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 […]
“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.”
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…
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’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 […]
The COVID-19 pandemic has had a significant impact on the US food supply network. Supply chains that were very efficient in meeting the needs of restaurants and supermarkets have had a hard time adapting to changing conditions.
The COVID-19 pandemic has had a significant impact on the US food supply network. Supply chains that were very efficient in meeting the needs of restaurants and supermarkets have had a hard time adapting to changing conditions.
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.
Our research examines and compares people’s compliance with these measures over time, across diverse national, cultural, and political contexts. Specifically, it focuses on how different value and belief systems influence (non)compliance with containment measures as the pandemic unfolds.
Understanding the structures of the SARS-CoV-2 viral proteins is essential to understanding its biology, its infectiousness, its transmissibility, and how to develop treatments for it. Our project focuses on enabling the process of structure determination for SARS-CoV-2 proteins.
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.
Modeling COVID-19 in the context of optimizing quarantine policy using mobility patterns
We are attempting to apply approaches developed in microbial ecology to understand how a viral pathogen such as SARS-CoV-2 can survive and be transmitted in academic environments.
We are designing a public health solution for contact tracing built around digital ecosystems. Our current focus is on improving privacy, user-experience, effectiveness, and adoption of digital contact tracing. With so many issues at forefront, the challenge to solve the contact tracing puzzle is manifold.
People’s ability to understand and personalize threats are key in getting them to adopt protective behaviors. COVID-19 presents a serious threat to health. However, unlike threats from other kinds of hazards, the virus does not offer any visible indication of its threat or presence.
We have a detailed transmission model that specifically focuses on the availability of testing strategies and their effect on the containment and spread of COVID-19, which is amenable to the systematic exploration of a wide range of important “what-if” scenarios.
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 […]
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 […]
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 […]
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 […]
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. […]
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 […]
The Northeast Big Data Innovation Hub (NEBDIH) is excited to announce our CRUX program: a Collaborative Resource and Understanding Exchange. CRUX will launch the development of NEBDIH’s forthcoming Big Data Map and Assets Platform, with an ultimate aim of connecting the dots to create data-driven solutions to real-world problems. […]
“Leveraging Big Data for Healthcare Revolution” Guest post from Professor Yi Chen, Henry J. Leir Chair in Healthcare, Associate Professor in the Martin Tuchman School of Management (MT-SoM) at New Jersey Institute of Technology (NJIT). On October 5th and 6th, a symposium on Data Science for Healthcare (DaSH), sponsored by the Leir […]
“A Major Milestone for the Data Economy” Click here for the press release from NTIS The four Big Data Regional Innovation Hubs have been selected by the National Technical Information Service (NTIS) of the U.S. Department of Commerce to enter into a Joint Venture Partnership. Once finalized, this […]
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 […]
ELabNYC (Bio & Health Tech Entrepreneurship Lab NYC) is now accepting applications for its 2017 program where up to twenty new ventures will be invited to participate and join a growing, vibrant community of entrepreneurs. To apply, please submit your application by November 1, 2016. (Link to application.) About: ELabNYC is a […]
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 […]
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 the announcement by Internet2: Miami, FL, September 27, 2016 – Today, at the 2016 Technology Exchange event, Internet2 announced an official call for papers (CFP) from its members and partners to help envision the next Internet2 network. Internet2 is planning a potential major reinvestment in its infrastructure in 2018 […]
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 […]
Over the coming months, the Northeast Big Data Hub will be visiting stakeholders throughout our region, building relationships face-to-face. Our goals on these trips are to:
