Neuromatch Academy: Teaching Computational Neuroscience with Global Accessibility

• Published in: Trends in cognitive sciences Vol. 25; no. 7; pp. 535 - 538
• Main Authors: van Viegen, Tara, Akrami, Athena, Bonnen, Kathryn, DeWitt, Eric, Hyafil, Alexandre, Ledmyr, Helena, Lindsay, Grace W., Mineault, Patrick, Murray, John D., Pitkow, Xaq, Puce, Aina, Sedigh-Sarvestani, Madineh, Stringer, Carsen, Achakulvisut, Titipat, Alikarami, Elnaz, Atay, Melvin Selim, Batty, Eleanor, Erlich, Jeffrey C., Galbraith, Byron V., Guo, Yueqi, Juavinett, Ashley L., Krause, Matthew R., Li, Songting, Pachitariu, Marius, Straley, Elizabeth, Valeriani, Davide, Vaughan, Emma, Vaziri-Pashkam, Maryam, Waskom, Michael L., Blohm, Gunnar, Kording, Konrad, Schrater, Paul, Wyble, Brad, Escola, Sean, Peters, Megan A.K.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.07.2021
• Subjects: accessibility; computational neuroscience; data science; education; inclusivity; Medicin och hälsovetenskap; Python coding; Python coding; inclusivity; education; computational neuroscience; data science; accessibility
• ISSN: 1364-6613; 1879-307X; 1879-307X
• DOI: 10.1016/j.tics.2021.03.018

Neuromatch Academy (NMA) designed and ran a fully online 3-week Computational Neuroscience Summer School for 1757 students with 191 teaching assistants (TAs) working in virtual inverted (or flipped) classrooms and on small group projects. Fourteen languages, active community management, and low cost allowed for an unprecedented level of inclusivity and universal accessibility.