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AI for Health Research Series: Using AI for Science & Health Communication
This series explores AI as a research tool across evidence synthesis, coding, data analysis, visualization, and science and health communication.
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Fall 2026 Open and Reproducible Research Lunch Series: Reproducibility in the Repository: Using Yale Dataverse
In this workshop, Yale’s Research Data Management Librarian, Dr. Brandon Miliate, will provide an introduction to using Yale Dataverse.
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How to Cite and Report AI Use (Online)
Interested in writing about your research—scholarly, public, policy, and more—and working with AI?
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AI for Health Research Series: AI-Augmented Analytics for Data Visualization
This series explores AI as a research tool across evidence synthesis, coding, data analysis, visualization, and science and health communication.
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AI for Health Research Series: AI-Powered Coding and Data Analysis
This series explores AI as a research tool across evidence synthesis, coding, data analysis, visualization, and science and health communication.
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Fall 2026 Open and Reproducible Research Lunch Series: Using AI for Reproducible Social Science
Thinking of using AI to help organize your files, to clean or analyze your data, or to help prepare a replication package?
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FSRDC Data in Action Series: The Effects of Eviction on Children
Join DISSC and the Tobin Center for a three-part series on the Federal Statistical Research Data Center (FSRDC) at Yale.
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How to Cite and Report AI Use
Interested in writing about your research—scholarly, public, policy, and more—and working with AI?
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Fall 2026 Open and Reproducible Research Lunch Series: Reproducibility [or Transparency] From Field Survey to Working Paper
Large-scale field data can be expensive and ephemeral, making transparency and reproducibility challenging but essential.
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Finding Aids as Data: Using AI for Archival Discovery
AI can make large bodies of archival description accessible to new forms of questioning across collections, people, places, subjects, etc.
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Using Claude Code for Data Analysis
Coding agents such as Claude Code can inspect data, write and execute R code, troubleshoot errors, and produce reproducible analysis files.
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AI and the Literature Review: A Comparison (Online)
Can you build a literature review with AI? How does it compare to the traditional route?
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AI and the Literature Review: A Comparison
Can you build a literature review with AI? How does it compare to the traditional route?
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Collections-Based Teaching: AI Resilient or AI Supported?
This workshop invites participants to think through the goals of an AI-resilient model of collections-based teaching.
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Interacting with AI via Python
Would you like to work with an AI large language model (LLM) like ChatGPT or Claude, but not via web interface or desktop applications?
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LLMs on Yale's clusters
This workshop will provide researchers interested in LLMs with the skills to launch and run inference-based workflows with open-source models on YCRC.
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AI and the Literature Review: A Comparison (Online)
Can you build a literature review with AI? How does it compare to the traditional route? Join us for a session with one goal: to help you choose when,
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AI and the Literature Review: A Comparison
Can you build a literature review with AI? How does it compare to the traditional route? Join us for a session with one goal: to help you choose when,
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Visual Literacy: AI in Context
Have you recently encountered an image online and wondered whether it was real or AI-generated?
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AI Brown Bag Series
Join us each month at DISSC for an informal lunch discussion on artificial intelligence use cases at Yale.
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ReproducibiliTEA: Brewing a Culture of Reproducibility
Join us for Yale’s first ReproducibiliTEA session, an informal reading group for faculty and other advanced researchers.
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Fall 2026 Open and Reproducible Research Lunch Series: If These Data Could Talk: Managing Research Materials for Reproducibility
Have you ever gone back to or inherited a research project and wondered how to run the analysis code?