CROWD SCIENCE INITIATIVE
We bring together the research and industry communities to study and develop the practices and policies of reliable data collection – a backbone of fair, trustworthy, and efficient AI.
Data is the backbone of AI. Modern algorithms rely on large amounts of carefully annotated data to advance the state-of-the-art in many applications and assist humans in solving real-life problems. Thus, performance of the AI algorithms rely heavily on the quality of data used to train these algorithms.

Our initiative aims at scrutinizing the data collection practices with the goal of addressing the challenges facilitating the development of AI. For this, we bring together the research and industry communities and offer a platform to interact, collaborate and advance the expertise in crowdsourcing and related areas.
Meet our team
data enthusiasts from different universities and companies across the world
Alexey Drutsa
Daria Baidakova
Dmitry Ustalov
Gulia Ismagilova
Fabio Casati
Galina Chikunova
Ivan Stelmakh
Alexey Drutsa
Daria Baidakova
Dmitry Ustalov
Fabio Casati
Gulia Ismagilova
Ivan Stelmakh