Northeast Big Data Hub Newsletter | January 29, 2021
  • February's COVID-19 Research Lightning Talks - February 10
  • Northeast Student Data Corps: Inaugural Data Science Career Panel - February 19
  • Global Connected Healthcare Cybersecurity Risks and Roadmap Workshop - February 24
  • Data Boot Camp Series - January-March
  • Women in Data Science Worldwide Conference - March 8
  • New Jersey Institute of Technology's Institute for Data Science Spring 2021 Seminar Series - January-April
  • COVID Information Commons Student Paper Challenge
  • Leadership-Class Computing Facility Application
  • Instructional Faculty Position in Data Science
  • Launch of the Data Science Resource Repository
  • Success Story: Data Visualization beyond the Screen
  • Success Story: Widening Public Access to Data
  • January CIC Community Webinar Recap


February COVID Information Commons Community Webinar:
Lightning Talks and Q&A

Date: February 10, 2021, 3:00 - 4:00 PM ET. Click here to learn more and register.

Join us for our next round of lightning talks and Q&A on Wednesday, February 10, 3:00 - 4:00 pm ET. Learn more about these researchers' ongoing efforts in the fight against COVID-19, including opportunities for collaboration. 

Featured Speakers:

Naomi Senehi, Rice University: RAPID: Molecular Imprinting of Coronavirus Attachment Factors to Enhance Disinfection by a Selective Photocatalytic "Trap-and-Zap" Approach. Funded by NSF Engineering / Division of Chemical, Bioengineering, Environmental & Transport Systems.

Kartik Kaushik, University of Maryland, College Park: RAPID: Combining Big Data in Transportation with Hospital Health Data to Build Realistic "Flattening the Curves" Models during the COVID-19 Outbreak. Funded by NSF Engineering / Division of Civil, Mechanical and Manufacturing Innovation.

Nicola Sochacka, University of Georgia: RAPID: Using SenseMaker to Investigate Complex Dynamics in Social Systems to Inform Agile, Real-Time Policy-Responses in Times of Crisis. Funded by NSF Engineering / Engineering Education and Centers.

Timothy Oladunni, University of the District of Columbia: RAPID: Collaborative Research: VAPOC: Visualization, Analysis and Prediction of COVID-19. Funded by NSF Computer and Information Sciences and Engineering / Division of Computer and Network Systems.

Gregory Bowman, Washington University in St. Louis: RAPID: Folding@home and COVID-19. Funded by NSF Biological Sciences / Division of Biological Infrastructure.

Mike Kinzel and Kareem Ahmed, University of Central Florida: RAPID: Fluid Dynamic Driving Mechanisms of Airborne Pathogen Transmission and Control. Funded by NSF Engineering / Division of Chemical, Bioengineering, Environmental & Transport Systems.

Paul Westerhoff, Arizona State University: RAPID: Disinfection and Reuse of Health-Care Worker Facial Masks to Prevent Infection coronavirus disease. Funded by NSF Engineering / Division of Chemical, Bioengineering, Environmental & Transport Systems.


Thank you to all of the participants and speakers who attended the January 2021 CIC Community webinar! Read a full recap of the event here, and watch recordings of the webinar and individual lightning talks on the CIC website.

If you would like to present your research at a future CIC community event, please contact the project team.

Northeast Student Data Corps: Inaugural Data Science Career Panel

Date: Friday, February 19, 2021 3-4 pm ET 
Click here to learn more and register

Do you like to solve problems, but wish you knew how data could help you? Are you thinking about pursuing data science but don’t know where to start? Learn more about why you should leverage data science for good. Newly launched by our Northeast Student Data Corps, the Data Science Career Panel webinar series features experts from academia, government, industry, and nonprofits who share their experiences learning and using data science. These virtual events aim to highlight the wide range of educational opportunities and career paths available in data science and data analytics.

The NSDC Outreach Committee has done an incredible job helping to identify and secure our inaugural panel speakers and are just thrilled at the line-up for this first panel and hope you will be as excited as we are to share this event broadly with your networks and communities.

