drivers exacerbate or ameliorate nutritional inequalities. Consequently, an in-depth analysis that quantifies how key social drivers impact nutritional inequality, is essential.
FAIRFISH will address these gaps to uncover the ecological and socio-cultural determinants of the contributions SSF make to human health:
1. Establish the ecological and environmental determinants of nutrient availability among fish species using a traits based approach.
2. Advance social practice theory, by integrating an analysis of power, to determine what power relations enable or constrain access to nutritious food.
3. Progress interdisciplinary science, by integrating findings from 1 and 2, to quantify the impact of key social drivers on nutritional inequality, and uncover opportunities to meet nutritional needs.
Summary
Food Security is a grand challenge of our time, but three factors inhibit our ability to meet global targets. First, interdisciplinary approaches incorporating ecological, social, and health sciences are fundamental, but lacking. Second, a disproportionate focus on food quantity overlooks ‘hidden hunger’, or micronutrient deficiencies, which are implicated in over a million deaths annually. Third, small-scale fisheries (SSF) reach 100s of millions of people in the developing world, hold potential for achieving food security, but remain ‘forgotten food’ in global discourse. Consequently, an interdisciplinary approach that tackles hidden hunger within SSF is a critical frontier for food security research.
Fish are particularly high in many micronutrients, but a systematic understanding of which species have the greatest concentrations of key nutrients is needed. Inadequate access to nutritious food is one of the most significant problems of the modern age, which can be illuminated through analyses of power. The failure to realise the tremendous potential for improving food security through fisheries stems from a lack of understanding of how social drivers exacerbate or ameliorate nutritional inequalities. Consequently, an in-depth analysis that quantifies how key social drivers impact nutritional inequality, is essential.
FAIRFISH will address these gaps to uncover the ecological and socio-cultural determinants of the contributions SSF make to human health:
1. Establish the ecological and environmental determinants of nutrient availability among fish species using a traits based approach.
2. Advance social practice theory, by integrating an analysis of power, to determine what power relations enable or constrain access to nutritious food.
3. Progress interdisciplinary science, by integrating findings from 1 and 2, to quantify the impact of key social drivers on nutritional inequality, and uncover opportunities to meet nutritional needs.
Max ERC Funding
1 493 605 €
Duration
Start date: 2018-02-01, End date: 2023-01-31
Project acronym FraMEPhys
Project A Framework for Metaphysical Explanation in Physics
Researcher (PI) Alastair WILSON
Host Institution (HI) THE UNIVERSITY OF BIRMINGHAM
Call Details Starting Grant (StG), SH4, ERC-2017-STG
Summary There is a growing consensus that causal explanation is not the whole story about explanation in science. Metaphysics has seen intense recent attention to the notion of grounding; in philosophy of physics, the focus has been on mathematical and structural explanation. But the grounding debate has been criticized for insularity and disconnection from scientific practice, while work on explanation in physics tends to overlook the sophisticated logical systems and conceptual distinctions developed in metaphysics. This situation hinders understanding of novel explanatory scenarios n philosophy of physics, where familiar models of causal explanation seem to break down. FraMEPhys addresses these challenges by combining new conceptual innovations and insights from both metaphysics and philosophy of physics to transform our understanding of the nature of explanation.
FraMEPhys will engage systematically with the best work on explanation within metaphysics and philosophy of science to develop a new general framework for understanding metaphysical explanation in physics, based around the structural-equations approach to causation. The guiding idea is that the conceptual and methodological tools of structural-equations modelling can be extended beyond their familiar application to causal explanation. This promising strategy, based on ground-breaking recent work by the PI, will be applied in FraMEPhys to model the explanatory structures involved in three case studies from philosophy of physics: geometrical explanations of inertial and gravitational motion, explanation in the presence of closed time-like curves, and the explanatory connection between entangled quantum systems. FraMEPhys will develop new concepts for understanding the varieties of explanation, will provide a uniquely systematic treatment of some key cases in philosophy of physics, and will push forward fruitful interactions at the intersection of metaphysics, philosophy of science and philosophy of physics.
Summary
There is a growing consensus that causal explanation is not the whole story about explanation in science. Metaphysics has seen intense recent attention to the notion of grounding; in philosophy of physics, the focus has been on mathematical and structural explanation. But the grounding debate has been criticized for insularity and disconnection from scientific practice, while work on explanation in physics tends to overlook the sophisticated logical systems and conceptual distinctions developed in metaphysics. This situation hinders understanding of novel explanatory scenarios n philosophy of physics, where familiar models of causal explanation seem to break down. FraMEPhys addresses these challenges by combining new conceptual innovations and insights from both metaphysics and philosophy of physics to transform our understanding of the nature of explanation.
FraMEPhys will engage systematically with the best work on explanation within metaphysics and philosophy of science to develop a new general framework for understanding metaphysical explanation in physics, based around the structural-equations approach to causation. The guiding idea is that the conceptual and methodological tools of structural-equations modelling can be extended beyond their familiar application to causal explanation. This promising strategy, based on ground-breaking recent work by the PI, will be applied in FraMEPhys to model the explanatory structures involved in three case studies from philosophy of physics: geometrical explanations of inertial and gravitational motion, explanation in the presence of closed time-like curves, and the explanatory connection between entangled quantum systems. FraMEPhys will develop new concepts for understanding the varieties of explanation, will provide a uniquely systematic treatment of some key cases in philosophy of physics, and will push forward fruitful interactions at the intersection of metaphysics, philosophy of science and philosophy of physics.
Max ERC Funding
1 481 184 €
Duration
Start date: 2018-01-01, End date: 2022-12-31