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

March 27-28, 2023

Boston, Massachusetts

Organizers:

Center for Communicable Disease Dynamics (CCDD) at Harvard T.H. Chan School of Public Health &

MIDAS Coordination Center at the University of Pittsburgh

2018 Conference Participants
2018 Workshop Participants

Apply now!

Application Deadline:

January 15, 2023 11:59 PM EST

Overview:

The Workshop to Increase Diversity in Mathematical Modeling and Public Health is an annual event for undergraduates or students in a post baccalaureate program from underrepresented groups who have an interest in public health and/or mathematical modeling, and are studying quantitative disciplines and/or public health at their home institutions. See eligibility requirements link below.

Infectious disease modeling is an exciting field whose practitioners study the mechanisms by which diseases spread, to predict future outbreaks, track current outbreaks, and evaluate methods to control an epidemic. Currently, CCDD and MIDAS members are using infectious disease modeling in the fight against the COVID-19 pandemic, including predicting the trajectory of the disease and communicating findings to policymakers and the public about strategies to slow disease spread, and illustrating how inequities result in increased risk and severity of disease, and strategies for promoting health equity across a population. Hear from some of the top experts in the field and their experiences during the pandemic!

Over one and a half days, students get a brief introduction to the existing possibilities in mathematical modeling. Sessions will include introductions to computational tools,  and scientific talks from public health researchers and trainees who use infectious disease epidemiology and mathematical modeling to solve problems in public health. They will also engage in professional development and networking opportunities, and participate in hands-on activities to practice the concepts and skills they are learning. (Depending on your background, hands-on activities will be in one of the following programs: R, Excel, or SAS.)

Shermaine Hutchins on Networking
Shermaine Hutchins on Networking, 2018

Eligibility Criteria:

This workshop exists to increase diversity in the field of mathematical modeling and public health. Click here to view eligibility criteria.

How to apply:

Application opens: December 1, 2022

Application closes: January 15, 2023 11:59 PM EST

Students must apply and be accepted to the workshop to participate.  Accepted students receive free workshop admission. We also offer travel scholarships that cover transportation (airfare, train or bus fare to Boston) and hotel costs. More details will be provided to accepted students.

Apply Now

 

Organizers: 

The Center for Communicable Disease Dynamics (CCDD) at the Harvard T.H. Chan School of Public Health is focused on improving methods for mathematical modeling and statistical inference on infectious disease data, engagement with policy makers to use the results of transmission dynamic studies to improve decisions, and outreach to multiple constituencies to provide education about communicable disease dynamics, tools for their analysis, and opportunities for interaction with scientists in the field.

The MIDAS (Modeling of Infectious Disease Agent Study) Network is a collaboration of researchers who develop computational models of the interactions between infectious agents and their hosts, disease spread, prediction systems and response strategies. The tools and methods developed by the modelers can be useful to a variety of stakeholders who want to better understand emerging infectious diseases.

This workshop will be funded in part by contract 200-2016-91779 with the Centers for Disease Control and Prevention and in part by NIGMS grant U24GM132013 in support of the MIDAS Coordination Center at the University of Pittsburgh.

Questions?

Tiggy Menkir, CCDD at Harvard: tmenkir@hsph.harvard.edu,
Zach Schwartz, CCDD at Harvard: zschwartz@hsph.harvard.edu, and
Kristin Kropf, MIDAS Coordination Center at the University of Pittsburgh: khk22@pitt.edu