Crowd Science Initiative

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.

Now: preparing a set of events about AI in Healthcare

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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 and 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.

Our initiative aims at scrutinizing the data collection practices with the goal of addressing the challenges and 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.

Join our activities

Seminar Series

We host a venue where researchers and practitioners can discuss their work, exchange ideas, and find collaborations.

Watch live or give a talk

Workshops and Tutorials

We organize events at top-tier conferences to spark an interest in fundamental research in the broad area of crowd science.

Attend

Challenges

To bridge the gap between theory and practice, we host data challenges to let researchers evaluate their ideas on real data.

Challenge yourself

News from the commuity

NeurIPS IGLU competition