Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remote online session:

• New York City
• San Francisco Bay Area
• Boston
• Washington, DC.

Dates: All sections will be from 2019-09-16 to 2019-11-08.

Application Link: https://www.thedataincubator.com/fellowship.html#apply?ref=wY2hlbWFkbUBvcmVnb25zdGF0ZS5lZHUK

Early Deadline: 2019-07-08.
Regular Deadline: 2019-07-15.
We are assessing and interviewing candidates who apply for the Early Deadline first and then based on remaining availability, will take candidates who applied for the Regular Deadline on a first-come first-serve basis.

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.

Project Summary – 1 page

Following NSF instructions – Each proposal must have a summary of the proposed project not more than one page in length. The Project Summary should be:

• Written in the third person, informative to other persons working in the same or related fields, and, insofar as possible, understandable to a scientifically or technically literate lay reader. It should not be an abstract of the proposal.

The Project Summary consists of three sections:

(1) Overview

The first sentence must identify the AISL project type: Pilots and Feasibility Studies, Research in Service to Practice, Innovations in Development, Broad Implementation, or Conferences, Literature Reviews, Syntheses, or Meta-analyses, or Conferences. For Literature Reviews, Syntheses, or Meta-analyses, indicate which kind is being proposed.

The Overview includes a description of the activity that will result if the proposal is funded and a statement of objectives and methods to be employed.

(2) Intellectual Merit: a statement on the intellectual merit of the proposed activity

The statement on intellectual merit should describe the potential of the proposed activity to advance knowledge building.

(3) Broader Impacts: a statement on the broader impacts of the proposed activity.

The statement on broader impacts should describe the potential of the proposed activity to benefit society and contribute to the achievement of specific, desired societal outcomes.

The AISL priorities (e.g., strategic impact, knowledge building, innovation, collaboration, infrastructure and capacity building, and broadening participation) may be a part of either Intellectual Merit, Broader Impacts, or both.

Some of you may have noticed that there has been a change to the blog.  Don’t worry, I didn’t do this to confuse anyone.  I received notice that our current theme would no longer be supported due to apparent security concerns and that if I didn’t change it, the blog would be archived.  So, in order to keep your inboxes clear of at least some of the SPAM, we went ahead and made the required changes.  You’ll still get your weekly email, and any other notifications you’ve signed up for, it’ll just look a little different.  Sorry for the disruption in your normal.

Luanne