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

• URL: http://arxiv.org/abs/2104.00093v1
• Date: Wed, 31 Mar 2021 20:21:13 GMT
• Title: Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
• Authors: Lea A. Shanley, Lucy Fortson, Tanya Berger-Wolf, Kevin Crowston, and Pietro Michelucci
• Abstract summary: Machine learning, artificial intelligence, and deep learning have advanced significantly over the past decade. Humans possess unique abilities such as creativity, intuition, context and abstraction. To successfully tackle pressing scientific and societal challenges, we need the complementary capabilities of both humans and machines.
• Score: 7.111661677477925
• License: http://creativecommons.org/licenses/by/4.0/
• 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 artificial intelligence (AI), Internet of Things (IoT), and cloud strategies.

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