magerko, research

integrating computation, cognition, and creativity

Dr. Brian Magerko is an Associate Professor of Digital Media and computational media scholar who studies creativity as a formal sociocognitive phenomenon and how it can influence and be expressed through computational media. The philosophy behind Magerko’s work is that an authentic combination of technical and artistic / creative research can yield results that are greater than the sum of their parts and characteristically different than if one field were privileged over the other. This research trajectory has yielded nearly $12 million in research funding, an online computer science learning environment (called EarSketch) that has over 85,000 individual users and has been adopted as part of the national high school computer science curricular guidelines for AP courses; a 2016 White House press release concerning how EarSketch (co-founded by Magerko) has influenced federal education policy as a cornerstone of contemporary CS education efforts; and tech/arts experiences that have been showcased at conferences, learning institutions, galleries, and museums around the world.

Outputs of Dr. Magerko's research and studio work with students has yielded outputs such as: AI-based interactive artwork, interactive narrative and digital game experiences, educational digital media used worldwide, and empirically-based sociocognitive theories of creativity

Magerko earned his B.S. in Cognitive Science from Carnegie Mellon University in 1999 with a senior thesis on studying cognition in jazz expertise with Dr. Herbert A. Simon. He earned his Ph.D. in Computer Science and Engineering in 2006 from the University of Michigan, advised by Dr. John Laird, where he conducted research on employing predictive models in interactive narratives. Since joining the Georgia Institute of Technology in 2008, Dr. Magerko 's research has been published via conferences affiliated with major organizations such as ACM, AAAI, and IEEE yielding over 1500 citations. He has authored over 100 peer-reviewed publications in computational media, cognition, and learning sciences-related conferences, books and journals. His computational media work has been featured in museums, science centers, and news outlets such as CNN, The New Yorker, USA Today, and Digital Trends.