Project acronym AquaLub
Project A new high-performance aqueous lubricant formulation for soft bio-contact surfaces
Researcher (PI) Anwesha SARKAR
Host Institution (HI) UNIVERSITY OF LEEDS
Country United Kingdom
Call Details Proof of Concept (PoC), ERC-2019-PoC
Summary In the AquaLub project, we will translate an innovative aqueous lubricant technology, developed in the context of the ERC project LubSat, towards commercial applications. The technological focus is on an electrostatically-driven macromolecular self-assembly of naturally occurring proteins. Commercial aqueous lubricants market is significantly growing ($22 billion by 2025) with broad range of personal care and institutional care applications to enhance hydration and alleviate dryness-related pathologies of oral, ocular, vaginal, rectal and/or urethral tissues. In this context, hydrophilic polymers are the standard materials that provide sub-optimal lubrication properties significantly impairing the quality of life. Taking inspiration from highly sophisticated bio-lubricant saliva, engineered by nature, we propose a novel technology exploiting the self-assembly of proteins to design a porous mesh that acts as a nano-reservoir of water to provide the fluid film lubrication whilst the hydrophobic attachment of the proteins to the surface provide the boundary lubrication. These dual-benefits have not been achieved by any commercial solutions to date. This technology allows for substantial improvements on enhancing lubrication and sustaining hydration of biological soft surfaces, over existing commercially-available approaches. In this project, working through 4 work-packages, we will validate the techno-commercial feasibility of the aqueous lubricant formulation in various formats for chosen sectors and generate connections with key industrial players based on initial contacts established so far. Key activities in the proposed project will ensure demonstration of the up-scaling feasibility and validation of performance, market research and filing IP, which will allow us to build strategic alliances with selected industrial partners, explore licensing of the IP to these partners, and build a robust business case to take forward the commercialization of this technology.
Summary
In the AquaLub project, we will translate an innovative aqueous lubricant technology, developed in the context of the ERC project LubSat, towards commercial applications. The technological focus is on an electrostatically-driven macromolecular self-assembly of naturally occurring proteins. Commercial aqueous lubricants market is significantly growing ($22 billion by 2025) with broad range of personal care and institutional care applications to enhance hydration and alleviate dryness-related pathologies of oral, ocular, vaginal, rectal and/or urethral tissues. In this context, hydrophilic polymers are the standard materials that provide sub-optimal lubrication properties significantly impairing the quality of life. Taking inspiration from highly sophisticated bio-lubricant saliva, engineered by nature, we propose a novel technology exploiting the self-assembly of proteins to design a porous mesh that acts as a nano-reservoir of water to provide the fluid film lubrication whilst the hydrophobic attachment of the proteins to the surface provide the boundary lubrication. These dual-benefits have not been achieved by any commercial solutions to date. This technology allows for substantial improvements on enhancing lubrication and sustaining hydration of biological soft surfaces, over existing commercially-available approaches. In this project, working through 4 work-packages, we will validate the techno-commercial feasibility of the aqueous lubricant formulation in various formats for chosen sectors and generate connections with key industrial players based on initial contacts established so far. Key activities in the proposed project will ensure demonstration of the up-scaling feasibility and validation of performance, market research and filing IP, which will allow us to build strategic alliances with selected industrial partners, explore licensing of the IP to these partners, and build a robust business case to take forward the commercialization of this technology.
Max ERC Funding
150 000 €
Duration
Start date: 2020-05-01, End date: 2022-10-31
Project acronym archaeoscape.ai
Project Exploring complexity in the archaeological landscapes of monsoon Asia using lidar and deep learning
Researcher (PI) Damian EVANS
Host Institution (HI) ECOLE FRANCAISE D'EXTREME-ORIENT
Country France
Call Details Consolidator Grant (CoG), SH6, ERC-2019-COG
Summary Compelling evidence is now emerging that tropical environments were cradles of innovation and complexity from prehistory to the present. Tropical forests in particular have long been considered marginal and inhospitable, but recent work suggests that several critical milestones were achieved in these landscapes. Vast expanses were terraformed by increasingly complex societies, often in a quest to mitigate the sharp seasonality of the monsoon. Ostensibly wild and pristine rainforests are now characterised as managed 'gardens'. The giant low-density settlement complexes of 'rainforest civilisations' anticipate the sprawling megacities of our contemporary world, and offer a laboratory for understanding the profound challenges that they create.
