Project acronym A-BINGOS
Project Accreting binary populations in Nearby Galaxies: Observations and Simulations
Researcher (PI) Andreas Zezas
Host Institution (HI) IDRYMA TECHNOLOGIAS KAI EREVNAS
Country Greece
Call Details Consolidator Grant (CoG), PE9, ERC-2013-CoG
Summary "High-energy observations of our Galaxy offer a good, albeit not complete, picture of the X-ray source populations, in particular the accreting binary sources. Recent ability to study accreting binaries in nearby galaxies has shown that we would be short-sighted if we restricted ourselves to our Galaxy or to a few nearby ones. I propose an ambitious project that involves a comprehensive study of all the galaxies within 10 Mpc for which we can study in detail their X-ray sources and stellar populations. The study will combine data from a unique suite of observatories (Chandra, XMM-Newton, HST, Spitzer) with state-of-the-art theoretical modelling of binary systems. I propose a novel approach that links the accreting binary populations to their parent stellar populations and surpasses any current studies of X-ray binary populations, both in scale and in scope, by: (a) combining methods and results from several different areas of astrophysics (compact objects, binary systems, stellar populations, galaxy evolution); (b) using data from almost the whole electromagnetic spectrum (infrared to X-ray bands); (c) identifying and studying the different sub-populations of accreting binaries; and (d) performing direct comparison between observations and theoretical predictions, over a broad parameter space. The project: (a) will answer the long-standing question of the formation efficiency of accreting binaries in different environments; and (b) will constrain their evolutionary paths. As by-products the project will provide eagerly awaited input to the fields of gravitational-wave sources, γ-ray bursts, and X-ray emitting galaxies at cosmological distances and it will produce a heritage multi-wavelength dataset and library of models for future studies of galaxies and accreting binaries."
Summary
"High-energy observations of our Galaxy offer a good, albeit not complete, picture of the X-ray source populations, in particular the accreting binary sources. Recent ability to study accreting binaries in nearby galaxies has shown that we would be short-sighted if we restricted ourselves to our Galaxy or to a few nearby ones. I propose an ambitious project that involves a comprehensive study of all the galaxies within 10 Mpc for which we can study in detail their X-ray sources and stellar populations. The study will combine data from a unique suite of observatories (Chandra, XMM-Newton, HST, Spitzer) with state-of-the-art theoretical modelling of binary systems. I propose a novel approach that links the accreting binary populations to their parent stellar populations and surpasses any current studies of X-ray binary populations, both in scale and in scope, by: (a) combining methods and results from several different areas of astrophysics (compact objects, binary systems, stellar populations, galaxy evolution); (b) using data from almost the whole electromagnetic spectrum (infrared to X-ray bands); (c) identifying and studying the different sub-populations of accreting binaries; and (d) performing direct comparison between observations and theoretical predictions, over a broad parameter space. The project: (a) will answer the long-standing question of the formation efficiency of accreting binaries in different environments; and (b) will constrain their evolutionary paths. As by-products the project will provide eagerly awaited input to the fields of gravitational-wave sources, γ-ray bursts, and X-ray emitting galaxies at cosmological distances and it will produce a heritage multi-wavelength dataset and library of models for future studies of galaxies and accreting binaries."
Max ERC Funding
1 242 000 €
Duration
Start date: 2014-04-01, End date: 2019-03-31
Project acronym ADAPTIVES
Project Algorithmic Development and Analysis of Pioneer Techniques for Imaging with waVES
Researcher (PI) Chrysoula Tsogka
Host Institution (HI) IDRYMA TECHNOLOGIAS KAI EREVNAS
Country Greece
Call Details Starting Grant (StG), PE1, ERC-2009-StG
Summary The proposed work concerns the theoretical and numerical development of robust and adaptive methodologies for broadband imaging in clutter. The word clutter expresses our uncertainty on the wave speed of the propagation medium. Our results are expected to have a strong impact in a wide range of applications, including underwater acoustics, exploration geophysics and ultrasound non-destructive testing. Our machinery is coherent interferometry (CINT), a state-of-the-art statistically stable imaging methodology, highly suitable for the development of imaging methods in clutter. We aim to extend CINT along two complementary directions: novel types of applications, and further mathematical and numerical development so as to assess and extend its range of applicability. CINT is designed for imaging with partially coherent array data recorded in richly scattering media. It uses statistical smoothing techniques to obtain results that are independent of the clutter realization. Quantifying the amount of smoothing needed is difficult, especially when there is no a priori knowledge about the propagation medium. We intend to address this question by coupling the imaging process with the estimation of the medium's large scale features. Our algorithms rely on the residual coherence in the data. When the coherent signal is too weak, the CINT results are unsatisfactory. We propose two ways for enhancing the resolution of CINT: filter the data prior to imaging (noise reduction) and waveform design (optimize the source distribution). Finally, we propose to extend the applicability of our imaging-in-clutter methodologies by investigating the possibility of utilizing ambient noise sources to perform passive sensor imaging, as well as by studying the imaging problem in random waveguides.
Summary
The proposed work concerns the theoretical and numerical development of robust and adaptive methodologies for broadband imaging in clutter. The word clutter expresses our uncertainty on the wave speed of the propagation medium. Our results are expected to have a strong impact in a wide range of applications, including underwater acoustics, exploration geophysics and ultrasound non-destructive testing. Our machinery is coherent interferometry (CINT), a state-of-the-art statistically stable imaging methodology, highly suitable for the development of imaging methods in clutter. We aim to extend CINT along two complementary directions: novel types of applications, and further mathematical and numerical development so as to assess and extend its range of applicability. CINT is designed for imaging with partially coherent array data recorded in richly scattering media. It uses statistical smoothing techniques to obtain results that are independent of the clutter realization. Quantifying the amount of smoothing needed is difficult, especially when there is no a priori knowledge about the propagation medium. We intend to address this question by coupling the imaging process with the estimation of the medium's large scale features. Our algorithms rely on the residual coherence in the data. When the coherent signal is too weak, the CINT results are unsatisfactory. We propose two ways for enhancing the resolution of CINT: filter the data prior to imaging (noise reduction) and waveform design (optimize the source distribution). Finally, we propose to extend the applicability of our imaging-in-clutter methodologies by investigating the possibility of utilizing ambient noise sources to perform passive sensor imaging, as well as by studying the imaging problem in random waveguides.
Max ERC Funding
690 000 €
Duration
Start date: 2010-06-01, End date: 2015-11-30
Project acronym ARMOS
Project Advanced multifunctional Reactors for green Mobility and Solar fuels
Researcher (PI) Athanasios Konstandopoulos
Host Institution (HI) ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Country Greece
Call Details Advanced Grant (AdG), PE8, ERC-2010-AdG_20100224
Summary Green Mobility requires an integrated approach to the chain fuel/engine/emissions. The present project aims at ground breaking advances in the area of Green Mobility by (a) enabling the production of affordable, carbon-neutral, clean, solar fuels using exclusively renewable/recyclable raw materials, namely solar energy, water and captured Carbon Dioxide from combustion power plants (b) developing a highly compact, multifunctional reactor, able to eliminate gaseous and particulate emissions from the exhaust of engines operated on such clean fuels.
The overall research approach will be based on material science, engineering and simulation technology developed by the PI over the past 20 years in the area of Diesel Emission Control Reactors, which will be further extended and cross-fertilized in the area of Solar Thermochemical Reactors, an emerging discipline of high importance for sustainable development, where the PI’s research group has already made significant contributions, and received the 2006 European Commission’s Descartes Prize for the development of the first ever solar reactor, holding the potential to produce on a large scale, pure renewable Hydrogen from the thermochemical splitting of water, also known as the HYDROSOL technology.
