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Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research

Published 31 Mar 2021 in cs.CY and cs.AI | (2104.00093v2)

Abstract: Machine learning, artificial intelligence, and deep learning have advanced significantly over the past decade. Nonetheless, humans possess unique abilities such as creativity, intuition, context and abstraction, analytic problem solving, and detecting unusual events. To successfully tackle pressing scientific and societal challenges, we need the complementary capabilities of both humans and machines. The Federal Government could accelerate its priorities on multiple fronts through judicious integration of citizen science and crowdsourcing with AI, Internet of Things (IoT), and cloud strategies.

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