Hub How-Tos
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Hub How-To (May 27): Mitigating AI Threats in Survey Research
How prevalent are AI bots in online samples, and can you spot human subjects using large language models (LLMs) to complete surveys? In this session, Nick Stagnaro, a survey researcher at Stanford and MIT, will discuss his recent research on the current state of AI bots in online samples.
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Hub How-To (May 20): Using AI with Licensed Resources
Data providers understandably want to limit your use of AI with their data. We are committed to licensing data so that it can be used with AI. Learn about the limits and horizons for AI use in social science research.
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Hub How-To (May 13): LLMs for Information Extraction
Large language models (LLMs) are revolutionizing how we convert raw documents into structured datasets—but how well do they handle messy, real-world data? Join the Data, Analytics, and Research Computing (DARC) team to explore a benchmark dataset for information extraction.
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Hub How-To (April 22): Introduction to SNL Insurance Data
Stanford researchers can now access SNL Insurance Data from S&P Global Market Intelligence. In this session, we introduce the data and review how it is structured and accessible in Redivis and Capital IQ Pro.
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Spring Quarter Hub How-Tos Announced
Topics include: SNL insurance data, LLMs for information extraction, using AI with licensed resources, and mitigating AI threats in survey research. Register to attend.
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Hub How-To (March 4): AI Code Development
Should you use ChatGPT to debug errors, or let an AI agent write your code from scratch? Join the DARC team to navigate the evolving landscape of AI coding tools, discover Stanford’s best practices, and learn how to keep your licensed data secure.
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Hub How-To (February 25): Comparing Historical Private Company and Establishment-Level Datasets (Orbis, D&B Hoovers, and Data Axle)
This presentation compares and contrasts three datasets that allow for historical research into public and private firms both in the U.S. and around the world, including at the establishment level.
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Hub How-To (February 18): AI Integration in Qualtrics
Enhance your Qualtrics surveys with an embedded AI chat window that participants can use directly within your survey. Learn about the secure, easy-to-implement tool developed by the Behavioral Lab and DARC teams.
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Winter Quarter Hub How-Tos Announced
Topics include: AI integration in Qualtrics, comparisons of historical private company and establishment-level datasets, AI code development, and newly added Verisk/Infutor data spanning five additional years. Register to attend.
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Hub How-To: Fine-tuning Large Language Models
A step-by-step guide to fine-tuning an open source model in the cloud and running inference on Stanford’s on-prem research computing platforms. Watch recording.
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Hub How-To: Run Longitudinal Surveys Online with CloudResearch
CloudResearch’s new tool streamlines running longitudinal studies on their platform. Learn how to set it up and see it in action. Watch recording.
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Hub How-To: GPU Resources Across Stanford
Learn about how Stanford’s flagship clusters, Sherlock and Marlowe, can help meet your GPU-resource needs. Watch recording.
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Hub How-To: Introduction to Dewey Data
Dewey Data Founder & CEO, Evan Barry, introduces the platform and highlights datasets, such as LinkedIn and other workforce analytics; consumer data; and more. Watch recording.
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Fall Quarter Hub How-Tos Announced
Topics include: Dewey Data, GPU resources across Stanford, longitudinal surveys with CloudResearch, and fine-tuning LLMs. Watch recordings.
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Hub How-To: Exploring the Equifax Ignite Platform
Stanford faculty have the opportunity to use their research funds for the Equifax Ignite Platform to gain access to individual-level consumer financial behaviors. Watch recording.
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Hub How-To: Understanding Network Traffic for Comscore Data and Beyond
Explore common patterns in network activity and develop a clearer understanding of the potential and limitations of using present and historical web usage data. Watch recording.
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Hub How-To: LLMs On-Prem using Yens, Sherlock, and Marlowe
Learn how to deploy LLMs on Stanford’s computing platforms. We also share practical tips for efficient inference on Ollama. Watch recording.
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Hub How-To: Introducing MSCI Climate Data
Stanford now has access to MSCI Climate data. Learn about this new dataset and how to work with it on the Redivis platform with example queries and workflows. Watch recording.
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Spring Quarter Hub How-Tos Announced
Topics include: MSCI Climate data, large language models on-prem, understanding network traffic data, and the Equifax Ignite platform. Watch recordings.
