Researcher-Led Development of E-Research in the Social Sciences: The Case of an E-Social Science Pilot Demonstrator Project

The introduction and use of information and communication technologies (ICT) in the process of research is extending beyond research management into research practice itself. This extension of the use of ICT in research is being termed as e-research. The characteristics of e-research are seen as the combination of three interrelated strands, which are: the increased computerization of the research process; research organized more predominantly in the form of distributed networks of researchers, and a strong emphasis on visualization. E-research has become established in the natural sciences but the development of e-research in relation to social sciences is variable and less pervasive. The richness of the social sciences and their variety of practices and engagement in diverse fields of study mean that e-research as utilized in the natural sciences cannot be easily migrated into the social sciences. This paper explores the development of e-research for the social sciences. The paper is based on an ESRC funded e-social science demonstrator project in which social scientists sought to shape the use of Grid ICT technologies in the research process. The project is called: \'Collaborative Analysis of Offenders\' Personal and Area-based Social Exclusion\': it addresses social exclusion in relation to how individual and neighbourhood effects account for geographical variations of crime patterns and explores the opportunities and challenges offered by e-research to address the research problem. The paper suggests that if e-research is driven from the needs of social research then it can enhance the practice of social science.E-Research; Social and Area-Based Exclusion; Young People at Risk of Crime; Information and Communication Technologies; Collaborative Research; Interdisciplinary Research

Introduction to the International Journal of Spatial Data Infrastructures Research

This paper introduces the new International Journal of Spatial Data Infrastructures Research and set out its rationale and aims. The paper is organized into four main sections discussing the recent development of Spatial Data Infrastructures (SDI), the reasons justifying a specific research effort on SDIs, the areas of research that are currently central to their further development and use, and their relationships with research in the field of GI Science. An overview of the current research effort at the Joint Research Centre in this field is also presented

Exploring the market potential for geo-ICT companies in relation to INSPIRE

Ponencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science "Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 de junio de 2014.The implementation of INSPIRE can bring new and interesting business opportunities to European geo-ICT companies. Until now, little information has been available on the participation of geo-ICT companies in the implementation of INSPIRE. This paper seeks to explore the market potential for geo-ICT companies in relation to INSPIRE, presenting the results of a large-scale survey among geo-ICT companies in Europe. The paper shows that the majority of geo-ICT companies in Europe is not actively involved in the implementation of INSPIRE. Having knowledge and understanding of the technical details of INSPIRE seems to be a key requirement for companies to get involved in INSPIRE. Companies that fulfil this requirement and have supported public authorities in implementing INSPIRE, have experienced an impact of INSPIRE on their innovative performance

Exploring the depths of the global earth observation system of systems

Big Earth Data-Cube infrastructures are becoming more and more popular to provide Analysis Ready Data, especially for managing satellite time series. These infrastructures build on the concept of multidimensional data model (data hypercube) and are complex systems engaging different disciplines and expertise. For this reason, their interoperability capacity has become a challenge in the Global Change and Earth System science domains. To address this challenge, there is a pressing need in the community to reach a widely agreed definition of Data-Cube infrastructures and their key features. In this respect, a discussion has started recently about the definition of the possible facets characterizing a Data-Cube in the Earth Observation domain. This manuscript contributes to such debate by introducing a view-based model of Earth Data-Cube systems to design its infrastructural architecture and content schemas, with the final goal of enabling and facilitating interoperability. It introduces six modeling views, each of them is described according to: its main concerns, principal stakeholders, and possible patterns to be used. The manuscript considers the Business Intelligence experience with Data Warehouse and multidimensional "cubes" along with the more recent and analogous development in the Earth Observation domain, and puts forward a set of interoperability recommendations based on the modeling views

DigiTranScope autumn institute 2020: governance of digitally transformed societies

DigiTranScope is a research project of the JRC (Joint Research Centre), Centre for Advanced Studies at the European Commission, focusing on the governance of digitally transformed human societies. The project aims to provide a deeper understanding of key aspects of digital transformation to help policy-makers address the challenges facing European society over the next decades. Core Topics of the Autumn Institute: Data Governance: This is a key battleground to find a European way to Artificial Intelligence (AI) and Digital Transformation. We need to find new ways of sharing data between the public sector, commercial sector, and civil society so that the value created out of data analytics and new algorithms is redistributed more equitably across all stakeholders to the benefit of European society. New Forms of Policy Design, Policy Learning: This is a topic exploring how we can develop new forms of more participative policy design, monitoring, feedback/assessment, learning loops that exploit the characteristics of digital transformation including, smart cities, gaming, digital twins, and personalisation. Digital Empowerment and Social Inequalities: How can we develop/design/foster a new path exploiting the benefits of digital transformation so that it is aimed at reducing existing social, economic, and spatial inequalities rather than exacerbating them? What is the role of local data ecosystems and co-operatives, and in general more geographically diversified policy measures, in tapping into the intrinsic characteristics of European regions and cities

DigiTranScope: some key findings

Digitranscope originated from the JRC Strategy 20301. The strategy identified ten strategic topics on which the JRC should concentrate to anticipate future policy requests. One of these topics was ‘Data and Digital Transformation’, to which the JRC set up two initiatives: the first being a transversal project on ‘Artificial Intelligence and Digital Transformation’, the second being a CAS research project on digital transformation, which was to be more exploratory in nature. The CAS project originally proposed to address two key issues: i) how the information glut triggered by digital transformation reverses the cognitive balance between humans and machines, and ii) the impact of digital information technology on the rules and institutions that guide modern societies. This proposal therefore led to the establishment of two projects in 2017: ‘Human behaviour and machine intelligence’ (HUMAINT)2 and our project, ‘Digital transformation and the governance of human society’ (Digitranscope)

DigiTranScope: some key findings

Digitranscope originated from the JRC Strategy 20301. The strategy identified ten strategic topics on which the JRC should concentrate to anticipate future policy requests. One of these topics was ‘Data and Digital Transformation’, to which the JRC set up two initiatives: the first being a transversal project on ‘Artificial Intelligence and Digital Transformation’, the second being a CAS research project on digital transformation, which was to be more exploratory in nature. The CAS project originally proposed to address two key issues: i) how the information glut triggered by digital transformation reverses the cognitive balance between humans and machines, and ii) the impact of digital information technology on the rules and institutions that guide modern societies. This proposal therefore led to the establishment of two projects in 2017: ‘Human behaviour and machine intelligence’ (HUMAINT)2 and our project, ‘Digital transformation and the governance of human society’ (Digitranscope)

Next-Generation Digital Earth: A position paper from the Vespucci Initiative for the Advancement of Geographic Information Science

This position paper is the outcome of a joint reflection by a group of international geographic and environmental scientists from government, industry, and academia brought together by the Vespucci Initiative for the Advancement of Geographic Information Science, and the Joint Research Centre of the European Commission. It argues that the vision of Digital Earth put forward by Vice-President Al Gore 10 years ago needs to be re-evaluated in the light of the many developments in the fields of information technology, data infrastructures, and earth observation that have taken place since. It focuses the vision on the next-generation Digital Earth and identifies priority research areas to support this vision. The paper is offered as input for discussion among different stakeholder communities with the aim to shape research and policy over the next 5-10 years

CAS: centre for advanced studies

The JRC‘s Centre for Advanced Studies (CAS) was created in 2016 to help improve and bridge the interface between science and policy in order to enhance the JRC‘s capacity to better inform and influence the regulatory frameworks needed to address the new and emerging societal challenges confronting the EU and our societies as a whole. By creating the conditions necessary for innovative and interdisciplinary research, as well as offering a creative and generative space in which ideas and knowledge in emerging thematic fields across different scientific and technological disciplines can thrive and flourish, CAS has become an incubator for formal inquiry, stimulating ideas and activities and providing the JRC with new insights, data projections and solutions for the increasingly complex medium and longterm challenges facing the EU, especially in the fields of demography, big data and digital transformation. Through the performance of advanced, cutting edge research, ranging from applied research to topics of a more academic character, all within a stimulating trans- and interdisciplinary environment, CAS allows external researchers and scientists to work together with the JRC to explore and exchange new ideas and knowledge on scientific research in emerging fields of strategic societal importance, which might otherwise fall outside the policy support activities undertaken by the JRC on behalf of the European Commission