Research Transparency and Reproducibility
J-PAL has been awarded a three-year grant from the Alfred P. Sloan Foundation and the Laura and John Arnold Foundation to promote research transparency and reproducibility. There are four main objectives of this grant:
- Increase the number of studies registered on the AEA Social Science Registry to more than 1,000
- Publish more than 180 new datasets in trusted data repositories
- Facilitate the reproducibility of 36 studies through pre-publication reanalyses by J-PAL graduate student fellows
- Produce online training modules for research transparency and data management
J-PAL has also made a number of research resources available for research transparency and reproducibility here.
DATA PUBLICATION SERVICES
As part of its research transparency grant, J-PAL has committed itself and its researchers to publishing 180 datasets over the next three years. J-PAL offers a full suite of data publication services to J-PAL affiliates to increase the number of evaluations that contain public-use datasets. Our research team works with our affiliates to clean, curate, and finalize datasets before publishing them in our secure data repository.
Our support includes, but is not limited to:
- Cleaning and Curation
- General cleaning: recoding values, labeling or renaming variable labels, further commenting on code
- Checking usability of data e.g., that there are variable labels/value codes
- Ensuring no PII is publicly released.
- Push-button replication of the study (checking that data/code produce the published results)
- Publishing your completed dataset to the J-PAL Dataverse
- Migrating previously published data from a personal website to a secure data repository (i.e. the J-PAL Dataverse) to ensure long-term sustainability of the data
If you are interested in learning more about these services, or you are a J-PAL affiliate and have studies that you would like to receive some assistance, please email email@example.com.
Graduate student fellowships
J-PAL’s fellowship program offers financial support (tuition assistance of up to $12,000 and a stipend of $13,000) for one semester (approximately 4.5 months) for current PhD students. While preference will be given to students from economics programs, graduate students from other disciplines with strong quantitative and programming skills (STATA, R etc.) are very welcome to apply. During the fellowship, students will work with some of J-PAL’s 150 affiliated professors from dozens of universities around the world, re-analyzing randomized evaluations from scratch (starting with the creation of the data set from “raw survey” data, up to production of the final econometric analysis included in the working papers). The purpose of this fellowship is create a collaborative environment for reproducing and replicating the data analyses included in these studies.
Future application periods are as follows:
- Application Period: September 15 to October 15
- Review Period: October 15 to November 10
- Announcements: November 15
- Start Date: On or around February 1
- Application Period: May 15 to June 30
- Review Period: June 30 to July 10
- Announcements: July 15
- Start Date: On or around September 1
Meet the current fellows:
PhD candidate, Universidad Nacional de La Plata (UNLP)
PhD candidate, Columbia University
|Andreas de Barros
PhD candidate, Harvard’s Graduate School of Education (HGSE)
The Research Transparency Team is not currently looking to fill any positions. However, we are regularly looking for interns in the Spring, Summer, and Fall to fill remote-working internships. If you have strong analytical skills and experience using Stata, please inquire about these positions by sending an email to firstname.lastname@example.org.
If you have any questions related to J-PAL's Research Transparency and Reproducibility work, please email email@example.com.