NYU Mobilizes Against COVID-19
This page lists both NYU-wide and external resources/links that will allow you to contribute your skills and expertise and stay informed on NYU’s efforts to limit the negative impact of COVID-19.
If you work on projects to limit the negative impact of COVID-19 and are in need of data science expertise, we will aim to match you with data science talent and resources from our students, researchers and faculty. Please note that preference will be given for projects by NYU researchers, followed by projects relevant to NYC.
The office of the Vice Provost for research has created a living wiki page that lists the most up-to-date information on faculty research expertise, funding opportunities and volunteers:
- NYU COVID-19 Research Resources (Please note you must have a nyu.edu email address to access.)
- The Office of the Vice Provost for Research is announcing the COVID-19 Research Catalyst Grants as a new internal funding opportunity aimed at jump-starting COVID-19 research projects. The deadline is April 13, 2020, and NYU teams can apply for up to $10,000 per project. The start date for these new projects is immediate upon award notification. To start your application, click on the link provided above.
- The Department for Biostatistics at the Global School for Public Health is offering biostatistics consultations for COVID-19 related requests.
- NYU responds to COVID-19 – News Stories
- Data Stewards, A Call to Action launched by the GovLab
- NYU-GovLab Data Collaboratives Repo: The NYU GovLab has collected and excellent and extensive repository of world-wide COVID-19-related data collaboratives and initiatives. You will find a wealth of information on projects that are already happening, often with contact information. These could serve as inspiration to launch similar projects locally. It also contains a set of challenges and calls for help.
NYU Researchers Calls for Help
- Call for Data Science Volunteers from the NYU School of Medicine for help with Report Forms for COVID. Please send your resume highlighting your Data Science skill sets to email@example.com.
- Call for Help from the NYU Marron Institute: NYU Marron Institute is developing statistical models, tabular data files, data visualizations and maps to explain disparities in case and death rates at the Metropolitan level in the U.S. This is contrast to reporting that typically occurs at the county or state level. They are most interested in acquiring help for developing a website that displays metro area data daily, with maps and visualizations. We have already written a working paper on the topic and developing proposals that build upon this work. If you’re interested, please contact firstname.lastname@example.org.
- Hackathon hosted by NYUAD for solutions to challenges created by COVID-19 on Thursday (8PM UAE Time), April 16, 2020 to Sunday (10PM UAE Time) April 19th, 2020
- Public Safety Lab @ NYU is seeking volunteers to assist in writing Python scrapers for daily jail rosters – they are actively using these data to help advocacy organizations and local governments assess decarceration in light of the danger of COVID-19. If you’re interested, please contact email@example.com.
- Urgent: Build, evaluate, and deploy of COVID models for clinical applications – (deadline was March 30)
NYU Data Science and Other Projects
- CDS and School of Medicine Team up on Deep Learning Project on Modeling and Prediction Using X-rays of COVID-19 Patients: this project represents a collaboration between investigators at the NYU Grossman School of Medicine and colleagues at the NYU Center for Data Science. The goal of the project is to use deep learning to predict the risk of deterioration of COVID-19 patients, based on the appearance of chest X-rays which are routinely collected in the emergency department (ED). Deterioration is defined by three adverse events: intubation, ICU admission, and mortality. Preliminary results using imaging data collected at the School of Medicine indicate that neural networks can be useful for this task. Predicting these events in a timely manner has the potential to have a significant impact on decision-making in the ED, on allocation of resources such as ventilators in the hospital, and on the development of extended treatment plans for individual patients
- Rajesh Ranganath’s lab together with the School of Medicine are building models for predicting risk of adverse events using electronic health records, at COVID + test time, for emergency department patients
- CDS Professor Kyunghyun Cho and PhD student William Falcon collaborate on a new data collection platform Breathe for Science to potentially diagnose respiratory illnesses, including COVID-19, by analyzing coughing patterns via phone
- Lakshmi Subramanian’s (Courant) work with the state of New Jersey to help ensure data-driven responses to COVID-19
- A project in collaboration between researchers from NYU Center for Data Science and University of Waterloo: Neural Covidex applies state-of-the-art supervised and unsupervised neural network models, such as T5 and BioBERT, to intelligently sort through the COVID-19 Open Research Dataset (CORD-19) provided by the Allen Institute for AI. We hope that our service can contribute to the fight against this global pandemic by helping policy makers and clinicians make better-informed decisions and by helping researchers generate new insights.
