Project acronym CAPTURE
Project CApturing Paradata for documenTing data creation and Use for the REsearch of the future
Researcher (PI) Isto HUVILA
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Consolidator Grant (CoG), SH3, ERC-2018-COG
Summary "Considerable investments have been made in Europe and worldwide in research data infrastructures. Instead of a general lack of data about data, it has become apparent that the pivotal factor that drastically constrains the use of data is the absence of contextual knowledge about how data was created and how it has been used. This applies especially to many branches of SSH research where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/contemporary, from different contexts and geographical places). The problem is that there may be enough metadata (data about data) but there is too little paradata (data on the processes of its creation and use).
In contrast to the rather straightforward problem of describing the data, the high-risk/high-gain problem no-one has managed to solve, is the lack of comprehensive understanding of what information about the creation and use of research data is needed and how to capture enough of that information to make the data reusable and to avoid the risk that currently collected vast amounts of research data become useless in the future. The wickedness of the problem lies in the practical impossibility to document and keep everything and the difficulty to determine optimal procedures for capturing just enough.
With an empirical focus on archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork, CAPTURE develops an in-depth understanding of how paradata is #1 created and #2 used at the moment, #3 elicits methods for capturing paradata on the basis of the findings of #1-2, #4 tests the new methods in field trials, and #5 synthesises the findings in a reference model to inform the capturing of paradata and enabling data-intensive research using heterogeneous research data stemming from diverse origins.
"
Summary
"Considerable investments have been made in Europe and worldwide in research data infrastructures. Instead of a general lack of data about data, it has become apparent that the pivotal factor that drastically constrains the use of data is the absence of contextual knowledge about how data was created and how it has been used. This applies especially to many branches of SSH research where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/contemporary, from different contexts and geographical places). The problem is that there may be enough metadata (data about data) but there is too little paradata (data on the processes of its creation and use).
In contrast to the rather straightforward problem of describing the data, the high-risk/high-gain problem no-one has managed to solve, is the lack of comprehensive understanding of what information about the creation and use of research data is needed and how to capture enough of that information to make the data reusable and to avoid the risk that currently collected vast amounts of research data become useless in the future. The wickedness of the problem lies in the practical impossibility to document and keep everything and the difficulty to determine optimal procedures for capturing just enough.
With an empirical focus on archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork, CAPTURE develops an in-depth understanding of how paradata is #1 created and #2 used at the moment, #3 elicits methods for capturing paradata on the basis of the findings of #1-2, #4 tests the new methods in field trials, and #5 synthesises the findings in a reference model to inform the capturing of paradata and enabling data-intensive research using heterogeneous research data stemming from diverse origins.
"
Max ERC Funding
1 944 162 €
Duration
Start date: 2019-05-01, End date: 2024-04-30
Project acronym CUSTOMER
Project Customizable Embedded Real-Time Systems: Challenges and Key Techniques
Researcher (PI) Yi WANG
Host Institution (HI) UPPSALA UNIVERSITET
Call Details Advanced Grant (AdG), PE6, ERC-2018-ADG
Summary Today, many industrial products are defined by software and therefore customizable: their functionalities implemented by software can be modified and extended by dynamic software updates on demand. This trend towards customizable products is rapidly expanding into all domains of IT, including Embedded Real-Time Systems (ERTS) deployed in Cyber-Physical Systems such as cars, medical devices etc. However, the current state-of-practice in safety-critical systems allows hardly any modifications once they are put in operation. The lack of techniques to preserve crucial safety conditions for customizable systems severely restricts the benefits of advances in software-defined systems engineering.
CUSTOMER is to provide the missing paradigm and technology for building and updating ERTS after deployment – subject to stringent timing constraints, dynamic workloads, and limited resources on complex platforms. CUSTOMER explores research areas crossing two fields: Real-Time Computing and Formal Verification to develop the key techniques enabling (1) dynamic updates of ERTS in the field, (2) incremental updates over the products life time and (3) safe updates by verification to avoid updates that may compromise system safety.
CUSTOMER will develop a unified model-based framework supported with tools for the design, modelling, verification, deployment and update of ERTS, aiming at advancing the research fields by establishing the missing scientific foundation for multiprocessor real-time computing and providing the next generation of design tools with significantly enhanced capability and scalability increased by orders of magnitude compared with state-of-the-art tools e.g. UPPAAL.
