Big-eRisk: Early prediction of personal risks on massive data (PLEC2021-007662)
Mental disorders are complex and can manifest in very different ways. In 2017, 792 million people lived with some kind of mental problem. Experts have recently warned that the aftermath of the current COVID-19 situation can put mental health problems as the next global pandemic. An early diagnosis is key to success in the treatment of those issues. Social media is a valuable source where we can find evidence related to people at risk of suffering from mental health problems. Users can preserve their anonymity while receiving the support and experience of others.
Since 2017, we have been promoting this line of research. eRisk (https://erisk.irlab.org/) is a shared-task international campaign that explores evaluation methodologies, effectiveness metrics and practical applications (particularly those related to health and safety) of early risk detection on the Internet. In the last five years of this international competition, we have released many datasets for risks such as depression, eating disorders, self-harm or pathological gambling. We have formed a solid interdisciplinary team to carry out Big-eRisk, including two organizers of eRisk, Javier Parapar and David E. Losada. The team, led by the University of A Coruña, includes the University of Santiago de Compostela, and Linknovate, a research-intensive Stanford University start-up with strong ties with the teams from the Universities.
The hired researchers would work on the main challenges of the project, which include:
You must have a BSc in CS or related fields and a Master’s degree completed (or meet the requirements for PhD enrollment access) at the time of appointment.
Each PhD contract is for a period of 1 year (with the possibility of extension) and a gross salary of 22.000 €/year plus medical care coverage, work accident insurance through the Spanish Health Care System, coverage for unemployment, and pension contribution by the employer.
These contracts would start around January 2022 (we are flexible about the starting dates).
To apply, send your CV, research statement, and contact information to irlab en udc.es.