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 AROMA-CFD
Project Advanced Reduced Order Methods with Applications in Computational Fluid Dynamics
Researcher (PI) Gianluigi Rozza
Host Institution (HI) SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
Country Italy
Call Details Consolidator Grant (CoG), PE1, ERC-2015-CoG
Summary The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.
Summary
The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.
Max ERC Funding
1 656 579 €
Duration
Start date: 2016-05-01, End date: 2021-10-31
Project acronym ARS
Project Autonomous Robotic Surgery
Researcher (PI) Paolo FIORINI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI VERONA
Country Italy
Call Details Advanced Grant (AdG), PE7, ERC-2016-ADG
Summary The goal of the ARS project is the derivation of a unified framework for the autonomous execution of robotic tasks in challenging environments in which accurate performance and safety are of paramount importance. We have chosen surgery as the research scenario because of its importance, its intrinsic challenges, and the presence of three factors that make this project feasible and timely. In fact, we have recently concluded the I-SUR project demonstrating the feasibility of autonomous surgical actions, we have access to the first big data made available to researchers of clinical robotic surgeries, and we will be able to demonstrate the project results on the high performance surgical robot “da Vinci Research Kit”. The impact of autonomous robots on the workforce is a current subject of discussion, but surgical autonomy will be welcome by the medical personnel, e.g. to carry out simple intervention steps, react faster to unexpected events, or monitor the insurgence of fatigue. The framework for autonomous robotic surgery will include five main research objectives. The first will address the analysis of robotic surgery data set to extract action and knowledge models of the intervention. The second objective will focus on planning, which will consist of instantiating the intervention models to a patient specific anatomy. The third objective will address the design of the hybrid controllers for the discrete and continuous parts of the intervention. The fourth research objective will focus on real time reasoning to assess the intervention state and the overall surgical situation. Finally, the last research objective will address the verification, validation and benchmark of the autonomous surgical robotic capabilities. The research results to be achieved by ARS will contribute to paving the way towards enhancing autonomy and operational capabilities of service robots, with the ambitious goal of bridging the gap between robotic and human task execution capability.
Summary
The goal of the ARS project is the derivation of a unified framework for the autonomous execution of robotic tasks in challenging environments in which accurate performance and safety are of paramount importance. We have chosen surgery as the research scenario because of its importance, its intrinsic challenges, and the presence of three factors that make this project feasible and timely. In fact, we have recently concluded the I-SUR project demonstrating the feasibility of autonomous surgical actions, we have access to the first big data made available to researchers of clinical robotic surgeries, and we will be able to demonstrate the project results on the high performance surgical robot “da Vinci Research Kit”. The impact of autonomous robots on the workforce is a current subject of discussion, but surgical autonomy will be welcome by the medical personnel, e.g. to carry out simple intervention steps, react faster to unexpected events, or monitor the insurgence of fatigue. The framework for autonomous robotic surgery will include five main research objectives. The first will address the analysis of robotic surgery data set to extract action and knowledge models of the intervention. The second objective will focus on planning, which will consist of instantiating the intervention models to a patient specific anatomy. The third objective will address the design of the hybrid controllers for the discrete and continuous parts of the intervention. The fourth research objective will focus on real time reasoning to assess the intervention state and the overall surgical situation. Finally, the last research objective will address the verification, validation and benchmark of the autonomous surgical robotic capabilities. The research results to be achieved by ARS will contribute to paving the way towards enhancing autonomy and operational capabilities of service robots, with the ambitious goal of bridging the gap between robotic and human task execution capability.
