Founded by Josh Reich and Drew Conway, the New York Open Statistical Programming Meetup started as the New York R Meetup with a handful of people in an office at Union Square Ventures. Since then it has grown to over 8,000 members and has been hosted at NYU, Columbia, AOL, iHeartRadio, eBay, Work-Bench and other locations.

Our mission is to spread knowledge of statistical programming techniques in open-source languages such as R, Python, Julia and Go, and data science in general. Another important aspect is community building and socializing. The meetups start with pizza, followed by a 45-90 minute talk, ending with a trip to the local bar.


To attend please visit the meetup page.

Presentations and Videos

Whenever possible we make presentations available at the Presentations page.

We now stream and host videos of meetups on Facebook and YouTube and older videos are scattered on a variety of services. They are also listed on the Presentations page.


Job openings and other announcements are on the meetup discussion board.

Upcoming Meetup

Optimizing Personalized Driver Incentives using R and More

January 24, 2018 06:15:00 PM

We kick off the new year with two data scientists from Via discussing how to optimize driver incentives.

Thank you to eBay NYC for hosting us.

About the Talk:

The ridesharing industry depends heavily on dynamic incentives on both the rider and driver side. We’ll present Via’s methodology for addressing the driver incentive side. Offering drivers personalized promotions to get them to work exactly when we need them requires a combination of a couple of different components, each of which is complex on its own:

• Predicting how each driver responds to each promotion

• Selecting the appropriate promo for each driver to hit attendance targets at the lowest cost

We’ll go over why predicting how drivers respond to monetary incentives is a complex problem, and the active academic research on the topic. We’ll then explain the different models we built and how we selected an appropriate model, and how we tied the models to an optimization module to make promo recommendations on an ongoing basis.

About the Speakers:

Aleks Sinayev is a data scientist at Via Transportation working on building datasets and models used to describe and predict driver behavior as well as designing and analyzing experiments. He holds a PhD in Quantitative Psychology which informs his work at Via.

Saar Golde is the Chief Data Scientist at Via, a long-time member of the R meetup group and previous speaker at both the meetup and R Conference. He holds a Ph.D in Economics from Stanford and a Masters in Decisions and Operations Research, both of which come in handy at least twice a week.


 begins at 6:30, the talk starts at 7, then after we head to the local bar.


The nyhackr website was built as a RMarkdown website and the source code can accessed by the community on GitHub.

How to contribute

If you wish to contribute to the website the process is pretty simple.

  1. Fork and clone the repository (an example can be found here)
  2. Create a new branch for your changes (warning, this step cannot be done in RStudio!)
  3. Make your changes. You can build and view your local version by using rmarkdown::render_site()
  4. When you are done, submit a pull request. Your changes might not appear on the public site right away as we have a development version for making sure changes don't break the site.