- talk
- discussion
- ama
- panel
- workshop
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- dataeditor
- open-science
- privacy
- rct
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Data and Replication Panel - Reproducibility from Day 1 to Day T
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TBD -
Trusted computing in the context of central bank research data centers (follow-up) - CEA Summer School on Research Reproducibility
- École d’été du CIQSS: Reproductibilité en recherche – Garantir la transparence et la crédibilité de vos travaux (in French)
- Reproducibility in an Artificial Intelligence World: Challenges and Solutions for Scientific Research
- Balancing Openness and Privacy
- Scalable Infrastructure for Validation of Computational Social Science Research (SIVACOR)
- Enhancing Scientific Integrity: Progress and Opportunities in the Social and Behavioral Sciences - A Workshop
- Open Science and Reproducibility in Practice, in the context of Research Data Centers (RDCs)
- Discussant
- Training for AEA Data Editor Internship Summer 2026
- Replication packages en économie : préparation, bonnes pratiques et attentes des revues - surtout lorsque les données sont confidentielles
- Reproducible Research with Sensitive and Restricted Data
- La reproductibilité en économie pourquoi et comment
- Reproducibilidad con Impacto: Cómo la Ciencia Abierta Puede Cambiar el Mundo
- Notre Dame Lab for Economic Opportunities Pre-docs
- AEA/ES Data Editors' Tutorial 2
- AEA/ES Data Editors' Tutorial 1
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ReproCheck project training - Reproducibility and transparency in academia, and implications for statistical agencies
- Preparing for Reproducibility
- Open Science - Increasing Research Transparency in Economics
- Practical Guidance for Open Science in Your Research
- Sustainability Lab: Building innovative solutions for global biodata sustainability
- Conversation on Replication Packages with SOLE Mentees
- Reproducibility from Day 1 to Day T (Part 2)
- Reproducibility from Day 1 to Day T
- Trusted computing in the context of central bank research data centers
- Reproducibility from the data editor's perspective
- CEA Panel on Reproducibility
- QICSS Summer School on Research Reproducibility
- La crédibilité de la recherche : comment améliorer la reproductibilité en sciences économiques
- Training for AEA Data Editor Internship Summer 2025
- Best Practices for Reproducible Science: Lessons from 2400+ Papers
- Tips and Tricks from the Trenches: How to be Reproducible from Day 1 of Your Research Project
- Discussion with the Research Publication Group at the Federal Reserve Board
- Reproducibility in Economics: Why and how
- AEA/ES Data Editors' Tutorial 2
- Panel: The Tradeoffs of Data Transparency: A Discussion of the Pros and Cons of Replication Packages, Pre-registration & Pre-analysis Plans
- AEA/ES Data Editors' Tutorial 1
- Improving Results Reporting in RCT Registries: Evidence from Interviews with Registrants
- Discussant for 'Slowly Scaling Per-Record Differential Privacy'
- Reproducibility and AI: Potential, Challenges, and Other Preliminary Thoughts
- Creating Reproducible Research Even When Data Are Confidential
- Open Q&A with the American Economic Association's Data Editor
- Cross-Cutting Roundtable - Open Science in Observational Research
- Open Q&A with Data Editors of the AEA, ECTA, and WEAI
- Reproducibility and transparency in academia, and implications for statistical agencies
- ZBW Coffee Lecture on Open Science Education: A reproducibility internship?