To date, these emerging perspectives have largely been driven by advances in palaeobotany, archaeogenetics, isotopic analyses, and contemporary rainforest ecology. Remote sensing has so far played only a modest role in this broader agenda, in spite of the unique capability of lidar technology to 'strip away' vegetation and reveal archives of human activity inscribed in the Earth's surface.
This program will tackle the core problems that currently constrain the 'lidar revolution' in archaeology: We will use a new generation of lidar technologies to greatly expand coverage in Southeast Asia, home to many of the most important and understudied rainforest landscapes. We will develop open access frameworks and infrastructures for aggregating, sharing and collaborating on new and existing lidar datasets. We will build on recent advances in artificial intelligence to develop generic models for automation and analysis, in order to move beyond localised, culturally-specific lidar applications. The net result of this work will be to create consistent, comparable datasets of human impacts on the Earth's surface, with a view to understanding trajectories of innovation and complexity in the tropical world from the deep past to the present.
Summary
Compelling evidence is now emerging that tropical environments were cradles of innovation and complexity from prehistory to the present. Tropical forests in particular have long been considered marginal and inhospitable, but recent work suggests that several critical milestones were achieved in these landscapes. Vast expanses were terraformed by increasingly complex societies, often in a quest to mitigate the sharp seasonality of the monsoon. Ostensibly wild and pristine rainforests are now characterised as managed 'gardens'. The giant low-density settlement complexes of 'rainforest civilisations' anticipate the sprawling megacities of our contemporary world, and offer a laboratory for understanding the profound challenges that they create.
To date, these emerging perspectives have largely been driven by advances in palaeobotany, archaeogenetics, isotopic analyses, and contemporary rainforest ecology. Remote sensing has so far played only a modest role in this broader agenda, in spite of the unique capability of lidar technology to 'strip away' vegetation and reveal archives of human activity inscribed in the Earth's surface.
This program will tackle the core problems that currently constrain the 'lidar revolution' in archaeology: We will use a new generation of lidar technologies to greatly expand coverage in Southeast Asia, home to many of the most important and understudied rainforest landscapes. We will develop open access frameworks and infrastructures for aggregating, sharing and collaborating on new and existing lidar datasets. We will build on recent advances in artificial intelligence to develop generic models for automation and analysis, in order to move beyond localised, culturally-specific lidar applications. The net result of this work will be to create consistent, comparable datasets of human impacts on the Earth's surface, with a view to understanding trajectories of innovation and complexity in the tropical world from the deep past to the present.
Max ERC Funding
2 748 285 €
Duration
Start date: 2020-10-01, End date: 2025-09-30
Project acronym ARCTIC
Project Air Transport as Information and Computation
Researcher (PI) Massimiliano ZANIN
Host Institution (HI) AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
Country Spain
Call Details Starting Grant (StG), SH2, ERC-2019-STG
Summary Air transport has by and large been studied as a transportation process, in which different elements, e.g. aircraft or passengers, move within the system. While intuitive, this approach entails several drawbacks, including the need for large-scale simulations, the reliance on real data, and the difficulty of extracting macro-scale conclusions from large quantities of micro- scale results. The lack of a better approach is in part responsible for our inability to fully understand delay propagation, one of the most important phenomena in air transport. ARCTIC proposes an ambitious program to change the conceptual framework used to analyse air transport, inspired by the way the brain is studied in neuroscience. It is based on understanding air transport as an information processing system, in which the movement of aircraft is merely a vehicle for information transfer. Airports then become computational units, receiving information from their neighbours through inbound flights under the form of delays; processing it in a potentially non-linear way; and redistributing the result to the system as outbound delays. In this proposal I show how, as already common in neuroscience, such computation can be made explicit by using a combination of information sciences and statistical physics techniques: from the detection of information movements through causality metrics, up to the representation of the resulting transfer structures through complex networks and their topological properties. The approach also entails important challenges, e.g. the definition of appropriate metrics or the translation of the obtained insights into implementable policies. In the main text of the proposal I present a number of preliminary results that point towards a radically new way of thinking about the dynamics of air transport. ARCTIC’s methodology will be used over the next five years to characterize and model delay propagation, as well as to limit its societal and economic impact.
