About this Conference
The Data Science Conference on COVID-19 will showcase open source technology and code used to model and analyze the COVID-19 pandemic and will highlight best practices in replicable and reproducible science. Presentations will explore epidemic models of the virus and the pandemics affect on the economy, transportation, the environment, the society and beyond. This conference will provide an opportunity researchers to have their work reviewed and validated by their peers. In a push to encourage transparency, all presentations will provide a link to the projects source code.
Call for Abstracts
The organizing committee are currently accepting abstracts to the Data Science Conference on COVID-19. The submission deadline is Thursday, August 13th. You will be notified if your submission is accepted by Tuesday, August 18th. If you wish to submit your work please fill out this online form, or click this link: https://forms.gle/ELoQfUJtTYL1S8TV8 And also register for the event.
Registration
Registration is free. To register for this event click this eventbrite link: https://www.eventbrite.com/e/online-data-science-conference-on-covid-19-dscc-19-tickets-112164248286
Organizing Committee
Benjamin Ortiz - Ulloa ortizulloabenjamin@gmail.com
Jun Yan - jun.yan@uconn.edu
Mike Jadoo - datamike8@gmail.com
Donna LaLonde
Wendy Martinez
Agenda
Please see the conference website for additional information and links to abstracts and other materials.
Morning Keynote Address: Geographer Rebekah Jones: “Communicating Data and Uncertainty during COVID-19”
Chair: Michael Jadoo- Bureau of Labor Statistics
Session 1A Theme: Theme: Media influence and its effect on behavior and transmissio
Chair: Marjorie Willner- Accenture Federal Services
Social Connectedness and the Geographic Spread of COVID-19, [Invited Speaker] Dominic Russel – New York University, Stern School of Business [PAPER] -10:50 am-11:10 am
The Persuasive Effect of Fox News: Non-Compliance with Social Distancing During the Covid-19 Pandemic, [Invited Speaker] Szymon Sacher- Columbia University, Department of Economics [PAPER] -11:15 am-11:35 am
Detecting Communities in and the Evolutionary Structure of Google Search Trends Related to COVID-19, Philip Waggoner- University of Chicago [CODE] -11:40 am- 12:00 pm
Detecting Communities in and the Evolutionary Structure of Google Search Trends Related to COVID-19 , Kwan-Yuet Ho - Mercatus Center at George Mason University [CODE] -12:00 pm -12:20 pm
Session 1B Theme: Interventions and Policy to flatten the curve on COVID-19 Transmission
Chair: Trevor G. Kent- Accenture Federal Services
Inequality and the Coronavirus: Socioeconomic Covariates of Behavioural Responses and Viral Outcomes Across US Counties, [Invited Speaker] Caitlin Brown- University of Manchester [PAPER] -10:50 am-11:10 am
Comparison of state COVID-19 mortality rates and age demographics, Jesse Patsolic – Accenture Federal Services -11:15 am-11:30 am
Applying Principal Components & Discrimination Analysis to Covid-19 Data , Jorge Romeu - SUNY Cortland [CODE] [PAPER] [PAPER-Multivariate] -11:30 am- 11:45 am
Stay at Home, or at Least Tread Lightly: Using County-Level Data to Study the Effectiveness of COVID-19 Policy, Tom Shafer - Elder Research, Inc [CODE] -11:45 am-12:00 pm
Stay at Home, or at Least Tread Lightly: Using County-Level Data to Study the Effectiveness of COVID-19 Policy, Robert Dunlap- George Mason University, Volgenau School OF Engineering [CODE] - 12:00 pm - 12:20 pm
Panel session “Open data, Open Code, and Reproducible Research.”
Chair: Benjamin Ortiz Ulloa - Accenture Federal Services
- Yihui Xie - R Studio
- Shirley Wang- Bringham Hospital Harvard Medical School
- Jeff Morris- University Pennsylvania
- Patrick Liu & Joseph Friedman - University of California, Los Angeles
Session 2A Theme: COVID and the Effects of Mobility and Geospacial Data
Chair: Adam Grigg
How much does COVID-19 increase with mobility? Evidence from New York and four other U.S. cities, [Invited Speaker] Caitlin Gorback - National Bureau of Economic Research (NBER) [PAPER] -1:55 pm-2:15 pm
The impact of policy interventions on SARS-CoV-2 transmission across 130 countries and regions , Christian Morgenstern - IPM Informed Portfolio Management [CODE] [PAPER] -2:15 pm-2:30 pm
Social determinates of health and COVID-19 mortality rates at the county level , Sophia Lam - Accenture Federal Services -2:30 pm-2:45 pm
Modeling the association of county-level factors with the SARS-CoV-2 instantaneous reproduction number and predicting transmission in counties across the United States , Jing Huang - University of Pennsylvania [CODE] - 2:45 pm-3:00 pm
Investigating the Relationship Between Air Quality and COVID-19 Transmission , Bennet Sakelaris - American Institute of Mathematics [CODE] -3:00 pm-3:15 pm
