2020 Responsible Machine Learning Summit: AI and COVID-19
Florence Hudson, Executive Director, Northeast Big Data Innovation Hub at Columbia University
The COVID Information Commons
Abstract: The COVID Information Commons (CIC) ( https://covidinfocommons.net/ ) is an open website to facilitate knowledge sharing and collaboration across COVID research efforts. The initial focus of the CIC website is on NSF-funded COVID Rapid Response Research (RAPID) projects. The CIC serves as a resource for researchers, students and decision-makers from academia, government, not-for-profits 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.
The CIC provides multiple search mechanisms to access customized views of the NSF COVID awards database. Contextual and keyword searches provide researchers and students the opportunity to identify research relevant to their work, and potential collaborators . The COVID Research Explorer Machine Learning tool clusters awards in topographical and polygonal tree maps with keyword labels. Each NSF award represented has a drill-down capability to identify the award number, institution, Principal Investigator (PI) name and email, state, award amount, abstract, and other available information. Enhancements to the CIC are being developed to include information provided by the COVID RAPID PIs to provide valuable context, shared learnings and research outcomes to enhance collaboration.
The COVID Information Commons is funded by the NSF Convergence Accelerator, COVID RAPID Award #2028999. The CIC was developed as a collaborative proposal led by the Northeast Big Data Innovation Hub hosted by Columbia University, in collaboration with the Midwest Big Data Innovation Hub, South Big Data Innovation Hub, and West Big Data Innovation Hub. The award commenced in May 2020 and the COVID Information Commons was launched in July 2020.
We will share views of using the COVID Information Commons, and seek input on potential opportunities to enhance its value to the community.
Biography: Florence Hudson is Executive Director for the Northeast Big Data Innovation Hub at Columbia University. She is also Founder & CEO of FDHint, LLC, a global advanced technology and diversity & inclusion consulting firm, and Special Advisor for the NSF Cybersecurity Center of Excellence at Indiana University. She is a former IBM Vice President and Chief Technology Officer, Internet2 Senior Vice President and Chief Innovation Officer, and aerospace engineer at Grumman and NASA. She Chairs the global IEEE/UL P2933 Working Group on Clinical IoT Data and Device Interoperability with TIPPSS – Trust, Identity, Privacy, Protection, Safety and Security, and has published books on TIPPSS. She serves on Boards at Princeton University, Cal Poly San Luis Obispo, Stony Brook University, Blockchain in Healthcare Today, and the IEEE Engineering in Medicine and Biology Society. She is a founding member of the Program Committee for the NCI Computational Approaches for Cancer Workshop. She has a BSE in Mechanical and Aerospace Engineering from Princeton University, and executive business education from Harvard Business School and Columbia University.