Summary
Air transport has by and large been studied as a transportation process, in which different elements, e.g. aircraft or passengers, move within the system. While intuitive, this approach entails several drawbacks, including the need for large-scale simulations, the reliance on real data, and the difficulty of extracting macro-scale conclusions from large quantities of micro- scale results. The lack of a better approach is in part responsible for our inability to fully understand delay propagation, one of the most important phenomena in air transport. ARCTIC proposes an ambitious program to change the conceptual framework used to analyse air transport, inspired by the way the brain is studied in neuroscience. It is based on understanding air transport as an information processing system, in which the movement of aircraft is merely a vehicle for information transfer. Airports then become computational units, receiving information from their neighbours through inbound flights under the form of delays; processing it in a potentially non-linear way; and redistributing the result to the system as outbound delays. In this proposal I show how, as already common in neuroscience, such computation can be made explicit by using a combination of information sciences and statistical physics techniques: from the detection of information movements through causality metrics, up to the representation of the resulting transfer structures through complex networks and their topological properties. The approach also entails important challenges, e.g. the definition of appropriate metrics or the translation of the obtained insights into implementable policies. In the main text of the proposal I present a number of preliminary results that point towards a radically new way of thinking about the dynamics of air transport. ARCTIC’s methodology will be used over the next five years to characterize and model delay propagation, as well as to limit its societal and economic impact.
Max ERC Funding
1 297 024 €
Duration
Start date: 2020-03-01, End date: 2025-02-28
Project acronym ARGPHENO
Project Using hidden genealogical structure to study the architecture of human disease
Researcher (PI) Pier Francesco Palamara
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Country United Kingdom
Call Details Starting Grant (StG), LS2, ERC-2019-STG
Summary Large-scale genome-wide association studies (GWAS) have yielded thousands of genetic as-sociations to heritable traits, but for most common diseases, these signals collectively explain only a small fraction of phenotypic variation. The phenotypic impact of recent, rare genetic variants, in particular, is poorly understood, but currently available data sets and analytical tools cannot be used to effectively study this class of variation. To address this problem, we propose to develop new computational methodology that will enable studying the phenotypic role of recent, rare genetic variation. This will improve our understanding of the architecture of heritable complex traits, inform the design of future studies, and increase our ability to detect novel associations.
This project will address three specific aims. The first aim is to devise new methods to accurately reconstruct the complex network of genealogical relationships of individuals using high/low-coverage sequencing or microarray data. The second is to leverage these genealogical structures to infer the presence of unobserved genetic variation, with the goal of analyzing variance components of narrow sense heritability attributable to rare variants and studying the evolutionary history of heritable traits. Finally, in the third aim, we will develop new approaches to detect association to both rare and common variants, increasing the statistical power of GWAS methodology.
Summary
Large-scale genome-wide association studies (GWAS) have yielded thousands of genetic as-sociations to heritable traits, but for most common diseases, these signals collectively explain only a small fraction of phenotypic variation. The phenotypic impact of recent, rare genetic variants, in particular, is poorly understood, but currently available data sets and analytical tools cannot be used to effectively study this class of variation. To address this problem, we propose to develop new computational methodology that will enable studying the phenotypic role of recent, rare genetic variation. This will improve our understanding of the architecture of heritable complex traits, inform the design of future studies, and increase our ability to detect novel associations.
This project will address three specific aims. The first aim is to devise new methods to accurately reconstruct the complex network of genealogical relationships of individuals using high/low-coverage sequencing or microarray data. The second is to leverage these genealogical structures to infer the presence of unobserved genetic variation, with the goal of analyzing variance components of narrow sense heritability attributable to rare variants and studying the evolutionary history of heritable traits. Finally, in the third aim, we will develop new approaches to detect association to both rare and common variants, increasing the statistical power of GWAS methodology.
