The objective of this focus area is to work with the community to guide the development and dissemination of data science approaches and resources for education across the community, from PreK-12 to higher education and industry, with the goal to improve data literacy and educational outcomes. This includes:
1. Amplifying the success and reach of data science education and data literacy activities, from virtual and in-person workshops to Massive Open Online Courses (MOOCs), to empower educators and researchers to improve data science practices and reach a broad community
2. Enabling community and educational institutions across the region to deliver data science education to underserved constituencies, extending the success of the Data Science for All workshops, and perhaps adding domain-specific data science and data carpentry workshops
3. Increasing community collaboration to leverage the Big Data for Education spoke best practices, including innovations in intelligent tutor pedagogy, and collaborative analyses of Big Data for Education MOOC data
Current Projects
NSF BD Spoke Award: Grand Challenges for Data-Driven Education
Building Capacity with the Carpentries – coming soon!
Data Science Resource Repository
Success Stories
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 with data on a screen, […]
2021 Kicks off with New Insights by COVID-19 Researchers and the Undergraduate Student Paper Challenge
On Wednesday, January 13, 2021, seven scientists from across the nation joined us as part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons. During the event, each researcher shared their work, providing new insights regarding the global pandemic and revealed some of the unexpected implications brought on by the novel […]
COVID-19 researchers share insights at the November COVID Information Commons webinar.
This month’s Covid Information Commons (CIC) webinar brought together researchers, students and leaders in nonprofits. The CIC serves as a platform for researchers and scientists to share knowledge and collaborate on research about COVID. This month, the CIC project team announced the launch of a new feature at covidinfocommons.net: the NSF COVID Awards & PI […]
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) grant-funded project to observe potential […]
Researchers studying COVID-19 share insights at first COVID Information Commons Community webinar
“Your site and the ability to come together is marvelous. I thank you especially for thinking about this and bringing us together. People will be able to use your site as a proper, safe, true information source.”
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 most recent effort was a […]
Cyberteam to Advance Research and Education in Eastern Regional Schools Program
The CAREERS Cyberteam Program is a 3-year initiative to build a regional pool of Research Computing Facilitators to support researchers at small and midsized institutions…
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 Critical Zone is Earth’s living […]
Water Data and Software Services to Support Discovery, Reproducibility, and Collaboration in the Water-Resources Domain and Beyond
CUAHSI’s Compute Services enable education and research in the cloud. In addition to tools that enable data discovery and publication, CUAHSI develops and maintains cloud software to interoperate with CUAHSI’s data repositories to provide analysis, publication, and replication of scientific models and workflows. CUAHSI JupyterHub CUAHSI JupyterHub is a cloud service that allows users to execute […]
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 students, including: How much does […]
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 Boston and include both tutorials […]
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 learning platform for mathematics was […]
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 rigor is appropriate for younger […]
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 round of workshop awards! […]
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 Data Spoke meeting on […]
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 panel convened by the South […]
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 goal, the New York Hall […]
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 test sets pursue a career […]
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 Northeast Hub gratefully acknowledges the […]
Northeast Big Data Innovation Hub Awarded $3.3 million to Create Solutions to Pressing Challenges in Health, Education and Data Sharing
Click here for a PDF version of this release. Click here for the press release from the National Science Foundation (NSF). The National Science Foundation (NSF) has announced $3.3 million in grants to researchers affiliated with the Northeast Big Data Innovation Hub. A common theme underlying the projects below is the need to address both […]