Summary
Green Mobility requires an integrated approach to the chain fuel/engine/emissions. The present project aims at ground breaking advances in the area of Green Mobility by (a) enabling the production of affordable, carbon-neutral, clean, solar fuels using exclusively renewable/recyclable raw materials, namely solar energy, water and captured Carbon Dioxide from combustion power plants (b) developing a highly compact, multifunctional reactor, able to eliminate gaseous and particulate emissions from the exhaust of engines operated on such clean fuels.
The overall research approach will be based on material science, engineering and simulation technology developed by the PI over the past 20 years in the area of Diesel Emission Control Reactors, which will be further extended and cross-fertilized in the area of Solar Thermochemical Reactors, an emerging discipline of high importance for sustainable development, where the PI’s research group has already made significant contributions, and received the 2006 European Commission’s Descartes Prize for the development of the first ever solar reactor, holding the potential to produce on a large scale, pure renewable Hydrogen from the thermochemical splitting of water, also known as the HYDROSOL technology.
Max ERC Funding
1 750 000 €
Duration
Start date: 2011-02-01, End date: 2017-01-31
Project acronym ASSESS
Project Episodic Mass Loss in the Most Massive Stars: Key to Understanding the Explosive Early Universe
Researcher (PI) Alceste BONANOS
Host Institution (HI) ETHNIKO ASTEROSKOPEIO ATHINON
Country Greece
Call Details Consolidator Grant (CoG), PE9, ERC-2017-COG
Summary Massive stars dominate their surroundings during their short lifetimes, while their explosive deaths impact the chemical evolution and spatial cohesion of their hosts. After birth, their evolution is largely dictated by their ability to remove layers of hydrogen from their envelopes. Multiple lines of evidence are pointing to violent, episodic mass-loss events being responsible for removing a large part of the massive stellar envelope, especially in low-metallicity galaxies. Episodic mass loss, however, is not understood theoretically, neither accounted for in state-of-the-art models of stellar evolution, which has far-reaching consequences for many areas of astronomy. We aim to determine whether episodic mass loss is a dominant process in the evolution of the most massive stars by conducting the first extensive, multi-wavelength survey of evolved massive stars in the nearby Universe. The project hinges on the fact that mass-losing stars form dust and are bright in the mid-infrared. We plan to (i) derive physical parameters of a large sample of dusty, evolved targets and estimate the amount of ejected mass, (ii) constrain evolutionary models, (iii) quantify the duration and frequency of episodic mass loss as a function of metallicity. The approach involves applying machine-learning algorithms to existing multi-band and time-series photometry of luminous sources in ~25 nearby galaxies. Dusty, luminous evolved massive stars will thus be automatically classified and follow-up spectroscopy will be obtained for selected targets. Atmospheric and SED modeling will yield parameters and estimates of time-dependent mass loss for ~1000 luminous stars. The emerging trend for the ubiquity of episodic mass loss, if confirmed, will be key to understanding the explosive early Universe and will have profound consequences for low-metallicity stars, reionization, and the chemical evolution of galaxies.
Summary
Massive stars dominate their surroundings during their short lifetimes, while their explosive deaths impact the chemical evolution and spatial cohesion of their hosts. After birth, their evolution is largely dictated by their ability to remove layers of hydrogen from their envelopes. Multiple lines of evidence are pointing to violent, episodic mass-loss events being responsible for removing a large part of the massive stellar envelope, especially in low-metallicity galaxies. Episodic mass loss, however, is not understood theoretically, neither accounted for in state-of-the-art models of stellar evolution, which has far-reaching consequences for many areas of astronomy. We aim to determine whether episodic mass loss is a dominant process in the evolution of the most massive stars by conducting the first extensive, multi-wavelength survey of evolved massive stars in the nearby Universe. The project hinges on the fact that mass-losing stars form dust and are bright in the mid-infrared. We plan to (i) derive physical parameters of a large sample of dusty, evolved targets and estimate the amount of ejected mass, (ii) constrain evolutionary models, (iii) quantify the duration and frequency of episodic mass loss as a function of metallicity. The approach involves applying machine-learning algorithms to existing multi-band and time-series photometry of luminous sources in ~25 nearby galaxies. Dusty, luminous evolved massive stars will thus be automatically classified and follow-up spectroscopy will be obtained for selected targets. Atmospheric and SED modeling will yield parameters and estimates of time-dependent mass loss for ~1000 luminous stars. The emerging trend for the ubiquity of episodic mass loss, if confirmed, will be key to understanding the explosive early Universe and will have profound consequences for low-metallicity stars, reionization, and the chemical evolution of galaxies.