- ROCKWool Masterclass: Tools, Tips, and Skills for Day 1, Day T-1, and Anytime in Between (2 days)
- TBD
- Training on reproducible methods in empirical economics when data are confidential
- Training on reproducible methods in empirical economics
- Reproducibility from Day 1 to Day T
- Training on reproducible methods in empirical economics
- QICSS Summer School on Research Reproducibility
- Using Containers to Validate Research on Confidential Data
- École d’été du CIQSS en reproductibilité de la recherche (in French)
- A chat with Data Librarians and the AEA Data Editor
- Reproducibility in Economics: Open Q&A with the American Economic Association's Data Editor
- Reproducibility in Economics: Open Q&A with the American Economic Association's Data Editor
- Don't Worry, Be (Reproducibly) Happy! Reproducibility from Day 1 and Day X
- Data Editor AMA
- Ask a Data Editor Anything
- Data Editor AMA
- Advanced methods for self-verification of reproducibility
- Reproducible Research from Day 1
- (Full day) Reproducibility Workshop Nihon
- (Full day) Reproducibility Workshop Nihon
- Transparency and Reproducibility in Economics: Context and Lessons learned from 1,000 papers
- Transparency and Reproducibility in Economics: Context and Lessons learned from 1,000 papers
- Reproducible Research from Day 1
- Ten Simple Rules for creating a replication package
- Reproducibility and Preservation: Lessons learned from 1,663 papers in Economics
- Transparency and Reproducibility in Economics: Context and Lessons learned from 1,663 papers
- Kontinuierliche Transparenz und Reproduzierbarkeit bei akademischen Publikationen: Ansätze und Techniken
- Data Editor AMA
- Replication and Research Transparency in Empirical Economics
- Transparency and Reproducibility in Economics: Context and Lessons learned from 1,663 papers
- Data Editor AMA
- Data Editor AMA
- Data Editor AMA
- Coffee with Data Editors
- Reproducibility when data are confidential or big
- Transparency and Reproducibility in Economics: Context and Lessons learned from 1,000 papers
- Reproducible Research Fundamentals: Why does reproducibility matter for economics research
- Transparency and Reproducibility in Economics: Lessons learned from 1,000 papers when data are confidential
- Replication and Research Transparency
- Reproducibility in the Social Sciences: Lessons learned for students, researchers, and institutions from 1,000 articles
- Reproducibility in the Social Sciences: Lessons learned for students, researchers, and institutions from 1,000 articles
- Transparency and Reproducibility in Economics: Lessons learned from 1,000 papers
- Lessons Learned from Implementing AEA Reproducibility
- Rethinking Reproducibility: Bridging the Gaps Between Research Cultures, Publishing Workflows and Scholarly Infrastructures
- Teaching for Large-scale Reproducibility Verification
- Challenges in Reproducibility and Replicability in Labor Economics
- Teaching for Large-scale Reproducibility Verification
- Reproducibility and Transparency versus Privacy and Confidentiality: Reflections from a Data Editor
- Overview of reproducibility and replicability in economics, with a side trip to provenance
- Enhancing accessibility and reproducibility in scientific publications: Improvements on both ends of the pipeline
- Panel: Challenges and Opportunities of Reproducibility when Data are Proprietary
- Improving Transparency and Reproducibility: Lessons from 1,000 economics papers
- Data Science Tools Workshop: Working with confidential data
- Firm-Academic Research Collaborations in Economics - Journals’ Perspective
- Tutorial: Data Sharing and Archiving for Reproducibility
- Implementing Increased Transparency and Reproducibility in Economics: Lessons for Register based Research
- Implementing Increased Transparency and Reproducibility in Economics - Some Lessons
- Improving reproducibility in the social sciences: Challenges
- Demystifying Replication Requirements and Processes: Best Practices Viewed by AEA-Data Editor
- Reproducibility Potpourri - or why we need a standard README
- Practices for Data Transparency and Reproducibility
- Practices for Data Transparency and Reproducibility
- Practices for Data Transparency and Reproducibility
- Practices for Data Transparency and Reproducibility
- Practices for Data Transparency and Reproducibility
- Implementing Increased Transparency and Reproducibility in Economics
- Implementing Increased Transparency and Reproducibility in Economics
- Implementing Increased Transparency and Reproducibility in Economics
- Implementing Increased Transparency and Reproducibility in Economics
- Implementing Increased Transparency and Reproducibility in Economics
- Implementing Increased Transparency and Reproducibility in Economics