DSI Community Responds to Coronavirus/COVID-19

Many members of the DSI community are responding to the crisis through their respective disciplines. We will update datascience.columbia.edu with COVID-19-related news from our members, affiliates, alumni, and students throughout this crisis.

Statistical Tool Developed at Columbia Will Track Covid-19 Data as New York Emerges From Lockdown

DSI Director Jeannette Wing Receives NSF Grant to Create COVID-19 Information Commons
The website will facilitate knowledge sharing and collaboration across various COVID research efforts, beginning with NSF-funded COVID Rapid Response Research (RAPID) projects, and serve as a resource for researchers and decision makers from government, academia, nonprofits, and industry to accelerate the most promising research. Contact: wing@columbia.edu



DSI Director Jeannette Wing Receives NSF Grant to Create COVID-19 Information Commons

Statistical Tool Developed at Columbia Will Track COVID-19 Data as New York Emerges From Lockdown
Samir Bhatt, who is a senior lecturer in geostatistics at Imperial College London and New York State’s advisor on COVID-19 data, discusses his research team’s use of Stan, a statistical programming language created by a team led by Columbia University statistics and political science professor and Data Science Institute member Andrew Gelman, to quantify geographic variation in the spread of coronavirus. Contact: gelman@stat.columbia.edu

 


COVID-19 Data Challenge

DSI's Center for Health Analytics Launches COVID-19 Data Challenge
This COVID-19 data challenge is open to members of the Columbia University community. Each team of two to four members is allowed one non-affiliate member who is not the captain. The final project submission deadline is Friday, April 24, 2020, 11:59 p.m. EDT. Contact: itsik@cs.columbia.edu

 


CovidWatcher App

CovidWatcher App Tracks Coronavirus Hot Spots in NYC
Five DSI members and other collaborators across Columbia University have developed and launched an app that surveys users about their exposure to the coronavirus, symptoms, access to medical care, and impact on daily life. The data will be used to track the spread of the coronavirus in New York City, giving citizens real-time information about hot spots and enabling health care officials to deploy resources where needed most. Contact: noemie.elhadad@columbia.edu

 


CovidWatcher App

COVID-19 Trial Finder Provides Simplified Search Process for COVID-Related Clinical Trials
“Information overload is an unnecessary challenge for patients and clinicians seeking COVID-related trials,” says Chunhua Weng, a professor of biomedical informatics and Data Science Institute member. “The process of finding the right trial, based on location, eligibility, and any other factor, can be overwhelming and turn people off to the process." Weng and a team of Columbia researchers have developed COVID-19 Trial Finder, a simplified method for patients, clinicians, and healthy volunteers to search for appropriate COVID-related clinical trials. Contact: cw2384@columbia.edu


Stealth Transmission of Coronavirus

Environmental Health Sciences Professor, DSI Affiliate Jeff Shaman on the Stealth Transmission of Coronavirus
“Undetected cases expose a greater percentage of the population to the virus," Shaman says. "And these stealth transmissions will continue to present a major challenge to the containment of this outbreak around the world.” Contact: jls106@columbia.edu

 


Making sound decisions during the coronavirus pandemic

Business Professor, DSI Affiliate Oded Netzer on Making Sound Decisions During the Coronavirus Pandemic with Limited Data
“Unprecedented realities, such as the one we are facing now with the COVID-19 pandemic, provide a challenge to this traditional practice of data science,” Netzer says. “In such situations, we have very limited historical or benchmark data to base our decisions on. Hence, we need to combine the limited data we observe, which are often far from perfect, with a good amount of intuition and domain specific acumen.” Contact: onetzer@gsb.columbia.edu


Law Professor, DSI Member Eric Talley, et al.: Coronavirus Is Becoming a “Majeure” Headache for Pending Corporate Deals
The fate of these deals has been thrown into considerable doubt by the COVID-19 crisis. Corporate lawyers are scouring the terms of these deals for escape hatches that might unwind the transactions. Contact: etalley@law.columbia.edu

 


Biostatistician, DSI Member Jeff Goldsmith on the Importance of Data Science and Public Health Collaborations

Biostatistician, DSI Member Jeff Goldsmith on the Importance of Data Science and Public Health Collaborations
“This pandemic has shown the necessity of using data-driven approaches to contend with a public health challenge of an enormous magnitude,” says Goldsmith, an associate professor of biostatistics at the Mailman School of Public Health. Contact: jeff.goldsmith@columbia.edu

 


Columbia Business School Professor, DSI Member Carri Chan on How to Improve Hospital Operations in the Midst of a Pandemic

Columbia Business School Professor, DSI Member Carri Chan on How to Improve Hospital Operations in the Midst of a Pandemic
Carri Chan, a hospital operations expert and an associate professor in the division of decision, risk, and operations at Columbia Business School, has spent the last decade developing data-driven models to improve the flow of patients through intensive care units. Since the onset of COVID-19, her expertise has been featured by Bloomberg, Fox News, New York Magazine, Chicago Tribune, New York Daily News, and NBC.com. She reflects on how hospitals have been contending with the virus and how the pandemic has impacted her research. Contact: cwchan@columbia.edu


Preparing Data Science Students to Excel in the Coronavirus Job Market

Preparing Data Science Students to Excel in the Coronavirus Job Market
The DSI career development team now hosts virtual mock interviews to prepare students to excel in a COVID-constricting job market. Alumni interview two to four students at a time about their technical skills and previous experiences. The sessions are also recorded—with permission, of course—for the students to review and refine their responses with career advisers. Contact: jh4253@columbia.edu

 


DSI Alumni Use Machine Learning to Discover Coronavirus Treatments

DSI Alumni Use Machine Learning to Discover Coronavirus Treatments
Andrew Satz and Brett Averso are chief executive officer and chief technology officer, respectively, of EVQLV, a startup creating algorithms capable of computationally generating, screening, and optimizing hundreds of millions of therapeutic antibodies. They apply their technology to discover treatments most likely to help those infected by the virus responsible for COVID-19.

 


Below is a list of resources that might be useful and informative if you are looking for ways to contribute to research on COVID-19.

You may contact Sharon Sputz (ssputz@columbia.edu) if you would like to join one of the many COVID-19-related research teams across the University.

Are you already working on a COVID-19 project? Please complete an investigator survey and a project survey (one per project) ASAP. 


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