Max ERC Funding
1 499 665 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym ARiAT
Project Advanced Reasoning in Arithmetic Theories
Researcher (PI) Christoph HAASE
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Country United Kingdom
Call Details Starting Grant (StG), PE6, ERC-2019-STG
Summary Arithmetic theories are logical theories for reasoning about number
systems, such as the integers and reals. Such theories find a
plethora of applications across computer science, including in
algorithmic verification, artificial intelligence, and compiler
optimisation. The appeal of arithmetic theories is their generality:
once a problem has been formalised in a decidable such theory, a
dedicated solver can in principle be used in a push-button fashion
to obtain a solution. Arithmetic theories are also of great
importance for showing decidability and complexity results in a
variety of domains.
Decision procedures for quantifier-free and linear fragments of
arithmetic theories have been among the most intensively studied and
impactful topics in theoretical computer science. However, emerging
applications require more expressive theories, including support for
quantifiers, counting, and non-linear functions. Unfortunately, the
lack of understanding of the computational properties of such
extensions means that existing decision procedures are not
applicable or do not scale.
The overall goal of this proposal is to advance the state-of-the-art
in decision procedures for expressive arithmetic theories. To this
end, starting with a recent breakthrough made by the PI, we will
develop novel and optimal quantifier-elimination procedures for
linear arithmetic theories, which we plan to eventually integrate
into mainstream SMT solvers. Furthermore, we aim to improve
complexity bounds and push the decidability frontier of extensions
of arithmetic theories with counting and non-linear operations. The
proposed research requires to tackle long-standing open
problems---some of them being decades old. In short, the project
will lay algorithmic foundations on which next-generation decision
procedures and reasoners for arithmetic theories will be built.
Summary
Arithmetic theories are logical theories for reasoning about number
systems, such as the integers and reals. Such theories find a
plethora of applications across computer science, including in
algorithmic verification, artificial intelligence, and compiler
optimisation. The appeal of arithmetic theories is their generality:
once a problem has been formalised in a decidable such theory, a
dedicated solver can in principle be used in a push-button fashion
to obtain a solution. Arithmetic theories are also of great
importance for showing decidability and complexity results in a
variety of domains.
Decision procedures for quantifier-free and linear fragments of
arithmetic theories have been among the most intensively studied and
impactful topics in theoretical computer science. However, emerging
applications require more expressive theories, including support for
quantifiers, counting, and non-linear functions. Unfortunately, the
lack of understanding of the computational properties of such
extensions means that existing decision procedures are not
applicable or do not scale.
The overall goal of this proposal is to advance the state-of-the-art
in decision procedures for expressive arithmetic theories. To this
end, starting with a recent breakthrough made by the PI, we will
develop novel and optimal quantifier-elimination procedures for
linear arithmetic theories, which we plan to eventually integrate
into mainstream SMT solvers. Furthermore, we aim to improve
complexity bounds and push the decidability frontier of extensions
of arithmetic theories with counting and non-linear operations. The
proposed research requires to tackle long-standing open
problems---some of them being decades old. In short, the project
will lay algorithmic foundations on which next-generation decision
procedures and reasoners for arithmetic theories will be built.
Max ERC Funding
1 481 864 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym ArmEn
Project Armenia Entangled: Connectivity and Cultural Encounters in Medieval Eurasia
Researcher (PI) Zaroui POGOSSIAN
Host Institution (HI) UNIVERSITA DEGLI STUDI DI FIRENZE
Country Italy
Call Details Consolidator Grant (CoG), SH6, ERC-2019-COG
Summary ArmEn seeks to establish a new framework for studying the southern Caucasus, eastern Anatolia and northern Mesopotamia (CAM) as a space of cultural entanglements between the 9th to 14th centuries. It argues that this region is key to understanding the history of medieval Eurasia but has so far been completely neglected by the burgeoning field of Global Middle Ages. The CAM was on the crossroads of expanding Eurasian empires and population movements, but was removed from major hubs of power. Poly-centrism; political, ethno-linguistic, and religious heterogeneity; frequently shifting hegemonic hierarchies were key aspects of its, nevertheless, inter-connected landscape. This fluidity and complexity left its mark on the cultural products – textual and material – created in the CAM. ArmEn aims to trace shared features in the multi-lingual textual and artistic production of CAM and correlate them to the circulation of ideas and concepts, as well as to real-life interactions, between multiple groups, identifying the locations and agents of entanglements. The large but under-utilised body of Armenian sources to be explored together with those in Arabic, Georgian, Greek, Persian, Syriac, and Turkish, will illuminate cultural entanglements between Muslim and Christian Arabs, Byzantines, Syriac Christians, Georgians, Caucasian Albanians, Turko-Muslim dynasties, Kurds, Iranians, Western Europeans, and Mongols, that inhabited, conquered, or passed through and produced cultural goods in CAM. Evidence from manuscript illuminations and numismatics will provide a material cultural dimension to the analysis. ArmEn will create a trans-cultural vision of the CAM, bridging area studies into a unifying framework, bringing together various disciplinary approaches (philology, literary criticism, religious studies, art history, numismatics, etc.), to build a narrative synthesis in which the dynamics of cross-cultural entanglements in the CAM emerge in their spatial and temporal dimensions.
