CFP eRisk @ CLEF 2021 - Early risk prediction on the Internet

eRisk 2021


Data Mining & Analysis



CALL FOR CONTRIBUTIONS
eRisk @ CLEF 2021
Lab on Early risk prediction on the Internet
https://erisk.irlab.org/
Lab description:
eRisk explores the evaluation methodology, effectiveness metrics and practical applications (particularly those related to health and safety) of early
risk detection on the Internet. Early detection technologies can be employed in different areas, particularly those related to health and safety.
For instance, early alerts could be sent when a predator starts interacting with a child for sexual purposes, or when a potential offender starts
publishing antisocial threats on a blog, forum or social network. Our main goal is to pioneer a new interdisciplinary research area that would be
potentially applicable to a wide variety of situations and to many different personal profiles. Examples include potential paedophiles, stalkers,
individuals that could fall into the hands of criminal organisations, people with suicidal inclinations, or people susceptible to depression.
eRisk2021 has three experimental tasks:
-Task 1: Early detection of signs of pathological gambling.
-Task 2: Early detection of signs of self-harm.
-Task 3: Measuring the severity of the signs of depression.
More Info at: https://erisk.irlab.org/
Register to our lab at: http://clef2021-labs-registration.dei.unipd.it/registrationForm.php
Lab co-chairs
Javier Parapar, Univ. A Coruña, Spain
Patricia-Martin Rodilla, Univ. A Coruña, Spain
David E. Losada, Univ. Santiago de Compostela, Spain
Fabio Crestani, Univ. Lugano, Switzerland
Important dates
Release of training data T2/T3: 30/11/2020
Beginning of test stage T1/T2, Release of data T3: 01/02/2021 (server opens)
End of test phase: 16/04/2021
CLEF 2021: Bucharest, 21-24 September 2021