11th Annual Workshop to Increase Diversity in Mathematical Modeling and Public Health: Agenda

Thank you for joining us on March 27-28, 2023 for the 11th Annual Workshop to Increase Diversity in Mathematical Modeling & Public Health! Below please find our workshop agenda as well as linked slides.

Pre-Workshop Session

Training in R with Jess Kerr, MPH, University of Pittsburgh

  • R Intro Session – Wednesday, 22 March 2023 | 5:00 – 6:00 p.m. EST
  • R Intro Session – Thursday, 23 March 2023 | 2:00 – 3:00 p.m. EST

Please note that R training is required for all student participants. If you are unable to make it to one of these sessions, please be in touch for a session recording.

Workshop, Day 1: Monday 27 March 2023

8:00 – 8:15 | Arrival & Breakfast
8:15 – 8:20 | Opening Remarks by Marc Lipsitch, DPhil
8:20 – 9:30 | Keynote by Keletso Makofane, PhD
9:30 – 10:00 | Group Introduction
10:00 – 11:30 | Career Panel, Moderated by Tigist Menkir, PhD Candidate, Population Health Sciences, Harvard T.H. Chan School of Public Health

  1. Aishani Aatresh, Harvard College undergraduate
  2. David Swerdlow, MD, formerly of Pfizer and CDC, Harvard CCDD Fellow
  3. R. Monina Klevens, DDS, MPH, Massachusetts Department of Public Health
  4. Mary Bushman, PhD, Instructor in Epidemiology & Postdoctoral Research Fellow, Harvard CCDD
  5. Bryan Bryson, PhD, Associate Professor, Massachusetts Institute of Technology

11:30 – 12:00 | Break
12:00 – 1:00 | Lecture 1

Stephen Kissler, PhD – Introduction to SIR Modeling (slides)

1:00 – 2:00 | Lunch & Networking
2:00 – 2:45 | Breakout Session: Intro to SIR models and basic extensions
2:45 – 3:15 | Break
3:15 – 4:15 | Lecture 2

Laura White, PhD – Statistical Issues in Infectious Diseases (slides)

4:15 – 5:00 | Breakout Session: Back-of-the-envelope calculations
5:00 | Break for Day

6:30 | Dinner, Fenway Room

Workshop, Day 2: Tuesday 28 March 2023

8:00 – 8:15 | Arrival & Breakfast
8:15 – 9:30 | Group Work Session: Outbreak scenario
9:30 – 10:30 | Lecture 3

Mauricio Santillana Guzman, PhD: Using machine learning and novel data sources to monitor and forecast disease outbreaks

10:30 – 11:00 | Break
11:00 – 12:00 | Breakout Session: Forecasting activity
12:00 – 1:00 | Lunch & Networking
1:00 – 1:30 | Closing Remarks (slides) by Harry Hochheiser, PhD
1:30 | End of Workshop