Max ERC Funding
2 750 000 €
Duration
Start date: 2017-10-01, End date: 2023-09-30
Project acronym ArsNova
Project European Ars Nova: Multilingual Poetry and Polyphonic Song in the Late Middle Ages
Researcher (PI) Maria Sofia LANNUTTI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI FIRENZE
Country Italy
Call Details Advanced Grant (AdG), SH5, ERC-2017-ADG
Summary Dante Alighieri at the dawn of the 1300s, as well as Eustache Deschamps almost a century later, conceived poetry as music in itself. But what happens with poetry when it is involved in the complex architecture of polyphony? The aim of this project is to study for the first time the corpus of 14th- and early 15th-century poetry set to music by Ars Nova polyphonists (more than 1200 texts). This repertoire gathers different poetic and musical traditions, as shown by the multilingual anthologies copied during the last years of the Schism. The choice of this corpus is motivated by two primary goals: a) to offer a new interpretation of its meaning and function in the cultural and historical context, one that may be then applied to the rest of coeval European lyric poetry; b) to overcome current disciplinary divisions in order to generate a new methodological balance between the project’s two main fields of interest (Comparative Literature / Musicology). Most Ars Nova polyphonists were directly associated with religious institutions. In many texts, the language of courtly love expresses the values of caritas, the theological virtue that guides wise rulers and leads them to desire the common good. Thus, the poetic figure of the lover becomes a metaphor for the political man, and love poetry can be used as a device for diplomacy, as well as for personal and institutional propaganda. From this unprecedented point of view, the project will develop three research lines in response to the following questions: 1) How is the relationship between poetry and music, and how is the dialogue between the different poetic and musical traditions viewed in relation to each context of production? 2) To what extent does Ars Nova poetry take part in the ‘soft power’ strategies exercised by the entire European political class of the time? 3) Is there a connection between the multilingualism of the manuscript tradition and the perception of the Ars Nova as a European, intercultural repertoire?
Summary
Dante Alighieri at the dawn of the 1300s, as well as Eustache Deschamps almost a century later, conceived poetry as music in itself. But what happens with poetry when it is involved in the complex architecture of polyphony? The aim of this project is to study for the first time the corpus of 14th- and early 15th-century poetry set to music by Ars Nova polyphonists (more than 1200 texts). This repertoire gathers different poetic and musical traditions, as shown by the multilingual anthologies copied during the last years of the Schism. The choice of this corpus is motivated by two primary goals: a) to offer a new interpretation of its meaning and function in the cultural and historical context, one that may be then applied to the rest of coeval European lyric poetry; b) to overcome current disciplinary divisions in order to generate a new methodological balance between the project’s two main fields of interest (Comparative Literature / Musicology). Most Ars Nova polyphonists were directly associated with religious institutions. In many texts, the language of courtly love expresses the values of caritas, the theological virtue that guides wise rulers and leads them to desire the common good. Thus, the poetic figure of the lover becomes a metaphor for the political man, and love poetry can be used as a device for diplomacy, as well as for personal and institutional propaganda. From this unprecedented point of view, the project will develop three research lines in response to the following questions: 1) How is the relationship between poetry and music, and how is the dialogue between the different poetic and musical traditions viewed in relation to each context of production? 2) To what extent does Ars Nova poetry take part in the ‘soft power’ strategies exercised by the entire European political class of the time? 3) Is there a connection between the multilingualism of the manuscript tradition and the perception of the Ars Nova as a European, intercultural repertoire?
Max ERC Funding
2 193 375 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym ASNODEV
Project Aspirations Social Norms and Development
Researcher (PI) Eliana LA FERRARA
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Country Italy
Call Details Advanced Grant (AdG), SH1, ERC-2015-AdG
Summary Development economists and policymakers often face scenarios in which poor people do not make choices that would help them get out of poverty due to an “aspiration failure”: the poor perceive certain goals as unattainable and do not invest towards those goals, thus perpetuating their own state of poverty. The aim of this proposal is to improve our understanding of the relationship between aspirations and socio-economic outcomes of disadvantaged individuals, in order to answer the question: Can we design policy interventions that shift aspirations in a way that is conducive to development?
In addressing the above question a fundamental role is played by social norms and by the ability of individuals to coordinate on “new” aspirations, hence the analysis of social effects is a salient feature of this proposal.
