Funded trainees (fellows) must be U.S. citizens, nationals, or permanent residents.
The ideal time to become a fellow is around the time you advance to candidacy(the year before you advance, or the year just afterward). This is because you need
to succeed in your primary PhD program, as well as your NRT-related activities. Trainees
eligible for funding will receive one year of funding and can apply for a second year
by presenting their accomplishments from year one.
Funded trainees (fellows) must be U.S. citizens, nationals, or permanent residents
in order to receive the funding of $34K per year from NSF. However, all, whether domestic
or international, are eligible for travel grants.
Currently enrolled in a PhD program in one or more of the participating departments (Africana Studies, Applied Mathematics & Statistics, Computer Science, Economics,
Linguistics, Neurobiology & Behavior, Political Science, Psychology, and Sociology)
Remain in good standing in home PhD program (minimum GPA of 3.0)
Participate/enroll in at least 2 Research Practica (0-3 credits; to be taken over the course of the traineeship)
Participate/enroll in courses that may lead to a graduate certificate (focus selection)
Contribute to yearly evaluations (required by NSF, the funding agency) that will involve
responding to occasional surveys, interview requests, and calls for research highlights
Participate in NRT-related, community building activites
Remain involved with the project until graduation
As an international student trainee, you will be eligible for travel funds for research
presentations, and assistance and guidance with (optional) internships. In the research
practica, you will collaborate across disciplines on projects that may lead to publication
and strengthen your teamwork skills. If you are a human-centered scientist, you will
be able to take courses to hone your data science skills and add techniques such as
ML (machine learning) to your toolkit. If you take the bridge courses, you can efficiently
gain foundational knowledge to prepare for success in Computer Science graduate courses.
If you are already a data scientist, applied mathematician, or computer scientist,
you will learn about quantitative and qualitative methods from the social sciences,
as well as apply your data science skills to human-centered applications. All trainees
will learn to detect bias in their research projects and contexts of application.
This kind of interdisciplinary knowledge can lead to greater job prospects and awareness
of different career paths.
Three research practicum topics will be offered 2-3 times each during the course of
this program as Special Topics seminars. As a trainee, you will enroll in at least
two practica, where you will gain basic knowledge about current topics related to
bias, conduct research with faculty and trainees from other disciplines, engage in
collaboration, and present your work. The three rotating topics are: Bias in Data, Bias in Humans, and Bias in Institutions. These are expected to be collaborative and supportive settings, where trainees and
faculty alike will have the opportunity to learn from one another. Click here for more info about the research practica!
Yes. After advancing to candidacy in your home department, completing at least one
year as a trainee, and at least one research practicum, you will be encouraged to
participate in a 2-12 month internship tailored to your interests and career goals.
Guidance from both the executive committee and your advisor will help facilitate.
Click hereto learn more!
In order to apply, please prepare a CV and a personal statement on your motivations
for wanting to be a part of this project. The personal statement should be 1-2 pages
long and include your current research direction, as well as what interests you about
the theme of this traineeship. Files must be uploaded as PDFs. It is important that
you speak with your advisor prior to applying and that they be supportive of your
participation; we will be contacting them upon receiving your application. Click hereto be directed to ourBecome a Traineepage.
Contact the Project Coordinator, Atefeh Hamedi, for more information. atefeh.hamedi@stonybrook.edu or 631-632-7098