Summary
Today, many industrial products are defined by software and therefore customizable: their functionalities implemented by software can be modified and extended by dynamic software updates on demand. This trend towards customizable products is rapidly expanding into all domains of IT, including Embedded Real-Time Systems (ERTS) deployed in Cyber-Physical Systems such as cars, medical devices etc. However, the current state-of-practice in safety-critical systems allows hardly any modifications once they are put in operation. The lack of techniques to preserve crucial safety conditions for customizable systems severely restricts the benefits of advances in software-defined systems engineering.
CUSTOMER is to provide the missing paradigm and technology for building and updating ERTS after deployment – subject to stringent timing constraints, dynamic workloads, and limited resources on complex platforms. CUSTOMER explores research areas crossing two fields: Real-Time Computing and Formal Verification to develop the key techniques enabling (1) dynamic updates of ERTS in the field, (2) incremental updates over the products life time and (3) safe updates by verification to avoid updates that may compromise system safety.
CUSTOMER will develop a unified model-based framework supported with tools for the design, modelling, verification, deployment and update of ERTS, aiming at advancing the research fields by establishing the missing scientific foundation for multiprocessor real-time computing and providing the next generation of design tools with significantly enhanced capability and scalability increased by orders of magnitude compared with state-of-the-art tools e.g. UPPAAL.
Max ERC Funding
2 499 894 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym DISCONNECTOME
Project Brain connections, Stroke, Symptoms Predictions and Brain Repair
Researcher (PI) Michel THIEBAUT DE SCHOTTEN
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Call Details Consolidator Grant (CoG), SH4, ERC-2018-COG
Summary Every year a brain stroke will impair approximately 2 million Europeans. Notwithstanding recent progress, many of these individuals will have persistent cognitive deficits, impacting their personality, degrading their quality of life and preventing their return to work. Early identification of anatomical predictors of brain recovery may significantly reduce the burden of these deficits on patients, their families and wider society, while also leading to the discovery of new targets for treatments.
I have pioneered the development of imaging techniques that allow for the exploration of the relationship between brain disconnection and neuropsychological syndromes. With these tools, I aim to demonstrate that the structural organisation of the human brain's connections is the common denominator supporting functional specialisation and, when damaged, neuropsychological disorders.
Building on my expertise, I plan to (1) establish an atlas mapping the function of white matter for the entire human brain, (2) fractionate the stroke population according to disconnection profiles, (3) predict neuropsychological symptoms based on disconnection profiles, and (4) characterise and manipulate the fine biology involved in the disconnection recovery.In so doing, this project will introduce a paradigm shift in the relationship between brain structure, function and behavioural/cognitive disorders. I will deliver a comprehensive biological model of the neurocircuitry that supports neuropsychological syndromes, which will gather the modular organisation of primary idiotypic functions with the integrative organisation of highly associative levels of functions. In the long term, this project will allow me to determine if measures of brain ‘connectivity’ can be translated into advanced standard procedures that provide for a more personalised medicine, that focuses upon rehabilitation and improving the prediction of symptom recovery, while providing new targets for pharmacological treatment.
Summary
Every year a brain stroke will impair approximately 2 million Europeans. Notwithstanding recent progress, many of these individuals will have persistent cognitive deficits, impacting their personality, degrading their quality of life and preventing their return to work. Early identification of anatomical predictors of brain recovery may significantly reduce the burden of these deficits on patients, their families and wider society, while also leading to the discovery of new targets for treatments.
I have pioneered the development of imaging techniques that allow for the exploration of the relationship between brain disconnection and neuropsychological syndromes. With these tools, I aim to demonstrate that the structural organisation of the human brain's connections is the common denominator supporting functional specialisation and, when damaged, neuropsychological disorders.
Building on my expertise, I plan to (1) establish an atlas mapping the function of white matter for the entire human brain, (2) fractionate the stroke population according to disconnection profiles, (3) predict neuropsychological symptoms based on disconnection profiles, and (4) characterise and manipulate the fine biology involved in the disconnection recovery.In so doing, this project will introduce a paradigm shift in the relationship between brain structure, function and behavioural/cognitive disorders. I will deliver a comprehensive biological model of the neurocircuitry that supports neuropsychological syndromes, which will gather the modular organisation of primary idiotypic functions with the integrative organisation of highly associative levels of functions. In the long term, this project will allow me to determine if measures of brain ‘connectivity’ can be translated into advanced standard procedures that provide for a more personalised medicine, that focuses upon rehabilitation and improving the prediction of symptom recovery, while providing new targets for pharmacological treatment.