Global Connected Healthcare Cybersecurity Risks and Roadmap Workshop

Date: February 24, 2021, 11:00am–2:00pm ET

The Global Connected Healthcare Cybersecurity Virtual 2021 Workshop Series is presented by the IEEE SA , IEEE/UL P2933™ Standards Working Group, and the Northeast Big Data Innovation Hub headquartered at Columbia University. We will convene a community of leaders in healthcare, technology, and policy to develop mutual understanding and recommendations to address the risks in connected healthcare cybersecurity, and envision a roadmap for standards and actions to improve connected healthcare cybersecurity. 

This first 2021 virtual workshop in the Global Connected Healthcare Cybersecurity workshop series will set the tone for the series, identifying security, safety and privacy risks in connected healthcare and clinical IoT, and considering the potential technology and policy roadmap to mitigate these risks. Learnings will include:
  • Understanding security, safety, privacy, ethics and trust risks in connected healthcare 

  • Advanced technologies which may be leveraged to address the risks, such as artificial intelligence, machine learning, and hardware/firmware/software security advances

  • Technology and policy considerations for connected healthcare cybersecurity risk mitigation

  • Software and Hardware Supply Chain Security, and proactive risk mitigation integration that organizations can utilize to better protect themselves in light of events like SolarWinds

Visit the event page to keep updated with upcoming registration details.

Data Boot Camp Series

The RIPL Data Boot Camp Series is a free webinar series which is open to anyone. It features five sessions from the 2020 Research Institute for Public Libraries (RIPL) event held December 14-16, 2020, remade into 90-minute live webinars and 60-minute follow-up recorded lessons for those who want to dive deeper into the topics. 

These will NOT be webinars where you listen to a talking head the whole time; instead, please come ready to participate in a variety of interactive learning activities, some of which will occur in small groups in breakout rooms.

View the full schedule here to learn more about each webinar and register:

January 27 (1:00-2:30 ET/10:00-11:30 PT): Observations: Data Hiding in Plain Sight

February 2 (1:00-2:30 ET/10:00-11:30 PT): Can You Hear Me Now? Communicating Data to Stakeholders

February 23 (1:00-2:30 ET/10:00-11:30 PT): Nothing for Us, Without Us: Getting Started with Culturally Responsive Evaluation

March 2 (2:00-3:30 ET/11:00-12:30 PT): Meaningful Metrics for Your Organization

March 16 (2:00-3:30 ET/11:00-12:30 PT): Evaluation + Culture = Change

All webinars will be recorded

Women in Data Science Worldwide Conference

You are invited to register now for the inaugural 24-hour virtual  Women in Data Science Worldwide conference on March 8, International Women’s Day. Women in Data Science (WiDS)  will follow the sun bringing you speakers and sessions from around the world. All are welcome and discounts are available for students, PostDocs, academia (faculty & staff), non-profits, and government. Early bird registration ends February 5.
You can also take the WiDS Datathon challenge, happening now through March 1, focused on models to determine whether a patient admitted to an Intensive Care Unit (ICU) has been diagnosed with a particular type of diabetes. A global #WiDSDatathon webinar will be hosted January 29th at 8 AM PST / 10 AM CST / 11 AM EST. RSVP at
New Jersey Institute of Technology's Institute for Data Science Spring 2021 Seminar Series
New Jersey Institute of Technology's Institute for Data Science invites you to their Spring 2021 seminar series, held Wednesdays at 4 PM Eastern Time. The series includes data science thought leaders from academia and industry.

Jeannette M Wing, Principal Investigator for the Northeast Big Data Hub will be presenting on February 10. The schedule of events and speakers is as follows:
January 27 - Steven Skiena, Stony Brook University
February 3 - Tanya Berger-Wolf, The Ohio State University
February 10 - Jeannette M Wing, Columbia University
February 17 - Prashant Reddy, J.P. Morgan AI Research
February 24 - Deja D. Bond, elovee
March 3 - Vipin Kumar, University of Minnesota
March 10 - Cynthia Rudin, Duke University
March 24 - Michael H. Merrill, Department of Defense 
March 31 - Danai Koutra, University of Michigan
April 7 - Charles Leiserson, Massachusetts Institute of Technology
April 14 - Aydin Buluc, Lawrence Berkeley National Lab
University of California, Berkeley
April 21 - Tina Eliassi-Rad, Northeastern University
April 28 - Joseph JaJa, University of Maryland
You can find out more information about the series here.
Follow the series on Eventbrite here
Subscribe to the YouTube channel here


COVID Information Commons
Undergraduate Student Paper Challenge


We invite you to participate in and spread the word about the newly announced COVID Information Commons Student Paper Challenge. We are looking for students to participate, as well as researchers who can be mentors and judges. 

