nebigdatahub


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

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 […]


5 Questions with COVID Researchers: Debra Laefer, New York University

We tried to understand to what extent people coming from a COVID-19-infected environment interact with the built and natural environment. Specifically, we wanted to understand in three dimensions what people touched, how much they touched, and where they went coming out of hospitals and urgent care facilities at the peak of the COVID-19 outbreak.


5 Questions with COVID Researchers: Amy Pickering, Tufts University

The role of contaminated surfaces (fomites) in community transmission of SARS-CoV-2 has been debated. Our team is sampling high-touch public surfaces during the ongoing pandemic to improve understanding of the risk of SARS-CoV-2 infection when the public accesses essential businesses such as grocery stores, pharmacies, and gas stations.


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 […]


Special announcements from Executive Director René Bastón and Principal Investigator Jeannette Wing, regarding our Executive Director leadership transition:

Dear Northeast Hub Community, I hope that you are all doing well, despite our world being turned upside down by COVID-19, and that you and yours are healthy. I’m writing to let you know that I am stepping down as Executive Director of the Northeast Big Data Hub on April 16th. […]


Via NSF: Smart and Connected Communities (S&CC) Program Solicitation

The National Science Foundation (NSF) has published the Smart & Connected Communities (S&CC) program solicitation, spanning the Directorates for Computer and Information Science and Engineering (CISE); Education and Human Resources (EHR); Engineering (ENG); Geosciences (GEO); and Social, Behavioral and Economic Sciences (SBE). The goal of the S&CC program solicitation is […]


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 […]


From Our Community: Differential Privacy Symposium, November 12

A symposium on differential privacy will be held at Princeton University’s Institute for Advanced Study, next month. The event will bring together speakers including Helen Nissenbaum (Cornell Tech and NYU), Aaron Roth (University of Pennsylvania), Guy Rothblum (Weizmann Institute), Kunal Talwar (Google Brain), and Jonathan Ullman (Northeastern University). To learn more and register, please visit […]


White House Releases Big Data Strategic Plan

On May 23rd, the Obama Administration released the Federal Big Data Research and Development Strategic Plan, part of the Big Data Research and Development Initiative launched in 2012. As data science capabilities and opportunities continue to grow, the Plan provides a comprehensive overview and establishes guidance for developing and expanding […]