Max ERC Funding
1 128 750 €
Duration
Start date: 2018-09-01, End date: 2023-08-31
Project acronym ATMOPACS
Project Atmospheric Organic Particulate Matter, Air Quality and Climate Change Studies
Researcher (PI) Spyridon Pandis
Host Institution (HI) IDRYMA TECHNOLOGIAS KAI EREVNAS
Country Greece
Call Details Advanced Grant (AdG), PE10, ERC-2010-AdG_20100224
Summary Despite its importance for human health and climate change organic aerosol (OA) remains one of the least understood aspects of atmospheric chemistry. We propose to develop an innovative new framework for the description of OA in chemical transport and climate models that will be able to overcome the challenges posed by the chemical complexity of OA while capturing its essential features.
The objectives of ATMOPACS are: (i) The development of a new unified framework for the description of OA based on its two most important parameters: volatility and oxygen content. (ii) The development of measurement techniques for the volatility distribution and oxygen content distribution of OA. This will allow the experimental characterization of OA in this new “coordinate system”. (iii) The study of the major OA processes (partitioning, chemical aging, hygroscopicity, CCN formation, nucleation) in this new framework combining lab and field measurements. (iv) The development and evaluation of the next generation of regional and global CTMs using the above framework. (v) The quantification of the importance of the various sources and formation pathways of OA in Europe and the world, of the sensitivity of OA to emission control strategies, and its role in the direct and indirect effects of aerosols on climate.
The proposed work involves a combination of laboratory measurements, field measurements including novel “atmospheric perturbation experiments”, OA model development, and modelling in urban, regional, and global scales. Therefore, it will span the system scales starting from the nanoscale to the global. The modelling tools that will be developed will be made available to all other research groups.
Summary
Despite its importance for human health and climate change organic aerosol (OA) remains one of the least understood aspects of atmospheric chemistry. We propose to develop an innovative new framework for the description of OA in chemical transport and climate models that will be able to overcome the challenges posed by the chemical complexity of OA while capturing its essential features.
The objectives of ATMOPACS are: (i) The development of a new unified framework for the description of OA based on its two most important parameters: volatility and oxygen content. (ii) The development of measurement techniques for the volatility distribution and oxygen content distribution of OA. This will allow the experimental characterization of OA in this new “coordinate system”. (iii) The study of the major OA processes (partitioning, chemical aging, hygroscopicity, CCN formation, nucleation) in this new framework combining lab and field measurements. (iv) The development and evaluation of the next generation of regional and global CTMs using the above framework. (v) The quantification of the importance of the various sources and formation pathways of OA in Europe and the world, of the sensitivity of OA to emission control strategies, and its role in the direct and indirect effects of aerosols on climate.
The proposed work involves a combination of laboratory measurements, field measurements including novel “atmospheric perturbation experiments”, OA model development, and modelling in urban, regional, and global scales. Therefore, it will span the system scales starting from the nanoscale to the global. The modelling tools that will be developed will be made available to all other research groups.
Max ERC Funding
2 496 000 €
Duration
Start date: 2011-01-01, End date: 2015-12-31
Project acronym BIOCARDE
Project Biosensing and surface characterization using a Cavity-Ring-Down Ellipsometer
Researcher (PI) Theodore Peter RAKITZIS
Host Institution (HI) IDRYMA TECHNOLOGIAS KAI EREVNAS
Country Greece
Call Details Proof of Concept (PoC), PC1, ERC-2011-PoC
Summary We propose to construct a pre-commercial microsecond-resolved, spectrally broadband, ellipsometer, based on our recently-developed, ERC-funded technique of cavity-ring-down ellipsometry (CRDE), for which we have a US and international (PCT) patents pending.
