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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 […]

CUAHSI has been selected to be the Coordinating Hub for ...


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 […]

Water Data and Software Services to Support Discovery, Reproducibility, and ...





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: Debra Laefer, New York 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.

5 Questions with COVID Researchers: Amy Pickering, Tufts University








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 […]

Data-driven workshops help teachers understand and engage with students



Guest post by Chase Wu, Associate Chair of and Professor in the Department of Computer Science at NJIT. Research Background Model-based simulations have become an essential component in next-generation scientific applications and are generating big data on the order of terabyte at present and petabyte or exabyte in the predictable […]

Using machine learning to optimize big data workflows for collaborative ...


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 […]

Massive online open course teaches machine learning and data mining ...


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 […]

ASSISTments Longitudinal Data Competition challenges participants to determine correlation between ...









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 […]

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




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 […]

From Our Community: Differential Privacy Symposium, November 12




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 […]

White House Releases Big Data Strategic Plan