The proposed research is organized in two workpackages. The first focuses on the media as a vehicle for changing aspirations, examining both commercial TV programs and “educational entertainment”. The second workpackage examines “tailored” interventions designed to address specific determinants of aspiration failures (e.g., psychological support to reduce perceived barriers; inter-racial interaction to change stereotypes; institutional reform to strengthen women’s rights and reduce the gender aspiration gap).
The methodology will involve rigorous evaluation of several interventions directly designed to or indirectly affecting aspirations and social norms. Original data collected through survey work, large administrative datasets and media content analysis will be used.
The results of this project will advance our knowledge on the sources of aspiration failures by poor people and on the interplay between aspirations and social norms, eventually opening the avenue for a new array of anti-poverty policies.
Summary
Development economists and policymakers often face scenarios in which poor people do not make choices that would help them get out of poverty due to an “aspiration failure”: the poor perceive certain goals as unattainable and do not invest towards those goals, thus perpetuating their own state of poverty. The aim of this proposal is to improve our understanding of the relationship between aspirations and socio-economic outcomes of disadvantaged individuals, in order to answer the question: Can we design policy interventions that shift aspirations in a way that is conducive to development?
In addressing the above question a fundamental role is played by social norms and by the ability of individuals to coordinate on “new” aspirations, hence the analysis of social effects is a salient feature of this proposal.
The proposed research is organized in two workpackages. The first focuses on the media as a vehicle for changing aspirations, examining both commercial TV programs and “educational entertainment”. The second workpackage examines “tailored” interventions designed to address specific determinants of aspiration failures (e.g., psychological support to reduce perceived barriers; inter-racial interaction to change stereotypes; institutional reform to strengthen women’s rights and reduce the gender aspiration gap).
The methodology will involve rigorous evaluation of several interventions directly designed to or indirectly affecting aspirations and social norms. Original data collected through survey work, large administrative datasets and media content analysis will be used.
The results of this project will advance our knowledge on the sources of aspiration failures by poor people and on the interplay between aspirations and social norms, eventually opening the avenue for a new array of anti-poverty policies.
Max ERC Funding
1 618 125 €
Duration
Start date: 2016-11-01, End date: 2021-10-31
Project acronym AST
Project Automatic System Testing
Researcher (PI) Leonardo MARIANI
Host Institution (HI) UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Country Italy
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary Verifying the correctness of software systems requires extensive and expensive testing sessions. While there are tools and methodologies to efficiently address unit and integration testing, system testing is still largely the result of manual effort.
Testing software applications at the system level requires executing the applications through their interfaces to verify the correctness of their functionalities and stimulate all their layers and components. Automating just part of this process can dramatically improve the effectiveness of verification activities and significantly reduce development costs, relevantly alleviating developers from their verification effort.
This project addresses the development of a pre-commercial tool that has the unique capability of efficiently and automatically generating semantically-relevant system test cases equipped with functional oracles. This capability derives from the AUGUSTO technique, which is an outcome of the Learn ERC project. The idea behind Augusto is to exploit the common-sense knowledge, that is, the background knowledge that every computer user has and that normally lets her/him use software applications without the need of accessing any documentation or manual. Once this knowledge is represented abstractly and then embedded in AUGUSTO, the technique can automatically adapt its definition to the software under test every time a program is tested.
This development work will be performed jointly with A company that produces and markets testing tools.
Summary
Verifying the correctness of software systems requires extensive and expensive testing sessions. While there are tools and methodologies to efficiently address unit and integration testing, system testing is still largely the result of manual effort.
Testing software applications at the system level requires executing the applications through their interfaces to verify the correctness of their functionalities and stimulate all their layers and components. Automating just part of this process can dramatically improve the effectiveness of verification activities and significantly reduce development costs, relevantly alleviating developers from their verification effort.
