Northeast Big Data Innovation Hub Seed Fund – About & Awards – Old


The Northeast Big Data Innovation Hub Seed Fund program is designed to promote collaboration and support the development and cross-pollination of tools, data, and ideas, leveraging data science innovations, across disciplines and sectors including academia, nonprofits, industry, government, and communities. Funding provided through this program is intended to support the northeast region and align with the Major Goals and Focus Areas of the Northeast Big Data Hub.

The Northeast Big Data Innovation Hub is no longer accepting applications for our 2021 Seed Fund Program.

2021 Seed Fund Recipients

2020 Seed Fund Recipients


2021 Seed Fund Recipients

In 2021, which is the second year of the Northeast Big Data Innovation Hub Seed Fund program, 7 seed fund awards were granted from the 32 proposals received.

  • Most popular focus areas were Education + Data Literacy and Health
  • 30 of the proposals were from academic institutions and 2 were from non-profits.
  • 6 of the seed fund grants were awarded to academic institutions and 1 to a non-profit.

See below the seed fund awards by their project focus areas.

Education + Data Literacy

All Aboard – Developing Protocols for Accessible AI Education

Primary Focus Area: Education + Data Literacy

Secondary Focus Area: Responsible Data Science

Lead PI: Julia Stoyanovich (New York University)

Project Website: https://dataresponsibly.github.io/we-are-ai/

Expanding the Reach of DataJam: Introducing High School Data Science to More Diverse Youth, Communities and Regions

Primary Focus Area: Education + Data Literacy

Secondary Focus Area: Urban to Rural Communities

Lead PI: Judy Cameron (Pittsburgh Data Works)

Project Website: Pghdataworks.org

Teaching Responsible Data Science through Cybersecurity Analytics

Primary Focus Area: Education + Data Literacy

Secondary Focus Area: Responsible Data Science

Lead PI: Shanchieh (Jay) Yang (Rochester Institute of Technology)

PI Website: https://www.linkedin.com/in/shanchieh-jay-yang-26327015/

Health

Primary Focus Area: Health

Secondary Focus Area: Education + Data Literacy

Lead PI: Chirag J Patel (Harvard Medical School)

PI Website: https://www.chiragjpgroup.org/

Collaborators: Ming Kei Chung (Harvard Medical School)

Exploring Pathogenic Common Variants of Autism Spectrum Disorder Through Deep Learning

Primary Focus Area: Health

Lead PI: Haishuai Wang (Fairfield University)

​Home-Bias as A Double-Edged Sword? Existence and Influence of Patients’ Preference for Local Physicians on Virtual Health Platforms

Primary Focus Area: Health

Secondary Focus Area: Urban to Rural Communities

Lead PI: Shuting (Ada) Wang (Baruch College, City University of New York)

PI Website: https://zicklin.baruch.cuny.edu/faculty-profile/shuting-wang/

Responsible Data Science

Improving Data Integrity Awareness in HPC Datasets using Sparsity Profiles

Primary Focus Area: Responsible Data Science

Lead PI: Seung Woo Son (University of Massachusetts Lowell)

PI Website: https://sites.uml.edu/seungwoo-son/


2020 Seed Fund Recipients

After two rounds of applications and evaluations the hub awarded 19 seed fund grants out of 40 proposals in 2020.

  • Most popular focus areas were Health, and Education + Data Literacy
  • 36 of the proposals were from academic institutions and 4 were from non-profits.
  • 18 of the seed fund grants were awarded to academic institutions and 1 to a non-profit.

See below the seed fund awards by their project focus areas.

Responsible Data Science

Using Data Science to Study Environmental Racism, Justice, and Policy

Lead PI: Aunshul Rege (Temple University)

Primary Focus Area: Responsible Data Science

Procurement Roundtables: Algorithmic Justice and Responsible AI

Lead PI: Mona Sloane, Ph.D. (New York University)
Collaborators: Rumman Chowdhury, Ph.D. (Parity), John C. Havens (IEEE)

Primary Focus Area: Responsible Data Science

Project Website: Evolving Procurement for Artificial Intelligence Systems in Cities and Beyond and Innovating AI Procurement

Success Story: How to Innovate AI Procurement?

Final Project DOI: AI and Procurement: A Primer


Urban to Rural Communities

Forecasting Salinity in Rivers during Storm Events

Lead PI: Laura Dietz (University of New Hampshire, Computer Science)
Collaborators: Adam Wymore (University of New Hampshire, Natural Resources and the Environment)

Primary Focus Area: Urban to Rural Communities

Project Website: Link

Location-based Citizen Science in Augmented Reality Image Categorization

Lead PI: Seth Cooper  (Northeastern University)
Collaborators: Sara Wylie (Northeastern University)

Primary Focus Area: Urban to Rural Communities

Project Website: Cartoscope


Education + Data Literacy

Curricular Structures to Blend Data Science & the Digital Humanities

Lead PI: Amanda K. Greene (Lehigh University)
Collaborators: Dominic DiFranzo (Lehigh University), Edward Whitley (Lehigh University) , Annie Laurie Nichols (Saint Vincent College), Lauren Churilla (Saint Vincent College),  Alice Goldfarb (Boston University), Belle Lipton (Norman B. Leventhal Map & Education Center), Catherine Nikolovski (CIVIC Software Foundation)

