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Conference program
Conference program
We are pleased to announce the fifth London Text Analysis Conference, which will be held at the School of Creative Management, Goldsmiths, University of London on 10 – 11 September 2026.
This year’s conference theme is Generative AI in Management, Education and Research. As Generative AI continues to reshape industries and academic disciplines, its application and implications in the field of management present a rich ground for scholarly inquiry and pedagogical innovation. LTAC 2026 aims to bring together researchers, educators, and practitioners to explore and discuss the latest advancements, challenges, and opportunities presented by these rapidly evolving technologies for questions related to management, research and education.
Our long-term goal is to develop a thriving community of researchers interested in digital text analysis and generative AI in social science research.
Abstract submission
Abstract submission
Researchers interested in presenting at the London Text Analysis Conference are encouraged to prepare an extended abstract (up to 1000 words) that summarizes the purpose, methods, results, and contributions of the study.
We welcome the following types of submissions:
- Generative AI for research. Studies that use Generative AI methods to explore social science questions or methods papers on the use of Generative AI in research.
- The use of generative AI in practice. Studies that research the use of Generative AI in management, business, work and public policy
- Generative AI in higher education. Studies that explore the consequences of generative AI for teaching & learning in higher education. We welcome both empirical contributions and think-pieces.
- Teaching showcase. Practical demonstrations on the use of generative AI in higher education teaching and learning.
- Text analysis methods. Studies using classic text analysis methods (e.g., topic modeling, sentiment analysis) for social science research.
The conference will also offer researchers an opportunity to discuss and get advice on their early-stage ideas in the form of blitz presentations and round-table discussions.
Please submit your research abstracts/idea pitches/teaching showcases using the submission link. The submission file should contain authors’ names, affiliations and presenting author email address.
This is a non-archival conference. Submitted abstracts will not be publicly posted online but could be made available to conference participants.
Please contact Ivan Zupic (i.zupic@gold.ac.uk) for questions regarding the conference.
Deadlines
Deadlines
Extended abstract deadline: 10 July 2026
Confirmation of acceptance: on a rolling basis by 13 July 2026
Author registration deadline: 20 August 2025
Keynote speaker: Vivianna Fang He
Keynote speaker: Vivianna Fang He
Vivianna Fang He is Associate Professor of Strategy and Entrepreneurship at the UCL School of Management, University College London (UK). Her research focuses on how emerging technologies shape collaborative innovation in organizations. Her work has been published in leading science (e.g., PNAS, Nature Reviews Drug Discovery) and management journals (e.g., SMJ, AMJ, and Organization Science) and won prestigious grants. Vivianna earned her PhD degree in Management from the GW School of Business, George Washington University (USA). Prior to joining UCL, she has worked at ETH Zürich (Switzerland), ESSEC Business School (France), and University of St Gallen (Switzerland), where she co-founded and led Institute of Responsible Innovation—an interdisciplinary research centre dedicated to harnessing emerging technologies and novel organizational forms for positive societal impact.
Scientific Committee
Scientific Committee
Ivan Zupic, Goldsmiths, University of London
Nigel Guenole, Goldsmiths, University of London
Filippo Chiarello, University of Pisa
Andrea Caputo, University of Trento
Technovation SI: Text as Knowledge for Innovation Management
Technovation SI: Text as Knowledge for Innovation Management
Guest editor Vito Giordano and other editorial team members of Technovation special issue (deadline March 2027) will be present at the conference and will be able to offer feedback to participants interested in submitting to SI on a dedicated conference track.
Program
Program
Pre-conference workshop – Wednesday 9 September 2026 afternoon: How to use Large Language Models (LLMs) for social science research
Day 1 – Thursday 10 September 2026: Workshops and panels on Generative AI in Management, Education and Research
Day 2 – Friday 11 September 2026: Paper presentations
Pre-conference Workshop
Pre-conference Workshop
Researchers interested in using LLMs for research tasks (content analysis, information extraction, literature review support, …) are welcome to attend the pre-conference workshop for a hands-on professional development session covering practical approaches and ethical considerations of using LLMs in research.
Registration and Conference fees
Registration and Conference fees
Regular registration: £210
PhD students and post-docs: £140
LLM Workshop only: £110
Pre-conference workshop: included for conference participants. Separate workshop registration valid for Wednesday 9 September only is available.
Conference Sponsor
Conference Sponsor
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