EARL2015 Conference, Boston – Full Agenda Announced

Mango Solutions

7 years ago

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By Liz Matthews, Marketing and Events UK

We are delighted to announce the full agenda for the EARL2015 Conference which takes place at the Microsoft NERD Center in Boston in November. The conference will feature :

4 pre-conference workshops
4 Keynote Presentations
38 Presentations from leading R and industry practitioners
2 Evening Events

Earlybird tickets are only available until 5pm (US Eastern Time) on Friday 17th July and can be purchased here

Keynote Speakers:

David Smith, Principal Program Manager at Microsoft
Garrett Grolemund, Data Scientist at RStudio, Inc.
John K Thompson, General Manager – Advanced Analytics, Dell
Richard Pugh, Chief Data Scientist, Mango Solutions

Monday 2^nd November – Workshops, Registration and Welcome Network Reception

0900-1000 hrs	Registration and Morning Tea/Coffee
1000-1130 hrs	WORKSHOP 1: Introduction to Rcpp by Dirk Eddelbuettel Sampson/Paul Suite	WORKSHOP 2: Current Best Practices in Formal Package Development by Aimee Gott and Doug Ashton, Mango Solutions Horace/Mann Suite
1130-1145 hrs	Morning Break – Tea/Coffee served
1145-1300 hrs	Workshop 1 continued	Workshop 2 continued
1300-1400 hrs	Registration and Afternoon Tea/Coffee
1400-1530 hrs	WORKSHOP 3: Getting Started with Spark and R by Mark Sellors, Mango Solutions Sampson/Paul Suite	WORKSHOP 4: Interactive Reporting with R Markdown and Shiny by Garrett Grolemund Horace/Mann Suite
1530-1600 hrs	Afternoon Break – Tea/Coffee
1600-1700 hrs	Workshop 3 continued	Workshop 4 continued
1800-1900 hrs	Registration in the NERD Center
1900 until late	Welcome Evening Drinks and Network Reception. Sponsored by: Horace/Mann Suite

Tuesday 3^rd November – Day 1 – NERD Suites

0830-0900 hrs	Registration and Arrival Tea/Coffee
0900-0910 hrs	Opening and Welcome Richard Pugh and Matt Aldridge, Mango Solutions
0910-0955 hrs	Opening Keynote 1 David Smith, Microsoft (Revolution Analytics)
0955-1040 hrs	Opening Keynote 2 John Thompson, Dell
1040-1100 hrs	Mid-Morning Refreshments Tea/Coffee
	STREAM 2 – Sampson/Paul Suite	STREAM 1 – Horace/Mann Suite
1100-1230 hrs	Session 3 – Modelling R in Market Research – Handling ‘Wide’ (not big) Data by Shad Thomas, Glass Box Research Heuristic Methods for Real World Optimization by Brandon Bass, Altenex LLC Solutions How to do Survival Analysis of Health Data in R by Monika Wahi, DethWench Professional Services	Session 2 – Applications fbRads; Analyzing and Managing Facebook Ads from R by Gergely Daroczi, CARD.com Managing R with ValidR Enterprise by Andy Nichols, Mango Solutions Yelling FIRE in a Crowded Theatre by Dan Henebery
1230-1330 hrs	Lunch
1330-1500 hrs	Session 5 – Visualization Predictive Models for Neglected Disease Drug Discovery: Built with R/Shared using Shiny by Paul Kowalczyk, Syngenta Biotechnology, Inc HiDAP: High Throughput Data Analysis Platform for Agricultural Research by Omar Eduardo Benites Alfaro, International Potato Center Visualization and Sensitivity Analysis of PK/PD Models in R by Yan Li, Celgene	Session 4 – Business Challenges Revenue Cycle Acceleration via Azure Machine Learning by Danielle Dean, Microsoft Vectorisation Needed: Analysing Traffic to a Top 10 Website with R by Oliver Keyes, Wikimedia Foundation Using R to Model Multi-Billion Dollar Mortgage Assets by Richard Pugh, Mango Solutions
1500-1530 hrs	Afternoon Refreshments Tea/Coffee
1530-1700 hrs	Session 7 – Workflow Utilizing R-Shiny Server to Project IP and Disseminate Knowledge in a Global Organisation by Michael Conklin, GFK Using Shinydashboards and dplyr to Real-Time Manufacturing Operational Analytics by Eduardo Arino de la Rubia Creating Rich Analytic Presentations with the RCloud Framework by Doug Ashton, Mango Solutions	Session 6 – Visualization Rapidly Visualizing Scientific Data Optimized by Applications of R by Clive Higgins, Exaptive R and Tableau: Data Science at the Speed of Thought by Tara Walker, Tableau Software Mapping Census Data in R by Ari Lamstein
1930-2330 hrs	Conference Evening Reception at the Boston Science Museum

