TRAINING For Reproducibility Verification

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❗ This page is for Cornell-based students applying to work with the AEA Data Editor.

Training will occur mostly virtually, through a combination of required self-study and live Zoom meetings.

The live part of the training will take place on Day 1 in person (no exceptions). Additional meetings will happen on the following days using Zoom.

If your application to the LDI Replication Lab was accepted, you will be receiving information soon.

Training is open to anybody, for free, but employment is only based on invitation after application.

All the remaining information here is open to anybody.

Content is .

General Training Schedule

Training happens three times a year:

week prior to start of Fall classes (around Aug 16)
week prior to start of Spring classes (around Jan 17)
sometime prior to May exams (around April 22)

Day 1 is always a full day of training, and may occur on a weekend.

Applying

Applications are open approximately 4-6 weeks prior to the training day, and close approximately 10 days prior to the training day. For more information, see https://www.ilr.cornell.edu/labor-dynamics-institute/student-employment-opportunities.

Next training will be August 2025. Applications will open July 2025.

Prior to Training

Please have a look at the list of tasks that should be accomplished before the first meeting.

Tentative Agenda

The training will start with an intensive (in person) day of lectures/discussions, followed by exercises that you will do on your own, with daily touch-base meetings over Zoom.

If you have not received an invitation and you think you should have, contact LDI (ldi@cornell.edu).

Time	August 2025 (Location: TBD)
8:00	Breakfast
9:00	Introduction
10:00	Reproducible Practices, Template README
11:00	Data provenance, Data Citations
12:00	Lunch Break
13:00	What will you be doing in the Lab
14:00	Command Line/Git
15:00	A prototypical replication report
16:00	A walkthrough of the Workflow
17:00	How to run Stata
18:00	End

as needed: Email questions via our listserv (ldi-lab-l@list.cornell.edu)

Test cases and peer mentoring

Day	Date	Activity
Day 1	Jan 21	Mentoring on test cases
Day 2	Jan 23	Mentoring on test cases
Day 3	Jan 27	Mentoring on test cases
Day 4	Jan 30	Wrap-up

Test cases

Test cases are worked through, and jointly handled, including with repeated peer mentoring by senior (experienced) RAs in the Lab. Three (non-consecutive) days are set aside for the peer-mentoring and walk-throughs, but work on these test cases can be done any time (adapted to individual class and exam schedules). We strongly suggest doing these immediately after the in-person training, however, as experience has shown that those who delay too long will ultimately struggle later in their work.

each test article should take you no more than 5 hours of work (decreasing as you progress)
each session is live on Zoom.

Day	Date	Topic	Lead
Day 1, 17:30	Jan 21	Data is available, Stata	Marina	Ilanith
Day 2, 17:30	Jan 23	No data is available, only dry analysis	Ilanith	Gary
Day 3, 17:30	Jan 27	Data is available, Matlab	Gary	Marina

Overall Schedule for Follow-up to Training

Items that are bolded are live meetings. Items that are italicized are in informal groups with peers, but live (in person or on Zoom). Other items are on your own time, but the time slot is the suggested time you should be doing them.

Schedule

Time	Day 1	Day 2	Day 3	Day 4
8:00-9:00	Start on first article (Zoom)	Follow-up on first test article, introduce second article	Follow-up on second test article, introduce third test article	Follow-up on all test articles, Wrap-up of training, next steps
(self-paced)	Work on first test article	Work on second article	Work on third article
17:30- 18:30	(Peer mentoring)	(Peer mentoring)	(Peer mentoring)
	Finish first test article	Finish second test article	Finish third test article

Full Training Materials

Please go to https://labordynamicsinstitute.github.io/ldilab-manual/ for the full training materials.