In a new workshop report published by the Computing Community Consortium (CCC), Grand Challenges for the Convergence of Computational and Citizen Science Research, experts across disciplines examine the ways in which artificial intelligence (AI) and citizen science can mutually enrich each other, fostering increased opportunity for advancement in numerous scientific fields. The report presents a roadmap for maximizing the potential of citizen science through the contributions of AI — and vice versa — while also demonstrating the broader applications of this union for challenges across ecological, infrastructural, clinical, and other domains. “We are entering a brave new world where we are renegotiating the relationship between humans and machines,” says Lucy […]

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Computing Community Consortium

The Computing Community Consortium (CCC) has published a workshop report outlining grand challenges for converging AI and citizen science. Drawing on input from 46 experts across academia, NGOs, industry, and federal agencies, the report identifies five strategic priorities: creating novel human-AI interaction models, improving feedback loops between volunteers and scientists, building trustworthy systems, ensuring data security and privacy, and designing scalable infrastructure. Key recommendations include establishing a national convergence infrastructure, advancing foundational socio-technical research, and developing human capital. The report argues that volunteer citizen scientists provide data labeling, analysis, and creativity that complements AI capabilities, and that combining both can accelerate scientific discovery across ecological, clinical, and infrastructural domains.

Enhancing Scientific Capability by Converging AI and Citizen Science