Summary
ArmEn seeks to establish a new framework for studying the southern Caucasus, eastern Anatolia and northern Mesopotamia (CAM) as a space of cultural entanglements between the 9th to 14th centuries. It argues that this region is key to understanding the history of medieval Eurasia but has so far been completely neglected by the burgeoning field of Global Middle Ages. The CAM was on the crossroads of expanding Eurasian empires and population movements, but was removed from major hubs of power. Poly-centrism; political, ethno-linguistic, and religious heterogeneity; frequently shifting hegemonic hierarchies were key aspects of its, nevertheless, inter-connected landscape. This fluidity and complexity left its mark on the cultural products – textual and material – created in the CAM. ArmEn aims to trace shared features in the multi-lingual textual and artistic production of CAM and correlate them to the circulation of ideas and concepts, as well as to real-life interactions, between multiple groups, identifying the locations and agents of entanglements. The large but under-utilised body of Armenian sources to be explored together with those in Arabic, Georgian, Greek, Persian, Syriac, and Turkish, will illuminate cultural entanglements between Muslim and Christian Arabs, Byzantines, Syriac Christians, Georgians, Caucasian Albanians, Turko-Muslim dynasties, Kurds, Iranians, Western Europeans, and Mongols, that inhabited, conquered, or passed through and produced cultural goods in CAM. Evidence from manuscript illuminations and numismatics will provide a material cultural dimension to the analysis. ArmEn will create a trans-cultural vision of the CAM, bridging area studies into a unifying framework, bringing together various disciplinary approaches (philology, literary criticism, religious studies, art history, numismatics, etc.), to build a narrative synthesis in which the dynamics of cross-cultural entanglements in the CAM emerge in their spatial and temporal dimensions.
Max ERC Funding
1 999 994 €
Duration
Start date: 2020-10-01, End date: 2025-09-30
Project acronym ARO-MAT
Project Nanoscale Aromaticity and Supramolecular Electronic Materials
Researcher (PI) Harry ANDERSON
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Country United Kingdom
Call Details Advanced Grant (AdG), PE5, ERC-2019-ADG
Summary ARO-MAT will target emergent cooperative electronic and magnetic phenomena in molecules with dimensions of 5–25 nm (i.e. as big as many proteins). The project will develop supramolecular architectures with large pi-systems and well-defined geometries, in which the frontier orbitals coherently delocalize charge over the whole nanostructure. Aromaticity is a key emergent phenomenon; it can be defined as the ability of a cyclic molecule to sustain a ring current when placed in a magnetic field. Until recently, it was thought that aromaticity is restricted to small molecules, with circuits of less than about 22 pi-electrons. Anderson has shown that circuits of more than 160 pi-electrons (circumference > 15 nm) can exhibit strong aromatic ring currents. Testing even larger rings will elucidate the link between aromaticity and the persistent currents found in non-molecular mesoscopic rings (diameter 50–500 nm). ARO-MAT will explore the effects of molecular size and topology on nanoscale aromaticity. Other emergent phenomena to be addressed include the formation of open-shell singlet polyradical ground states, magnetic bistability in systems with many paramagnetic metal centers, and the control of charge transport through single-molecule devices by quantum interference. This multidisciplinary project combines organic synthesis, supramolecular chemistry, theory, electronic structure calculations, NMR and EPR spectroscopy, magnetochemistry, molecular electronics and low-temperature charge transport experiments. The core objective is to create low band gap materials with unprecedented electronic and magnetic properties, and to understand the structure-property relationships governing the behavior of these new materials. Most of the target structures are based on metalloporphyrins because of their redox activity, stability, structural versatility, suitability for template-directed synthesis and ability to position multiple strongly coupled paramagnetic metal centers.
