U.S. flag An official website of the United States government
  1. Home
  2. Science & Research
  3. Science and Research Special Topics
  4. Advancing Regulatory Science
  5. Use of Online Data to Fortify Regulatory Science by Dr. Mark Dredze - 06/09/2021 - 06/09/2021
  1. Advancing Regulatory Science

Webcast

Event Title
Use of Online Data to Fortify Regulatory Science by Dr. Mark Dredze
June 9, 2021


Date:
June 9, 2021
Time:
3:00 PM - 4:00 PM ET

Johns Hopkins University CERSI

Wednesday, June 9, 2021
3:00 – 4:00 PM (Eastern Standard Time)

Presented By

Mark Dredze, PhD

Mark Dredze, PhD
John C Malone Associate Professor,
Computer Science
Johns Hopkins University

About the Presentation

A responsive approach to regulation requires current and actionable information about the regulatory landscape. Whether crafting and enforcing regulations regarding therapeutics, vaccines, tobacco or medical devices, regulators need an accurate picture of current trends and issues in the marketplace. Staying informed has become increasingly difficult due to diverse and changing marketplaces, and established techniques for tracking developments fail to keep up with the latest trends. In this talk, I will discuss how online data can inform regulatory science. By mining existing online data sources, such as news media, web search trends and social media, emerging issues can be identified to ensure that regulations can be effective and responsive to the changing environment.

About the Presenter

Mark Dredze, PhD is the John C Malone Associate Professor of Computer Science at Johns Hopkins University. He is affiliated with the Malone Center for Engineering in Healthcare, the Center for Language and Speech Processing, among others. He holds a secondary appointment in the Department of Health Sciences Informatics in the School of Medicine. He obtained his PhD from the University of Pennsylvania in 2009.
Prof. Dredze’s research develops statistical models of language with applications to social media analysis, public health and clinical informatics. Within Natural Language Processing (NLP) he focuses on statistical methods for information extraction but has considered a wide range of NLP tasks, including syntax, semantics, sentiment and spoke language processing. His work in public health includes tobacco control, vaccination, infectious disease surveillance, mental health, drug use, and gun violence prevention. He also develops new methods for clinical NLP on medical records. His work is regularly covered by major media outlets, including NPR, the New York Times and CNN.

Remote Access Information

Please register in advance for this lecture at:

https://jh.zoom.us/webinar/register/WN_HGCl0FfcRoWPUsin-Q6nng

For Questions and Reasonable Accommodations:

Please contact Rebekah Zinn at Rebekah.Zinn@fda.hhs.gov or go to Interpreting.Services@oc.fda.gov.

 

Back to Top