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Tom Hay

ConsenSys
Academy Director
Washington, DC

https://consensys.net/academy/

I'm Director of ConsenSys Academy. We build educational products to teach about the blockchain. Former Director of Data Strategy @ Uplift Education, former Associate @ Booz Allen Hamilton. SDP Alumni - Cohort 6.

8:00am PDT

Registration check-in McCaw Hall

9:00am PDT

Machine Learning Algorithmic Deep Dive (Part 1) Campbell Rehearsal Hall

10:30am PDT

Machine Learning Algorithmic Deep Dive (Part 2) Campbell Rehearsal Hall

1:00pm PDT

Effective Shiny Programming (Part 1) McCaw Hall

2:30pm PDT

Effective Shiny Programming (Part 2) McCaw Hall

8:30am PDT

Opening Session McCaw Hall

9:00am PDT

Forty years of S McCaw Hall

10:30am PDT

bamdit: An R Package for Bayesian meta-analysis of diagnostic test data Barnes & McDowell & Cranston

10:48am PDT

Implementing R in old economy companies: From proof-of-concept to production Econ 140

11:06am PDT

R: The last line of defense against bad debt Econ 140

11:24am PDT

Automating our work away: One consulting firm's experience with KnitR Econ 140

11:42am PDT

jailbreakr: Get out of Excel, free McCaw Hall

1:00pm PDT

Continuous Integration and Teaching Statistical Computing with R SIEPR 130

1:18pm PDT

Transforming a museum to be data-driven using R McCaw Hall

1:36pm PDT

Introducing Statistics with intRo SIEPR 130

1:54pm PDT

A first-year undergraduate data science course SIEPR 130

2:12pm PDT

FiveThirtyEight's data journalism workflow with R McCaw Hall

2:30pm PDT

Bridging the Data Visualization to Digital Humanities gap: Introducing the Interactive Text Mining Suite Sponsor Pavilion

3:30pm PDT

Literate Programming McCaw Hall

4:45pm PDT

R at Microsoft McCaw Hall

5:03pm PDT

New Paradigms In Shiny App Development: Designer + Data Scientist Pairing Lane & Lyons & Lodato

5:21pm PDT

Data validation infrastructure: the validate package Barnes & McDowell & Cranston

5:39pm PDT

RServer: Operationalizing R at Electronic Arts Barnes & McDowell & Cranston

5:57pm PDT

Rectools: An Advanced Recommender System SIEPR 130

6:30pm PDT

Welcome Reception Bing Concert Hall

9:00am PDT

Towards a grammar of interactive graphics McCaw Hall

10:30am PDT

Importing modern data into R SIEPR 130

10:48am PDT

Size of Datasets for Analytics and Implications for R Econ 140

11:06am PDT

On the emergence of R as a platform for emergency outbreak response McCaw Hall

11:24am PDT

Heatmaps in R: Overview and best practices Barnes & McDowell & Cranston

11:42am PDT

Exploring the R / SQL boundary SIEPR 130

1:00pm PDT

R at Google Lane & Lyons & Lodato

1:18pm PDT

A Lap Around R Tools for Visual Studio McCaw Hall

1:36pm PDT

Adding R, Jupyter and Spark to the toolset for understanding the complex computing systems at CERN's Large Hadron Collider McCaw Hall Revisiting the Boston data set (Harrison and Rubinfeld, 1978) SIEPR 120

1:54pm PDT

Spatial data in R: simple features and future perspectives SIEPR 120

2:12pm PDT

Providing Digital Provenance: from Modeling through Production Barnes & McDowell & Cranston

2:30pm PDT

Data Quality Profiling - The First Step with New Data Sponsor Pavilion

3:30pm PDT

Flexible and Interpretable Regression Using Convex Penalties McCaw Hall

9:00am PDT

Statistical Thinking in a Data Science Course McCaw Hall

10:30am PDT

Data Landscapes: a pragmatic and philosophical visualisation of the sustainable urban landscape SIEPR 130

10:48am PDT

Practical tools for exploratory web graphics SIEPR 130

11:06am PDT

Using Shiny for Formative Assessments Barnes & McDowell & Cranston

11:24am PDT

Revolutionize how you teach and blog: add interactivity Barnes & McDowell & Cranston

11:42am PDT

Using Jupyter notebooks with R in the classroom Barnes & McDowell & Cranston

1:00pm PDT

Catching up with Rstudio Lane & Lyons & Lodato

1:25pm PDT

Two Cultures: From Stata to R McCaw Hall

1:35pm PDT

Scalable Machine Learning in R with H2O Lane & Lyons & Lodato

2:00pm PDT

RCloud - Collaborative Environment for Visualization and Big Data Analytics McCaw Hall