Max ERC Funding
1 999 201 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym HEALFAM
Project The effects of unemployment on health of family members
Researcher (PI) Anna BARANOWSKA-RATAJ
Host Institution (HI) UMEA UNIVERSITET
Call Details Starting Grant (StG), SH3, ERC-2018-STG
Summary Previous research has investigated the relationship between unemployment and health from a perspective of an isolated individual. HEALFAM takes a novel approach and examines how transition to unemployment triggers diffusion of ill mental and physical health within families. It investigates how becoming unemployed affects health outcomes of partners, children and elderly parents of the unemployed and whether the magnitudes of these influences differ across families and societies. Thus, instead of viewing the unemployed as functioning in isolation, HEALFAM assesses the consequences of unemployment for family members taking a multi-actor perspective and international comparative approach.
Guided by the life course theoretical framework, which views health and well-being as a process rather than a state and calls for considering interrelatedness of individuals, HEALFAM employs longitudinal data that provide information about multiple members of families. In order to analyse these datasets, HEALFAM uses longitudinal dyadic data analysis techniques as well as multilevel models for longitudinal data.
HEALFAM aims to open a new frontline of research on health and wellbeing from a life course perspective. It benefits from my knowledge on three interrelated social phenomena: (1) the role of labour market career and experiences of unemployment (2) family structure and intra-family resources (3) social antecedents of health and wellbeing among family members. It draws on high quality register and panel survey data as well as the expertise at the interdisciplinary research centres that I am connected to at Umeå University. Through international collaborations, it brings together experts in multiple disciplines carrying out research taking a life course perspective.
Summary
Previous research has investigated the relationship between unemployment and health from a perspective of an isolated individual. HEALFAM takes a novel approach and examines how transition to unemployment triggers diffusion of ill mental and physical health within families. It investigates how becoming unemployed affects health outcomes of partners, children and elderly parents of the unemployed and whether the magnitudes of these influences differ across families and societies. Thus, instead of viewing the unemployed as functioning in isolation, HEALFAM assesses the consequences of unemployment for family members taking a multi-actor perspective and international comparative approach.
Guided by the life course theoretical framework, which views health and well-being as a process rather than a state and calls for considering interrelatedness of individuals, HEALFAM employs longitudinal data that provide information about multiple members of families. In order to analyse these datasets, HEALFAM uses longitudinal dyadic data analysis techniques as well as multilevel models for longitudinal data.
HEALFAM aims to open a new frontline of research on health and wellbeing from a life course perspective. It benefits from my knowledge on three interrelated social phenomena: (1) the role of labour market career and experiences of unemployment (2) family structure and intra-family resources (3) social antecedents of health and wellbeing among family members. It draws on high quality register and panel survey data as well as the expertise at the interdisciplinary research centres that I am connected to at Umeå University. Through international collaborations, it brings together experts in multiple disciplines carrying out research taking a life course perspective.
Max ERC Funding
1 477 556 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym HYPATIA
Project Privacy and Utility Allied
Researcher (PI) Catuscia PALAMIDESSI
Host Institution (HI) INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE
Call Details Advanced Grant (AdG), PE6, ERC-2018-ADG
Summary With the ever-increasing use of internet-connected devices, such as computers, smart grids, IoT appliances and GPS-enabled equipments, personal data are collected in larger and larger amounts, and then stored and manipulated for the most diverse purposes. Undeniably, the big-data technology provides enormous benefits to industry, individuals and society, ranging from improving business strategies and boosting quality of service to enhancing scientific progress. On the other hand, however, the collection and manipulation of personal data raises alarming privacy issues. Both the experts and the population at large are becoming increasingly aware of the risks, due to the repeated cases of violations and leaks that keep hitting the headlines. The objective of this project is to develop the theoretical foundations, methods and tools to protect the privacy of the individuals while letting their data to be collected and used for statistical purposes. We aim in particular at developing mechanisms that: (1) can be applied and controlled directly by the user, thus avoiding the need of a trusted party, (2) are robust with respect to combination of information from different sources, and (3) provide an optimal trade-off between privacy and utility. We intend to pursue these goals by developing a new framework for privacy based on the addition of controlled noise to individual data, and associated methods to recover the useful statistical information, and to protect the quality of service.
