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GS01 - Welcome and Keynote Address

Tamara Kolda Generalized Tensor Decompositions for Non-Normal Data

CS01 - Teaching Statistics More Effectively to a New Generation of Students

Amelia McNamara Teaching Data Communication

CS03 - Open Source and Community

Karthik Ram What it takes to sustain an open source project

Mara Averick Sustainers of the Tidyverse

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

CS04 - Recent Developments in Lower Rank Learning for Complex Data

Jan Hannig Deep Fiducial Inference

CS05 - Scaling Up Machine Learning to Production

Amy Unruh 'ML Ops' and Productionizing Machine Learning Workflows

Erin LeDell Scalable Automatic Machine Learning with H2O

CS06 - Visual Storytelling

Alberto Cairo What You Design Is Not What People See

Matthew Brehmer The Design and Evaluation of Expressive Visualization Tools for Data-Driven Storytelling

Alberto Cairo What You Design Is Not What People See

CS07 - Reimagining & Introducing New Pedagogy

Tim Erickson What Can Data Science Look Like in High School?

Jingchen Hu Teaching Upper Level Statistics Courses through a Shared/Hybrid Model

Ted Laderas Clinical Data Wrangling: An Active and Didactic Learning Workshop

Brendan Patrick Purdy Data Science and the Pedagogical Reform of Introductory Statistics

CS09 - Project Jupyter

Lindsey J. Heagy Sharing Reproducible Computations on Binder

Chris Holdgraf Open Infrastructure in the Cloud with JupyterHub

CS10 - Data Science's X-Factor

John Laudun Data Science In/Among/With/Toward the Humanities

CS11 - Data Visualization in Python

Stephen F. Elston Introduction to Visualization with Python

Dominik Moritz Altair: Declarative Visualization in Python - Part 1

CS12 - Enterprise Applications of Data Science

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

CS13 - Computationally Intensive Methods: Resampling and MCMC

Christina Phan Knudson Gelman-Rubin: Improved Stability and a Principled Threshold

CS15 - Linguistic Diversity in NLP

Brandeis Hill Marshall Learning the Language of BlackTwitter

Rachael Tatman An Introduction to Computational Sociolinguistics

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

CS18 - Communication Within and Beyond the Modern Data Science/Statistics Classroom

Albert Y. Kim Using Slack for Communication and Collaboration in the Classroom

Alison Hill Using Blogdown to Connect Beyond the Classroom

CS19 - Statistical Modeling in Python

Kevin Ross Symbulate: Probability Simulations in Python

CS20 - Data Science Platforms: Spark

Michael Lawrence An R Interface to Hail

Navdeep Gill Interpretable Machine Learning Using rsparkling

Javier Luraschi Scaling Sparklyr with Streams and Arrow

CS21 - A Field Guide to Education Tools in Data Science

Adrienne Zell Necessity Is the Mother of Invention: Evolution of a Data Science Team

Kyle Gorman Using Unit Testing to Teach Data Science

Allison Sliter Data Presentation For Everyone: Simple Ways to Educate without Teaching

CS22 - Building and Growing Data Science Teams

Heather Nolis Together at Last: Heterogeneous Teams and the Key to Success

Mehar Singh Creating Effective Data Science Teams

CS25 - Software Packages for Data Science

Yujiao Mai An R Package for Linear Mediation Analysis with Complex Survey Data

Naim Al Mahi GREIN: An Interactive Web Platform for Re-Analyzing GEO RNA-Seq Data

CS27 - Data Science Platforms: Deep Learning

Joseph Kurata Bradley Deep Learning Models at Scale with Apache Spark

CS28 - Data Science Ethics Meet Reality

Meg Drouhard The Politics of Data

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

CS30 - Data Visualization Education

Michael Freeman Teaching Data Visualization: Integrating Theory and Practice

Jerzy Wieczorek A Three-Part Data Visualization Curriculum

CS32 - Statistical Methods for Analyzing Large Scale or Massive Data

John M. EnnisAn Application of Linear Programming to Computational Statistics

CS33 - Backend Data Science

James Blair Data Science with Databases and R

CS36 - Democratizing Data Science with Workflows

Michael I. Love Publishing Literate Programming Workflows in Scientific Journals

Tiffany Timbers When Should You Add Github, Make and Docker to Your Data Science Workflow?

