All Times ET

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

Online Program

Key:

American Statistical Association