eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations

  • David E. LosadaEmail author
  • Fabio Crestani
  • Javier Parapar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10456)


This paper provides an overview of eRisk 2017. This was the first year that this lab was organized at CLEF. The main purpose of eRisk was to explore issues of evaluation methodology, effectiveness metrics and other processes related to early risk detection. Early detection technologies can be employed in different areas, particularly those related to health and safety. The first edition of eRisk included a pilot task on early risk detection of depression.



We thank the support obtained from the Swiss National Science Foundation (SNSF) under the project “Early risk prediction on the Internet: an evaluation corpus”, 2015.

We also thank the financial support obtained from the (i) “Ministerio de Economía y Competitividad” of the Government of Spain and FEDER Funds under the research project TIN2015-64282-R, (ii) Xunta de Galicia (project GPC 2016/035), and (iii) Xunta de Galicia – “Consellería de Cultura, Educación e Ordenación Universitaria” and the European Regional Development Fund (ERDF) through the following 2016-2019 accreditations: ED431G/01 (“Centro singular de investigacion de Galicia”) and ED431G/08.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • David E. Losada
    • 1
    Email author
  • Fabio Crestani
    • 2
  • Javier Parapar
    • 3
  1. 1.Centro Singular de Investigación en Tecnoloxías da Información (CiTIUS)Universidade de Santiago de CompostelaSantiago de CompostelaSpain
  2. 2.Faculty of InformaticsUniversitá della Svizzera italiana (USI)LuganoSwitzerland
  3. 3.Information Retrieval LabUniversity of A CoruñaA CoruñaSpain

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