Success Stories
Forecasting Salinity in Rivers during Storm Events
Guest post by Laura Dietz, University of New Hampshire This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. Every winter, vast amounts of road salts are scattered onto streets across the northeastern U.S.. While important for our safety, ice-melt […]
Pala Students Win ‘Best New Team’ Award at 2022 DataJam
Supercomputers can complete tasks so impressive that they have outpaced science fiction movies. However, they do more than that, they can provide inspiration to the next generation of scientists. One supercomputing center inspiring youth is the San Diego Supercomputer Center, or SDSC, at the University of California San Diego, which provides […]
Curricular Structures to Blend Data Science & the Digital Humanities
Guest post by Amanda Greene, Lehigh University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The goal of this project was to develop pedagogical resources that integrate humanist perspectives, ethics, and data science by supporting a collaborative working […]
Using Data Science To Study Environmental Racism, Justice, And Policy
Guest post by Aunshul Rege, Temple University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. This project examined environmental injustice using a qualitative criminological lens. The project surveyed known case studies of environmental injustice in the United States […]
Knowledge Graph Embedding Evolution for COVID-19
Guest post by Steven Skiena, Stony Brook University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. Steven Skiena and Xingzhi Guo presented this research to the COVID Information Commons (CIC) community as part of the February 2022 Lightning […]
CritCOVIDView: A Critical Care Visualization Tool for COVID-19
Guest post by Todd Brothers, University of Rhode Island This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The main goal of this project was to develop a cutting-edge tool, CritCOVIDView, for bedside clinicians interpreting individualized patient data through […]
Data Literacy as an Enabler to Broaden the Participation Of Underrepresented Minorities in STEM Careers
Guest post by Babak D. Beheshti, New York Institute of Technology This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The objective of this project was to expand data literacy and broaden the participation of underrepresented minorities and women […]
Location-based citizen science in augmented reality image categorization
Guest post by Seth Cooper, Northeastern University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The main goal of this project was to integrate location-based images into an augmented reality (AR) citizen science game toolkit by interfacing with […]
A scalable computational pipeline to develop polygenic risk scores from biobank data
Guest post by Hongyu Zhao, Yale School of Public Health, Yale University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The goal of this project was to address the computational and implementation issues by developing a unified and […]
Contact patterns during the 2020 COVID-19 epidemic
Guest post by Eli Fenichel, Yale University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The goal of the project was to bring together mathematics, data science, economic epidemiology, and public health, contributing to all fields by analyzing […]
Harnessing Data to Predict and Prevent Cancer Treatment Adverse Events through Artificial Intelligence
Guest post by Robert Wieder, Rutgers New Jersey Medical School This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The goal of the project was to conduct an in-depth large-scale study of the comprehensive 1991-2016 Surveillance, Epidemiology, and End […]
Convolutional Neural Network Facilitated Functional Cortical Mapping using tEEG Signals
Guest post by Kaushallya Adhikari, University of Rhode Island This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The goal for the project was to perform functional cortical mapping using tripolar electroencephalography (tEEG) and EEG data with convolutional neural […]
A landscape of virus-host protein-protein interactions in SARS-CoV-2 infection in humans by machine learning
Guest post by Ho-Joon Lee, Ph.D., Yale School of Medicine This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. COVID Information Commons Presentation: A landscape of virus-host protein-protein interactions in SARS-CoV-2 infection in humans by machine learning Our goal […]
DEFLAB: Data Education and Feminism at Lafayette and Beyond
Guest post by Trent Gaugler, Lafayette College This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The goals of this Seed Fund project were to introduce students to the fundamentals of data science through socially relevant projects, to enhance […]
Building Tools and Training for Public & Educational Use of Geospatial Big Data
Guest post by Garrett Dash Nelson, Norman B. Leventhal Map and Education Center at Boston Public Library This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The primary goal of this Seed Fund project was to create a gateway […]
Data Science Research and Training Program
Guest post by Yusuf Danisman, Queensborough Community College, City University of New York (CUNY) This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The aim of this Seed Fund project was to Improve programming and data science skills of […]
Nonlinear Dynamics and Machine Learning for Accurate Detection of Early-stage Atrial Fibrillation
Guest post by Changqing Cheng, Ph.D., Binghamton University, State University of New York This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. The overarching goal of this Seed Fund project was to develop an integrated platform to integrate nonlinear […]
Data Science in General Education
Guest post by Cathie LeBlanc, Ph.D., Plymouth State University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. Plymouth State University has a history of active faculty learning communities focused on various aspects of teaching. Our latest learning community, funded […]
How to Innovate AI Procurement?
