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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Ÿ±š˜š—µ š—®š—»š—»š˜‚š—®š—¹ š—œš—¦š—§š—”š—„š—œ š—„š—²š˜€š—²š—®š—æš—°š—µ š—Ŗš—¼š—æš—øš˜€š—µš—¼š—½. š—žš—²š˜† š˜š—µš—²š—ŗš—²š˜€ š˜š—µš—¶š˜€ š˜†š—²š—®š—æ: š—Ÿš—Ÿš— š˜€ š—®š˜€ š—¶š—»š˜€š˜š—æš˜‚š—ŗš—²š—»š˜š˜€: validating LLM-based measurement of innovation, technology adoption, and organisational characteristics from web data š—Ÿš—Ÿš— š˜€ š—®š˜€ š˜€š—¶š—ŗš˜‚š—¹š—®š—°š—æš—®: simulating firms, markets, and economic agents, and probing the limits of synthetic data and generative inference š—”š—“š—²š—»š˜š—¶š—° š—Ŗš—²š—Æš—”š—œ: autonomous, tool-using pipelines for large-scale web crawling and knowledge extraction š—˜š—½š—¶š˜€š˜š—²š—ŗš—¶š—°š˜€ š—®š—»š—± š—°š—æš—¶š˜š—¶š—¾š˜‚š—²: what LLM-mediated evidence can and cannot tell us about real economic systems š—”š—½š—½š—¹š—¶š—°š—®š˜š—¶š—¼š—»š˜€: green and digital transitions, technology diffusion, regional development, and institutional economics Submissions for presentation are now open. Submit your abstract before šŸ­šŸ± š—¦š—²š—½š˜š—²š—ŗš—Æš—²š—æ for a chance to present your work. No paper to present but keen to join the discussion? Register as a participant. š—œš—¦š—§š—”š—„š—œ š—„š—²š˜€š—²š—®š—æš—°š—µ š—Ŗš—¼š—æš—øš˜€š—µš—¼š—½: 9 November 2026, Mannheim and online. š—„š—²š—“š—¶š˜€š˜š—²š—æ š˜š—¼š—±š—®š˜†: https://lnkd.in/eK2uMnYt #marketintelligence #istari #webai #innovationresearch

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