Primary Focus Area: Education + Data Literacy

Secondary Focus Area: Responsible Data Science

Data Literacy as an Enabler to Broaden the Participation Of Underrepresented Minorities in STEM Careers

Lead PI: Babak D. Beheshti (New York Institute of Technology)

Primary Focus Area: Education + Data Literacy

Building the Community to Address Data Integration of the Ecological Long Tail

Lead PI: Beverly Woolf (University of Massachusetts, Amherst)
Collaborators: Ivon Arroyo (University of Massachusetts, Amherst), Will Lee (University of Massachusetts, Amherst), Danielle Allessio (University of Massachusetts, Amherst)

Primary Focus Area: Education + Data Literacy

Development of a Data Analytics Learning Community

Lead PI: Cathie LeBlanc (Plymouth State University)
Collaborators: Daniel Lee (Plymouth State University), Rebecca Noel (Plymouth State University), Hyun Joong-Kim (Plymouth State University), Jonathan Couser (Plymouth State University)

Primary Focus Area: Education + Data Literacy

Project Website: Link

Success Story: Data Science in General Education

Building Tools and Training for Public & Educational Use of Geospatial Big Data

Lead PI: Garrett Dash Nelson (Leventhal Map & Education Center at the Boston Public Library)
Collaborators: Belle Lipton (Leventhal Map & Education Center at the Boston Public Library), Michelle LeBlanc (Leventhal Map & Education Center at the Boston Public Library)

Primary Focus Area: Education + Data Literacy

Project Website: Public Data Project, Leventhal Map & Education Center

Success Story: Building Tools and Training for Public & Educational Use of Geospatial Big Data

DEFLAB: Data Education and Feminism at Lafayette and Beyond

Lead PI: Trent Gaugler (Lafayette College)
Collaborators: Jason Simms (Lafayette College), Christopher Phillips (Lafayette College)

Primary Focus Area: Education + Data Literacy 

Success Story: DEFLAB: Data Education and Feminism at Lafayette and Beyond

Data Science Training and Research Program

Lead PI: Yusuf Danisman (Queensborough Community College)

Primary Focus Area: Education + Data Literacy

Success Story: Data Science Research and Training Program


Health

Nonlinear Dynamics and Machine Learning for Accurate Detection of Early-stage Atrial Fibrillation

Lead PI: Changqing Cheng (State University of New York at Binghamton)

Primary Focus Area: Health

Secondary Focus Area: Education and Data Literacy

Success Story: Nonlinear Dynamics and Machine Learning for Accurate Detection of Early-stage Atrial Fibrillation

Contacts patterns during the 2020 COVID-19 epidemic

Lead PI: Eli Fenichel (Yale University – School of the Environment)
Collaborators: Anna Gilbert (Yale University), Roy Lederman (Yale University)

Primary Focus Area: Health

Secondary Focus Area: Urban to Rural Communities

A landscape of virus-host protein-protein interactions in SARS-CoV-2 infection in humans by machine learning

Lead PI: Ho-Joon Lee, PhD (Yale University)
Collaborators: Prashant Emani, PhD (Yale University), Mark Gerstein, PhD (Yale University), Shrikant Mane, PhD (Yale University)

Primary Focus AreaHealth

Success Story: A landscape of virus-host protein-protein interactions in SARS-CoV-2 infection in humans by machine learning

COVID Information Commons Presentation: A landscape of virus-host protein-protein interactions in SARS-CoV-2 infection in humans by machine learning

A scalable computational pipeline to develop polygenic risk scores from biobank data

Lead PI: Hongyu Zhao (Yale School of Public Health)
Collaborators: Robert Bjornson (Yale University), Wei Jiang (Yale School of Public Health)

Primary Focus Area: Health

Project Website: Zhao Lab

Convolutional Neural Network Facilitated Functional Cortical Mapping using tEEG Signals

Lead PI: Kaushallya Adhikari (University of Rhode Island)

Primary Focus Area: Health

Success Story: Convolutional Neural Network Facilitated Functional Cortical Mapping using tEEG Signals

CritCOVIDView: A Critical Care Visualization Tool for COVID-19

Lead PI: Mohammad Al-Mamun, PhD. (The University of Rhode Island- College of Pharmacy)
Collaborators: Todd Brothers (The University of Rhode Island- College of Pharmacy)

Primary Focus Area: Health

Harnessing Data to Predict and Prevent Cancer Treatment Adverse Event through Artificial Intelligence

Lead PI: Robert Wieder (NJMS, Rutgers University)
Collaborators: Nabil Adam (Rutgers University)

Primary Focus Area: Health

Knowledge Graph Embedding Evolution for COVID-19

Lead PI: Steven Skiena (Stony Brook University, SUNY)
Collaborators: Baojian Zhou (Stony Brook University, SUNY)

Primary Focus Area: Health

COVID Information Commons Presentation: Knowledge Graph Embedding Evolution for COVID-19