Guest post by Mona Sloane, Ph.D., New York University This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2020 Seed Fund program. Artificial intelligence (AI) systems are increasingly deployed in the public sector. As these technologies can harm citizens and pose risk to […]
Data Visualization Beyond the Screen
Guest post by Dr. Sara Stoudt, Lecturer in Statistical and Data Sciences Program, Smith College 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 […]
Researchers from NYU Tandon release 3-D data tracking human interactions outside of coronavirus hotspots
Study to set groundwork to build machine learning models that rapidly analyze how a virus spreads In April when New York City was under a strict lockdown, a team of 16 student researchers from New York University’s Tandon School of Engineering commenced a National Science Foundation Rapid Response Research (RAPID) […]
DS4All Workshop: Computer Science for All
Guest post by Catherine Cramer, Founder and Principal, Woods Hole Institute. The Northeast Big Data Innovation Hub supports the work of DS4All and has done so since 2015. While there are several different strands to this work, the focus on data science in K-12 education continues to be prominent. The […]
CUAHSI has been selected to be the Coordinating Hub for the Critical Zone (CZ) Collaborative Network
Guest post by Jerad Bales, Executive Director, CUAHSI The Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) located in Cambridge, MA, has been selected to be the Coordinating Hub for the National Science Foundation’s Critical Zone (CZ) Collaborative Network. The 5-year cooperative agreement became effective September 1, 2020. The […]
Water Data and Software Services to Support Discovery, Reproducibility, and Collaboration in the Water-Resources Domain and Beyond
Guest post by Emily Clark, Project Manager, CUAHSI The mission of the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI) is to enable interdisciplinary collaboration in the water sciences, provide critical cyberinfrastructure, and promote water science education at all levels. CUAHSI’s services can be especially useful in […]
Data-driven workshops help teachers understand and engage with students
Guest post by Ivon Arroyo, Associate Professor in the College of Education and the College of Computer Science at the University of Massachusetts Amherst. The Big Data for Education Spoke’s professional development workshops have empowered teachers to leverage data to identify and answer a variety of pedagogical questions about their […]
Massive online open course teaches machine learning and data mining for education research
Guest post by Ryan Baker, Associate Professor in the Graduate School of Education at the University of Pennsylvania. The Northeast Big Data for Education Spoke has conducted considerable outreach on methods for data science for educational data sets. Workshops have been conducted in New York City, Buffalo, Philadelphia, Pittsburgh, and […]
ASSISTments Longitudinal Data Competition challenges participants to determine correlation between early mathematics education and STEM careers
Guest post by Ryan Baker, Associate Professor in the Graduate School of Education at the University of Pennsylvania. The ASSISTments Longitudinal Data Competition invited data scientists around the world to participate in a competition around the analysis of student data. Data from middle school student use of a popular online […]
Data Science for All: NE Hub workshop explores teaching data science to high schoolers
Data science is expanding rapidly in undergraduate education, but at the K-12 level, few schools have integrated this critical subject into their curricula. Many questions must be answered first: how should data science be taught to high schoolers? As a standalone course, or integrated throughout other courses? What level of […]
Largest-ever cohort of U.S. twins fuels new BD Spoke study
Studying the causes of disease is essential to medical research. However, the discussion is sometimes framed, misleadingly, as ‘nature vs. nurture’—is your condition the result of your genetics or your environment? Generally, the answer is both. But to what degree? A new study in Nature Genetics explores this question for […]
Funding Awarded for First Round of NEBDIH-Sponsored Big Data Workshops
