Videos and workshops

A Stanford HAI panel on how AI is changing the practice of science, from productivity gains and narrowing research questions to AI agents that design experiments and review papers.

A virtual panel from the Academy of Management's Strategic Management Division on how generative AI can serve as a research tool for strategy scholars.

Highlights from the UK National Centre for Research Methods' 2025 Annual Lecture, a panel at the British Academy on using AI responsibly in research, with Dame Wendy Hall, David De Roure, Zeba Khanam and Mark Carrigan.

Recording of the ACR webinar on vibe coding and AI-assisted interviewing for consumer researchers, held on July 7, 2026.

Chinese-language course on AI-assisted qualitative research. Find provider information, access requirements and a practical coding exercise.

Recordings, slides and syllabus of the three-day workshop led by Dr Shubin Yu at the University of Bradford, 23 to 25 June 2026.

A cross-disciplinary panel on the potential and pitfalls of generative AI for research and research training.

An AMA chapter webinar on how marketing teams use generative AI for search, workflows and measurement, useful context for marketing researchers studying practice.

An APA convention session on AI trends and predictions for psychology, from fear and personalised care to predictive modelling.

Sonja Bjelobaba on maintaining research integrity in the age of generative AI, based on her 2025 paper in the International Journal for Educational Integrity.

Louis Luangkesorn walks through an analytics project lifecycle with generative AI and shows where foundation models fail.

INFORMS Committee on Teaching and Learning panel on generative-AI-driven research programmes and course redesign.

A panel of the AOM International Management Division and AIB on using AI as a research method in management and strategy.

On October 15, New Scholars hosted a webinar featuring Stine Grodal and Henri Schildt on using AI for qualitative studies. Here is A Best Practice Guide to AI-Augmented Qualitative Research based on Stine and Henri's paper and their webinar. 1.0 Introduction: A New Frontier for Qualitative Inquiry New artificial intelligence (AI) tools are fundamentally reshaping the landscape of knowledge work, creating both significant opportunities and profound challenges for the qualitati

On April 5, we hosted the second day of the workshop. Please also take a look of our github page for slides, readings, learning materials... http://github.com/lanceyuu/osloworkshop Morning session No code programming for research RAG Afternoon session Data analysis using GPT, Claude, Gemini Visualization using LLMs and colab Fine tuning a LLM using EASY DATASET Synthetic data

Hi here is the recording of the first day of the workshop. Please also take a look of our github page for slides, readings, learning materials... http://github.com/lanceyuu/osloworkshop 00:15 Introduction 15:00 GenAI foundation 01:19:46 Literature review and management 02:04:23 Automation, assistant and agent 02:36:03 Stimuli generation 03:18:33 AI interviewer 03:52:38 API 03:59:01 Text analytics

Imagine if we could automate the discovery of groundbreaking scientific hypotheses, unlocking new possibilities faster than ever before. Three research teams have taken a significant step in that direction, unveiling a machine learning framework designed to generate and evaluate scientific hypotheses with remarkable efficiency. The new framework is built around three essential stages: extracting, generating, and evaluating hypotheses. Initially, the system extracts existing h

This article, titled "Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis", is a collaborative effort by a diverse team of researchers from various academic backgrounds and institutions. This study was published on July 17, 2024, in NEJM AI, volume 1, issue 8. The article explores the potential of large language models (LLMs) in providing useful feedback on research papers, presenting a large-scale empirical analysis to addre

Date: June 20, 2024 Speakers: Joshua Cova and Luuk Schmitz, Max Planck Institute for the Study of Societies This workshop, led by Joshua Cova and Luuk Schmitz from the Max Planck Institute for the Study of Societies, provided an insightful introduction to the use of Large Language Models (LLMs) in social science research. The session covered several key areas: Four main uses of LLMs in social sciences: a) Modeling human behavior computationally (Aher, Arriaga, and Kalai, 2022

Speakers: - Eva Boxenbaum (Copenhagen Business School) - Teppo Felin (Utah State University) - Matthew Grimes (Cambridge Judge Business School) - Christine Moser (VU Amsterdam) - Christopher Wickert (VU Amsterdam) Large language models (LLMs) are increasingly impacting scientific research and scholarly work. As advanced AI systems capable of mimicking elements of human reasoning, LLMs may automate, augment or reconfigure many of the data analysis, theorizing and writing proce