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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/06/applications-earl-sf-2017.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>The Mango team held their first instance of the <a rel="nofollow" href="https://earlconf.com/sanfrancisco/" target="_blank">EARL conference series in San Francisco</a> last month, and it was a fantastic showcase of real-world applications of R. This was a smaller version of the EARL conferences in London and Boston, but with that came the opportunity to interact with R users from industry in a more intimate setting. Hopefully Mango will return to the venue again next year, and if so I'll definitely be back!</p>
<p>As always with EARL events, the program featured many interesting presentations of how R is used to implement a data-driven (or data-informed) policy at companies around the world. With a dual-track program I couldn't attend all of the talks, but here are some of the applications that caught my interest:</p>
<ul>
<li><strong>Ricardo Bion (AirBnB)</strong>: An keynote with an update on data science practice at AirBnB: <a rel="nofollow" href="https://techcrunch.com/2017/05/24/airbnb-is-running-its-own-internal-university-to-teach-data-science/" target="_blank">training for everybody</a>, the <a rel="nofollow" href="http://blog.revolutionanalytics.com/2016/11/airbnb-growth.html" target="_blank">Knowledge Repository</a>, trends in <a rel="nofollow" href="https://twitter.com/revodavid/status/872136854987878400" target="_blank">Python and R usage</a>, and even a version of the <a rel="nofollow" href="https://twitter.com/hspter/status/872144573035814912" target="_blank">AirBnB app implemented in Shiny</a>!</li>
<li><strong>Hilary Parker (Stitchfix)</strong>: A wonderful keynote on bringing principles of engineering (and in particular blameless post-mortems) to data science (<a rel="nofollow" href="https://www.slideshare.net/hilaryparker/opinionated-analysis-development-earl-sf-keynote" target="_blank">slides</a>)</li>
<li><strong>Prakhar Mehrotra (Uber)</strong>: Using R to forecast demand and usage (sadly no slides, but here's <a rel="nofollow" href="https://twitter.com/revodavid/status/872487697247477760" target="_blank">R charting Uber traffic data</a>)</li>
<li><strong>David Croushore (Pandora)</strong>: Using R and Shiny to monitor and forecast demand by users for different music services (<a rel="nofollow" href="https://earlconf.com/downloads/sanfrancisco/presentations/earl2017_-_staying_on_top_of_the_beat_-_david_croushore.pdf" target="_blank">slides</a>).</li>
<li><strong>David Bishop (Hitachi Solutions)</strong>. Using R in the clean energy industry, with a nice demo of a Power BI dashboard to predict wind turbine anomalies, and even visualize the turbines with HoloLens (<a rel="nofollow" href="https://earlconf.com/downloads/sanfrancisco/presentations/earl2017_-_using_r_in_the_clean_energy_industry_-_david_bishop.pdf" target="_blank">slides</a>)</li>
<li><strong>Tyler Cole (Amgen)</strong>. Using R packages and Microsoft R Server for clinical trial submissions to the FDA (<a rel="nofollow" href="https://earlconf.com/downloads/sanfrancisco/presentations/earl2017_-_pioneering_r_for_clinical_development_at_amgen_-_tyler_cole.pdf" target="_blank">slides</a>)</li>
<li><strong>Luke Fostvedt (Pfizer)</strong>. How R and R packages are used at various stages of the drug development process at Pfizer (<a rel="nofollow" href="https://earlconf.com/downloads/sanfrancisco/presentations/earl2017_-_polyamorous_relationship_with_r_-_luke_fostvedt.pdf" target="_blank">slides</a>)</li>
<li><strong>Gabriel Becker (Genentech)</strong>. Processes and R packages used at Genentech to manage the various tradeoffs for reproducibility in a multi-collaborator environment (<a rel="nofollow" href="https://earlconf.com/downloads/sanfrancisco/presentations/earl2017_-_enhancing_reproducibility_comparability_and_discoverability_of_results_-_gabriel_becker.pdf" target="_blank">slides</a>)</li>
<li><strong>Shad Thomas (Glass Box Research)</strong>: Using R and Shiny for segmentation analysis in market research (<a rel="nofollow" href="https://earlconf.com/downloads/sanfrancisco/presentations/earl2017_-_visual_representations_of_market_segmentation_-_shad_thomas.pdf" target="_blank">slides</a>)</li>
<li><strong>Aaron Hamming (ProAssurance)</strong>: Using R to combat the opioid epidemic by identifying suspect prescribers (<a rel="nofollow" href="https://earlconf.com/downloads/sanfrancisco/presentations/earl2017_-_using_data_to_identify_risky_prescribing_habits_in_physicians_-_aaron_hamming.pdf" target="_blank">slides</a>)</li>
<li><strong>Eduardo Ariño de la Rubia (Domino Data Lab)</strong>: Using R from APIs including Rook, Rapache, Plumbr, OpenCPU and Domino (slides forthcoming)</li>
<li><strong>Madhura Raju (Microsoft)</strong>. Using R to detect distributed denial-of-service attacks (<a rel="nofollow" href="https://earlconf.com/downloads/sanfrancisco/presentations/earl2017_-_identifying_potential_ddos_-_madhura_raju.pdf" target="_blank">slides</a>)</li>
<li>Slides from my own presentation, <a rel="nofollow" href="https://earlconf.com/downloads/sanfrancisco/presentations/earl2017_-_predicting_hospital_length_of_stay_-_david_smith.pdf" target="_blank">Predicting patient length-of-stay in hospitals</a>, are available too.</li>
</ul>
<p>There are many more interesting presentations to browse at the EARL San Francisco website. Just click on the presenter name to see the talk description and a link to slides (where available).</p>
<p>EARL Conference: <a rel="nofollow" href="https://earlconf.com/sanfrancisco/#speakersAnchor" target="_blank">San Francisco 2017</a></p>
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