In October 2023, the CIC Student Working group launched our first semester-long data science education project on COVID-19 Visualization. The 300+ members of the Working Group developed independent data visualizations using tools and skills learned as a community. We learned to develop a COVID-19 research question and explored time series analysis […]
In February 2024, the CIC Student Working Group launched a data science project on global responses to the COVID-19 pandemic. The 575+ members of the Student Working Group developed independent research analyses, practicing data science, machine learning, time series analysis, and geospatial mapping along the way. We learned to develop […]
In February 2024, the CIC Student Working Group launched a data science project on global responses to the COVID-19 pandemic. The 575+ members of the Student Working Group developed independent research analyses, practicing data science, machine learning, time series analysis, and geospatial mapping along the way. We learned to develop […]
In February 2024, the CIC Student Working Group launched a data science project on global responses to the COVID-19 pandemic. The 575+ members of the Student Working Group developed independent research analyses, practicing data science, machine learning, time series analysis, and geospatial mapping along the way. We learned to develop […]
In February 2024, the CIC Student Working Group launched a data science project on global responses to the COVID-19 pandemic. The 575+ members of the Student Working Group developed independent research analyses, practicing data science, machine learning, time series analysis, and geospatial mapping along the way. We learned to develop […]
In February 2024, the CIC Student Working group launched a data science project on global responses to the COVID-19 pandemic. The 575+ members of the Student Working Group developed independent research analyses, practicing data science, machine learning, time series analysis, and geospatial mapping along the way. We learned to develop […]
Guest post by Chirag Patel, Harvard Medical School This Success Story is a report on the results of the Northeast Big Data Innovation Hub’s 2021 Seed Fund program. This research project considered the health challenges posed by environmental hazards across the U.S., with a particular focus on the health disparities […]
In October 2023, the CIC Student Working group launched our first semester-long data science education project on COVID-19 Visualization. The 300+ members of the Working Group developed independent data visualizations using tools and skills learned as a community. We learned to develop a COVID-19 research question and explored time series analysis […]
The twenty-seventh of the COVID Information Commons (CIC) webinar series took place on October 10, 2023. In this forum, leading COVID-19 scientists presented their current research on the global pandemic. Event moderators included Florence Hudson, Executive Director of the Northeast Big Data Innovation Hub at Columbia University and COVID Information Commons Principal Investigator (PI), Lauren […]
The Water Data Forum is a virtual webinar series presented by the Cleveland Water Alliance, Water Environment Federation, and Midwest Big Data Innovation Hub. These interactive web sessions engage a cross-sector panel of experts in an exploration of utility, private sector, and research approaches to collecting, managing, and measuring water […]
Guest post by Dr. Shuting Wang, Assistant Professor, Baruch College, City University of New York (CUNY) This Success Story is a report on the results of one of the awards in the Northeast Big Data Innovation Hub’s 2021 Seed Fund program. In this study, the Baruch College team investigated the […]
The fourteenth session of the COVID Information Commons (CIC) webinar series took place on July 26th, 2023. In this forum, leading COVID-19 scientists presented their current research on the global pandemic. Event moderators included Florence Hudson, Executive Director of the Northeast Big Data Innovation Hub at Columbia University and COVID Information Commons Principal Investigator […]
The thirteenth in the series of COVID Information Commons (CIC) webinars which began in 2020 took place on April 24th, 2023. In this forum, leading COVID-19 scientists presented their current research on the global pandemic. Event moderators included Florence Hudson, Executive Director of the Northeast Big Data Innovation Hub at Columbia University and COVID […]
Written by: Femi Johnson A recording of this event is available at the Northeast Big Data Hub’s YouTube channel. On January 27, 2023, the Northeast Big Data Innovation Hub (NEBDHub) held its 2023 Inaugural Student Research Symposium. This event highlighted the student-led research that was completed by undergraduate- and graduate-level […]
by Lauren Close, Lylybell Teran, and Esther Jackson, with editorial support from Florence Hudson, Macy Moujabber, Isabella Graham-Martinez, and Jeremiah Mercurio With thanks to Lara Azar, Elia Bregman, Brian Buckley, Cora Lee Cole, Victoria Horrocks, Saanya Subasinghe, Rhyley Vaughan, and Kathryn Pope. As our scholarly communication ecosystem becomes increasingly reliant on digital […]
Guest post by Dr. 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, […]
The COVID Information Commons (CIC) webinar took place on July 15th, 2022. In this forum, leading COVID-19 scientists presented their current research on the global pandemic. Event moderators included Florence Hudson, Executive Director of the Northeast Big Data Innovation Hub at Columbia University and COVID Information Commons Principal Investigator (PI), and Lauren Close, […]
Guest post by Dr. 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 […]
Guest post by Dr. 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 […]
The June 2022 COVID Information Commons (CIC) webinar took place on June 10th, 2022. In this forum, leading COVID-19 scientists funded by NSF presented their current research on the global pandemic. Event moderators included Florence Hudson, Executive Director of the Northeast Big Data Innovation Hub at Columbia University and COVID Information Commons Principal […]
