SoBigData proposes a Social Mining & Big Data Ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining on the various dimensions of social life, as recorded by “big data”. SoBigData opens up new research avenues in multiple research fields, including mathematics, ICT, and human, social and economic sciences, by enabling easy comparison, re-use and integration of state-of-the-art big social data, methods, and services, into new research. It not only strengthens the existing clusters of excellence in social data mining research, but also create a pan-European, inter-disciplinary community of social data scientists, fostered by extensive training, networking, and innovation activities.

King’s lead researchers: Tobias Blanke; Mark Cote; Marco Braghieri

Associated organisations: CNR (Consiglio Nazionale delle Ricerche), UNIPI (Università di Pisa), IMT (Scuola Istitutuzioni, Mercati, Tecnologia) and SNS (Scuola Normale Superiore) from Italy; USFD (University of Sheffield) from the United Kingdom; FRH (the Fraunhofer Institute for Intelligent Analysis and Information Systems and The Fraunhofer Institute for Computer Graphics Research) and LUH (Gottfried Wilhelm Leibniz Universitaet Hannover) from Germany; UT (Tartu Ulikool) from Estonia; AALTO (Aalto University) from Finland; ETHZ (Eidgenössische Technische Hochschule Zürich) from Switzerland; TUDelft (Technische Universiteit Delft) from the Netherlands.

SoBigData is the European Research Infrastructure for Big Data and Social Mining, which is being built within the European Union’s Horizon 2020 research and innovation programme. The project consortium features 12 research institutions based in seven different countries, including Italy, United Kingdom, Germany, Estonia, Finland, Netherlands and Switzerland. \n\nSoBigData proposes to create a Social Mining & Big Data Ecosystem, by building a research infrastructure based on an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining on the various dimensions of social life, as recorded by ‘big data’. \n\nThe project aims to open up new research avenues by enabling easy comparison, re-use and integration of state-of-the-art big social data, methods, and services in multiple research fields, including mathematics, ICT, and human, social and economic sciences. Thus, SoBigData intends to sstrengthen the existing clusters of excellence in social data mining research, but also create a pan-European, inter-disciplinary community of social data scientists, fostered by extensive training, networking, and innovation activities.\n\nSoBigData, as an open research infrastructure, promotes repeatable and open science. The project Data is built around six thematic clusters which comprise text and social media mining; social network analysis; human mobility analytics; web analytics; visual analytics and social data. \nAlthough SoBigData is primarily aimed at serving researchers’ needs, the open available datasets and open-source methods and services will also impact other groups of stakeholders, such as industrial entities, government bodies, policy makers and non-profit organisations. Moreover, the project is contributing to create a community of data scientists, preparing them to exploit the opportunities of big data and to incorporate data-driven science and innovation in their research. SoBigData is the European Research Infrastructure for Big Data and Social Mining, which is being built within the European Union’s Horizon 2020 research and innovation programme. The project consortium features 12 research institutions based in seven different countries, including Italy, United Kingdom, Germany, Estonia, Finland, Netherlands and Switzerland.

SoBigData proposes to create a Social Mining & Big Data Ecosystem, by building a research infrastructure based on an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining on the various dimensions of social life, as recorded by ‘big data’.

The project aims to open up new research avenues by enabling easy comparison, re-use and integration of state-of-the-art big social data, methods, and services in multiple research fields, including mathematics, ICT, and human, social and economic sciences. Thus, SoBigData intends to sstrengthen the existing clusters of excellence in social data mining research, but also create a pan-European, inter-disciplinary community of social data scientists, fostered by extensive training, networking, and innovation activities.

SoBigData, as an open research infrastructure, promotes repeatable and open science. The project Data is built around six thematic clusters which comprise text and social media mining; social network analysis; human mobility analytics; web analytics; visual analytics and social data.

Although SoBigData is primarily aimed at serving researchers’ needs, the open available datasets and open-source methods and services will also impact other groups of stakeholders, such as industrial entities, government bodies, policy makers and non-profit organisations. Moreover, the project is contributing to create a community of data scientists, preparing them to exploit the opportunities of big data and to incorporate data-driven science and innovation in their research.