Summary
ARO-MAT will target emergent cooperative electronic and magnetic phenomena in molecules with dimensions of 5–25 nm (i.e. as big as many proteins). The project will develop supramolecular architectures with large pi-systems and well-defined geometries, in which the frontier orbitals coherently delocalize charge over the whole nanostructure. Aromaticity is a key emergent phenomenon; it can be defined as the ability of a cyclic molecule to sustain a ring current when placed in a magnetic field. Until recently, it was thought that aromaticity is restricted to small molecules, with circuits of less than about 22 pi-electrons. Anderson has shown that circuits of more than 160 pi-electrons (circumference > 15 nm) can exhibit strong aromatic ring currents. Testing even larger rings will elucidate the link between aromaticity and the persistent currents found in non-molecular mesoscopic rings (diameter 50–500 nm). ARO-MAT will explore the effects of molecular size and topology on nanoscale aromaticity. Other emergent phenomena to be addressed include the formation of open-shell singlet polyradical ground states, magnetic bistability in systems with many paramagnetic metal centers, and the control of charge transport through single-molecule devices by quantum interference. This multidisciplinary project combines organic synthesis, supramolecular chemistry, theory, electronic structure calculations, NMR and EPR spectroscopy, magnetochemistry, molecular electronics and low-temperature charge transport experiments. The core objective is to create low band gap materials with unprecedented electronic and magnetic properties, and to understand the structure-property relationships governing the behavior of these new materials. Most of the target structures are based on metalloporphyrins because of their redox activity, stability, structural versatility, suitability for template-directed synthesis and ability to position multiple strongly coupled paramagnetic metal centers.
Max ERC Funding
2 491 625 €
Duration
Start date: 2020-10-01, End date: 2025-09-30
Project acronym ArtsAutonomy
Project The Arts of Autonomy: Pamphleteering, Popular Philology, and the Public Sphere, 1988-2018
Researcher (PI) Pierre Heli Wilhelm Monot
Host Institution (HI) LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Country Germany
Call Details Starting Grant (StG), SH5, ERC-2019-STG
Summary Concise, massively ideological texts have long been perceived as constitutive of the development and transformation of opinion and policy in the public sphere. At least since the early Enlightenment, the pamphlet has been at the forefront of major philosophical, social, and political transformations, including processes of democratization and dedemocratization, colonization and decolonization, the universalization of civil and civic rights, the enforcement of political or territorial autonomy, and the critique of labor exploitation. Since the fall of the Berlin Wall, pamphleteering has reemerged as a vital transformative and polemical force in liberal Western societies, prompting often polarized discussions of contentious issues. By integrating philological, historical, and politological research perspectives, ArtsAutonomy will produce a first systematic, large-scale account of contemporary pamphleteering and shed new light on the perceived ongoing radicalization of political, cultural, and social ideals and discourses in contemporary Europe and the United States. We intend to achieve our epistemic goals by studying “pamphletary events”, i.e. events which unfold in the public sphere and which engage both a pamphletary text and interpretative competences widely distributed among the general reading public. ArtsAutonomy will produce several thematically organized case studies of pamphletary events, including analytic “slices” of evolving public opinion on pamphletary statements, as recorded in transcripts of public deliberations, open letters, online commentary, user and consumer feedback, and social media. Our multidisciplinary approach will provide a unique insight into the concrete current political agency of one of the oldest literary forms, as well as into the philological-interpretative competences upon which pamphletary events and their normalization are predicated.