Summary
With the ever-increasing use of internet-connected devices, such as computers, smart grids, IoT appliances and GPS-enabled equipments, personal data are collected in larger and larger amounts, and then stored and manipulated for the most diverse purposes. Undeniably, the big-data technology provides enormous benefits to industry, individuals and society, ranging from improving business strategies and boosting quality of service to enhancing scientific progress. On the other hand, however, the collection and manipulation of personal data raises alarming privacy issues. Both the experts and the population at large are becoming increasingly aware of the risks, due to the repeated cases of violations and leaks that keep hitting the headlines. The objective of this project is to develop the theoretical foundations, methods and tools to protect the privacy of the individuals while letting their data to be collected and used for statistical purposes. We aim in particular at developing mechanisms that: (1) can be applied and controlled directly by the user, thus avoiding the need of a trusted party, (2) are robust with respect to combination of information from different sources, and (3) provide an optimal trade-off between privacy and utility. We intend to pursue these goals by developing a new framework for privacy based on the addition of controlled noise to individual data, and associated methods to recover the useful statistical information, and to protect the quality of service.
Max ERC Funding
2 223 779 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym J-INNOVATECH
Project Beyond Eureka: The Foundations of Japan's Industrialization, 1800-1885
Researcher (PI) Aleksandra Kobiljski
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Call Details Starting Grant (StG), SH6, ERC-2018-STG
Summary Beyond Eureka seeks to challenge current understanding of how Japan became a global industrial power along with the model of how innovation takes place. Japan was the first Asian nation to industrialize and in a space of several decades went from a relatively isolated agrarian economy to an industrialized nation. The key assumption of this project is that a grasp of the salient features of the technological landscape during the pivotal period between 1800 and 1885 is an important tool for understanding Japan's industrialization. To date, this transitional period has been widely acknowledged as crucial for later development but remains empirically poorly understood. Recognizing the complexity of causation, this project seeks to use technology as a site for forging a more nuanced understanding of the emergence of Asia's first industrial power.
By bringing technological change into historical focus, the project challenges the notion of innovation as necessarily a matter of disruption. In Japanese, for example, there is no conceptual or cultural equivalent to Eureka, to stand for a unique, distinct moment of individual ingenuity. If we choose the Eureka moment to epitomize the conception of innovation, early examples in Japanese industry are few and far between. Instead, a small but growing body of research shows that a sophisticated and patient examination of archives can reveal innovative processes in place of what historiography has described as borrowing, imitation or adaptation. This project seeks to foreground innovation as a long-term process of accumulation in which the new only could only work by taking root and embedding itself within the old, not by replacing it and starting from scratch.
The team, comprising the PI and five postdoctoral fellows, will combine expertise and previously unexamined archives to bring depth and nuance to not only to the specific case of Japanese industrialization, but also more
broadly of innovative processes in human past.
Summary
Beyond Eureka seeks to challenge current understanding of how Japan became a global industrial power along with the model of how innovation takes place. Japan was the first Asian nation to industrialize and in a space of several decades went from a relatively isolated agrarian economy to an industrialized nation. The key assumption of this project is that a grasp of the salient features of the technological landscape during the pivotal period between 1800 and 1885 is an important tool for understanding Japan's industrialization. To date, this transitional period has been widely acknowledged as crucial for later development but remains empirically poorly understood. Recognizing the complexity of causation, this project seeks to use technology as a site for forging a more nuanced understanding of the emergence of Asia's first industrial power.
By bringing technological change into historical focus, the project challenges the notion of innovation as necessarily a matter of disruption. In Japanese, for example, there is no conceptual or cultural equivalent to Eureka, to stand for a unique, distinct moment of individual ingenuity. If we choose the Eureka moment to epitomize the conception of innovation, early examples in Japanese industry are few and far between. Instead, a small but growing body of research shows that a sophisticated and patient examination of archives can reveal innovative processes in place of what historiography has described as borrowing, imitation or adaptation. This project seeks to foreground innovation as a long-term process of accumulation in which the new only could only work by taking root and embedding itself within the old, not by replacing it and starting from scratch.
The team, comprising the PI and five postdoctoral fellows, will combine expertise and previously unexamined archives to bring depth and nuance to not only to the specific case of Japanese industrialization, but also more
broadly of innovative processes in human past.