This project addresses the development of a pre-commercial tool that has the unique capability of efficiently and automatically generating semantically-relevant system test cases equipped with functional oracles. This capability derives from the AUGUSTO technique, which is an outcome of the Learn ERC project. The idea behind Augusto is to exploit the common-sense knowledge, that is, the background knowledge that every computer user has and that normally lets her/him use software applications without the need of accessing any documentation or manual. Once this knowledge is represented abstractly and then embedded in AUGUSTO, the technique can automatically adapt its definition to the software under test every time a program is tested.
This development work will be performed jointly with A company that produces and markets testing tools.
Max ERC Funding
150 000 €
Duration
Start date: 2019-01-01, End date: 2020-06-30
Project acronym ASTAOMEGA
Project IMPLEMENTATION OF A SUSTAINABLE AND COMPETITIVE SYSTEM TO SIMULTANEOUSLY PRODUCE ASTAXANTHIN AND OMEGA-3 FATTY ACIDS IN MICROALGAE FOR ACQUACULTURE AND HUMAN NUTRITION
Researcher (PI) Matteo BALLOTTARI
Host Institution (HI) UNIVERSITA DEGLI STUDI DI VERONA
Country Italy
Call Details Proof of Concept (PoC), ERC-2018-PoC
Summary This project aims at developing an innovative and commercially competitive production platform for high value products as Astaxanthin and Omega-3, to be used for human nutrition or aquaculture.
Astaxanthin is a pigment primary produced by microalgae: this carotenoid has a strong antioxidant power and it is used in different fields as healthcare, food/feed supplementation and as pigmenting agent in aquaculture. However, cultivation of the main microalgae species producing Astaxanthin is costly due to low biomass productivity or low Astaxanthin content, causing an extremely high price of this molecule on the market.
Marine microalgae are also the primary producers of Omega-3, very long chain fatty acids, essential components of high quality diets for humans, being related to cardiovascular wellness, and proper visual and cognitive development. However, due to the high cost of microalgae cultivation, the market of Omega-3 is mostly based on fish or krill oils, with high costs and environment impacts associated.
New sources of Astaxanthin and Omega-3 must thus be implemented: based on the results obtained in ERC-Stg-SOLENALGAE, an innovative, low cost and high productive strategy can be proposed for simultaneous Astaxanthin and Omega-3 production in the robust and fast growing marine microalgae species Nannochloropsis gaditana.
The main objectives of the ASTAOMEGA project will be:
1. To validate to a demonstration stage the ASTAOMEGA system
2. The assessment of the market size and market requirements, through extensive market analysis
3. The identification of the best suitable commercial route to be undertaken to take the ASTAOMEGA system to the market, as inception of a spin-off company and/or the licensing agreements on the IPR exploitation with the interested end-users (see LOIs).
The ASTAOMEGA team is confident that the outcomes of this project are poised to exert a beneficial impact on the European microalgae industry and nutraceuticals market
Summary
This project aims at developing an innovative and commercially competitive production platform for high value products as Astaxanthin and Omega-3, to be used for human nutrition or aquaculture.
Astaxanthin is a pigment primary produced by microalgae: this carotenoid has a strong antioxidant power and it is used in different fields as healthcare, food/feed supplementation and as pigmenting agent in aquaculture. However, cultivation of the main microalgae species producing Astaxanthin is costly due to low biomass productivity or low Astaxanthin content, causing an extremely high price of this molecule on the market.
Marine microalgae are also the primary producers of Omega-3, very long chain fatty acids, essential components of high quality diets for humans, being related to cardiovascular wellness, and proper visual and cognitive development. However, due to the high cost of microalgae cultivation, the market of Omega-3 is mostly based on fish or krill oils, with high costs and environment impacts associated.
New sources of Astaxanthin and Omega-3 must thus be implemented: based on the results obtained in ERC-Stg-SOLENALGAE, an innovative, low cost and high productive strategy can be proposed for simultaneous Astaxanthin and Omega-3 production in the robust and fast growing marine microalgae species Nannochloropsis gaditana.