The April 2022 COVID Information Commons (CIC) webinar took place on April 15th, 2022. In this forum, leading COVID-19 scientists funded by the NSF presented their current research on the global pandemic. Florence Hudson, Executive Director of the Northeast Big Data Innovation Hub at Columbia University and COVID Information Commons […]
The May 2022 COVID Information Commons (CIC) webinar took place on May 5th, 2022. In this forum, leading COVID-19 scientists funded by the NSF presented their current research on the global pandemic. Florence Hudson, Executive Director of the Northeast Big Data Innovation Hub at Columbia University and COVID Information Commons […]
Guest Post: Kenia Pujols Keywords: Pandemic, virtual reality, health, data science, mandates, government, collaboration, diagnostics, depression, social isolation, learning, COVID-19. A recording of this event is available on the Northeast Big Data Innovation Hub’s YouTube Channel and the COVID Information Commons website at covidinfocommons.net. The COVID Information Commons is an […]
Guest post by Dr. 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 […]
Post Guest: Haleigh Stewart Four NSF-funded researchers convened on Friday, February 4th, 2022 at the COVID-19 Research Webinar Lightning Talk, marking the 17th event of the webinar series. Organized through the COVID Information Commons (CIC), the COVID-19 Research Webinar series fosters collaboration across different disciplines and provides a virtual platform […]
Guest Post: Kenia Pujols Keywords: Pandemic, STEM, structural biology, crystallography, MARCO polo, COVID-ARC, bibliometrics, health, data science, collaboration, archive, COVID-19. A recording of this event is available at the Northeast Big Data Hub’s YouTube Channel and covidinfocommons.net. The COVID Information Commons is a NSF-funded project brought to you by the […]
Guest post by Dr. Ho-Joon Lee, 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 […]
Guest post by Dr. Changqing Cheng, 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 […]
Guest Post: Saanya Subasinghe A recording of this event is available at the Northeast Big Data Hub’s YouTube channel as well as at covidinfocommons.net. The COVID Information Commons is an NSF-funded project brought to you by the Big Data Innovation Hubs, led by the Northeast Big Data Innovation Hub at […]
Guest Post: Isabella Graham Martinez A recording of this event is available at the Northeast Big Data Hub’s YouTube channel as well as at covidinfocommons.net. The COVID Information Commons is an NSF-funded project brought to you by the Big Data Innovation Hubs, led by the Northeast Big Data Innovation Hub […]
New York, NY – October 5, 2021 The COVID Information Commons (CIC) project, a program led by the Northeast Big Data Innovation Hub in the Data Science Institute at Columbia University, in collaboration with the Midwest Big Data Innovation Hub, the South Big Innovation Data Hub, and the West Big […]
Guest post: Brian Buckley, Boston University; Volunteer, Northeast Big Data Innovation Hub On Wednesday, September 22, 2021, six researchers studying a wide range of topics on the global pandemic presented their work as part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons (CIC). The COVID […]
Guest post: Brian Buckley, Boston University; Volunteer, Northeast Big Data Innovation Hub On Wednesday, August 18, 2021, five researchers studying a wide range of topics on the global pandemic presented their work as part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons (CIC). The COVID Information Commons is […]
On Friday, July 16th, 2021, five researchers studying a wide range of topics on the global pandemic presented their work as part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons (CIC). The COVID Information Commons is an NSF-funded project organized by the Big Data Innovation […]
Watch the full webinar here. On Wednesday, June 9, 2021, six researchers studying wide-ranging aspects of the current pandemic came together as a part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons, to share their research and insights with our community. This month’s event featured […]
Watch the full webinar here. On Wednesday, May 19 2021, five researchers studying wide-ranging aspects of the current pandemic came together as a part of the ongoing COVID-19 Research Webinar series organized through the COVID Information Commons, to share their research and answer questions from our community. This month’s event […]
During February’s COVID Information Commons (CIC) webinar, researchers, students, and non-profit leaders gathered to discuss and collaborate on research about COVID. The webinar featured talks from seven scientists from across the nation who shared insights on their NSF-funded research. Speakers included Naomi Senehi from Rice University, Nicola Sochacka from the […]
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 […]
Over 80 people convened for this month’s COVID webinar, as six NSF Rapid Response Research investigators from across the United States shared their research topics and findings regarding the COVID-19 pandemic, and the new COVID Information Commons Student Paper Challenge was announced. This month’s presenters included Foad Hamidi (University of […]
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 […]
Eight scientists spoke with an enthusiastic community at the second COVID-19 Research Webinar organized by the COVID Information Commons on October 16, 2020. Presenters who shared their latest research findings regarding the current pandemic included Rachel Wu (University of California-Riverside), Sara Rampazzi (University of Michigan), Sarah Bowman (Hauptman-Woodward Medical Research […]
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) […]
“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 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