This BIOCARDE instrument will have unprecedented time resolution and sensitivity, compared to commercial ellipsometers, and will have potential application in the biosensing and surface characterization (semiconductor) industries.
The BIOCARDE instrument will be tested by the Biosensors group at FORTH (Prof. Gizeli), and by our industrial partners SOPRALAB in Paris (world-leading ellipsometry company).
Interest in the instrument will be from three directions:
1) Research groups in the biosensing and surface characterization fields. Instruments will be sold to these groups, which will increase the profile and research scope of CRDE.
2) SOPRALAB, is interested in the enabling technologies of the instrument (the combination of the broad-band laser and microsecond-resolved data acquisition)
3) Biosensing companies, as the BIOCARDE instrument will be made to be compatible with (and tested with) their commercial prisms and biosensing delivery systems, to prove that the new capabilities (microsecond ellipsometric detection) is compatible with their existing technologies.
Summary
We propose to construct a pre-commercial microsecond-resolved, spectrally broadband, ellipsometer, based on our recently-developed, ERC-funded technique of cavity-ring-down ellipsometry (CRDE), for which we have a US and international (PCT) patents pending.
This BIOCARDE instrument will have unprecedented time resolution and sensitivity, compared to commercial ellipsometers, and will have potential application in the biosensing and surface characterization (semiconductor) industries.
The BIOCARDE instrument will be tested by the Biosensors group at FORTH (Prof. Gizeli), and by our industrial partners SOPRALAB in Paris (world-leading ellipsometry company).
Interest in the instrument will be from three directions:
1) Research groups in the biosensing and surface characterization fields. Instruments will be sold to these groups, which will increase the profile and research scope of CRDE.
2) SOPRALAB, is interested in the enabling technologies of the instrument (the combination of the broad-band laser and microsecond-resolved data acquisition)
3) Biosensing companies, as the BIOCARDE instrument will be made to be compatible with (and tested with) their commercial prisms and biosensing delivery systems, to prove that the new capabilities (microsecond ellipsometric detection) is compatible with their existing technologies.
Max ERC Funding
150 000 €
Duration
Start date: 2012-07-01, End date: 2013-12-31
Project acronym CAUSALPATH
Project Next Generation Causal Analysis: Inspired by the Induction of Biological Pathways from Cytometry Data
Researcher (PI) Ioannis Tsamardinos
Host Institution (HI) PANEPISTIMIO KRITIS
Country Greece
Call Details Consolidator Grant (CoG), PE6, ERC-2013-CoG
Summary Discovering the causal mechanisms of a complex system of interacting components is necessary in order to control it. Computational Causal Discovery (CD) is a field that offers the potential to discover causal relations under certain conditions from observational data alone or with a limited number of interventions/manipulations.
An important, challenging biological problem that may take decades of experimental work is the induction of biological cellular pathways; pathways are informal causal models indispensable in biological research and drug design. Recent exciting advances in flow/mass cytometry biotechnology allow the generation of large-sample datasets containing measurements on single cells, thus setting the problem of pathway learning suitable for CD methods.
CAUSALPATH builds upon and further advances recent breakthrough developments in CD methods to enable the induction of biological pathways from cytometry and other omics data. As a testbed problem we focus on the differentiation of human T-cells; these are involved in autoimmune and inflammatory diseases, as well as cancer and thus, are targets of new drug development for a range of chronic diseases. The biological problem acts as our campus for general novel formalisms, practical algorithms, and useful tools development, pointing to fundamental CD problems: presence of feedback cycles, presence of latent confounding variables, CD from time-course data, Integrative Causal Analysis (INCA) of heterogeneous datasets and others.
Three features complement CAUSALPATH’s approach: (A) methods development will co-evolve with biological wet-lab experiments periodically testing the algorithmic postulates, (B) Open-source tools will be developed for the non-expert, and (C) Commercial exploitation of the results will be sought out.
CAUSALPATH brings together an interdisciplinary team, committed to this vision. It builds upon the PI’s group recent important results on INCA algorithms.
Summary
Discovering the causal mechanisms of a complex system of interacting components is necessary in order to control it. Computational Causal Discovery (CD) is a field that offers the potential to discover causal relations under certain conditions from observational data alone or with a limited number of interventions/manipulations.
An important, challenging biological problem that may take decades of experimental work is the induction of biological cellular pathways; pathways are informal causal models indispensable in biological research and drug design. Recent exciting advances in flow/mass cytometry biotechnology allow the generation of large-sample datasets containing measurements on single cells, thus setting the problem of pathway learning suitable for CD methods.
CAUSALPATH builds upon and further advances recent breakthrough developments in CD methods to enable the induction of biological pathways from cytometry and other omics data. As a testbed problem we focus on the differentiation of human T-cells; these are involved in autoimmune and inflammatory diseases, as well as cancer and thus, are targets of new drug development for a range of chronic diseases. The biological problem acts as our campus for general novel formalisms, practical algorithms, and useful tools development, pointing to fundamental CD problems: presence of feedback cycles, presence of latent confounding variables, CD from time-course data, Integrative Causal Analysis (INCA) of heterogeneous datasets and others.
Three features complement CAUSALPATH’s approach: (A) methods development will co-evolve with biological wet-lab experiments periodically testing the algorithmic postulates, (B) Open-source tools will be developed for the non-expert, and (C) Commercial exploitation of the results will be sought out.
CAUSALPATH brings together an interdisciplinary team, committed to this vision. It builds upon the PI’s group recent important results on INCA algorithms.
Max ERC Funding
1 724 000 €
Duration
Start date: 2015-01-01, End date: 2019-12-31
Project acronym CHIRALSENSE
Project CHIRALSENSE : Sensing Chirality using cavity-enhanced polarimetry: advances in sensitivity and time-resolution
Researcher (PI) Theodoros Petros Rakitzis
Host Institution (HI) IDRYMA TECHNOLOGIAS KAI EREVNAS
Country Greece
Call Details Proof of Concept (PoC), PC1, ERC-2014-PoC
Summary Chiral sensing is crucial to many fields, constituting a multibillion Euro industry. The polarimetric techniques of optical rotation (OR) and circular dichroism (CD) are the most widely-used techniques for the analysis of chiral samples, ranging from the measurement of protein structure, to quality control in the pharmaceutical, chemical, cosmetic, and food industries. In general, the OR and CD signals are very small, which place severe constraints on detection sensitivity and time-resolution. Through the ERC grant TRICEPS, we have developed a groundbreaking cavity-based polarimeter [Sofikitis et al. Nature 514, 76 (2014)] with 3 main advantages: (a) The OR and CD signals are enhanced by the number of cavity passes (typically 1000); (b) birefringent backgrounds are suppressed; (c) signal reversals give absolute polarimetry measurements, not requiring the sample to be removed to measure a null sample. These advantages represent orders-of-magnitude improvements in sensitivity, acquisition time, and sample size, with respect to commercially available polarimeters, and will reduce measurement time, sample sizes, and costs in the chiral sensing industry. We propose, through CHIRALSENSE, to: (1) file a non-provisional US patent application, to follow our filing of a US provisional patent application for our polarimeter, which will provide IPR protection for the first stages of the product development; (2) demonstrate our existing CHIRALSENSE polarimeter to leading polarimetry companies, by performing measurements on commercial-standard samples; and (3) adapt our polarimeter to measure complex samples separated using HPLC (high-performance liquid chromatography) for analytical chemistry applications, to be demonstrated to leading HPLC companies.