Max ERC Funding
1 373 500 €
Duration
Start date: 2020-02-01, End date: 2025-01-31
Project acronym LUBARTWORLD
Project Migration and Holocaust: Transnational Trajectories of Lubartow Jews Across the World (1920s-1950s)
Researcher (PI) Claire ZALC
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Call Details Consolidator Grant (CoG), SH6, ERC-2018-COG
Summary Migrations are a central issue of the modern period, particularly since World War One. At the same time, the implementation of a systematic policy of categorization, discrimination, persecution, and extermination of European Jews is one of the major events of the first half of the 20th century. How should the relations between these two histories be understood? The goal of this project is to explore the links between migration and the Holocaust from a transnational microhistorical perspective.
To this end, it will implement an original method: producing the collective biography of the Jewish inhabitants from the Polish shtetl of Lubartow from the 1920s to the 1950s, whether they emigrated or stayed behind, whether they were exterminated or survived the Holocaust. This research will, for the first time, reconstruct the trajectories of a group of persecution victims across the different places they travelled through, which is possible today thanks to new access to an impressive body of archives and the affordances of the digital humanities. The methodological and archival challenge is immense. This transnational collective biography explores the directions of individual journeys, the diversity of fates, as well as the connections between those who remained and those who left.
By doing so, the LUBARTWORLD project addresses some prominent theoretical issues: the dynamics of a social structure drawn into a major disruption, the variability of social categorizations in diverse national and political contexts, and the complex making of identities. From an epistemological point of view, it will develop innovative ways of reconstructing and analyzing life-course information. Although the project begins with Lubartow, it leads to the world in its globality. Lubartow residents crisscrossed the globe, and their trajectories outline and embody in their own way the upheavals of Europe’s relations with the world before, during, and after the Holocaust.
Summary
Migrations are a central issue of the modern period, particularly since World War One. At the same time, the implementation of a systematic policy of categorization, discrimination, persecution, and extermination of European Jews is one of the major events of the first half of the 20th century. How should the relations between these two histories be understood? The goal of this project is to explore the links between migration and the Holocaust from a transnational microhistorical perspective.
To this end, it will implement an original method: producing the collective biography of the Jewish inhabitants from the Polish shtetl of Lubartow from the 1920s to the 1950s, whether they emigrated or stayed behind, whether they were exterminated or survived the Holocaust. This research will, for the first time, reconstruct the trajectories of a group of persecution victims across the different places they travelled through, which is possible today thanks to new access to an impressive body of archives and the affordances of the digital humanities. The methodological and archival challenge is immense. This transnational collective biography explores the directions of individual journeys, the diversity of fates, as well as the connections between those who remained and those who left.
By doing so, the LUBARTWORLD project addresses some prominent theoretical issues: the dynamics of a social structure drawn into a major disruption, the variability of social categorizations in diverse national and political contexts, and the complex making of identities. From an epistemological point of view, it will develop innovative ways of reconstructing and analyzing life-course information. Although the project begins with Lubartow, it leads to the world in its globality. Lubartow residents crisscrossed the globe, and their trajectories outline and embody in their own way the upheavals of Europe’s relations with the world before, during, and after the Holocaust.
Max ERC Funding
1 985 083 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym MetAction
Project The motor hypothesis for self-monitoring: A new framework to understand and treat metacognitive failures
Researcher (PI) Nathan Quentin FAIVRE
Host Institution (HI) CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Call Details Starting Grant (StG), SH4, ERC-2018-STG
Summary Humans can monitor their own mental lives and build representations that contain knowledge about themselves. This capacity to introspect and report one’s own mental states, or in other words “knowing how much one knows”, is termed metacognition. Although metacognition is crucial to behave adequately in a complex environment, metacognitive judgments are often suboptimal. Specifically for neurological and psychiatric diseases, metacognitive failures are highly prevalent, with severe consequences in terms of quality of life. This project proposes a new hypothesis to explain the determining factors of metacognitive failures: namely, that metacognition does not operate in a vacuum but relies on the monitoring of signals from the body, and more specifically, on motor signals involved during action execution. We suggest several experiments to test the motor hypothesis for self-monitoring, and propose a new remediation procedure to resolve metacognitive failures resulting from deficient action monitoring. We will start by assessing the contribution of motor signals to metacognition by identifying the behavioral and neural correlates for detecting self-committed vs. observed errors (WP1), and by using virtual reality and robotics to probe metacognition in a vacuum, operating in the complete absence of voluntary actions (WP2). Finally, we will use these results to develop and evaluate a method to train metacognition in healthy volunteers and individuals with schizophrenia in a bottom-up manner, using online feedback based on motor signals (WP3). This new metacognitive remediation procedure will be performed both in a clinical context and on mobile devices. The goal of this ambitious project is therefore twofold, theoretical in shedding new light on a cognitive process central to our most profound mental states, and clinical in establishing a new remediation method to tackle a major health and societal issue.
