Northeast Big Data Hub Newsletter | October 9, 2020
  • COVID-19 Research Lightning Talks
  • Academic Data Science Alliance (ADSA) 2020 Data Science Leadership Summit
  • ADSA BoF: Diversity, Equity and Inclusion–the Path Forward in Data Science
  • CODATA International FAIR Convergence Symposium
  • Call for Abstracts: New York Academy of Sciences Natural Language, Dialog and Speech Symposium
  • Call for Participation: Urban to Rural Communities Working Group
  • IEEE Call for Papers: Special Issue on Intelligent Optimization Algorithms in Genomics and Precision Medicine
  • Let's Make It Count: National Census Data Competition for High School Students
  • Researchers from NYU Tandon Release 3-D Data Tracking Human Interactions Outside of Coronavirus Hotspots
  • New Collaborator Spotlight: CUAHSI
  • Cyberteam to Advance Research and Education in Eastern Regional Schools Program
  • Guest Post: Computer Science for All Workshop


October COVID Information Commons Community Lightning Talks and Q&A Webinar
Date: October 16, 2020, 12:00 - 1:00 PM ET
Join us for the second round of lightning talks and Q&As with researchers studying COVID-19. Learn more about their ongoing efforts in the fight against COVID-19, including opportunities for collaboration. Click here to learn more and register.

Featured Speakers:

Rachel Wu, University of California-Riverside: RAPID: Older adults’ learning and adaptation as resilience processes to counter social isolation during the COVID-19 pandemic

Sara Rampazzi, University of Michigan: RAPID: SaTC: COVID19: Science of using wirelessly powered sensors to quickly scale up verifiable decontamination of individual N95 respirator masks

Sarah Bowman, Hauptman-Woodward Medical Research Institute, University at Buffalo: RAPID Enhanced SARS-CoV-2 High-Throughput Crystallization for Structural Studies

Samantha Penta, University at Albany: RAPID: A Multi-Wave Study of Risk Perception, Information Seeking, and Protective Action in COVID-19

Murat Kantarcioglu, University of Texas at Dallas: RAPID: Collaborative: A Privacy Risk Assessment Framework for Person-Level Data Sharing During Pandemics

Ali Rahnavard, George Washington University: RAPID: A novel platform for data integration and deep learning on COVID-19

Jeff Grann, Credential Engine: RAPID: Increasing Healthcare Credential Open Data in Response to COVID-19

Praveen Rao, University of Missouri-Columbia: RAPID: Democratizing Genome Sequence Analysis for COVID-19 Using CloudLab
Thank you to all of the presenters and attendees who made the first CIC Community lightning talks and Q&A webinar a success! Click here to read a full recap of the event, and click here to watch the recording of the webinar - scroll down to "September COVID-19 Research Lightning Talks: Webinar and Q&A."
Academic Data Science Alliance (ADSA) 2020 Data Science Leadership Summit

Date: October 12-14, 2020

The goal of this Summit is to convene leaders of data science programs and faculty interested in creating new initiatives on their campuses. Tune in for an update from our Executive Director Florence Hudson on how the Northeast Hub-led COVID Information Commons has been serving as a platform for collaboration among researchers studying COVID-19. The Summit will be held virtually October 12-14. Click here to learn more and register.
ADSA BoF: Diversity, Equity and Inclusion–the Path Forward in Data Science

Date: October 16, 2020, 1:00 PM ET
ADSA has begun a concerted effort to increase awareness and make individual and combined efforts to address racism, lack of inclusivity, and pro-active outreach to build a diverse, equitable and inclusive data science community. Join this Birds of a Feather discussion, part of the 2020 ADSA Annual Meeting, to brainstorm together what steps we can take to improve diversity, equity and inclusion in participation in the data science community as well as the ethics of data science and its application to solving scientific and societal challenges today and into the future. Our Executive Director Florence Hudson and Principal Investigator Jeannette Wing will lead the discussion along with representatives from the Chan Zuckerberg Initiative and the Fred Hutchinson Cancer Research CenterClick here to learn more and register.
CODATA International FAIR Convergence Symposium

Date: November 30 - December 4, 2020

The International FAIR Convergence Symposium, organized by CODATA and GO FAIR, will convene a global community with an interest in combining data across domains to accelerate research on major global challenges, such as those relating to the Sustainable Development Goals or the COVID-19 pandemic. Outcomes will directly inform the CODATA Decadal Programme ‘Making data work for cross-domain grand challenges’ and the GO FAIR community’s convergence towards bottom-up development of the Internet of FAIR data and services globally. Participation is open to all researchers, data experts, funders, and science policy makers. The event will include 90-minute sessions in different formats, including paper sessions, workshops, interactive practical sessions, structured discussions, or demonstrations. The organizers invite proposals for posters and lightning talks to appear in a dedicated session. Proposals for posters and lightning talks are due on October 31, 2020. Click here to learn more and register.


