Disparities and COVID-19: A Two-Day Virtual Workshop on Data Science for Social Good

Jan 19
8:30 am - 1pm EST
Online
Registration is required
This event is free

Who can attend?

  • Faculty
  • Staff
  • Students
  • General public

Contact

Malone Center for Engineering in Healthcare

Description

Tragically, the burdens of the COVID-19 pandemic often fall on the most vulnerable members of society. In this two-day virtual symposium (Jan. 11 and Jan. 19), we will engage the broader Johns Hopkins community in a meaningful conversation on various aspects of disparities arising from the COVID-19 pandemic. Join the Malone Center for Engineering in Healthcare for an interactive discussion on how data science approaches and methods contribute to better understand, address, and mitigate the disparate impact of COVID-19.

In addition to keynotes and short talks, the event will involve data science teams working on various aspects of the COVID-19 disparity problem. Scheduling the event over two days, separated by a week, will give these teams a chance to present their approach during the first day, continue their work over the course of a week, and report their preliminary results during the second day of the event.

The two-day event will feature:

  • four keynotes
  • short talks by COVID-19 thought leaders
  • team lightning talks
  • hackathon

Learn more about the event and the speakers online.

Who can attend?

  • Faculty
  • Staff
  • Students
  • General public

Registration

Registration is required

Please register in advance

Contact

Malone Center for Engineering in Healthcare