Monday, June 29-Wednesday, July 1, 2020, 9 a.m.to 12:30 p.m.
Organized through RI C-AIM and Rhode Island College, this three-day virtual workshop offers guidance and resources for high school teachers, graduate students and post-docs on how best to utilize science and data visualizations in the classroom.
*This workshop satisfies the Data Visualization elective for RI C-AIM’s Career Development Program certificate*
What to expect:
Day 1
Learn how to integrate the fundamentals and best practices into your courses
- 9 a.m. Introductions: Dr. Anabela Maia, associate professor of Biology; Dr. Sally Hamouda, assistant professor of Mathematics and Computer Science; student intros
- 9:30 a.m. Welcoming Remarks: Joe Devin, Executive Director of Tech Collective; Dr. Ana Cano-Morales, Associate Vice President for Community, Equity and Diversity at RIC
- 9:45 a.m.Teacher introductions
- 10:10 a.m. Good vs. Bad visualizations
- 11 a.m. Data visualization tools
- 12-12:30 p.m. Q&A discussion, planning for Day 2
Day 2
Work in groups to plan out future lessons that incorporate data visualization
- 9 a.m. Welcoming Remarks: Dr. Geoff Bothun, principal investigator for RI C-AIM, professor of chemical engineering at URI
- 9:15 a.m. First day recap, overview of Day 2 expectations
- 9:55 a.m. Break out groups, Round 1
- 11:05 a.m. Break out groups, Round 2
- 12:10 p.m. Debriefing, Q&A discussion, planning for Day 3
Day 3
Present your work and participate in conclusion discussions
- 9 a.m. Welcoming Remarks: Dr. Anabela Maia
- 9:10 a.m. Student presentations
- 10:10 a.m. Dr. Patricia Thibodeau, RI C-AIM Post-Doctoral Fellow
- 10:20 a.m. Teacher presentations
- 11:50 a.m. to 12:30 p.m. Next steps and closing discussions
*Breaks will be provided throughout each day*
For further questions, please reach out any time to Dr. Sally Hamouda at shamouda@ric.edu or Lauren Cenedella at lcendella_2763@email.ric.edu
During the workshop, please use the following email to communicate with workshop organizers: visulizationworkshop@gmail.com
RI NSF EPSCoR is supported in part by the U.S. National Science Foundation under EPSCoR Cooperative Agreements #OIA-2433276 and in part by the RI Commerce Corporation via the Science and Technology Advisory Committee [STAC]. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. National Science Foundation, the RI Commerce Corporation, STAC, our partners or our collaborators.