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Artificial intelligence in science: An emerging general method of invention
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Cited by:
- Luca Fontanelli & Mattia Guerini & Raffaele Miniaci & Angelo Secchi, 2025.
"Predictive AI and productivity growth dynamics: evidence from French firms,"
Working Papers
2025.11, Fondazione Eni Enrico Mattei.
- Luca Fontanelli & Mattia Guerini & Raffaele Miniaci & Angelo Secchi, 2025. "Predictive AI and productivity growth dynamics: evidence from French firms," LEM Papers Series 2025/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Fontanelli, Luca & Guerini, Mattia & Miniaci, Raffaele & Secchi, Angelo, 2025. "Predictive AI and productivity growth dynamics: evidence from French firms," FEEM Working Papers 355806, Fondazione Eni Enrico Mattei (FEEM).
- Daniel Souza & Aldo Geuna & Jeff Rodr'iguez, 2024.
"How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning,"
Papers
2408.10359, arXiv.org.
- Daniel Souza & Aldo Geuna & Jeff RodrÃguez, 2025. "How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning," Carlo Alberto Notebooks 738 JEL Classification: O, Collegio Carlo Alberto.
- Flavio Calvino & Luca Fontanelli, 2025. "Decoding AI: Nine facts about how firms use artificial intelligence in France," LEM Papers Series 2025/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Xu, Yanan & Sun, Yaowu & Zhou, Yiting, 2024. "Unpacking the intellectual structure and evolution trend of general-purpose technologies development in innovation studies," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
- Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024.
"AI as a new emerging technological paradigm: evidence from global patenting,"
DISCE - Working Papers del Dipartimento di Politica Economica
dipe0038, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2024. "AI as a new emerging technological paradigm: evidence from global patenting," GLO Discussion Paper Series 1467, Global Labor Organization (GLO).
- Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2024. "AI as a new emerging technological paradigm: evidence from global patenting," Working Papers of Department of Management, Strategy and Innovation, Leuven 746877, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2025. "Is artificial intelligence leading to a new technological paradigm?," Structural Change and Economic Dynamics, Elsevier, vol. 72(C), pages 347-359.
- Imjai, Narinthon & Yordudom, Tanakrit & Yaacob, Zulnaidi & Saad, Nor Hasliza Md & Aujirapongpan, Somnuk, 2025. "Impact of AI literacy and adaptability on financial analyst skills among prospective Thai accountants: The role of critical thinking," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
- Christian Peukert & Margaritha Windisch, 2023. "The Economics of Copyright in the Digital Age," CESifo Working Paper Series 10687, CESifo.
- Luca Fontanelli & Flavio Calvino & Chiara Criscuolo & Lionel Nesta & Elena Verdolini, 2024.
"The role of human capital for AI adoption: Evidence from French firms,"
Post-Print
hal-05029748, HAL.
- Fontanelli, Luca & Calvino, Flavio & Criscuolo, Chiara & Nesta, Lionel & Verdolini, Elena, 2024. "The role of human capital for AI adoption: evidence from French firms," LSE Research Online Documents on Economics 126787, London School of Economics and Political Science, LSE Library.
- Flavio Calvino & Chiara Criscuolo & Luca Fontanelli & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," CEP Discussion Papers dp2055, Centre for Economic Performance, LSE.
- Koehler, Maximilian & Sauermann, Henry, 2024. "Algorithmic management in scientific research," Research Policy, Elsevier, vol. 53(4).
- Patsali, Sofia, 2024. "University procurement-led innovation: Sources, procedures, and effects. Some field-study evidence," Technovation, Elsevier, vol. 130(C).
- Hajkowicz, Stefan & Sanderson, Conrad & Karimi, Sarvnaz & Bratanova, Alexandra & Naughtin, Claire, 2023. "Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021," Technology in Society, Elsevier, vol. 74(C).
- Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
- Rammer, Christian & Doherr, Thorsten & Kinne, Jan & Lenz, David, 2024. "KI-Einsatz in Unternehmen in Deutschland: Strategische Ausrichtung und internationale Position," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 303033.
- Stefano Bianchini & Giacomo Damioli & Claudia Ghisetti, 2023.
"The environmental effects of the “twin” green and digital transition in European regions,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 877-918, April.
- Stefano Bianchini & Giacomo Damioli & Claudia Ghisetti, 2023. "The environmental effects of the “twin” green and digital transition in European regions," Post-Print hal-04048872, HAL.
- Youngsam Chun & Jisoo Hur & Junseok Hwang, 2024. "AI technology specialization and national competitiveness," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-26, April.
- Andrea Borsato & André Lorentz, 2023.
"Data production and the coevolving AI trajectories: an attempted evolutionary model,"
Journal of Evolutionary Economics, Springer, vol. 33(5), pages 1427-1472, November.
- Andrea Borsato & Andre Lorentz, 2022. "Data Production and the coevolving AI trajectories: An attempted evolutionary model," Working Papers of BETA 2022-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Andrea Borsato & André Lorentz, 2023. "Data production and the coevolving AI trajectories: an attempted evolutionary model," Post-Print hal-04401798, HAL.
- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2024. "Is Artificial Intelligence Generating a New Paradigm? Evidence from the Emerging Phase," IZA Discussion Papers 17183, Institute of Labor Economics (IZA).
- Sang Yoon Kim & Won Kyung Lee & Su Jung Jee & So Young Sohn, 2025. "Discovering AI adoption patterns from big academic graph data," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 809-831, February.
- Brea, Edgar, 2024. "The yin yang of AI: Exploring how commercial and non-commercial orientations shape machine learning innovation," Research Policy, Elsevier, vol. 53(6).
- Marian Oliński & Krzysztof Krukowski & Kacper Sieciński, 2024. "Bibliometric Overview of ChatGPT: New Perspectives in Social Sciences," Publications, MDPI, vol. 12(1), pages 1-16, March.
- Agrawal, Ajay & McHale, John & Oettl, Alexander, 2024.
"Artificial intelligence and scientific discovery: a model of prioritized search,"
Research Policy, Elsevier, vol. 53(5).
- Ajay K. Agrawal & John McHale & Alexander Oettl, 2023. "Artificial Intelligence and Scientific Discovery: A Model of Prioritized Search," NBER Working Papers 31558, National Bureau of Economic Research, Inc.
- Stefano Bianchini & Moritz Muller & Pierre Pelletier, 2023. "Drivers and Barriers of AI Adoption and Use in Scientific Research," Papers 2312.09843, arXiv.org, revised Feb 2024.
- Wu, Yifan & Yuan, Yiming & Song, Xueyin, 2025. "The impact of AI adoption on R&D productivity: Evidence from Chinese pharmaceutical manufacturing industry," Journal of Asian Economics, Elsevier, vol. 97(C).
- Flavio Calvino & Luca Fontanelli, 2024. "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series 11466, CESifo.
- Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.