Summary
Chiral sensing is crucial to many fields, constituting a multibillion Euro industry. The polarimetric techniques of optical rotation (OR) and circular dichroism (CD) are the most widely-used techniques for the analysis of chiral samples, ranging from the measurement of protein structure, to quality control in the pharmaceutical, chemical, cosmetic, and food industries. In general, the OR and CD signals are very small, which place severe constraints on detection sensitivity and time-resolution. Through the ERC grant TRICEPS, we have developed a groundbreaking cavity-based polarimeter [Sofikitis et al. Nature 514, 76 (2014)] with 3 main advantages: (a) The OR and CD signals are enhanced by the number of cavity passes (typically 1000); (b) birefringent backgrounds are suppressed; (c) signal reversals give absolute polarimetry measurements, not requiring the sample to be removed to measure a null sample. These advantages represent orders-of-magnitude improvements in sensitivity, acquisition time, and sample size, with respect to commercially available polarimeters, and will reduce measurement time, sample sizes, and costs in the chiral sensing industry. We propose, through CHIRALSENSE, to: (1) file a non-provisional US patent application, to follow our filing of a US provisional patent application for our polarimeter, which will provide IPR protection for the first stages of the product development; (2) demonstrate our existing CHIRALSENSE polarimeter to leading polarimetry companies, by performing measurements on commercial-standard samples; and (3) adapt our polarimeter to measure complex samples separated using HPLC (high-performance liquid chromatography) for analytical chemistry applications, to be demonstrated to leading HPLC companies.
Max ERC Funding
150 000 €
Duration
Start date: 2015-04-01, End date: 2016-09-30
Project acronym CODAMODA
Project Controlling Data Movement in the Digital Age
Researcher (PI) Aggelos Kiayias
Host Institution (HI) ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON
Country Greece
Call Details Starting Grant (StG), PE6, ERC-2010-StG_20091028
Summary Nowadays human intellectual product is increasingly produced and disseminated solely in digital form. The capability of digital data for effortless reproduction and transfer has lead to a true revolution that impacts every aspect of human creativity. Nevertheless, as with every technological revolution, this digital media revolution comes with a dark side that, if left unaddressed, it will limit its impact and may counter its potential advantages. In particular, the way we produce and disseminate digital content today does not lend itself to controlling the way data move and change. It turns out that the power of being digital can be a double-edged sword: the ease of production, dissemination and editing also implies the ease of misappropriation, plagiarism and improper modification.
To counter the above problems, the proposed research activity will focus on the development of a new generation of enabling cryptographic technologies that have the power to facilitate the appropriate controls for data movement. Using the techniques developed in this project it will be feasible to build digital content distribution systems where content producers will have the full possible control on the dissemination of their intellectual product, while at the same time the rights of the end-users in terms of privacy and fair use can be preserved. The PI is uniquely qualified to carry out the proposed research activity as he has extensive prior experience in making innovations in the area of digital content distribution as well as in the management of research projects. As part of the project activities, the PI will establish the CODAMODA laboratory in the University of Athens and will seek opportunities for technology transfer and interdisciplinary work with the legal science community.
Summary
Nowadays human intellectual product is increasingly produced and disseminated solely in digital form. The capability of digital data for effortless reproduction and transfer has lead to a true revolution that impacts every aspect of human creativity. Nevertheless, as with every technological revolution, this digital media revolution comes with a dark side that, if left unaddressed, it will limit its impact and may counter its potential advantages. In particular, the way we produce and disseminate digital content today does not lend itself to controlling the way data move and change. It turns out that the power of being digital can be a double-edged sword: the ease of production, dissemination and editing also implies the ease of misappropriation, plagiarism and improper modification.