The main objectives of the ASTAOMEGA project will be:
1. To validate to a demonstration stage the ASTAOMEGA system
2. The assessment of the market size and market requirements, through extensive market analysis
3. The identification of the best suitable commercial route to be undertaken to take the ASTAOMEGA system to the market, as inception of a spin-off company and/or the licensing agreements on the IPR exploitation with the interested end-users (see LOIs).
The ASTAOMEGA team is confident that the outcomes of this project are poised to exert a beneficial impact on the European microalgae industry and nutraceuticals market
Max ERC Funding
149 955 €
Duration
Start date: 2018-09-01, End date: 2020-02-29
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
Project acronym Asterochronometry
Project Galactic archeology with high temporal resolution
Researcher (PI) Andrea MIGLIO
Host Institution (HI) ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA
Country Italy
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary The Milky Way is a complex system, with dynamical and chemical substructures, where several competing processes such as mergers, internal secular evolution, gas accretion and gas flows take place. To study in detail how such a giant spiral galaxy was formed and evolved, we need to reconstruct the sequence of its main formation events with high (~10%) temporal resolution.
Asterochronometry will determine accurate, precise ages for tens of thousands of stars in the Galaxy. We will take an approach distinguished by a number of key aspects including, developing novel star-dating methods that fully utilise the potential of individual pulsation modes, coupled with a careful appraisal of systematic uncertainties on age deriving from our limited understanding of stellar physics.
We will then capitalise on opportunities provided by the timely availability of astrometric, spectroscopic, and asteroseismic data to build and data-mine chrono-chemo-dynamical maps of regions of the Milky Way probed by the space missions CoRoT, Kepler, K2, and TESS. We will quantify, by comparison with predictions of chemodynamical models, the relative importance of various processes which play a role in shaping the Galaxy, for example mergers and dynamical processes. We will use chrono-chemical tagging to look for evidence of aggregates, and precise and accurate ages to reconstruct the early star formation history of the Milky Way’s main constituents.
The Asterochronometry project will also provide stringent observational tests of stellar structure and answer some of the long-standing open questions in stellar modelling (e.g. efficiency of transport processes, mass loss on the giant branch, the occurrence of products of coalescence / mass exchange). These tests will improve our ability to determine stellar ages and chemical yields, with wide impact e.g. on the characterisation and ensemble studies of exoplanets, on evolutionary population synthesis, integrated colours and thus ages of galaxies.
Summary
The Milky Way is a complex system, with dynamical and chemical substructures, where several competing processes such as mergers, internal secular evolution, gas accretion and gas flows take place. To study in detail how such a giant spiral galaxy was formed and evolved, we need to reconstruct the sequence of its main formation events with high (~10%) temporal resolution.
Asterochronometry will determine accurate, precise ages for tens of thousands of stars in the Galaxy. We will take an approach distinguished by a number of key aspects including, developing novel star-dating methods that fully utilise the potential of individual pulsation modes, coupled with a careful appraisal of systematic uncertainties on age deriving from our limited understanding of stellar physics.
We will then capitalise on opportunities provided by the timely availability of astrometric, spectroscopic, and asteroseismic data to build and data-mine chrono-chemo-dynamical maps of regions of the Milky Way probed by the space missions CoRoT, Kepler, K2, and TESS. We will quantify, by comparison with predictions of chemodynamical models, the relative importance of various processes which play a role in shaping the Galaxy, for example mergers and dynamical processes. We will use chrono-chemical tagging to look for evidence of aggregates, and precise and accurate ages to reconstruct the early star formation history of the Milky Way’s main constituents.
The Asterochronometry project will also provide stringent observational tests of stellar structure and answer some of the long-standing open questions in stellar modelling (e.g. efficiency of transport processes, mass loss on the giant branch, the occurrence of products of coalescence / mass exchange). These tests will improve our ability to determine stellar ages and chemical yields, with wide impact e.g. on the characterisation and ensemble studies of exoplanets, on evolutionary population synthesis, integrated colours and thus ages of galaxies.
