LTAC 2025: Generative AI in Management, Education and Research

Conference program

We are pleased to announce the fourth London Text Analysis Conference, which will be held at the Institute of Management Studies, Goldsmiths, University of London on 11 – 12 September 2025.

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 2025 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.

Full conference program is now available on this link!

Registration and Conference fees

Regular registration: £180

PhD students and post-docs: £120

LLM Workshop only: £130

Pre-conference workshop: included for conference participants. Separate workshop registration valid for Wednesday 10 September only is available.

Please register for the conference on this link.

Keynote Speakers

Henri Schildt

Henri Schildt is a Professor of Strategy at Aalto University (Helsinki, Finland) and an entrepreneur. His current research and teaching focuses on artificial intelligence, including its business applications and use for qualitative research. Henri’s research has been published in top-tier academic journals, such as Academy of Management Journal, Organization Science, and Organization Studies. His start-up, Skimle.com, aims to make AI-powered qualitative analysis effortless and transparent.

Milan Miric

Milan Miric is an Associate Professor at the Marshall School of Business, University of Southern California. He studies strategies for firms in the digital economy and works on developing tools to help researchers apply machine learning and generative AI in their research. He has published in Strategic Management Journal, MIS Quarterly, Research Policy and Harvard Business Review.

Invited lecture on Gen AI in Higher Education: Xue Zhou

Professor Xue Zhou is Associate Dean of Education in the College of Business at the University of Leicester, a Professor in AI in Business Education, and a Principal Fellow of the Higher Education Academy (PFHEA). She is the recipient of the Advance HE Collaborative Award for Teaching Excellence (CATE) and the British Academy of Management Education Practice Award, recognising her excellence in AI literacy, peer-led team learning, and innovative pedagogy.

Her research focuses on the ethical and effective use of artificial intelligence in education and industry, with particular interests in AI literacy, digital pedagogy, interdisciplinary co-creation, and technology-enhanced learning. Professor Zhou is the author of the recent Springer book Institutional Guide to Using AI for Research, one of the first comprehensive guides for integrating generative AI into postgraduate research. She is an Associate Editor of Intelligent Technologies in Education and serves as a guest editor for several academic journals in the fields of digital education, business innovation, and AI. She has led and contributed to a range of funded projects supported by the QAA, British Academy of Management (BAM), ALDinHE, and institutional grants, focusing on AI-enhanced learning, staff development, and student employability. Her work has been shared through keynote talks, panel contributions, and consultations at universities and conferences globally, shaping the conversation on how AI can transform teaching, learning, and the future of work.

The title of the talk is "From Tools to Teammates: How GenAI are Reshaping Higher Education"

Scientific Committee

Ivan Zupic, Goldsmiths, University of London

Nigel Guenole, Goldsmiths, University of London

Filippo Chiarello, University of Pisa

Michael Yeomans, Imperial College London

Andrea Caputo, University of Trento

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

Abstract deadline (extended): 7 July 2025

Confirmation of acceptance: 9 July 2025

Author registration deadline: 20 August 2025

Program

Pre-conference workshop – Wednesday 10 September 2025: How to use Large Language Models (LLMs) for social science research

Day 1 – Thursday 11 September 2025: Workshops and panels on Generative AI in Management, Education and Research

Day 2 – Friday 12 September 2024: Paper presentations

Full conference program is now available on this link!

Pre-conference Workshop

Researchers interested in using LLMs for research tasks (text annotation, information extraction, topic modeling, text classification, literature review support, …) are welcome to attend the pre-conference workshop for a hands-on professional development session covering different approaches, pros, cons and ethical considerations of using LLMs in research. Places in the workshop are limited.

Conference Sponsor

Goldsmiths, University of London

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