Tenth Annual Conference to Increase Diversity in Mathematical Modeling and Public Health

This conference is hosted by the MIDAS Coordination Center in cooperation with the Center for Communicable Disease Dynamics (CCDD) at Harvard T. H. Chan School of Public Health.

Dates: Friday, January 21 – Sunday, January 23, 2022 
Venue: online 
Application Deadline Extended: January 14, 2022 at 11:59 PM EST 

Apply here

Watch this 3-minute video to learn more!

This conference is for undergraduate students or students in a post baccalaureate program from underrepresented groups who have an interest in public health and mathematical modeling of infectious diseases. The conference will introduce students to modeling methods and familiarize students with modeling resources of the MIDAS Network.  

This conference will include: 

  • Scientific talks from MIDAS researchers and graduate students who use infectious disease epidemiology and mathematical modeling to study infectious diseases;  
  • Hands-on sessions* where students will have the opportunity to practice the concepts and skills they are learning using MIDAS resources, and; 
  • Professional development and networking opportunities  

*Depending on your background, hands-on sessions will be in R, Excel, or SAS. 

Students must satisfy all the requirements below. Applicants must:

  • Be U.S. citizens, U.S. nationals or permanent residents of the U.S.
  • Be undergraduate students or students in a post-baccalaureate program
  • Be from an underrepresented group as defined by the NIH, which includes:
    • Racial and ethnic groups that are underrepresented, such as:
      • Blacks or African Americans
      • Hispanics or Latinos/as
      • American Indians or Alaskan Natives
      • Native Hawaiians and other Pacific Islanders
    • Students with disabilities
    • Students from disadvantaged backgrounds
  • Have an interest in public health or infectious disease epidemiology


There is no registration fee. Costs are covered by the MIDAS Coordination Center, the Harvard CCDD, and the participating instructors.



January 21-23, 2022



Sitio web del evento


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