Max ERC Funding
1 958 863 €
Duration
Start date: 2018-04-01, End date: 2023-09-30
Project acronym ASTRA
Project ASsembly and phase Transitions of Ribonucleoprotein Aggregates in neurons: from physiology to pathology.
Researcher (PI) Irene BOZZONI, Giancarlo Ruocco, Gian Gaetano Tartaglia
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Country Italy
Call Details Synergy Grants (SyG), SyG, ERC-2019-SyG
Summary Recent works indicate the pathogenic relevance of altered RNA metabolism and aberrant ribonucleoprotein (RNP) assembly in several neurodegenerative diseases, such as Amyotrophic lateral sclerosis. How defective RNPs form, what are their integral components and which events trigger their appearance late in life are still unsolved issues. While emerging evidence indicates that mutations and post-translational modifications of specific RNA-binding proteins (RBPs) induce liquid-solid phase transition in vitro, much less is known about the in vivo properties of RNP assemblies and which role RNA plays in their formation.
ASTRA will combine sophisticated imaging-derived RNP complex purification with innovative computational approaches and powerful genetic tools to unravel the biophysical properties and composition of RBP complexes and how they are modified in disease conditions. Through the development of new imaging and optical methods we plan to study how RNPs separate in liquid and solid phases in cells, in tissues (retina) and animal models and to characterize their RNA and protein components in physiological and pathological states.
Exploiting the novel finding that non-coding RNAs act as scaffolding molecules for RNP assembly, we will investigate how such RNAs control the dynamic link between RNP formation, intracellular sorting and function. In a genuine interdisciplinary team effort, we will reveal how the architecture and localization of cytoplasmic RNP complexes are controlled in motor neurons and affected in neurodegeneration.
We plan to develop novel advanced microscopy methods to monitor formation of aberrant RNPs in vivo and we will explore new molecules to impede pathological cascades driven by RNP assemblies. In conclusion, ASTRA will allow us to gain a comprehensive understanding of RNP function and dysfunction; we will use this knowledge to develop new therapeutic strategies that will impact on several protein-misfolding neurodegenerative diseases.
Summary
Recent works indicate the pathogenic relevance of altered RNA metabolism and aberrant ribonucleoprotein (RNP) assembly in several neurodegenerative diseases, such as Amyotrophic lateral sclerosis. How defective RNPs form, what are their integral components and which events trigger their appearance late in life are still unsolved issues. While emerging evidence indicates that mutations and post-translational modifications of specific RNA-binding proteins (RBPs) induce liquid-solid phase transition in vitro, much less is known about the in vivo properties of RNP assemblies and which role RNA plays in their formation.
ASTRA will combine sophisticated imaging-derived RNP complex purification with innovative computational approaches and powerful genetic tools to unravel the biophysical properties and composition of RBP complexes and how they are modified in disease conditions. Through the development of new imaging and optical methods we plan to study how RNPs separate in liquid and solid phases in cells, in tissues (retina) and animal models and to characterize their RNA and protein components in physiological and pathological states.
Exploiting the novel finding that non-coding RNAs act as scaffolding molecules for RNP assembly, we will investigate how such RNAs control the dynamic link between RNP formation, intracellular sorting and function. In a genuine interdisciplinary team effort, we will reveal how the architecture and localization of cytoplasmic RNP complexes are controlled in motor neurons and affected in neurodegeneration.
We plan to develop novel advanced microscopy methods to monitor formation of aberrant RNPs in vivo and we will explore new molecules to impede pathological cascades driven by RNP assemblies. In conclusion, ASTRA will allow us to gain a comprehensive understanding of RNP function and dysfunction; we will use this knowledge to develop new therapeutic strategies that will impact on several protein-misfolding neurodegenerative diseases.
Max ERC Funding
7 741 799 €
Duration
Start date: 2020-03-01, End date: 2026-02-28