Summary
Concise, massively ideological texts have long been perceived as constitutive of the development and transformation of opinion and policy in the public sphere. At least since the early Enlightenment, the pamphlet has been at the forefront of major philosophical, social, and political transformations, including processes of democratization and dedemocratization, colonization and decolonization, the universalization of civil and civic rights, the enforcement of political or territorial autonomy, and the critique of labor exploitation. Since the fall of the Berlin Wall, pamphleteering has reemerged as a vital transformative and polemical force in liberal Western societies, prompting often polarized discussions of contentious issues. By integrating philological, historical, and politological research perspectives, ArtsAutonomy will produce a first systematic, large-scale account of contemporary pamphleteering and shed new light on the perceived ongoing radicalization of political, cultural, and social ideals and discourses in contemporary Europe and the United States. We intend to achieve our epistemic goals by studying “pamphletary events”, i.e. events which unfold in the public sphere and which engage both a pamphletary text and interpretative competences widely distributed among the general reading public. ArtsAutonomy will produce several thematically organized case studies of pamphletary events, including analytic “slices” of evolving public opinion on pamphletary statements, as recorded in transcripts of public deliberations, open letters, online commentary, user and consumer feedback, and social media. Our multidisciplinary approach will provide a unique insight into the concrete current political agency of one of the oldest literary forms, as well as into the philological-interpretative competences upon which pamphletary events and their normalization are predicated.
Max ERC Funding
1 229 665 €
Duration
Start date: 2020-03-01, End date: 2025-02-28
Project acronym ASENT
Project Foundations of Animal Sentience
Researcher (PI) Jonathan BIRCH
Host Institution (HI) LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Country United Kingdom
Call Details Starting Grant (StG), SH4, ERC-2019-STG
Summary The goal of ASENT is to construct solid conceptual and methodological foundations for the science of animal sentience.
The term sentience refers to an animal’s subjective experience of the world and of its own body. In recent years, an interdisciplinary community of animal sentience researchers, drawn from neuroscience, comparative psychology, evolutionary biology, animal welfare science and philosophy, has begun to emerge. However, the field is characterized by foundational controversy over the nature of sentience and the criteria for its attribution, leading to heated debate over the presence or absence of sentience in fish and in invertebrates such as cephalopods and arthropods.
ASENT aims to find ways to resolve these debates, enabling researchers to move beyond the impasses that result from deep foundational disagreement. What is needed is a conceptual framework for thinking about sentience as an evolved phenomenon that varies along several dimensions, a deeper understanding of how these dimensions of sentience relate to measurable aspects of animal behaviour and the nervous system, and a richer picture of the links between sentience, welfare and the ethical status of animals.
ASENT will answer this need by providing:
1. An account of the basic functional capacities involved in sentience, and an evaluation of which capacities justify us in regarding an animal as a sentience candidate.
2. An overarching conceptual framework for understanding the dimensions along which sentience varies across the animal kingdom, based on distinguishing multiple structural properties of sentience;
3. A scheme of proposed experimental tests for constructing a species’ most likely sentience profile with reference to these dimensions, implemented with scientific collaborators using bees as a test case.
4. An assessment of which dimensions of sentience are most relevant to animal welfare and to the ethical status of animals.
Summary
The goal of ASENT is to construct solid conceptual and methodological foundations for the science of animal sentience.
The term sentience refers to an animal’s subjective experience of the world and of its own body. In recent years, an interdisciplinary community of animal sentience researchers, drawn from neuroscience, comparative psychology, evolutionary biology, animal welfare science and philosophy, has begun to emerge. However, the field is characterized by foundational controversy over the nature of sentience and the criteria for its attribution, leading to heated debate over the presence or absence of sentience in fish and in invertebrates such as cephalopods and arthropods.
ASENT aims to find ways to resolve these debates, enabling researchers to move beyond the impasses that result from deep foundational disagreement. What is needed is a conceptual framework for thinking about sentience as an evolved phenomenon that varies along several dimensions, a deeper understanding of how these dimensions of sentience relate to measurable aspects of animal behaviour and the nervous system, and a richer picture of the links between sentience, welfare and the ethical status of animals.
ASENT will answer this need by providing:
1. An account of the basic functional capacities involved in sentience, and an evaluation of which capacities justify us in regarding an animal as a sentience candidate.