Wednesday 4^th November – Day 2 – NERD Suites

0830-0900 hrs	Registration and Arrival Tea/Coffee
0900-0950 hrs	Day 2 Opening Keynote 1 Richard Pugh, Mango Solutions
0950-1040 hrs	Day 2 Opening Keynote 2 Garrett Grolemund, RStudio
1040-1100 hrs	Mid-Morning Refreshments Tea/Coffee
	STREAM 2 – Sampson/Paul Suite	STREAM 1 – Horace/Mann Suite
1100-1230 hrs	Session 9 – Big Data From Data to Decision Making: A Behind the Scenes Look at Building The Most Respected Report in Information Security by Bob Rudis, Verizon New Possibilities with Spark and R by Vincent Warmerham, GoDataDriven Identifying Key Opinion Leaders in Oncology Using R for Data Analytics and Visualization by Dag Holmboe, Kurig Analytics	Session 8 – Modelling Measuring Brand Ad Effectiveness by Tim Hesterberg, Google Performance Attribution for Equity Portfolios by Yang Lu, Hutchin Hill Capital Using R and Bioconductor in Cancer Genetics and Precision Medicine by Aedin CulhaneDana-Farber Cancer Institute and Harvard TH Chan School of Public Health
1230-1330 hrs	Lunch
1330-1500 hrs	Session 11 – Business Challenges Quantitative Portfolio Management with High Frequency Data by Jerzy Pawlowski, NYU Polytechnic School of Engineering Garbage In, Garbage Out – Automating Data Quality by Robert Weyrauch Is the customer always right? Yes, but some are more right than others by Josiah Davies	Session 10 – Applications plumbr – An R package to trivially convert existing R code into web-accessible APIs by Jeff Allen, RStudio Data Science Workbench for Integrated, Collaborative Analytics by Mark Sellors, Mango Solutions AMP, Automated Monitoring of Phase 1 Studies by William S. Denney, Pfizer
1500-1530 hrs	Afternoon Refreshments Tea/Coffee
1530-1730 hrs	Session 13 – Commercial Applications Collaborative Data Science by Chris Parmer, Plotly Deploying predictive models as APIs by Nick Elprin, Domino Data Labs Predicting Student Success at Scale: APIs and DSLs for Building and Integrating Many Models by Harlan Harris, Educational Advisory Board Sharing data between R and non-R users by Aimee Gott, Mango Solutions	Session 12 – Big Data and Performance Taking R to New Levels of Scalability and Performance by Mark Hornick, Oracle Integration of Distributed R and Vertica: A Powerful Setting for Big Data Analytics by Arash Fard, HP Using R to Predict Financial Scores with Big Data Technologies in Emerging Markets by Quiyan Xu, Cignifi Recent Rcpp Developments by Dirk Eddelbuettel
1730-1745 hrs	Conference Closing Remarks – Matt Aldridge and Richard Pugh, Mango Solutions

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Monday 2nd November – Workshops, Registration and Welcome Network Reception

Tuesday 3rd November – Day 1 – NERD Suites

Wednesday 4th November – Day 2 – NERD Suites

Monday 2^nd November – Workshops, Registration and Welcome Network Reception

Tuesday 3^rd November – Day 1 – NERD Suites

Wednesday 4^th November – Day 2 – NERD Suites