Summary
Humans can monitor their own mental lives and build representations that contain knowledge about themselves. This capacity to introspect and report one’s own mental states, or in other words “knowing how much one knows”, is termed metacognition. Although metacognition is crucial to behave adequately in a complex environment, metacognitive judgments are often suboptimal. Specifically for neurological and psychiatric diseases, metacognitive failures are highly prevalent, with severe consequences in terms of quality of life. This project proposes a new hypothesis to explain the determining factors of metacognitive failures: namely, that metacognition does not operate in a vacuum but relies on the monitoring of signals from the body, and more specifically, on motor signals involved during action execution. We suggest several experiments to test the motor hypothesis for self-monitoring, and propose a new remediation procedure to resolve metacognitive failures resulting from deficient action monitoring. We will start by assessing the contribution of motor signals to metacognition by identifying the behavioral and neural correlates for detecting self-committed vs. observed errors (WP1), and by using virtual reality and robotics to probe metacognition in a vacuum, operating in the complete absence of voluntary actions (WP2). Finally, we will use these results to develop and evaluate a method to train metacognition in healthy volunteers and individuals with schizophrenia in a bottom-up manner, using online feedback based on motor signals (WP3). This new metacognitive remediation procedure will be performed both in a clinical context and on mobile devices. The goal of this ambitious project is therefore twofold, theoretical in shedding new light on a cognitive process central to our most profound mental states, and clinical in establishing a new remediation method to tackle a major health and societal issue.
Max ERC Funding
1 389 500 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym SlaveVoices
Project Slave Testimonies in the Abolition Era. European Captives, African Slaves and Ottoman servants in 19th century North Africa
Researcher (PI) M'hamed OUALDI
Host Institution (HI) FONDATION NATIONALE DES SCIENCES POLITIQUES
Call Details Consolidator Grant (CoG), SH6, ERC-2018-COG
Summary SLAVEVOICES has two main groundbreaking scientific goals. First, it aims at fully renewing our approach of the end of slavery, a crucial social transformation in North Africa as a part of the Muslim world. So far historians have explained the abolition and slow vanishing of slavery in this region either as the outcome of European imperialistic interventions or to a lesser extent as resulting from debates among Muslim scholars and leaders who were owning slaves. SLAVEVOICES will instead interpret the end of slavery through the testimonies of the ones who experienced and acted for the end of slavery: namely the testimonies of the slaves and their descendants written in Arabic, Ottoman Turkish and European languages.
Second, by studying together –and not apart as is often the case– the various groups of slaves in North Africa hailing from Africa, Europe and Asia, SLAVEVOICES will propose a new way of conceiving and writing the history of North Africa. Instead of studying each historical phenomenon according to each national part of this region (Morocco, Algeria, Tunisia, Egypt) as it is has often been the case, SLAVEVOICES will be a concrete attempt at writing a globalized and connected history of modern North Africa. It will explore the reshaping of the connections that groups of slaves built up within North African societies and between this part of the Muslim world and other adjoining societies in Africa, Asia and Europe in the abolition era. SLAVEVOICES will innovate in resituating slave testimonies within a broader history of literacy in North Africa throughout a long nineteenth century, a period in which literacy and written sources underwent major changes in Ottoman and colonial North Africa.
Finally through a website, a book, a play, and videos SLAVEVOICES will bring back the voices, the speeches and emotions of nineteenth century slaves to a present audience as new forms of enslavement and social dependency are resurfacing across the Mediterranean.
Summary
SLAVEVOICES has two main groundbreaking scientific goals. First, it aims at fully renewing our approach of the end of slavery, a crucial social transformation in North Africa as a part of the Muslim world. So far historians have explained the abolition and slow vanishing of slavery in this region either as the outcome of European imperialistic interventions or to a lesser extent as resulting from debates among Muslim scholars and leaders who were owning slaves. SLAVEVOICES will instead interpret the end of slavery through the testimonies of the ones who experienced and acted for the end of slavery: namely the testimonies of the slaves and their descendants written in Arabic, Ottoman Turkish and European languages.
