The COVID-19 pandemic has emphasized the need for a more robust disease surveillance infrastructure. However, the development of such an infrastructure runs into a double-bind. Assurances of privacy require adversarial testing against realistic systems. Likewise, it is difficult to build realistic systems without access to data. To get around this problem, we created synthetic datasets that reflect a realistic disease outbreak.
Hot Topics
Over two years since the PREPARE virtual organization was created, we’ve synthesized a research roadmap based on what we’ve learned from workshops we’ve hosted, conversations with community members, podcast interviews, and literature review. And we’re coming together to get some final input from the community—did we get it right? what are we missing? what are general lessons learned you’d like to share with the NSF? Go to our Roadmap Forum to leave your comments.
To tackle financial crime and public health emergencies, the UK-US Privacy-Enhancing Technology challenge is using synthetic datasets created by UVA’s Network Systems Science and Advanced Computing (NSSAC) Division!
You're invited to join the virtual discussion with these world-renowned scientists as we work to identify key post-COVID challenges in the control of vaccine-preventable diseases (VPDs) such as measles and polio. Watch on our
Join us for these exciting panels on Scalable Computing for Pandemic Preparedness!
It has been just over a year since the PREPARE (Pandemic Research for Preparedness and Resilience) virtual organization was created, and we’re intent on building a community focused on pandemic preparedness and resilience. As we work to maximize the collaborative synergies of the outstanding research completed through the NSF RAPID grant program, we’re excited to offer you this opportunity to present your work, learn from your colleagues, and seek collaborative opportunities at RP2: PREPARE 2nd Annual RAPID PI Meeting.
The focus of the SBEG workshop is on understanding new issues in social, behavioral, economic, and governance that have arisen from the pandemic and that can be addressed by novel datasets and computing tools. We have four planned sessions: misinformation, equity, governance, and behavioral models. Join us via livestream on our YouTube channel!
The goal of the workshop is to bring together the pandemic research community, discuss the challenges and opportunities associated with access, creation, and maintenance of data and computing resources for pandemic research, and foster collaborations for future research. The workshop will feature speakers from academia, industry, and government to share their perspectives as data providers, data consumers (domain researchers, health agencies/operations), and data researchers (infrastructure, privacy, security, and ethics).
Our first workshop was a great success, thanks to the enthusiastic participation of researchers from around the US. View our Summary Report to learn more!
Watch Sir Roy Anderson deliver our keynote address on our YouTube channel: Where do people acquire SARS-CoV-2 infection and the challenges in creating herd immunity by mass vaccination