The Northeast Big Data Innovation Hub is excited to put out a Call for Participation in a new Urban to Rural Communities Working Group. The working group will consist of a team of community members working in collaboration to determine how we might leverage data in new ways to address scientific and societal challenges of interest to the Northeast Big Data Hub community. We expect the working group would convene virtually on a monthly basis, with additional collaboration on specific projects as participant interest indicates.

Please visit our website to learn more about the working group and complete the form indicating your interest by Friday, October 16. The Hub will follow up with interested parties in the second half of October 2020 on next steps.
IEEE Call for Papers: Special Issue on Intelligent Optimization Algorithms in Genomics and Precision Medicine
Deadline: December 1, 2020


Researchers from NYU Tandon Release 3-D Data Tracking Human Interactions Outside of Coronavirus Hotspots
A team of 16 student researchers led by Debra Laefer, professor of civil and urban engineering at New York University Tandon School of Engineering, recorded the behavior of 6,075 subjects after leaving hospitals and urgent care clinics across New York City to identify surfaces most likely to carry the coronavirus. The study found that
  • 75% of individuals touched something after leaving the building
  • 11% touched their phone
  • 55% left the area by a form of mechanized transportation
  • 13% returned to the medical facility
  • 81% were wearing PPE
Click here to learn more about this project, and download the complete dataset from NYU’s Spatial Data Repository. Visit our website to read our August interview with Dr. Laefer.
NEBDIH New Collaborator Spotlight: CUAHSI
The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) located in Cambridge, MA, provides programs and services which support the advancement of interdisciplinary water science. CUAHSI’s membership consists of more than 130 institutions, including academic institutions, non-governmental organizations, and international institutions. CUAHSI’s services, available to all, provide opportunities for managing and accessing data, facilitating collaboration, and enabling reproducible research and workflows. CUAHSI was also recently selected as the Coordinating Hub for NSF's Critical Zone (CZ) Collaborative Network: click here to learn more about this project. 

As a Northeast Hub collaborator, CUAHSI’s work aligns with the Education and Data Literacy, Urban to Rural Communities, and Responsible Data Science Focus Areas. Click here to learn more about CUAHSI's services and opportunities.

To be featured as a collaborator of the Northeast Hub, reach out to us at
Cyberteam to Advance Research and Education in Eastern Regional Schools Program
The CAREERS (Cyberteam to Advance Research and Education in Eastern Regional Schools) Cyberteam Program is a 3-year initiative funded by the National Science Foundation to build a regional pool of Research Computing Facilitators (RCF) to support the high computing needs of researchers at small and midsized institutions in Connecticut, Delaware, New Jersey, New York, Pennsylvania and Rhode Island. Through an experiential training program through which participants work with a mentor and join the project team of a scientist working on a computationally intensive project, the program will help researchers move their projects forward while giving student facilitators a real world experience in research computing facilitation. Click here to read more about the program, and create an account on the CAREERS Cyberteam portal if you are interested in participating as a researcher, student facilitator, or mentor.
Guest Post: Computer Science for All Workshop

The mission of the Northeast Big Data Innovation Hub's DS4All initiative is to identify knowledge and resource gaps in data literacy among diverse communities, with the goal of helping lifelong learners of all ages become data literate. Earlier this year, the DS4All team held a workshop at Cornell Tech which convened 40+ data science experts, practitioners, educators, and researchers to identify successes, challenges, and solutions to improve the use of data science in schools and resolve inequities in tech education. Click here to read a guest post from DS4All's Catherine Cramer about the outcomes of this workshop and the next steps for the DS4All initiative.
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Thank you, and be well — Katie Naum, Operations Manager
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