Unlocking New Frontiers: Large Language Models in Humanities and Social Sciences
Invited Session: Monday 10th June, 15:30-16:30
Theme
The remarkable advancements in AI model capabilities have led to significant advancements in text synthesis and diverse downstream Natural Language Processing (NLP) tasks. This evolution presents a significant opportunity for researchers in the fields of Humanities and Social Sciences. The growing availability of new data forms, such as websites, online policy documents, and other internet-based resources, underscores the necessity and value of these advanced methods. Their ability to enhance data analysis, refine research methodologies, enable data-driven decision-making, unlock access to novel data sources, and foster opportunities for interdisciplinary collaboration is pivotal.
In particular, Large Language Models (LLMs) have gained widespread attention due to their extensive applications and impressive capabilities. These models stand at the forefront of technological innovation, demonstrating their utility in various contexts and disciplines.
To offer deeper insights into the application of these ground-breaking methods, we cordially invite you to our special session dedicated to exploring LLM applications in Humanities and Social Sciences. This session is designed to illuminate the potential of LLMs and guide researchers on how to effectively integrate these tools into their work, opening new avenues for research and discovery in these dynamic fields.
Speakers
Arash Hajikhani, Research Team Leader, VTT Technical Research Centre, Finland
Roman Jurowetzki, Associate Professor, Aalborg University Business School, Denmark
Pietro Cruciata, PhD candidate, Polytechnique Montreal, Canada
Organizer
Catherine Beaudry
Professor and holder of the Tier 1 Canada Research Chair in Management and Economics of Innovation
A graduate in electrical engineering from Polytechnique Montreal and a graduate in economics from the University of Oxford (master’s and doctorate), Catherine Beaudry is currently a full professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montreal. Professor Beaudry also holds a Canada Research Chair (CRC) level 1 (senior) in management and economics of innovation in addition to leading the Partnership for the Organization of Innovation and New Technologies (4POINT0). She is a member of the Centre interuniversitaire de recherche sur la science et la technologie (interuniversity centre for research on science and technology – CIRST), a fellow and main researcher of the Center for Interuniversity Research and Analysis of Organizations (CIRANO).She is a Fellow of the Academy of Social Sciences of the Royal Society of Canada and has been awarded the Prix Acfas Jacques-Rousseau 2022 and the CSPC Trailblazer Award for Innovation Policy in 2023.
Professor Beaudry specialises in the economics of innovation and its impact on business performance, as well as in the evaluation of research and the science and technology system. Her main research interests are collaboration and support mechanisms for public and private organisations within knowledge and innovation ecosystems. Her research aims to create multi-level (organisations-ecosystem-society) analysis models and indicators on which governance and public policies specific to innovation ecosystems can be based. Its multidisciplinary work considers the science, technology and innovation system as a whole, thereby decompartmentalising the innovation process.
