Online Program
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Key:
Computational Statistics
Data Visualization
Education
Machine Learning
Practice and Applications
Software & Data Science Technologies
Friday, June 4
SDSS Virtual Expo
SDSS Hours
Fri, Jun 4, 9:30 AM - 6:30 PM
GS02 -
Plenary Panel: Impacts of COVID-19
General Session
Fri, Jun 4, 10:00 AM - 11:10 AM
Chair(s): Donna LaLonde, American Statistical Association
Impacts of COVID-19
Lily Wang, Iowa State University; Sara Del Valle, Los Alamos National Laboratory; Juan Lavista Ferres, Microsoft
CS16 -
Data Science Shaping Innovative Applications
Refereed
Fri, Jun 4, 11:25 AM - 1:00 PM
Chair(s): Jessica Moore, LMI
11:30 AM
Community Detection in Open Source Software Collaboration Networks
Behnaz Moradijamei, University of Virginia
12:00 PM
Improving Election Predictions: A Statistical Investigation of Crucial Swing State Behavior in the Past
Presentation
Mason Chen, Stanford OHS
CS17 -
Simulation-Based Statistics
Refereed
Fri, Jun 4, 11:25 AM - 1:00 PM
Chair(s): Sinjini Sikdar, Old Dominion University
11:30 AM
Local Two-Sample Testing by Random-Walk Distributions
Boris Landa, Yale University
12:00 PM
K-Fold Cross-Validation for Complex Sample Surveys
Presentation
Jerzy Wieczorek, Colby College
12:30 PM
The Impact of Bias Correction on Bootstrap Confidence Intervals for the First Order Bifurcating Autoregressive Model
Presentation
Tamer Elbayoumi, North Carolina A&T State University
CS18 -
Advancements in Learning
Refereed
Fri, Jun 4, 11:25 AM - 1:00 PM
Chair(s): Heather Hisako Kitada Smalley, Willamette University
11:30 AM
Adversarially Robust Subspace Learning
Ruizhi Zhang, University of Nebraska-Lincoln
12:00 PM
A Geometry-Driven Longitudinal Topic Model
Presentation
Yu Wang, University of Michigan
CS19 -
Memorial Session for Jim Harner
Special Session
Fri, Jun 4, 11:25 AM - 1:00 PM
Chair(s): Tim Hesterberg, Google
11:30 AM
How Usability and Reproducibility in Software Improves Teaching and Research
Soren Harner, RC2AI
11:55 AM
A Predictive Internet-Based Model for COVID-19 Hospitalization Census
Philip Turk, Atrium Health
12:20 PM
Leading with Data Science: A Key to West Virginia's Pandemic Response
Brad Price, West Virginia University
CS20 -
Bio-Data Science
Refereed
Fri, Jun 4, 1:20 PM - 2:55 PM
Chair(s): Turkan Kumbaraci Gardenier, Teka Trends, Inc.
1:25 PM
Examining Leading Indicators for COVID-19 Incidence Case Growth
Vishnu Shankar, Stanford University
1:55 PM
Propagating Uncertain Functional Inputs Through Neutronics Simulations
Scott Vander Wiel, Los Alamos National Laboratory
CS21 -
What Do I Use Computational Statistics For?
