LDI Replication project hiring Undergraduate Researchers for Summer 2023
We are looking for up to 10 students to work in the LDI Replication Lab, assisting the AEA Data Editor as undergraduate research interns.
Remuneration: An hourly rate commensurate with experience will be offered. Starting wage is $14.45 per hour, up to 10 hours per week while in session; up to 20 hours per week during the summer.
Goal: Ensure that supplementary materials for articles in a journal with a replication policy are (a) accessible (b) reproduce the intended results, (c) document results and findings.
The American Economic Association (AEA) monitors compliance with its Data and Code Availability Policy, under the leadership of the AEA Data Editor. LDI Replication Lab members will access pre-publication materials provided by authors, and assess how well these materials reproduce the results published in the manuscript or article. The provided materials and instructions will be assessed using a checklist. Authors’ instructions will be followed (if possible), and success or failure to (i) perform the analysis (ii) replicate the authors' results will be documented. Other related activities, such as literature search or tabulation of results, may also be assigned. Team work is encouraged, and activity will be supervised by graduate student or faculty member. Team members must be at ease working in various computer environments (Windows Remote Desktop, local laptops) and software tools (statistical software, Git).
This is ongoing work, and conditional on satisfactory work, continued employment (until graduation) is possible and desirable. Student status with Cornell is required.
Training is required as a condition of hiring. While employed, attendance (via Zoom) at two weekly meetings is required.
Training will take place on Saturday April 22nd (full day) in person, April 24th, April 28th, May 1st, and May 4th (virtually, see schedule https://labordynamicsinstitute.github.io/replicability-training/)". Live attendance should be expected at the posted times, plus some significant self-paced work. Successful trainees will transition to the actual "replicator" activity as soon as adequate skills are demonstrated. Our training success and post-training retention rate is above 90%. Once trained, you will be able to work flexibly, taking into account exams, summer jobs, and other study constraints.
Students are not paid during training. Training is free, but participation is limited to job candidates.
Some experience with empirical social science data analysis using statistical software is required. Knowledge of at least one of Stata, Matlab, R or SAS is required, as is familiarity with the Windows Desktop environment. Experience with Git and the command line (Linux, Mac, or Powershell) are assets. Applicants must be current Cornell students, residing in the United States.
How to Apply
Please complete the following form: https://forms.gle/xtXTCdDgTsnZRvuD6