The COVID Information Commons (CIC) is an NSF-funded research collaboration and knowledge hub designed to facilitate knowledge sharing and collaboration across various COVID research efforts. The CIC Student Paper Challenge is an opportunity for undergraduate students to leverage the CIC NSF Award search tools and the global COVID-19 resources the CIC offers to learn how the scientific research community is working to address the widespread impacts of the pandemic and offer their own insights on the next steps for COVID-19 research.

For full details about the Challenge and how students can get started, please visit the CIC Student Paper Challenge webpage. Undergraduate students of all backgrounds and interests are encouraged to participate in this Challenge. Winning papers will be published on the CIC website and shared widely through our network, and authors will have the opportunity to present their insights at a future CIC community event.

In addition to sharing this Challenge with undergraduate students who might be interested, we invite you and your colleagues to share your COVID-19 research expertise as a mentor and/or judge. Mentors will hold virtual sessions in January, February, and March to coach students on their paper ideas. Judges will review submissions in April. Please visit the Challenge webpage for more information and to access the participation forms for students and judges/mentors.

We hope you will join us in this exciting effort to inspire the next generation of researchers. If you have any questions, please feel free to contact


Leadership-Class Computing Facility Application

As part of a broad portfolio of advanced computing resources, NSF is supporting the planning and design of a future Leadership-Class Computing Facility (LCCF). The LCCF will be a follow-on to the Frontera supercomputer, which is located at the University of Texas at Austin's Texas Advanced Computing Center and provides unique computational and data analytics services enabling the largest and most computationally-intensive Science & Engineering (S&E) research frontiers today. NSF envisions the LCCF to be an innovative community resource for all S&E research that will spur new modalities of discoveries through computing and data analytics at the largest scale, which will in turn enhance our nation's economic competitiveness and security. 

The submission deadline is February 26, 2021. Learn more here.

Goergen Institute for Data Science at the University of Rochester: Instructional Faculty Position in Data Science
Spring 2021


Launch of the Data Science Resource Repository

The Northeast Big Data Innovation Hub has just launched the Data Science Resource Repository (DSRR). The DSRR provides a curated open set of resources for learners and educators to enable data science literacy, a very important tool in the future of our economy and a strong base for workforce development. The DSRR is openly available on the Northeast Hub website, to enable leverage of these best practices and resources to more broadly increase data science capacity, with a specific focus on underserved communities. Learn more here.

Success Story: Data Visualization Beyond the Screen

“We’ve all been acutely aware of screens lately; we cannot seem to escape them. As statisticians and data scientists, we’re stereotypically buried in our spreadsheets and charts anyway, but who do we exclude when communicating with data on a screen, and how do we think beyond the typical data visualizations we’re used to *seeing*?”

Read more about how Dr. Sara Stoudt and her students at Smith College are thinking about how to make data visualizations more accessible through the use of different senses here. You can also read more success stories here.

Success Story: Widening Public Access to Data
The Norman B. Leventhal Map and Education Center (LMEC), a recipient of a Seed Fund Grant from the Northeast Big Data Innovation Hub, is working on a project “to provide broader—and better—access to digital geographic information” for the entire community. Their goal incorporates important considerations regarding the accessibility and usability of data sets for non expert users and places an emphasis on human readability.

Learn more about how the team at LMEC is building technical solutions to widen access to data as well as their institutional support and educational programs for the public at their blog here.
January CIC Community Webinar Recap

Thank you to all of the participants and speakers who attended the January CIC Community webinar! The webinar included talks from seven NSF PIs as well as an announcement of the new CIC Student Paper Challenge, an opportunity for students to learn about and contribute their unique insights about COVID-19 research.
Check out the January webinar!
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Thank you, and be well — Katie Naum, Operations Manager
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