Publish Call for Proposal: 
Monday 16 October 2017 11:30 CEST
Submission deadline: 
Saturday 16 December 2017 0:00 CET
Extended Deadline: 
Friday, 2017, December 15 - 12:00am
Applicant Notification: 
January 2018
Visits period: 
February - June 2018

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). 

Submission deadline has been extended: new deadline 15th December 2017, 11.59 PM (CET)

Each STSM proposal needs to be aligned with one of the following exploratories and also specify which of the centres listed above they wish to access:

City of Citizens:

Participating Centres: SoBigData.itAalto University

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.

Well-being and Economy:

Participating Centres:

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.

Societal Debates:

Participating Centres: GATELUHFraunhofer IGDAalto

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.

Migration Studies:

Participating Centres: SoBigData.itGATEETHZ

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.


  • Good understanding of social data and, ideally, track record of prior social data analysis projects
  • Experience with using at least one of machine learning, natural language processing, and/or complex networks algorithms

User Selection panel

  • Thorsten May, Fraunhofer Institute for Computer Graphics Research IGD (Internal)
  • Cristina Muntean, Istituto di Scienza e Tecnologie dell'Informazione, CNR (Internal)
  • Gionis Aristides, Department of Computer Science, Aalto University (Internal)
  • Gerhard Lauer, Digital Humanities Lab, University of Basel (External)
  • Arkaitz Zubiaga, Department of Computer Science, University of Warwick (External)
  • Chedy Raïssi, INRIA (External)
  • Matteo Magnani, Department of Information Technology, Uppsala University (External)
  • Marc Plantevit, Université Claude Bernard Lyon 1 (External)
  • Barbara Plank, University of Groningen (External)
  • Celine Robardet, National Institute of Applied Science in Lyon (External)
  • Georgiana Ifrim, School Of Computer Science, University College Dublin (External)