AIcrowd

AIcrowd

Open platform for data science challenges

AIcrowd is an open crowdsourcing platform for reproducible AI research challenges. It provides tooling for dataset hosting, submission evaluation, leaderboards, and baseline implementations. The platform supports a wide variety of task types including reinforcement learning, natural language processing, and biomedical AI, and has hosted challenges in partnership with academic and industry organizations.

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  • Technical

Salathe Lab

Salathe Lab
Marcel Salathé

Prof. Marcel Salathé

The Lab of Digital Epidemiology is concerned with the dynamics of health and disease in human populations.
Research in epidemiology aims to identify the distribution, incidence, and etiology of human diseases to improve the understanding of the causes of diseases and to prevent their spread. Traditionally, epidemiology has been based on data collected by public health agencies through health personnel in hospitals, doctors’ offices, and out in the field. In recent years, however, novel data sources have emerged where data are frequently collected directly from individuals through the digital traces they leave as a consequence of modern communication and an increased use of electronic devices.

This page was last edited on 2024-04-14.