The Next in Science series allows early-career scientists whose creative, cross-disciplinary research is thematically linked to introduce their work to one another, to fellow scientists, and to nonspecialists from Harvard and the Greater Boston area.
Innovative data visualization reveals patterns and trends otherwise unseen. The four speakers in this program represent a range of visualization expertise, from human cognition to user interaction to tool design to the use of visualizations in journalism. As data sets in science, medicine, and business become larger and more diverse, the need for—and the impact of—good visualization is growing rapidly. The presentations will highlight a wide scope of visualization’s applicability, using examples from personalized medicine, government, education, basic science, climate change, and more.
Free and open to the public.
Videos will be available approximately 4 weeks after the event on this site and on YouTube.
Alyssa Goodman RI ’17, codirector of the science program at the Radcliffe Institute and Robert Wheeler Willson Professor of Applied Astronomy in the Faculty of Arts and Sciences, Harvard University
Michelle Borkin, assistant professor, Khoury College of Computer Sciences, Northeastern University, and codirector of the Northeastern University Visualization Consortium
Data Visualization Across Disciplines
Arvind Satyanarayan, assistant professor, Department of Electrical Engineering and Computer Science, MIT
Visualization: A Petri Dish for Intelligence Augmentation
Danielle Albers Szafir, assistant professor of information science and affiliate professor of computer and cognitive science, University of Colorado Boulder
Driving Exploratory Visualization through Perception and Cognition
Blacki Migliozzi, graphics editor, New York Times
Visualizing Climate Change
Discussion and Audience Q&A
Moderated by Alyssa Goodman