Refereed
Fri, Jun 4, 1:20 PM - 2:55 PM
Chair(s): Donna LaLonde, American Statistical Association
1:25 PM
A Statistical Analysis to Determine the Distribution and Pattern for an Insurance Claim Data
Sikiru Ademola Adewale, Virginia Tech
1:55 PM
'To Book or Not to Book': Exploring the Determinants of Successful Airbnb Bookings Across Multiple Geographies
Presentation
Pooja Sengupta, International Management Institute, Kolkata
2:25 PM
Sparse Bayesian Predictive Modeling of Tumor Response from Radiomic Data
Presentation
Shirin Golchi, McGill University
CS22 -
Shaping the Next Generation
Refereed
Fri, Jun 4, 1:20 PM - 2:55 PM
Chair(s): Claire Bowen, Urban Institute
1:25 PM
Examples from Two Undergraduate Bayesian Courses: Tools, Resources, and Suggestions for Teaching
Presentation
Jingchen Hu, Vassar College
1:55 PM
Computing Competencies for Undergraduate Data Science Curricula: Summary of Report and Next Steps
Karl R. B. Schmitt, Trinity Christian College
2:25 PM
Developing a High-School Data Science Course and Curriculum
Daniel O'Loughlin, St. Paul Academy and Summit School
CS23 -
Data Science Education and Applications
Lightning
Fri, Jun 4, 1:20 PM - 2:55 PM
Chair(s): Lisa Kay, Eastern Kentucky University
1:25 PM
Novel Statistical Analysis in the Context of a Comprehensive Needs Assessment for Secondary STEM Recruitment
Presentation
Norou Diawara, Old Dominion University
1:30 PM
Who teaches data science concepts? - Results from course catalog mining with machine learning
Presentation
Sasha Lioutikova, Yale University
1:40 PM
Using Data from my Backyard Garden to Teach Introductory Data Science
Lisa Lendway, Macalester College
1:45 PM
Scaffolding and Mentoring Student Data Science Projects in the Liberal Arts Setting
Heather Hisako Kitada Smalley, Willamette University
1:50 PM
Reproducible and collaborative data-science with the RENKU platform
Presentation
Oksana Riba, EPFL Swiss Data Science Center
1:55 PM
Evaluating the overlap weighting method for balancing covariates using real and simulated claims data
Wen Wan, The University of Chicago
2:00 PM
Reconstruction of age distributions from differentially private population data
Presentation
Ethan Sharygin, Portland State University
2:05 PM
Predicting Type of Work-Related Fatal Accident Based on Knowledge Graph and Machine-Learning Methods
Presentation
Feiyu E, Southern University of Science and Technology
2:10 PM
Tornado Property Loss Scale: Up to $8 Billion by 2025. Classification, Dependence, and Prediction of Tornado Events in the U.S.
Presentation
Thilini Vasana Mahanama, Texas Tech University
2:15 PM
Tax Auditing use of Statistical Sampling Design Methods
Zachary Rhyne, Ryan LLC
2:20 PM
The Effect of the Differential Privacy Disclosure Avoidance System Proposed by the Census Bureau on 2020 Census Products: Four Case Studies of Census Blocks in Alaska.
Presentation
David A. Swanson, UC Riverside and CSDE, U of Washington
2:25 PM
Analysis of 2020 Global Stock Market Crash
Min Shu, University of Wisconsin-Stout
2:30 PM
Using Timescale Variation Measures to Measure Climate Change
Yawen Ding, Cornell University
CS24 -
New Models and Methods
Lightning
Fri, Jun 4, 1:20 PM - 2:55 PM
Chair(s): Md Jobayer Hossain, Nemours Children Hospital System, A. I. Dupont Hospital for Children
1:25 PM
Likert-type scale variables analysed through CUB models: a review
Nicolò Biasetton, Università degli Studi di Padova
1:30 PM
Machine Learning Assisted Complex Survey Weights
Stanislav Kolenikov, Abt Associates
1:35 PM
An Efficient Variance Estimator for Cross-Validation under Partition-Sampling
Xizhen Cai, Williams College
1:40 PM
Methods for Detecting Numeracy’s Effect on Trait-Unrelated Response Styles
Presentation
Zachary Loran, UCLA
1:45 PM
Alternative to ANOVA
Mian Shams Adnan, Bowling Green State University
1:50 PM
Quantifying the Terms from the Bias-Variance Decomposition Using Metalog Distributions
Neil A Hamlett, Uncertainty Research, LLC
1:55 PM
