The SoBigData project invites researchers and professionals to apply to participate in Short Term Scientific Missions (STSMs) to carry forwards their own big data projects. These opportunities are offered as part of SoBigData's Transnational Access (TNA) activities and calls for for applications are opened every six months. We welcome applications from individuals with a scientific interest, professionals, startups and innovators that may benefit from training in data science and social media analytics (access for user groups with a majority of users not working in a EU or associated country is limited to 20% of the total amount of units of access provided under the grant).
STSM visitors will be able to:
The STSM visits will enable multi-disciplinary social mining experiments with the SoBigData Research Infrastructure assets: big data sets, analytical tools, services and skills.
Brief description: The exploratory is concerned with investigating city mobility. Our data scientists already study the traffic in the Italian cities of Pisa and Florence by analyzing Big Data sources such as mobile phone traces, veicular gps and social media data as proxy of human behaviour. New STSM proposals on complementary topics are welcome.
Brief description: This exploratory uses data of purchases in supermarkets and investigates the changes in people’s behavior after the economic crisis. This study allows to work out an early indicator of diseases. We also study the measurement of the real cost of life by studying the price variation. Furthermore we try to correlate people's well being with their social and mobility data. We also focus on systemic risk and credit risk measures and modeling using a complex network approach. Furthermore, we work on the topic of network reconstruction from partial information, focusing on social, economic and financial systems. New STSM proposals on complementary topics and/or methods are welcome.
Brief description: By analysing discussions on social media and newspaper articles, this exploratory studies public debates to understand which are the most discussed topics, key opinions and stances expressed, and the characteristics of the various debate participants. By automatically analyzing and understanding text documents, we identify themes, follow the discussions around them, and track them through time and space.
Brief description: This exploratory will try to answer key questions around migration within Europe and worldwide, with particular focus on economic models of migration. Social media is being used as a key information source.
Brief description: This exploratory aims at investigating new ways of measuring sports performance from Big Data sources, allowing for monitoring and possibly predict the activity of professional athletes. The exploratory also focuses on investigating the relation between sports performance and success, intended as both success of players, tactics and strategies in sports competitions and success of players and teams in terms of popularity and revenues.