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Computational Statistics

Data Science Technologies

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Education

Machine Learning

Practice and Applications

Software

Thursday, May 30

CS03 - Open Source and Community
Invited

Thu, May 30, 10:30 AM - 12:05 PM
Grand Ballroom J

Organizer(s): Gabriela de Queiroz, IBM

Chair(s): David Smith, Microsoft

10:35 AM

Getting Involved in Scientific Open Source: Lessons from 7 Years of Growing the ROpenSci Community
Karthik Ram, UC Berkeley

11:05 AM

Sustainers of the Tidyverse
Presentation Mara Averick, RStudio

11:35 AM

Building a Community: The R-Ladies Story
Presentation Gabriela de Queiroz, IBM

CS12 - Enterprise Applications of Data Science
Contributed

Thu, May 30, 1:30 PM - 3:05 PM
Grand Ballroom J

Chair(s): Gabriela de Queiroz, IBM

1:35 PM

Estimating Causal Effects in Large Scale Online Experiments and Designing Automated A/B Testing Platforms for Machine Learning
Presentation Zuzanna Klyszejko, MongoDB

1:50 PM

Data Storytelling: Improve Insight-To-Action Conversion for a Greater Real World Impact
Yu Zhou, Mastercard

2:05 PM

Detecting Innovative Companies via Their Website
Piet Daas, Statistics Netherlands

2:20 PM

Metrics and Modeling in Large-Scale Digital Experimentation
W. Duncan Wadsworth, Microsoft

2:35 PM

Forecasting at Scale to Champion Customer Trust
Ana Bertran, Salesforce

2:50 PM

Floor Discussion

PS02 - Data Science Applications E-Posters, I
E-Poster

Thu, May 30, 3:00 PM - 4:00 PM
Grand Ballroom Foyer

Automated Survey Text Analysis -- Supervised Latent Dirichlet Allocation (SLDA)
Presentation Christine P. Chai, Microsoft

Comparing various string similarity algorithms in the task of name-matching
Presentation Aleksandra Zaba, University of Utah

Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study
Mityl Biswas, NC State University

Comparing Object Correlation Metrics for Effective Space Traffic Management
Julie Zhang, University of Washington

Batch effect adjustment via ensemble learning in the validation of genomic classifiers
Yuqing Zhang, Boston University

Tensor Mixed Effects Model with Application to Nanomanufacturing Inspection
Presentation Xiaowei Yue, Virginia Polytechnic Institute and State University

Burst Detection in Call Trains for Identifying Fraud in Telecommunications
Presentation Miguel Raul Pebes Trujillo, Indiana University Bloomington, Department of Statistics

Active Labeling using Model-based Classification
Min Fang, San Jose State University

Analyzing Influence of Social Media Through Twitter
Presentation Dhrubajyoti Ghosh, North Carolina State University

Diversity of forest structure across the United States
Jessica Lynn Gilbert, Purdue University

ClusterJob, an Experiment Management System For Ambitious Data Science
Bekk Blando, Clemson University

A Maximum Likelihood Method for Correlated Discrete and Continuous Outcomes with Selection, Lagged Effects and Variance
Rhoda Nandai Muse, University of Arizona, Mathematics Department

Gender Distribution in Movie Roles
Presentation Vijay Ravuri, CalPoly SLO

Evaluating and forecasting the CD4 cell count evolution in HIV+ patients from a Bayesian stochastic model related to the logistic curve with multiple inflection points.
Victor Cruz-Torres, University of Puerto Rico

CS15 - Linguistic Diversity in NLP
Invited

Thu, May 30, 4:00 PM - 5:35 PM
Grand Ballroom J

Organizer(s): Rachael Tatman, Kaggle

Chair(s): Julia Silge, Stack Overflow

4:05 PM

An Introduction to Computational Sociolinguistics
Rachael Tatman, Kaggle

4:35 PM

English Isn't Generic for Language, Despite What NLP Papers Might Lead You to Believe
Presentation Emily M. Bender, University of Washington

5:05 PM

Learning the Language of BlackTwitter
Brandeis Hill Marshall, Spelman College

PS03 - Data Science Applications E-Posters, II
E-Poster

Thu, May 30, 5:30 PM - 6:30 PM
Grand Ballroom Foyer

Automated Analytics of the Solar Corona with Scalable Cloud Based Platforms
Lars K. S. Daldorff, JHU/APL

Modeling and Forecasting the Percent Changes in the National Park Visitation Counts Using Social Media Data
Russell Goebel, Western Washington University

Estimating Plant Growth Curves and Derivatives by Modeling Crowdsourced Imaged-Based Data
Haozhe Zhang, Iowa State University

Using Bayesian Networks to Perform Reject Inference
Billie Anderson, Harrisburg University

Usability evaluation of data presentation for official statistics
Presentation Lin Wang, U.S. Census Bureau

Do Unregistered Voters Want to Vote? Automatic Registration and Oregon Elections Turnout.
Matthew Stephan Yancheff, Reed College

Relationship between physical activity and depression in elderly Costa Ricans
Presentation Shu Li, Kent State University

Building an Interpretable Incident Prediction model for Site Reliability
Jiaping Zhang, Salesforce

For-estimation: Post-stratification to increase efficiency of forest attribute estimates
Miranda Rintoul, Reed College

Forecasting NBA Fan Support using Time Series Analysis
Victor Wilson, Cal Poly San Luis Obispo

