Deadline: Jan 31st, 2020
Deadline: Jan 31, 2020
Deadline: Jan 31, 2020
DSSG (at Carnegie Mellon University in Pittsburgh) will begin June 1st, 2020 and end August 21st, 2020
The Fellowship is a project-based training program designed to produce data scientists with strong skills in solving real-world problems and an understanding, excitement, and passion for solving problems with social impact. We have three goals (prioritized in that order):
- Training Fellows: We want to help create the next generation of data scientists who have the data science skills to solve real-world problems and are passionate about focusing their efforts on solving social challenges.
- Exposing and training governments and non profits to better use data to make better decisions.
- Community: Seeding a community of people and organizations working together to make an impact.
Collaborative, Creative, and Inclusive. We know we don’t know everything and want everyone involved to shape the Fellowship. We’re open to ideas, criticism, and help. Yes, we are data-driven but more than that, we’re problem-driven. We care about impact and how our work is used to improve society.
Most of the summer, Fellows work with their team on their project. We augment that with lectures, hands-on workshops, seminars (from local and visiting guests), happy hours (with the local tech, data science, non-profit, and government communities), meet-ups, field trips, and other social activities (sailing trips, tours, concerts, etc.). Some of these are planned in advance, others are co-created and led by the Fellows and mentors as they learn about what they would like to do over the summer.
We try to balance getting things done with learning and training. We believe that the best way to learn is by doing, and the fellows who join us want to make an impact by solving the problem they’re tackling.
DSSG 2020 will take place at Carnegie Mellon University in Pittsburgh, PA
Links to the applications for the 2020 program is at the top of this page
There is no single profile for an ideal fellow. Successful Fellows have different skill profiles and backgrounds in order to create a collaborative community. Everyone has some programming, statistics and data analysis skills in addition to a passion for making social impact. Some are stronger at Computer Science and Machine Learning. Others have a strong Applied Math or Statistics background. Some come from a quantitative Social Science, Economics, or Public Policy background. Others have Physics or Chemistry or Geography or Linguistics degrees. We’re not expecting you to be awesome at everything. Tell us what you’re good at and what you’d like to learn. In addition, personality and communication skills matter! If you’re passionate about a cause or social issue, tell us about it in your application. If there’s a recent project you’ve done that you’re proud of, we’d like to hear about it.
Although we’d love to have people at all levels involved, we prefer you to be a graduate student or at least a senior in college to get the most out of this program. This is because we have learned over the years that fellows with prior skills are able to both get the most out of their experience, as well as contribute the most. That said, if you feel like you may not fit the typical criteria of a Fellow, but have both the computational skills and passion to excel, we’d still love to see your application.
Typically, we get 600-1000 applications for 24-40 positions
Your recommenders should be the two people who know you and your work best. This can be your advisor or professor, or your work/research manager. It is not necessary that they are faculty members at your university, but we recommend getting letters from people that can comment on your academic background, practical skills in data science, your ability to communicate and collaborate effectively, and your passion for social impact.
If necessary, yes. Please do the following:
1) Send the link to the new reference.
2) Send us the name of, contact info of, and your relation to the new reference at dssguchicago at gmail dot com.
3) Send us the name and contact info of the reference you’d like to remove at dssguchicago at gmail dot com.
We’d rather you give us a few project ideas than one detailed, specific, project proposal. We can then work with you to better understand the potential projects to select the one that best fits the fellowship.
Fellow applications close at midnight in the latest timezone on earth.
Any recommendations submitted after the deadline will be added to your application, but reviewers can only take into account information available to them at the time of review so we highly recommend you ensure your recommendations are in before the deadline.
We will communicate your application status in several emails leading up to the application deadline to inform you whether we are still missing parts of the application or recommendations.
Once the application deadline has passed, we review applications using a rolling process. The review period is an extremely busy time for us, which is why we cannot respond to requests on the status of individual applications. Please see the question below for details when you can expect a response.
Once applications close the 31st of January, we will start the rolling review process aiming for the following dates.
- First week of February: initial review round starts
- Last week of February: review round completed, all applicants moved to interview round or notified
- Mid February to mid March: interviews
- Late March: decision emails sent out (acceptances, places on the waiting list, or rejections)
- First week of April: final Fellow group confirmed
No, not at all! We love CS geeks but in order to solve high impact problems, we need teams with a broad set of skills. We want people from all kinds of backgrounds including sociology, economics, public policy, public health, geography, physics, and chemistry. However, we do want you to have experience with programming, data analysis and a passion for making social impact. That means that applicants should have had some prior experience using a programming language (such as Python) to analyze data
Yes. And yes.
Not necessarily but this is designed for current student or recent graduates. If you have finished a degree (undergrad, Masters, PhD) in the past couple of years, you should be ok to apply. We’ve had post-docs, as well as people in industry (recent graduates), and people in between undergrad and gradschool come as fellows in previous years.
No, you don’t have to be a US citizen to apply. We have sponsored J-1 visas (for those outside the US) in the past as well as had F-1 students already in the US use CPT to be part of the fellowship.
We can’t provide funds for visa applications but can definitely send a supporting letter if required.
Yes, the fellowship is paid. The stipends are fixed but vary by the cost of living of the fellowship location
While budgeting for the program, please keep in mind that the stipend qualifies as taxable income. Due to our large number of international fellows, we cannot advise on the tax implications related to the stipend. We recommend consulting with a lawyer for tax-related questions/concerns.
We are working on organizing housing for 2020. Please check back later.
No. We can make some exceptions for up to 2 days off during the summer (for critical cases), but spending a week away from the work is not fair to the other fellows on your team. If you need to be away for a week during the summer, this may not be the summer for you to participate in DSSG. In addition, everyone must be in attendance for the entire first week and last week of the fellowship.
Partially. We spend the months leading up the Fellowship designing projects with project partners. Once the Fellows are selected, we will send you a list of these projects and ask you to give us your preferences. We’ll then use these preferences and the needs of the projects to create project teams.
You can see past projects from last year here. Projects will be in partnership with government and non profit organizations and will be in areas of education, healthcare, energy, community development, disaster relief, and public safety.
A lot of the project teams end up writing papers but that’s not the goal of the summer fellowship. We encourage people to do good work with real impact and the paper is often a by-product of that good work
An ideal mentor has a strong technical background, typically PhD (in Data Science, Computer Science, Statistics, Social Science, or Public Policy) and 5+ years of industry experience. We want mentors to have real-world problem solving experience as well as experience in leading teams and working with students and industry partners.
In the past years, we’ve had a mix of successful mentors from Industry and Academia (with practical, real-world experience) with PhDs in Computer Science, Machine Learning, Statistics, Social Science, Economics, and Physics.
See more details on mentors.
Our priority is to have full-time mentors. These are paid, full-time positions. If you want to help in a part-time capacity, please contact us separately to see how we can get you involved.
Yes, full-time mentors are paid positions.
Mentors are a critical component of the Fellowship. Each mentor leads (typically two) teams of Fellows and serves as a project lead and technical adviser. Mentors also help us design the activities over the summer and are an integral part of the organizing team.