The version of the browser you are using is no longer supported. Please upgrade to a supported browser.Dismiss

Call for Speakers: Data Science Popup [SF, NYC, Chicago, Dallas]
If you want to build your data science brand or promote your data science program, this is a great opportunity to get in front of hundreds of data science practitioners. Domino’s Data Science Pop-ups bring together a broad range of data scientists and ML researchers from the region and nationally. We’re always looking for speakers.

Data Science Pop-up is a one day conference with two tracks and several types of presentations:

➟30 minute general presentations from thought leaders about best practices and the state of data science.
➟45 minute* technical “how-to” workshops about specific types of quantitative research.
➟20 minute lightning talks from data science practitioners about interesting aspects of the work they’re doing.

Workshops can take up to 2 hours*

EVENT DETAILS:

San Fransisco in February 22, 2017
Theme: Data Science Applications in Technology. The deadline to apply is December 31st.

New York City in May 31st, 2017
Theme: Data Science Applications in Finance & Technology. The deadline to apply is March 15th.

Chicago in September 13th, 2017
Theme: Data Science Applications in Insurance. The deadline to apply is July15th.

Dallas in November, 2017
Theme: General Data Science Applications . The deadline to apply is August 31st.

Which Data Science Popup are you interested in speaking at?
Required
Full Name
Your answer
Job Title
Your answer
Company or University Website
Your answer
Email
Your answer
Contact Phone
Your answer
Abstract Title
Your answer
Abstract
Your abstract should be 150-250 words in length
Your answer
What type of a talk are you presenting?
Twitter Handle
Your answer
Your Professional Biography
Your answer
Is your company interested in sponsoring Data pop-up(s)?
Submit
Never submit passwords through Google Forms.
This form was created inside of Domino Data Lab. Report Abuse - Terms of Service - Additional Terms