CRCS Summer Fellowship


The Center for Research on Computation and Society (CRCS) at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) invites Ph.D. students for the 2020 Summer Fellowship.

CRCS brings together computer scientists and scholars from a broad range of fields to make advances in computational research that serve public interest. We are currently collaborating on interdisciplinary projects in areas such as public health, poverty and inequality, and conservation. CRCS is informed by a deep knowledge of the societal issues at stake and a commitment to advancing the human condition through cutting edge collaborations between computational and social science.

CRCS invites applications from Ph.D. students in computer science and the social sciences to participate in the 2020 summer fellowship program. Students from a wide range of disciplines interested in research at the interface of computing and society are encouraged to apply. All Ph.D. students from institutions across the world, including those based outside of the United States, are eligible for this fellowship. 

The program will provide fellows with an opportunity to conduct research, including in public health, socio-economic inequality, bias and discrimination, and computational sustainability and conservation. Fellows will have an opportunity to collaborate with CRCS affiliated faculty, other faculty across the University -- such as at the Harvard T.H. Chan School of Public Health -- current and visiting students and postdoctoral fellows at SEAS, and domain experts, including local organizations and partners. The fellowship program will provide participants with opportunities to learn about one another’s work as well as the work of other members of the University through a seminar series and socials in the Cambridge and Boston area.

Projects for summer fellows will cover the following areas: (1) computational public health, such as for tuberculosis and maternal health, (2) designing and analyzing algorithms and matching mechanisms in education, (3) building and analyizng visualization platforms to enhance experiences for social workers and policy-makers, (4) measuring and analyzing hiring and employment discrimination, (5) Innovative techniques to predict threats to endangered wildlife, among other related topics.

Project assignments are determined based on the fellow’s interest, experience and expertise, fellowship duration, and project need. Fellows will earn a $4000 per month stipend. The fellowship may additionally provide limited travel support to and from the summer fellowship. 

Qualifications: We welcome Ph.D. students with interest and experience in research at the interface of computation and society. If you are currently a F1 visa holder at another institution, you will need to receive permission from your home institution to participate in the fellowship program.

Duration and Location: The 2020 summer fellowship program will occur at the Harvard University campus. Fellowships are available for 6-12 weeks and will run from approximately from early June to mid-August.

Application process: For your application, please email the following materials to Gabriella Fee at gfee@g.harvard.edu.

1. Your resume or CV

2. Have two recommenders send short letters of recommendation (500 words are reasonable). It is the applicants’ responsibility to ensure that the recommendations are received by the deadline. 

3. A 250-500 word statement explaining your motivation for conducting research focused on computation and society. You may also propose new potential projects of interest as part of this statement, or express interest in ones that are ongoing at CRCS (https://crcs.seas.harvard.edu/). 

4. Indicate the preferred length of the fellowship, which will be 6-12 weeks. (Note, we strongly recommend that graduate students participate for 10-12 weeks.)

Timeline:

Application deadline: March 4th, 2020

Due to concerns around COVID-19, decisions have been postponed until March 30th, 2020. We understand the inconvenience this may cause. Please note that, where possible, we will attempt to notify before this time.

If you have any questions or concerns, please contact Gabriella Fee at gfee@g.harvard.edu.

CRCS Summer Fellowship events

Monday, August 10, 2020

Harvineet Singh

Harvineet Singh

Harvineet is a Ph.D. student in Data Science at New York University. He focuses on the responsible design of machine learning systems for digital health applications. Drawing from the fields of causal inference and algorithmic fairness, he studies fairness of predictive models in making healthcare decisions and transferability of the models across changing environments. Prior to being a graduate student, he was a research engineer at Adobe Research in India, where he worked on methods for survival analysis and interactive recommendations.

Aviva Prins

Aviva Prins

Aviva Prins' research revolves around responsible algorithmic decision-making for social good. At Harvard, she is working with Prof. Milind Tambe on a bandit model that improves patient adherence to tuberculosis treatment plans in India. She uses techniques from algorithms, optimization, mechanism design, and machine learning in her research.

Sara Kingsley

Sara Kingsley

Sara Kingsley is a PhD student at Carnegie Mellon University (CMU) advised by Chinmay Kulkarni. Her research interests include human-centered and critical machine learning, mechanism design for social good, and algorithmic discrimination. Her research introduces and builds on insights in HCI and ML as well as microeconomic theory. She is particularly interested in applying her training in labor economics to study online job, credit, health and data markets. Prior to CMU, Sara worked in the administration of President Barack H. Obama as a congressional affairs officer at the U.S. Department of Labor, and in the United States Senate for Senator Edward M. Kennedy. At CRCS, she is mentored by Rediet Abebe and Elena Glassman, and is working collaboratively with Ricardo Sandoval (Vanderbilt) to build a computational platform for social work.