AAAS recognizes scientists doing excellent public engagement with two awards.
Shouldn't the Starbucks app learn who pays with the app, and land them on the pay tab when they open the app while in a Starbucks? Shouldn't Instagram learn and auto-populate tags people use frequently? Shouldn't medical supply systems likewise learn what clinicians often want? So much attention gets focused on cutting-edge applications of artificial intelligence (AI), like self-driving cars or robotic surgery, that many mundane but immediately useful time- and cost-saving applications get overlooked, says John Zimmerman, professor of Human-Computer Interaction at Carnegie Mellon University and a 2020-21 AAAS Leshner Leadership Institute Public Engagement Fellow.
Making science relatable requires a variety of engagement strategies, from facilitating in-depth discussions with local policy leaders to translating technical language for the classroom.