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

TL;DR

This paper discusses integrating citizen science and crowdsourcing with AI, IoT, and cloud computing to leverage human creativity and intuition alongside machine capabilities for scientific and societal progress.

Contribution

It highlights the potential of combining human and machine intelligence through citizen science to accelerate research and address societal challenges.

Findings

Humans provide creativity and intuition that complement AI capabilities.

Integrating citizen science with AI can accelerate scientific discovery.

Government strategies can benefit from this human-machine collaboration.

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.