These are host Alyssa Goodman's introductory slides for the Next in Data Visualization event held at the Radcliffe Insitute for Advanced Study in April 2019. (#RadDataViz)
Event abstract: 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.
Background: Radcliffe's 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.
Speakers: Michelle Borkin, Northeastern; Arvind Satyanarayan, MIT; Danielle Albers Szafir, U. Colorado; Blacki Miglozzi, NY Times.
Video: will be available after May 1, 2019 via Radcliffe's site and on YouTube.
Handouts: The 2-page pdf file below includes the 1-page glue and 10QViz handouts. See the websites for "10 Questions to Ask When Creating a Visualization" (a.k.a.10QViz.org) and the glue project (a.k.a. glueviz) for more information.
Dataverse link to all materials, including Keynote slides
Reference with doi for this work: Goodman, Alyssa, 2020, "Next in Data Visualization", https://doi.org/10.7910/DVN/YWGZNB, Harvard Dataverse, V1