Updating AEA-related talks

Author: larsvilhuber

_talks/2025-09-29-cleveland.md

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+---
+title: "Preparing for Reproducibility"
+categories: dataeditor
+collection: talks
+type: "Workshop"
+tags: workshop
+date: 2025-09-29
+mode: "In-person"
+location: "Cleveland, Ohio, USA"
+venue: "Federal Reserve Bank of Cleveland"
+participants: 15
+mainurl:
+doi:
+maindoi:
+---
+
+## Agenda
+
+### Session 1, Monday Sep 29 1-2:30p EDT
+
+Journals require that you share your code and data in a replication package upon acceptance. However, efficient reproducibility starts at the beginning of the research project. Following some best practices from day 1 can not only help you prepare a replication package later, but also make you a more productive researcher. In this workshop, Lars will start with an empty folder and finish with a mini-project about public procurement across various European countries, ready for submission to a journal. Together we discuss and document all the choices to make about data collection and analysis, in a way that can help future readers of our research. For advanced topics, see Session 2.
+
+### Session 2, Tuesday Sep 30 noon-1:30p EDT
+
+Lars will discuss best practices with respect to data issues and computational issues in complex replication packages. Confidential data, big data, proprietary data, simulated data, containers, custom software, high-performance computing are all possible topics. Questions from the audience are encouraged. Participants are encouraged to also attend Session 1.

_talks/2026-04-02-insee.md

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+---
+title: "Replication packages en économie : préparation, bonnes pratiques et attentes des revues - surtout lorsque les données sont confidentielles"
+categories: dataeditor
+collection: talks
+type: "Presentation"
+tags: presentation
+date: 2026-04-02
+mode: "Online"
+language: 
+  - fr
+location: "Paris, France"
+venue: "Open Science Meet-Up de l'INSEE"
+participants: 
+mainurl:
+doi:
+maindoi:
+---
+
+La reproductibilité des résultats occupe aujourd'hui une place croissante dans la recherche empirique en économie et dans les politiques éditoriales des revues scientifiques. De nombreuses revues demandent désormais aux auteurs de fournir un replication package, c'est-à-dire l'ensemble des données, du code et de la documentation permettant de reproduire les analyses publiées.
+
+Lors de ce Meet-Up, Lars Vilhuber (Cornell University), Data Editor à l'American Economic Association, présentera les principes et les bonnes pratiques associés à la préparation et à la diffusion des replication packages. Il reviendra notamment sur les exigences croissantes des revues scientifiques, les standards qui se développent dans la communauté économique et les enjeux de la reproductibilité des travaux empiriques.
+
+Cette rencontre sera l'occasion d'échanger sur la manière dont ces pratiques contribuent au développement d'une recherche plus transparente et plus ouverte, en particulier dans les domaines de l'analyse économique et statistique.
+
+Elle s'adresse à toutes celles et ceux qui souhaitent mieux comprendre les enjeux de la reproductibilité des analyses économiques et de la diffusion ouverte des travaux de recherche.
+
+ 
+
+ 

_talks/2026-04-23-nasem.md

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+---
+title: "Enhancing Scientific Integrity: Progress and Opportunities in the Social and Behavioral Sciences - A Workshop "
+categories: dataeditor, open-science
+collection: talks
+type: "Workshop"
+tags: workshop
+date: 2026-04-02
+mode: "Online"
+location: "Washington, DC"
+venue: "Board on Behavioral, Cognitive, and Sensory Sciences at the National Academies of Sciences, Engineering, and Medicine"
+participants: 
+mainurl: https://www.nationalacademies.org/projects/DBASSE-BBCSS-25-02
+doi:
+maindoi:
+---
+
+This workshop will bring together researchers, journal editors, publishers, funders, and scientific association leaders to identify practical, forward-looking strategies for strengthening data integrity and transparency in the social and behavioral sciences. Participants will explore innovative tools and frameworks to detect and prevent errors, promote accountability, and reinforce public trust in research. Discussions will also consider how journals, institutions, and professional societies can adopt fair, sustainable practices that support scientific rigor while ensuring accessibility for researchers across many contexts and settings.
+
+Key questions to be addressed include:
+
+- How can the social and behavioral sciences continue to lead the way in advancing data integrity? What successful methods or frameworks from other disciplines might be adapted to strengthen these efforts?
+- Could systematic, random audits of published data help detect and correct honest mistakes while discouraging malfeasance? What governance structures would ensure such efforts are fair, sustainable, and constructive? What new tools might facilitate this process?
+- How can scientific journals refine their policies (e.g., review processes, data validation) to support transparency and integrity while maintaining accessibility for researchers across diverse contexts?
+- What strategies can be employed to ensure potential solutions avoid placing undue burdens on researchers, especially those at institutions with limited resources?