How can universities support emerging AI and LLM research in business and social sciences?
Speakers
From business studies and finance to economics and the social sciences, researchers are using LLMs and AI to analyze text data in new and exciting ways. By working with large collections of newspapers, dissertations, theses, government documents, and scholarly content, researchers can identify sentiment, uncover trends, and explore political, economic, and social questions at scale.
In this webinar, our expert speaker shared examples of AI- and text-based research projects, discussed how these methods are shaping research across disciplines, and explored how libraries, faculty, and research support teams can help researchers work with large-scale text datasets.
Access this webinar recording to know more.
The below agenda was covered during the session:
- What you’ll learn
- What’s changing in business, finance, economics, and social science research?
- How are researchers using LLMs and AI to extract insights from unstructured text?
- Real-world examples of AI- and text-based research projects across disciplines.
- How news, dissertations, government documents, and scholarly content can support large-scale research.
- Emerging opportunities for libraries and research support teams to enable AI-driven research.
- Considerations for working with large text datasets in research and teaching.
- A demonstration of ProQuest TDM Studio for AI-driven research and text analysis.