Stephanie Hicks Useful Tools for Teaching and Outreach in Data Science: Workflows, Case Studies, Github Classroom, and Slack

CS38 - Engaging Students in Statistics & Data Science

Mikael Vejdemo-Johansson Competition Based Teaching of Machine Learning

Kelly Nicole Bodwin Tools for R in Introductory Statistics Courses

Daniela Huppenkothen Hack Weeks as a Model for Data Science Education and Collaboration

Todd Iverson Teaching Data Science Students to Write Clean Code

CS39 - Data and Society

Émilie Mayer Using Convolutional Neural Networks to Automatically Classify Logos on Shopping Receipts

CS40 - SAS Open-Source Platforms for Analytics

Wayne Thompson SAS Viya: A Modern Scalable and Open Platform for Artificial Intelligence

CS41 - Incorporating Ethics and Inclusion in Undergraduate Statistics Curriculum

Miles Q. Ott Ethics in an Advanced Undergraduate Seminar: Statistical Analysis of Social Network Data

Brianna Heggeseth Intertwining Data Ethics into Intro Stats

CS42 - Interoperability: Your R Package Can Depend on Its Friends

Matthew N. McCall Case Studies in Interoperability: From Generic Classes to Specific Functions

CS44 - Science and the Environment

Pranita Pramod Patil Extracting Signal from the Noisy Environment of an Ecosystem

CS45 - Change Point Detection

Kwadwo Agyei Nyantakyi Detection of Structural Changes in Correctly Specified and Misspecified Conditional Quantile Polynomial Distributed Lag (QPDL) Model Using Change-Point Analysis

Matthew A. Hawks Graph Theoretic Statistics for Change Detection and Localization in Multivariate Data

CS46 - Recent Advancements in Deep Learning

Alexander Greaves-Tunnell Statistical Evaluation of Long Memory in Recurrent Neural Networks

CS47 - Data Science for Fun

David Smith Minecraft, R, and Containers

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

CS48 - Recent Advances in Statistical Network Analysis

David Hunter Model-based clustering of large networks

Jeanette Kurian Birnbaum Statistical estimation of network models from egocentrically sampled network data

CS50 - Developing Statistical Software For Drug Development

Will Landau Reproducible Computation at Scale in R

CS51 - Machine Learning Problems in the Tech Industry

Mladen Kolar Machine Learning Methods for Estimation and Inference in Differential Networks

Akshay Krishnamurthy Online and Offline Experimentation in Complex Systems

CS52 - Grammar of Graphics: From Theory to Applications

Steven Drucker Unit Visualizations and the Grammar of Graphics

Claus Wilke ggplot2: An Extensible Platform for Publication-quality Graphics

CS54 - The IMS Program on Self-Consistency: a Fundamental Statistical Principle for Deriving Computational Algorithims

Xiao-Li Meng Likelihood-Free EM: Self-Consistency for Incomplete or Irregular-Pattern Data

Alex Tsodikov Self-Consistency as a Method to Develop Computationally Effective Algorithms for High-Dimensional Models

CS56 - Data for Human Health

Fan Jiang Multiple-target Robust Design of a Coronary Stent with Multiple Functional Outputs

CS57 - Visualization Methods

Zehao Xu Interactive Ggplots in R

Maia P Smith Visualizing associations of multiple related but distinct phenomena

Alyssa Ylescupidez Data visualization techniques for the analysis of eczema-affected specific regions of the body as predictors of food allergy risk

CS59 - Data Science Platforms: Docker and Kubernetes

Colin Wiiter Rundel Using Rocker Containers and CI for Teaching R-Based Courses

Jim Harner RsparkHub: Scaling Rspark with Kubernetes

CS60 - Expanding the Toolkit for Teaching Statistics

Brian Kim Teaching Data Science Using Jupyter Notebooks and Binder