As part of our mission to address high-priority challenges with data-driven solutions, the Northeast Big Data Innovation Hub put out a call for workshop proposals this spring. We sought to support community-driven workshops that are designed to plan and develop Big Data projects, and are delighted to announce our first […]
Over 260 Join the Northeast Big Data Innovation Hub’s 2018 Summit
Did you participate in our 2018 Summit? Share your thoughts with us here on what you liked, and what you’d like to see in future. Thank you to everyone who made our 2018 Annual Summit a success! Every year, we bring our growing community together for a day of expert […]
UMass Amherst, WPI, Penn announce winners of Northeast big data competition
Winning Schemes for Predicting Student Interest in Science UMass Amherst, WPI, Penn announce winners of Northeast big data competition AMHERST, Mass. – After a year-long, global data-mining competition, organizers today awarded the top three winning teams from Hong Kong, Japan and Michigan at the National Science Foundation’s (NSF) Northeast Big […]
Common Ground: Big Data Best Practices from BDVA Workshop
In November 2017, the NSF Big Data Innovation Hubs held a workshop in conjunction with the European Big Data Value Forum 2017, and in collaboration with the EU Big Data Value Association (BDVA), PICASSO Project, and INRIA. The workshop brought together academic and industry actors from the US and the EU […]
Talking Big Data Literacy in “Data Divide” series
With data touching all aspects of our lives today, how can we look beyond traditional approaches to data science education to build capacity as broadly and inclusively as possible? Leaders in data science education discussed “Alternative Avenues for Development of Data Science Education Capacity” on Friday, September 22nd, in a […]
First Steps toward Big Data Literacy Framework at Spring Workshop
Guest post by Catherine Cramer, NYSCI Increasingly, the prosperity, innovation and security of individuals and communities depend on a big data-literate society, which calls for a concerted effort to define what it means to be a big data literate citizen, information worker, researcher, or policymaker. As a step toward that […]
Big Data in Education: News and Competition
How can big data help predict student outcomes? Ryan Baker (U Penn) and Neil Heffernan (Worcester Polytechnic Institute) of our Big Data for Education Spoke hope to do just that via the Longitudinal Educational Big Data Competition. Using carefully de-identified, real-world educational data, participants will predict whether 172 students in validation and […]
“Enabling Seamless Data Sharing in Industry and Academia” Workshop Report Released
Click here to access the report Data sharing challenges are extensive in cases involving industry and academia, and highlight the need for sharable, adaptable solutions. To that end, a report summarizing the proceedings and outputs of 2016’s Northeast Hub workshop on Data Sharing has recently been published. The workshop convened data science practitioners to […]
Telling a Story with Data: Young Innovator Kenneth Graves
This post highlights one of the up-and-coming data science graduate students who participated in the Northeast Big Data Innovation Hub’s “Young Innovators” program this year. This program and others like it contribute to the Northeast Hub’s mission to build public-private partnerships to address high-priority societal challenges with data-driven solutions. The […]
DIMACS Receives Planning Grant as Part of NEBDIH Privacy & Security Activities
The Center for Discrete Mathematic and Theoretical Computer Science (DIMACS) at Rutgers University recently announced details of the planning grant it received from the National Science Foundation as part of the Big Data Hubs program. One of four planning grants (along with three full awards) issued to Northeast Big Data […]
NEBDIH Data Sharing Workshop a Success: “I wish I could have gone to this workshop two years ago!”
On September 29th and 30th, stakeholders from across the Northeast and beyond joined the Hub at Drexel University in Philadelphia for “Enabling Seamless Data Sharing in Industry and Academia,” a cross-sector workshop put on by our community to tackle the challenges of sharing data head-on. In short “TED talk”-style presentations and […]