- Misinformation Tracer is an automated data collection and data analysis pipeline. The platform helps the public to understand how misinformation spreads on social media platforms. We are currently tracing URLs related to COVID-19. If you want to collaborate or contribute data source, please contact Zhouhan Chen at firstname.lastname@example.org.
- Open Source Face Shield Effort
National Data Science Alliance Resources
The Academic Data Science Alliance, in collaboration with many national Data Science Institutes, has created a living website of resources and opportunities for data scientists to get involved. You will be able to find Datasets, Analytical Tools, Academic Research Articles, Events, Funding Opportunities and more. NYU is actively contributing to these resources, which shortly will contain a Data Science Volunteer form. We encourage you to keep checking as this site aims to streamline national efforts.
Below we list some external efforts to fight against COVID-19 or inform yourself. This website is constantly evolving – stay tuned for updates! We are planning to shortly provide links that connect our efforts to those of the wider academic data science community.
(Note: None of these sites have been vetted by us. We are providing them purely for your information.)
Volunteering of data science (and other) expertise:
- Call to AI community to help with COVID: Kaggle Challenge on COVID-19
- Global COVID-19 Relief Hackathon (launched March 27)
- Call for Technology SWAT Teams to Support New York COVID-19 Response
- Rapid Assistance in Modeling The Pandemic – RAMP – Coordinated by the Royal Society (was due April 2)
- Health-tech non-profit Response4life is building a direct supply chain between ventilator manufacturers and hospitals. They are currently seeking volunteers for a wide range of roles in both short term and long term capacities including data entry, research, web design, and project management. Please contact email@example.com or visit their website if you’re interested in volunteering.
- A call from the White House to help parse COVID-related scientific publications
- Donate your data science research expertise or data
- Sign up to volunteer your experience to governmental organizations
- An initiative from the scientific community to put all available resources at the service of the fight against COVID-19
- COVID-19 projects looking for volunteers
- CounterCorona: platform to match challenges with solutions, run by DigitalHealth ecosystem in Israel
Data Collection & Datasets
- Nextstrain: Open Source Genetic data on COVID-19
- The COVID-19 Host Genetics Initiative
- Midas Online Portal for COVID-19 Modeling Research (Calls for Participation, Funding Announcements and Data Sets/Modeling Info)
- COVID-19 Open Research Dataset (CORD-19)
- 1Point3Acres: COVID-19 in the US & Canada – Real Time Updates with Credible Sources
- The COVID Tracking Project
- Columbia University Libraries Page of Health Related Data Resources
- IReport-COVID, Blockchain Enabled: COVID-19 Survey
- Useful Resources and Research Links from the Society for Industrial and Applied Mathematics
- HPC resources for COVID-19 research
- Penn Medicine released a digital tool to help hospitals with COVID-19 capacity
Calls and Competitions
- Reddit COVID projects page: discusses, showcases, and asks for help with projects relating to response to COVID-19 and the novel coronavirus
- Pandemic Response Hackathon – (submission deadline was 3/27/2020)
- SafeGraph is making its aggregated foot traffic data available for free to help combat the spread of COVID-19
- Design of ventilators that can be 3D-printed
- Code Ventilator Challenge
- COVID-19 Image Data Collection Github
- Detecting COVID-19
- Sage Health, Coronavirus Drug Discovery Competition Results
- Journal Special Issue on AI and Information Technologies for COVID-19 will publish Special Issue in June 2020: please submit
- Immediate Call for Proposals: AI Techniques to Mitigate Pandemic by c3.ai – due May 1
- Real-time Epidemic Datathon Opened March 30: Join the collective effort
- 06/01/2020 9:15am-12:30pm PST – Stanford Institute for Human-Centered Artificial Intelligence: COVID + AI: The Road Ahead
- 04/13/2020 – 11:00am-2:00pm EST – Biostatistics Seminar: Introduction to Infectious Disease Modeling with Erez Hatna & Joshua M. Epstein
- 04/07/2020 – Berkeley Conversations: COVID-19 Creating Informed Responses: Berkeley’s Computing and Data Science In Action
- 04/03/2020 – Berkeley Conversations: COVID-19. Making sense of data, social distancing and what lies ahead – No registration
- 04/01/2020 – Stanford is hosting a virtual conference on COVID + AI
- 03/24/2020 – Coronavirus as a Global Health Issue and Current Impact/Responses in the US – Webinar Recording
- 03/24/2020 – Optimal Resource Allocation to Control Epidemic Outbreaks in Networked Populations