Handling Missing Data in Cardiovascular Disease Prediction Using Neural Networks
Presentation Megan Shand, Broad Institute

Leverage Machine Learning to Advance Risk Prediction with Electronic Health Record
Presentation Yirui Hu, Geisinger

Multiple uses for chronic condition data mart
John Massman, Virginia Mason

Team Item Response Models
Deborshee Sen, Duke University

Friday, May 31

CS22 - Building and Growing Data Science Teams
Invited

Fri, May 31, 10:30 AM - 12:05 PM
Grand Ballroom J

Organizer(s): Jacqueline Nolis, Nolis, LLC

Chair(s): Jacqueline Nolis, Nolis, LLC

10:35 AM

From Zero to A^X: Scaling Data Science Teams
Amanda Casari, Google Cloud

11:05 AM

Together at Last: Heterogeneous Teams and the Key to Success
Heather Nolis, T-Mobile

11:35 AM

Creating Effective Data Science Teams
Presentation Mehar Singh, ProCogia

CS28 - Data Science Ethics Meet Reality
Invited

Fri, May 31, 1:30 PM - 3:05 PM
Grand Ballroom J

Organizer(s): Os Keyes, University of Washington

Chair(s): Brandeis Hill Marshall, Spelman College

1:35 PM

The Politics of Data
Presentation Meg Drouhard, University of Washington

2:05 PM

The Political Consequences of Repurposing Data
Meg Young, University of Washington

2:35 PM

Beyond Methodological Rigor: Widening the Scope of Ethics in Data Science
Anissa Tanweer, University of Washington

CS39 - Data and Society
Contributed

Fri, May 31, 3:40 PM - 5:15 PM
Grand Ballroom J

Chair(s): Heather Nolis, T-Mobile

3:45 PM

Using Convolutional Neural Networks to Automatically Classify Logos on Shopping Receipts
Presentation Émilie Mayer, Statistics Canada

4:00 PM

Using Topological Data Analysis to Assess Gerrymandering in Voting Districts
Courtney Thatcher, University of Puget Sound

4:15 PM

Predicting the Success of an Crowdfunding Campaign: Spatial Location-Based Trajectory Modeling
Han Yu, University of Northern Colorado

4:30 PM

Nurturing select customers using a state-space model (Investment Recommender / Resource allocation)
Eunice Kim, Microsoft

4:45 PM

Floor Discussion

CS44 - Science and the Environment
Contributed

Fri, May 31, 5:20 PM - 6:25 PM
Grand Ballroom J

Chair(s): Melanie Edwards, Exponent, Inc.

5:25 PM

Trend Assessment for Daily Snow Depths with Changepoints Considerations
Jaechoul Lee, Boise State University

5:40 PM

Yield Forecasting Based on Short Time Series with High Spatial Resolution Data
Yuzhen Zhou, University of Nebraska Lincoln

5:55 PM

Are Forest Communities Impacted by Climate Change?
Jonathan Andrew Knott, Purdue University

6:10 PM

Extracting Signal from the Noisy Environment of an Ecosystem
Presentation Pranita Pramod Patil, Harrisburg University of Science & Technology

Saturday, June 1

CS47 - Data Science for Fun
Invited

Sat, Jun 1, 10:00 AM - 11:35 AM
Grand Ballroom E

Organizer(s): David Smith, Microsoft

Chair(s): Ana Bertran, Salesforce

10:05 AM

Minecraft, R, and Containers
Presentation David Smith, Microsoft

10:35 AM

Using Deep Learning in R to Generate Offensive License Plates
Presentation Jacqueline Nolis, Nolis, LLC

CS56 - Data for Human Health
Contributed

Sat, Jun 1, 1:00 PM - 2:35 PM
Grand Ballroom E

Chair(s): Xiyue Liao, Department of Statistics and Applied Probability, University of California, Santa Barbara

1:05 PM

Multiple-target Robust Design of a Coronary Stent with Multiple Functional Outputs
Presentation Fan JIANG, City University of Hong Kong

1:20 PM

Multiple Hypotheses Testing for Discrete Data - "MHTdicsrete" R package
Yalin Zhu, Merck & Co., Inc.

1:35 PM

What Are the Comorbidities That Go with Asthma? Basket Analysis Approach
Tianyuan Guan, University of Cincinnati

1:50 PM

An Optimal Kernel-Based U-Statistic Method for Quantitative Gene-Set Association Analysis
Tao He, San Francisco State University

2:05 PM

A Nonlinear Hierarchical Modeling Approach to Estimating the BAT Curve Using Markov Chain Monte Carlo
Colin O'Rourke, Benaroya Research Institute

2:20 PM

Floor Discussion

CS58 - When Biomedical Data Gets Big: Challenges and Solutions in Biomedical Data Science
Invited

Sat, Jun 1, 2:45 PM - 3:50 PM
Grand Ballroom E

Organizer(s): James Eddy, Sage Bionetworks

Chair(s): Yalin Zhu, Merck & Co., Inc.

2:50 PM

Analysis of Whole Genome Sequence Analysis in >100k Individuals: Experience in the TOPMed Program
Ken Rice, Universiry of Washington

3:20 PM

Biomedical Informatics and Precision Medicine Are Laying the Framework for the Next Generation of Data-Driven Clinical Research
Sean Mooney, University of Washington

Online Program

Viewing Track 'Practice and Applications' only

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