AI Competitions and Benchmarks, Practical issues: Proposals, grant money, sponsors, prizes, dissemination, publicity

This book explains how AI competitions and benchmarks are created, run, and used. It brings together lessons from experienced organizers in academia, industry, and non-profits. Covering topics like datasets, evaluation, platforms, and incentives, it shows how challenges drive research, education, and innovation. Designed for researchers, engineers, and organizers, it is a practical guide to understanding and building impactful AI competitions : book URL

Recommended citation: Richard, M., Blum, Y., Guinney, J., Stolovitzky, G., & Pavão, A. (2024). AI Competitions and Benchmarks, Practical issues: Proposals, grant money, sponsors, prizes, dissemination, publicity. arXiv preprint arXiv:2401.04452.
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