@article {2021,
	title = {Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research},
	year = {2021},
	institution = {Computing Community Consortium (CCC)},
	address = {Washington, DC},
	abstract = {<p>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.</p>},
	url = {https://cra.org/ccc/wp-content/uploads/sites/2/2021/03/CCC-TransitionPaperImagine-All-the-People.pdf},
	author = {Lea A. Shanley and Lucy Fortson and Tanya Berger-Wolf and Kevin Crowston and Pietro Michelucci}
}
