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How are large language models changing the way we study innovation? As LLMs shift from data extraction to generation, new questions around the validity and representativeness of their use in research arise. What can model-generated simulations actually reveal about real firms and markets, and their innovation activity? These are the questions shaping the š±ššµ š®š»š»šš®š¹ šš¦š§šš„š š„š²šš²š®šæš°šµ šŖš¼šæšøššµš¼š½. šš²š ššµš²šŗš²š ššµš¶š šš²š®šæ: ššš š š®š š¶š»šššæššŗš²š»šš: validating LLM-based measurement of innovation, technology adoption, and organisational characteristics from web data ššš š š®š šš¶šŗšš¹š®š°šæš®: simulating firms, markets, and economic agents, and probing the limits of synthetic data and generative inference šš“š²š»šš¶š° šŖš²šÆšš: autonomous, tool-using pipelines for large-scale web crawling and knowledge extraction šš½š¶ššš²šŗš¶š°š š®š»š± š°šæš¶šš¶š¾šš²: what LLM-mediated evidence can and cannot tell us about real economic systems šš½š½š¹š¶š°š®šš¶š¼š»š: green and digital transitions, technology diffusion, regional development, and institutional economics Submissions for presentation are now open. Submit your abstract before šš± š¦š²š½šš²šŗšÆš²šæ for a chance to present your work. No paper to present but keen to join the discussion? Register as a participant. šš¦š§šš„š š„š²šš²š®šæš°šµ šŖš¼šæšøššµš¼š½: 9 November 2026, Mannheim and online. š„š²š“š¶ššš²šæ šš¼š±š®š: https://lnkd.in/eK2uMnYt #marketintelligence #istari #webai #innovationresearch