|
Announcing the First Round of COVID Research Lightning Talks
Meet the researchers seeking new insights on COVID-19. Starting in September, we're hosting a monthly series of lightning talks by researchers studying wide-ranging aspects of the current pandemic, to share their research and answer questions from our community. Learn more about their ongoing efforts in the fight against COVID-19, including opportunities for collaboration, and join us at our next event on Wednesday, September 16, at 2-3PM ET. Click here to learn more and register.
September 2020 Featured Speakers:
Erick Jones, University of Texas at Arlington: EAGER: AI-Enabled Optimization of the COVID-19 Therapeutics Supply Chain to Support Community Public Health.
Howard Stone, Princeton University: RAPID: Flow Asymmetry in Human Breathing and the Asymptomatic Spreader.
Michael Pazzani, University of California San Diego: RAPID: Explainable Machine Learning for Analysis of COVID-19 Chest CT.
Ashok Srinivasan, University of West Florida: Collaborative: RAPID: Leveraging New Data Sources to Analyze the Risk of COVID-19 in Crowded Locations.
Dominique Duncan, University of Southern California: RAPID: COVID-ARC (COVID-19 Data Archive).
Debbie Kim, University of Chicago: RAPID: Pandemic Learning Loss in U.S. High Schools: A National Examination of Student Experiences.
Nora Garza, Laredo College: RAPID: Using real life COVID-19 Data to teach quantitative reasoning skills to undergraduate Hispanic STEM students.
Ajitesh Srivastava, University of Southern California: RAPID: ReCOVER: Accurate Predictions and Resource Allocation for COVID-19 Epidemic Response.
|
|
|
COVID Information Commons Website Updates
|
|
Researchers throughout the Northeast are using data to mitigate the widespread impacts of COVID-19. In a new interview series on the Northeast Big Data Hub blog, learn about their ongoing work and new insights, including opportunities for collaboration that could enable further progress in the fight against the pandemic.
Our series launches this month with conversations with the following 11 researchers.
- Sarah Bowman, Hauptman-Woodward Medical Research Institute
- John Dennehy, Queens College, CUNY
- Leila Hedayatifar, New England Complex Systems Institute
- Debra Laefer, New York University
- Bernhard Leidner, University of Massachusetts Amherst
- Samantha Penta, University at Albany
- Amy Pickering, Tufts University
- Maurizio Porfiri, New York University
- Ramesh Raskar, Massachusetts Institute of Technology
- Cassandra Thiel, New York University
- Tracy Van Holt, New York University
Look for more stories to come! Are you a researcher in the Northeast studying COVID-19? Email the Northeast Big Data Innovation Hub team to learn how to be featured in this series.
|
|
|
If you haven't already, join the COVID Information Commons Community on Slack to exchange insights and develop collaborations with stakeholders in academia, industry, nonprofit, and government invested in finding solutions to the wide-ranging effects of COVID-19.
|
|
The COVID Information Commons (CIC) serves as a resource for researchers, students and decision-makers from academia, government, nonprofit, and industry to identify collaboration opportunities, to leverage each other's research findings, and to accelerate the most promising research to mitigate the broad societal impacts of the COVID-19 pandemic.
To suggest COVID research-related news, events, and opportunities for an upcoming newsletter, please email info@covidinfocommons.net.
Help build our community by forwarding CIC news widely, and encourage your colleagues to sign up for updates via this web form.
Thanks! —The CIC Project Team |
|
|
|
|