To counter the above problems, the proposed research activity will focus on the development of a new generation of enabling cryptographic technologies that have the power to facilitate the appropriate controls for data movement. Using the techniques developed in this project it will be feasible to build digital content distribution systems where content producers will have the full possible control on the dissemination of their intellectual product, while at the same time the rights of the end-users in terms of privacy and fair use can be preserved. The PI is uniquely qualified to carry out the proposed research activity as he has extensive prior experience in making innovations in the area of digital content distribution as well as in the management of research projects. As part of the project activities, the PI will establish the CODAMODA laboratory in the University of Athens and will seek opportunities for technology transfer and interdisciplinary work with the legal science community.
Max ERC Funding
1 212 960 €
Duration
Start date: 2011-04-01, End date: 2017-03-31
Project acronym D-TECT
Project Does dust triboelectrification affect our climate?
Researcher (PI) Vasileios AMOIRIDIS
Host Institution (HI) ETHNIKO ASTEROSKOPEIO ATHINON
Country Greece
Call Details Consolidator Grant (CoG), PE10, ERC-2016-COG
Summary The recent IPCC report identifies mineral dust and the associated uncertainties in climate projections as key topics for future research. Dust size distribution in climate models controls the dust-radiation-cloud interactions and is a major contributor to these uncertainties. Observations show that the coarse mode of dust can be sustained during long-range transport, while current understanding fails in explaining why the lifetime of large airborne dust particles is longer than expected from gravitational settling theories. This discrepancy between observations and theory suggests that other processes counterbalance the effect of gravity along transport. D-TECT envisages filling this knowledge gap by studying the contribution of the triboelectrification (contact electrification) on particle removal processes. Our hypothesis is that triboelectric charging generates adequate electric fields to hold large dust particles up in the atmosphere. D-TECT aims to (i) parameterize the physical mechanisms responsible for dust triboelectrification; (ii) assess the impact of electrification on dust settling; (iii) quantify the climatic impacts of the process, particularly the effect on the dust size evolution during transport, on dry deposition and on CCN/IN reservoirs, and the effect of the electric field on particle orientation and on radiative transfer. The approach involves the development of a novel specialized high-power lidar system to detect and characterize aerosol particle orientation and a large-scale field experiment in the Mediterranean Basin using unprecedented ground-based remote sensing and airborne in-situ observation synergies. Considering aerosol-electricity interactions, the observations will be used to improve theoretical understanding and simulations of dust lifecycle. The project will provide new fundamental understanding, able to open new horizons for weather and climate science, including biogeochemistry, volcanic ash and extraterrestrial dust research.
Summary
The recent IPCC report identifies mineral dust and the associated uncertainties in climate projections as key topics for future research. Dust size distribution in climate models controls the dust-radiation-cloud interactions and is a major contributor to these uncertainties. Observations show that the coarse mode of dust can be sustained during long-range transport, while current understanding fails in explaining why the lifetime of large airborne dust particles is longer than expected from gravitational settling theories. This discrepancy between observations and theory suggests that other processes counterbalance the effect of gravity along transport. D-TECT envisages filling this knowledge gap by studying the contribution of the triboelectrification (contact electrification) on particle removal processes. Our hypothesis is that triboelectric charging generates adequate electric fields to hold large dust particles up in the atmosphere. D-TECT aims to (i) parameterize the physical mechanisms responsible for dust triboelectrification; (ii) assess the impact of electrification on dust settling; (iii) quantify the climatic impacts of the process, particularly the effect on the dust size evolution during transport, on dry deposition and on CCN/IN reservoirs, and the effect of the electric field on particle orientation and on radiative transfer. The approach involves the development of a novel specialized high-power lidar system to detect and characterize aerosol particle orientation and a large-scale field experiment in the Mediterranean Basin using unprecedented ground-based remote sensing and airborne in-situ observation synergies. Considering aerosol-electricity interactions, the observations will be used to improve theoretical understanding and simulations of dust lifecycle. The project will provide new fundamental understanding, able to open new horizons for weather and climate science, including biogeochemistry, volcanic ash and extraterrestrial dust research.
Max ERC Funding
1 968 000 €
Duration
Start date: 2017-09-01, End date: 2023-08-31