2. An overarching conceptual framework for understanding the dimensions along which sentience varies across the animal kingdom, based on distinguishing multiple structural properties of sentience;
3. A scheme of proposed experimental tests for constructing a species’ most likely sentience profile with reference to these dimensions, implemented with scientific collaborators using bees as a test case.
4. An assessment of which dimensions of sentience are most relevant to animal welfare and to the ethical status of animals.
Max ERC Funding
1 499 864 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym ASTEASY
Project INNOVATIVE AND EFFICIENT SOLUTION FOR PRODUCTION IN MICROALGAE OF EASILY EXTRACTIBLE AND HIGHLY PURE ASTAXANTHIN FOR ADDED-VALUE PRODUCTS
Researcher (PI) Matteo BALLOTTARI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI VERONA
Country Italy
Call Details Proof of Concept (PoC), ERC-2019-PoC
Summary Astaxanthin is a carotenoid with a high commercial value. Its high anti-oxidant activity makes Astaxanthin being used as a food/feed supplements, in cosmetics, and in nutraceutics. Microalgae are the main primary sources of Astaxanthin, being produced at industrial level mainly by cultivation of the green alga Haematococcus pluvialis with high costs for cultivation and extraction, hindering its market.
In the ERC-StG-SOLENALGAE project the investigation of the role of carotenoids in photoprotection in microalgae led to the development of an innovative platform for Astaxanthin production. Strains with high Astaxanthin accumulation were indeed obtained by metabolic engineering in the green alga Chlamydomonas reinhardtii (usually not accumulating Astaxanthin), producing up to 4 mg/L per day in non-optimized growth conditions. Astaxanthin production by bkt15 strain revealed unique advantages compared to other source of natural Astaxanthin: production of Astaxanthin in continuous, in a single cultivation step; high bio-accessibility for animal or human assimilation; easier extraction of astaxanthin even without costly cell pre-treatments; lower extraction costs and no contamination from oxidant molecules as chlorophylls during extraction process. These advantages lead to a potential increase in pure Astaxanthin productivity up to 16-fold higher than the current methods.
ASTEASY PoC aims to the technological development of the new system, by optimizing the cultivation conditions and extraction processes of Astaxanthin from the bkt15 strain and validating the performances in 60 litres demonstrator units. We will also identify and protect the IP generated and analyse the certification needed for commercialization. A business plan will be drafted as a result of interactions with stakeholders and literature analysis, to define market size and trends, and consolidate the business model (Astaxanthin production through a dedicated spin-off vs licensing to Astaxanthin producers).
Summary
Astaxanthin is a carotenoid with a high commercial value. Its high anti-oxidant activity makes Astaxanthin being used as a food/feed supplements, in cosmetics, and in nutraceutics. Microalgae are the main primary sources of Astaxanthin, being produced at industrial level mainly by cultivation of the green alga Haematococcus pluvialis with high costs for cultivation and extraction, hindering its market.
In the ERC-StG-SOLENALGAE project the investigation of the role of carotenoids in photoprotection in microalgae led to the development of an innovative platform for Astaxanthin production. Strains with high Astaxanthin accumulation were indeed obtained by metabolic engineering in the green alga Chlamydomonas reinhardtii (usually not accumulating Astaxanthin), producing up to 4 mg/L per day in non-optimized growth conditions. Astaxanthin production by bkt15 strain revealed unique advantages compared to other source of natural Astaxanthin: production of Astaxanthin in continuous, in a single cultivation step; high bio-accessibility for animal or human assimilation; easier extraction of astaxanthin even without costly cell pre-treatments; lower extraction costs and no contamination from oxidant molecules as chlorophylls during extraction process. These advantages lead to a potential increase in pure Astaxanthin productivity up to 16-fold higher than the current methods.
ASTEASY PoC aims to the technological development of the new system, by optimizing the cultivation conditions and extraction processes of Astaxanthin from the bkt15 strain and validating the performances in 60 litres demonstrator units. We will also identify and protect the IP generated and analyse the certification needed for commercialization. A business plan will be drafted as a result of interactions with stakeholders and literature analysis, to define market size and trends, and consolidate the business model (Astaxanthin production through a dedicated spin-off vs licensing to Astaxanthin producers).
Max ERC Funding
150 000 €
Duration
Start date: 2020-03-01, End date: 2021-08-31