Third Call for SoBigData-funded Transnational Access

Publish Call for Proposal: 
Friday 2 February 2018 9:45 CET
Submission deadline: 
Friday 27 April 2018 (All day)
Applicant Notification: 
May 2018
Visits period: 
June - November 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). 

STSM visitors will be able to:

  • Interact with the local experts
  • Discuss research questions
  • Run experiments on non-public big social datasets and algorithms
  • Present results at workshops/seminars

The STSM visits will enable multi-disciplinary social mining experiments with the SoBigData Research Infrastructure assets: big data sets, analytical tools, services and skills.

Submission deadline: 20th April 2018, 11.59 PM (CET) extended to 27th April 2018, 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: UTSoBigData.it

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 UniversitySoBigData.it

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.

Sport Analytics

Participating Centres: SoBigData.itFraunhofer IGD

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.

 

Pre-requisites

  • 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)