Why we went from DCR to R|Gov

We are so excited to bring back the fourth annual Government and Public Sector R Conference to a computer screen near you! Join us on December 9th and 10th for a jam-packed two-day conference filled with an incredible lineup of speakers across the government and public sector space.

Buy your tickets here! 

Over the two day, you will hear talks from, to name them ALL; Alex Gold (RStudio), Wendy Martinez (Bureau of Labor Statistics), Marck Vaisman (Microsoft), Brooke Frye (NYC Council), Asmae Toumi (PursueCare), Tommy Jones (In-Q-Tel), Jordan Jasuta Fischer (IBM), Aaron Mannes (Department of Homeland Security), Benjamin Braun (202 Group), Mayari Montes de Oca (formerly NYU Global TIES for Children), Cezary Podkul (ProPublica), Sydney Coston (US Military Academy), Abhijit Dasgupta (Georgetown University), Vivian Peng (City of LA), Boriana Pratt (Princeton University), Madhava Jay (OpenMined), Lauren Lombardo (Harvard University), Jasmine Han (Bloomberg Industry Group), David Shor (Blue Rose Research), Jorge Luna (Aetna), Coline Zeballos (Roche Pharma), Surabhi Hodigere (Harvard University)…and myself, Jared Lander (Lander Analytics).

We even have a full day of workshops held the day before the conference (on Wednesday December 8th), also virtually online!

• Understanding Climate Change Data with Alexandra Boghosian
• Introduction to Machine Learning for Public Policy with Jonathan Hersh

Alexandra, one of my former students, plans to take you through data analysis on climate change, by exploring publicly available datasets that you may or may not have known about. As Alexandra describes it, “by the end of the day, attendees should have a working knowledge of how the data support the science, and where to gather data and information about specific climate change issues they may face in their work.”

If a workshop on climate change is not right for you, my close friend Jonathan Hersh is giving his workshop on machine learning for public policy. Jonathan will lead you through applied machine learning exercises with a focus on the public space. The session will cover basic concepts like supervised vs. unsupervised learning, testing and training sets, and the bias-variance tradeoff. Jonathan will also review linear regression, ridge regression, cross-validation, and lasso regression. He will cover R Language and syntax, data manipulation in R, exploratory data analysis, and basic plotting in R.

I would like to extend a special thank you to my good friend, Marck Vaisman and the Data Community DC. This conference would not be possible without your continued support. And I thank you, Marck, for our close friendship over the years. It has been incredible to witness the growth of the meetup community right alongside you.

I would also like to thank the Georgetown Master’s program in data science & analytics for sponsoring our virtual event, and for hosting us at previous R Gov events.

The additional support of RStudio, PolicyViz, the R Consortium and Pearson goes a long way to making this conference such an informative and fun event.

To learn more about our speaker lineup, workshops, agenda and sponsors visit rstats.ai and landeranalytics.com. Also, don’t forget to follow us on Twitter at @rstatsai and @landeranalytics. And finally, if you are interested in being a sponsor, please contact us!

Jared Lander is the Chief Data Scientist of Lander Analytics a New York data science firm, Adjunct Professor at Columbia University, Organizer of the New York Open Statistical Programming meetup and the New York and Washington DC R Conferences and author of R for Everyone.