Session 2B Theme: Medical Detection and Measurement Accuracy
Chair: Petra Zika
Are antibodies tests accurate? Visualizations of predictive values and uncertainty of SARS-CoV-2 serology tests ,[Invited Speaker] Naomi Brownstein - Moffitt Cancer Center [CODE] -1:55 pm-2:15 pm
Ultrasound : Worth A Consideration For Automatic Detection Of COVID-19, Julie Goulet - Physik Department and Bernstein Center for Computational Neuroscience Technische Universität München [PAPER] [CODE] - 2:15 pm-2:30 pm
Exploring Diagnostic Test Accuracy with Plotly Dash , Tommy Jones - In-Q-Tel - 2:30 pm-2:50 pm
Fast and Efficient Data Science Techniques for COVID-19 Group Testing , Varlam Kutateladze- University of California Riverside - 2:50 pm-3:05 pm
Modeling and estimation for COVID-19 under-reported counts , Eric Baron and Michael Baron -University of Connecticut and American University [CODE] - 3:05 pm-3:20 pm
Session 3A Theme: Forecasting meets COVID-19: Transmission. Impact, and Reopening
Chair: Jun Yan- University of Connecticut
Using multiple data streams to estimate and forecast SARS-CoV-2 transmission dynamics ,[Invited Speaker] Jon Fintzi - National Institute of Allergy and Infectious Diseases ( NIAID) -3:25 pm -3:45 pm
Effects of Interventions on COVID-19 Transmission in the United States, [Invited Speaker] Corbin Quick - Harvard -3:45 pm-4:05 pm
Curating a COVID-19 data repository and forecasting county-level death counts in the United States: A data perspective , [Invited Speaker] Tiffany Tang and Yu Wang - UC Berkeley [PAPER] [CODE] -4:05 pm-4:25 pm
Evaluate the timing and risk of resumption of business for the states of East coast states during COVID-19 [Invited Speaker] , Heping Zhang- Yale University - 4:25 pm-4:45 pm
Session 3B Theme: Forecast and Markov Chain modeling of COVID-1
Chair: Katherine Schulz- Accenture Federal Services
Finding the Cost Minimizing Path of Public Health Interventions During the COVID-19 Pandemic, Michael Falkenheim - Congressional Budget Office [CODE] [PRESENTATION] -3:25 pm -3:40 pm
Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation Strategies , Yuanjia Wang, Qinxia Wang, and Shanghong Xie - Columbia University [CODE] - 3:40 pm -3:55 pm
Inferring True Historical Evolution of COVID-19 from Death Incidence , Kevin Kiernan - Accenture Federal Services - 3:55 pm- 4:10 pm
%HOSP_Sim: A SAS macro for projecting hospital bed census from daily new cases of COVID-19, Yilun Sun - Department of Biostatistics, St. Jude Children’s Research Hospital [CODE} - 4:10 pm - 4:25 pm
Evaluating short-term forecast among different epidemiological models under a Bayesian framework ,Tejasv Bedi -The University of Texas at Dallas [CODE] - 4:25 pm - 4:40 pm
Bayesian Segmentation Modeling for Longitudinal Epidemiological Studies, Shuang Jiang - Southern Methodist University [CODE] - 4:40 pm- 4:55 pm
Session 4A Theme: Modeling Transmission spread
Chair: Nalini Ravishanker- University of Connecticut
Modelling and Forecasting for Coronavirus Disease 2019 (COVID-19) spread in Miami-Dade County, Florida, USA, 2020 , Sumedh Kaul - Larkin Community Hospital, South Miami, FL [CODE] - 5:10 pm-5:25 pm
Daily Predictions of COVID-19 Cases , Margini Williner - Accenture Federal Services - 5:25 pm-5:40 pm
Comparing and Integrating US COVID-19 Data from Multiple Sources with Anomaly Detection and Repairing , Guannan Wang- College of William and Mary [PAPER] [CODE] - 5:40 pm-5:55 pm
COVID-19 Severe Outcome Risk Prediction: Privacy-preserving Machine Learning with Massive Medical Claims, EHR and Social Data , Changrong JI - A3.AI - 5:55 pm-6:10 pm
Space-time analysis of the US COVID epidemic ,Lee DeCola- University of Maryland, Baltimore County - 6:10 pm -6:25 pm
Session 4B Theme: Covid-19: Economy and the Environment
Where Low-Income Jobs Are Being Lost to COVID-19? - Monthly updates on the places and industries most at risk , Vivian(Sihan) Zheng and Ajjit Narayanan- Urban Institute [CODE] - 5:10 pm-5:25 pm
Using GLMMs to Predict the Effects of COVID-19 on Shipping Volumes , Katherine Schulz - Accenture Federal Services -5:25 pm-5:40 pm
Changes in Greenhouse Gas Emissions during the COVID-19 Pandemic , Laura Albrecht- American Institute of Mathematics [CODE] - 5:40 pm-5:55 pm
COVID-19 and Social Justice: Disproportional Impacts Among Marginalized Communities , David Corliss- Peace-Work - 5:55 pm-6:10 pm
Building a COVID Economic Impact Dashboard , Catlin Power - Labormatics, Inc [CODE] - 6:10 pm -6:25 pm
Afternoon Keynote: Delphi Research Group (COVID cast)
“New Early Indicators of COVID-19 Activity, from Massive-Scale Surveys and Medical Claims Data”
- Ryan Tibshirani
- Alex Reinhart
Harvesting and Networking - 7:30 pm- 7:35 pm
Chair: Michael Jadoo- Bureau of Labor Statistics
Event Type
- NISS Sponsored