Second, by studying together –and not apart as is often the case– the various groups of slaves in North Africa hailing from Africa, Europe and Asia, SLAVEVOICES will propose a new way of conceiving and writing the history of North Africa. Instead of studying each historical phenomenon according to each national part of this region (Morocco, Algeria, Tunisia, Egypt) as it is has often been the case, SLAVEVOICES will be a concrete attempt at writing a globalized and connected history of modern North Africa. It will explore the reshaping of the connections that groups of slaves built up within North African societies and between this part of the Muslim world and other adjoining societies in Africa, Asia and Europe in the abolition era. SLAVEVOICES will innovate in resituating slave testimonies within a broader history of literacy in North Africa throughout a long nineteenth century, a period in which literacy and written sources underwent major changes in Ottoman and colonial North Africa.
Finally through a website, a book, a play, and videos SLAVEVOICES will bring back the voices, the speeches and emotions of nineteenth century slaves to a present audience as new forms of enslavement and social dependency are resurfacing across the Mediterranean.
Max ERC Funding
1 999 975 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
Project acronym VARME
Project Varieties of Media Effects
Researcher (PI) Adam Mahmoud Saad Shehata
Host Institution (HI) GOETEBORGS UNIVERSITET
Call Details Starting Grant (StG), SH3, ERC-2018-STG
Summary The overall objective of VARME is to determine the long-term effects of the news media on citizens’ beliefs about societal problems. Theoretically and empirically, the program challenges the prevailing Short-term Media Effects Paradigm that characterizes most research on media effects. In doing so, the program uncovers a variety of important long-term media effects largely ignored in previous research. These include how beliefs about societal problems are initially formed (RQ1), how beliefs are maintained and reinforced (RQ2), as well as under what conditions they change both temporarily and more permanently (RQ3).
The ambitious objective of VARME is achieved by three complementary projects. These projects are all possible thanks to an internationally unique infrastructure for data collection at the University of Gothenburg. Project 1 uncovers the long-term processes of media effects over a period of several years. Using an extensive longitudinal mixed-methods design, this study provides unique knowledge on how citizens’ beliefs about society are maintained, reinforced and potentially changed by the news media in the long run. Project 2 clarifies how citizens’ beliefs initially form in response to news coverage. By setting up a novel event-based study, this project enables a close “live” analysis of belief formation as real-world events take place and media coverage unfolds over time. Project 3 focuses on causality and mechanisms behind long-term media effects. Working together with professional journalists, this project is based on a series of realistic experiments on how citizens’ news choices and news exposure influence the maintenance, reinforcement and changes of beliefs over time.
Apart from documenting the varieties of long-term effects on citizens’ beliefs about a wide range of societal problems, VARME makes significant contributions to several established theories of media effects.
Summary
The overall objective of VARME is to determine the long-term effects of the news media on citizens’ beliefs about societal problems. Theoretically and empirically, the program challenges the prevailing Short-term Media Effects Paradigm that characterizes most research on media effects. In doing so, the program uncovers a variety of important long-term media effects largely ignored in previous research. These include how beliefs about societal problems are initially formed (RQ1), how beliefs are maintained and reinforced (RQ2), as well as under what conditions they change both temporarily and more permanently (RQ3).
The ambitious objective of VARME is achieved by three complementary projects. These projects are all possible thanks to an internationally unique infrastructure for data collection at the University of Gothenburg. Project 1 uncovers the long-term processes of media effects over a period of several years. Using an extensive longitudinal mixed-methods design, this study provides unique knowledge on how citizens’ beliefs about society are maintained, reinforced and potentially changed by the news media in the long run. Project 2 clarifies how citizens’ beliefs initially form in response to news coverage. By setting up a novel event-based study, this project enables a close “live” analysis of belief formation as real-world events take place and media coverage unfolds over time. Project 3 focuses on causality and mechanisms behind long-term media effects. Working together with professional journalists, this project is based on a series of realistic experiments on how citizens’ news choices and news exposure influence the maintenance, reinforcement and changes of beliefs over time.
Apart from documenting the varieties of long-term effects on citizens’ beliefs about a wide range of societal problems, VARME makes significant contributions to several established theories of media effects.
Max ERC Funding
1 495 595 €
Duration
Start date: 2019-03-01, End date: 2024-02-29