Wald Type Tests With the Wrong Dispersion Matrix
Kosman Watte Gedara Dimuthu Hansana Rajapaksha, Southern Illinois University Carbondale
2:00 PM
The Hierarchy of Block Models
Majid Noroozi, Washington University at St. Louis
2:05 PM
Fitting Structural Equation Models via Variational Approximations
Khue-Dung Dang, University of Technology Sydney
2:10 PM
Automatically Extracting Differential Equations from Data with Sparse Regression Techniques
Presentation
Kevin Egan, Durham University
2:15 PM
Uniform-Laplace Mixture Distributions
Amos Natido, University of Nevada, Reno
2:20 PM
Clustering Data with Nonignorable Missingness using Semi-Parametric Mixture Models
Matthieu Marbac, CREST / ENSAI
2:25 PM
Normal - Pareto Distributions: Theoretical Framework and Computational Issues
Presentation
Matthew Awere Ohemeng, University of Nevada Reno
2:30 PM
Scalable Gaussian Processes on Physically Constrained Domains
Presentation
Bora Jin, Duke University
2:35 PM
Intrinsic smoothing method based on penalized spherical Bézier curves
Kwan-Young Bak, Korea University
2:40 PM
Strong Orthogonal Arrays and Orthogonal Array-Based Latin Hypercube Designs for Planning Experiments: A Method for Improving Study Design in Biomedical Research
Presentation
Kazeem Adewale Osuolale, Nigerian Institute of Medical Research, Yaba, Lagos
2:45 PM
Multi-scale Affinities with Missing Data: Estimation and Applications
Min Zhang, North Carolina State University
2:50 PM
Alternatives to Chebyshev's Inequality
Mian Shams Adnan, Bowling Green State University
CS25 -
Geo-Spatial Data Analysis
Refereed
Fri, Jun 4, 3:20 PM - 4:55 PM
Chair(s): Brennan Bean, Utah State University
3:25 PM
Quantifying the Effects of Passenger-Level Heterogeneity on Transit Journey Times
Ramandeep Singh, Imperial College London
3:55 PM
Evaluating Fairness in the Presence of Spatial Autocorrelation
Subhabrata Majumdar, AT&T Labs - Research
4:25 PM
Statistical Learning for Predicting Electron Dynamics
Prachi Gupta, University of California, Merced
CS26 -
Data-Driven Science
Refereed
Fri, Jun 4, 3:20 PM - 4:55 PM
Chair(s): David Han, The University of Texas at San Antonio
3:25 PM
Spatial-Temporal Change Detection Using Elastic Functional Data Analysis
Avipsa Roy, Arizona State University
3:55 PM
Increasing Integration of Data-Driven Analyses in Operational Activities Through Knowledge Management
Presentation
Thushara Gunda, Sandia National Laboratories
4:25 PM
Detecting and Explaining Changes in Presidential Approval with Interval-Censored Polling Data
Jiahao Tian, University of Virginia
CS27 -
Random Forests Shaping Decisions
Refereed
Fri, Jun 4, 3:20 PM - 4:55 PM
Chair(s): Krithika Suresh, University of Colorado
3:25 PM
Augmented Bagging and Implications for Variable Importance
Siyu Zhou, University of Pittsburgh
3:55 PM
Causal Effect Random Forest of Interaction Trees for Learning Individualized Treatment Regimes with Non-Binary Treatments in Observational Studies
Richard A Levine, San Diego State University
CS28 -
Honoring the Data Science Accomplishments of William S. Cleveland and John W. Tukey
Special Session
Fri, Jun 4, 3:20 PM - 4:55 PM
Chair(s): Tim Hesterberg, Google
3:25 PM
Bill Cleveland: Il Maestro of Statistical Graphics
Nicholas Fisher, University of Sydney & ValueMetrics Australia
3:40 PM
Bill Cleveland’s Contributions to Methods for Analysis and Visualization of Large Complex Data
Ryan Hafen, Preva Group
3:55 PM
Bill Cleveland's Contributions to Analysis of Big Complex Data
Wen-wen Tung, Purdue University
4:10 PM
Bill Cleveland's Action Plan for Data Science
David Donoho, Stanford University
4:25 PM
How John Tukey Led Us Into Data Science
William S. Cleveland, Purdue University
GS03 -
Closing and Plenary Panel: 2020 Census
General Session
Fri, Jun 4, 5:10 PM - 6:20 PM
Chair(s): Claire Bowen, Urban Institute
2020 Census
D'Vera Cohn, Pew Research Center; Hansi Lo Wang, NPR; Nancy Potok, NAPx Consulting LLC
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