News

Find out about the Centers for Disease Control and Prevention (CDC) Public Health Analytics and Modeling Fellowship, as well as MIDAS members who received Fellowships in 2021.

MIDAS members were interviewed on NPR about the latest COVID-19 projections.

On September 1, 2021, the World Health Organization (WHO) inaugurated the Hub for Pandemic and Epidemic Intelligence.  “To better address pandemic and epidemic risks, the

MIDAS members lead the new Center for Forecasting and Outbreak Analytics.

Check out how to participate in the latest round of the COVID-19 Scenario Modeling Hub!

Check out how to participate in the latest round of the COVID-19 Scenario Modeling Hub!

NIH released a new Notice of Special Interest (NOSI) to communicate a special interest in epidemiology investigations to quantify the impact of the COVID-19 pandemic on HIV prevention, incidence, transmission, and outcomes. Several areas of interest are relevant to MIDAS members’ research.

Seeking collaborators to help with the AI for Good COVID-19 Simulator!

Check out the latest updates from the Covid-19 Scenario Modeling Hub!

NIGMS has renewed funding for modeling research on SARS-CoV-2 and COVID-19.

Announcing the Round 2 Supplemental award recipients for the MIDAS COVID-19 Urgent Grant Program!

Read about the new Scenario Modeling Hub and how you can participate!

Read about this funding opportunity to support investigative and collaborative research focused on developing and evaluating simulation modeling and systems science to understand and address minority health and health disparities.

The next Conference to Increase Diversity in Mathematical Modeling and Public Health is going online. Apply now!

Announcing the award recipients for the MIDAS COVID-19 Urgent Grant Program!

Researchers are now able to request access to the N3C Data Enclave, a centralized national COVID-19 data analytics platform to enable the rapid collection and analysis of clinical, laboratory and diagnostic data.  

Congratulations to MIDAS member Professor Marc Lipsitch on being newly elected to the National Academy of Medicine!

MIDAS member Dr. Lauren Gardner is listed as a ‘Pioneer’ on TIME Magazine list of 100 most influential people in 2020.

MIDAS member Prof. Alex Vespignani receives 2020 Euler Prize.

Recommended reporting items for epidemic forecasting and prediction research: the EPIFORGE 2020 guidelines.

Drs Caitlin Rivers and Alison Galvani were profiled in articles featured in Science and Lancet Infectious Diseases magazines!

MIDAS member Dr. Trevor Bedford is among the Fortune 40 Under 40 in Healthcare!

NIAID awards grants to establish the Centers for Research in Emerging Infectious Diseases (CREID).

Dr. Ana Bento joins WHO’s Technical Advisory Group of Experts on Educational Institutions and COVID-19.

For postdocs and early stage investigators – find out more about this funding opportunity!

The National Institute of General Medical Sciences (NIGMS) has reissued the funding opportunity announcement for the Maximizing Investigators’ Research Award (MIRA) for Early Stage Investigators. Some MIDAS members have successfully applied for this award. Find out more about this opportunity!

The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) at the University of Washington received an R25 grant from NIAID, and will continue for several more years.

The MIDAS Coordination Center announces a new COVID-19 funding program for MIDAS members!

See how this visualization from the New York Times incorporates research by MIDAS members.

Interested in modeling collaboration for COVID-19? Read more about the new Multi-Model Outbreak Decision Support (MMODS) project!

Watch this PBS NewsHour segment on COVID-19 modeling with Miles O’Brien interviewing MIDAS members Betz Halloran and Nicholas Reich.

The Reich Lab’s COVID-19 Forecast Hub standardizes forecast data from many models to create an ensemble model, including models from several other MIDAS researchers. The CDC and news media such as FiveThirtyEight use the COVID-19 Forecast Hub as a data source.