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RESEARCH PAPER · Research Policy · 2024

Artificial intelligence and scientific discovery: a model of prioritized search

Ajay K. Agrawal, John McHale, Alexander Oettl

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Artificial intelligence and scientific discovery: a model of prioritized searchOriginalArtificial Intelligence and Brain: Is Innovation Getting Easier?0General-Purpose Technology in Development – Complementary Asset Bias, Option Value of Openness, and Profiting from Innovation Process0Unslicing the Pie: AI Innovation and the Labor Share in European Regions0The impact of artificial intelligence on green technology cycles in China92Technological Waves, Knowledge Diffusion, and Local Growth10Theory Is All You Need: AI, Human Cognition, and Causal Reasoning143Is artificial intelligence leading to a new technological paradigm?38A Model of the Babbage Firm0Artificial Intelligence and Brain: Is Innovation Getting Easier?0Does AI lead to significant skilling or deskilling of academics? Results from a large-scale survey0On Capability Needs for AI Utilization in Innovation Networks: Critical Literature Review0Transforming Entrepreneurship through Autonomous AI Agents: A Case Study of the Terminal of Truths1The impact of artificial intelligence adoption on Chinese manufacturing enterprises’ innovativeness: new insights from a labor structure perspective28Tendencias investigativas en el uso de técnicas de inteligencia artificial en la investigación científica6Is the road to high growth paved with intrapreneurial intention? The role of entrepreneurial self-efficacy and digital skills on entrepreneurship intention types8Generative artificial intelligence use and configurational pathways to innovation performance in start-ups21AI innovation and the labor share in European regions38Los Prompts de IA: Herramientas para la Optimización de la Investigación Científica2Application of artificial intelligence in microbial drug discovery: Unlocking new frontiers in biotechnology25Innovation for the green transition: challenges and future perspectives9Error-controlled non-additive interaction discovery in machine learning models7From technology to sustainability: the role of AI in reducing corporate pollution1Who uses AI in research, and for what? Large-scale survey evidence from Germany26Akademisyenler İçin Yapay Zekâ Destekli İş Güvenliği Algı Ölçeği: Geliştirme, Geçerlik ve Güvenirlik Çalışması0Borsa İstanbul Bankacılık, Sanayi ve Sürdürülebilirlik Endekslerinde En Yüksek Fiyat Oluşumu ile İşlem Hacmi Arasındaki İlişkinin Var Modeli ile Analizi0Adoption without transformation?AI use and integration among Danish SMEs0AI for Science: Opportunities, Challenges, and Future Directions4Artificial Intelligence and the Acceleration of Disruptive Green Technologies: Dual AI Roles, Path Heterogeneity, and Knowledge Recombination Mechanisms0Artificial Intelligence Investment and Corporate Innovation: Evidence from Human Capital Allocation0Computing Power Deployment and Firms’ Innovation Across Distant Knowledge Domains0Critical thinking in human-AI collaborations0Entry Is Not Directionality: Separating AI Adoption from Persistent Research-Trajectory Change in Korea’s Policy Era0Human capability development and artificial intelligence: A learning-based perspective on innovation search and knowledge creation0Joint demand for AI and domain skills and corporate technological recombination0Knowledge without disciplinary obligation: AI-mediated Crossfire and polymathic search0Mechanisms and Breakthrough Innovation Effects of AI-Enabled Interdisciplinary Knowledge Integration: A Comparative Study of China, the U.S., and Europe0Pushing a Frontier You'll have to Chase? The Emerging Ecosystem of AI Capability Services0The living lab and the cursed catalyst: Navigating the legitimacy challenges of innovation intermediaries for sustainable innovation5AI-driven design and applications of quantum dots9A multi-level cross-molecular interaction neural network for mixture property prediction1Does hybrid intelligence trigger breakthrough innovation?3Language barriers and the speed of international knowledge diffusion1Future in Artificial Intelligence and Knowledge Management0Artificial intelligence capability, CEO-TMT interface and corporate innovation failure0Unlocking novel knowledge recombinations: The effect of artificial intelligence on inventive activity14Modular Meta-Evolutionary AI Architecture Enables Interpretable Stratification in Heterogeneous Clinical Trials0Innovation and Diffusion: The Effects of AI Integration on Knowledge Dynamics in Public Administration Scholarship4Advancing Decision-Making through AI-Human Collaboration: A Systematic Review and Conceptual Framework29AI in science: When and where it makes a difference10Artificial Intelligence (AI) in Scientific Research0Artificial General Intelligence (AGI) in Industry 5.00Decoding complexity through machine learning is redefining scientific discovery3Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis0Artificial Intelligence in Scholarly Investigation0Artificial Intelligence and firm strategies: A pathway to enhanced productivity1How experience moderates the impact of AI suggestions on researchers' perceptions of their ideas0Allocating faculty compute budgets0Follow the technology or follow the leader? Radical innovation and strategic leadership at a crossroads1Matching Artificial Intelligence Methods to Research Problems in Medical Informatics0How to Do Research With AI : An Austrian Capital Theory Approach0The impact of generative artificial intelligence on innovation: Evidence from software products1Artificial intelligence in academic research: Adoption, productivity, and skill perceptions0Interpretable Subgroup Discovery with Abstention in Small, Heterogeneous Clinical Trials: A Retrospective Multi-Dataset Study0The Impact of Artificial Intelligence Technological Depth on the Rhythm of Exploratory Green Innovation1Artificial Intelligence application and cross-boundary digital innovation in traditional enterprises: evidence from Chinese listed companies0Public views on the use of AI in scientific research0Can artificial intelligence accelerate technological progress? Researchers' perspectives on AI in manufacturing and materials science1AI-driven cross-disciplinary idea generation: A multi-agent framework with world café simulation0Who Benefits from Urban AI Industry Density? Firm Value Creation and the Absorptive Capacity Threshold0Patent expiration, AI, and follow-on innovation0Financial stability, R&D, and AI activity in high-tech exports: Evidence from panel data0Exploration or exploitation? The double-edged effects of AI use modes on radical creativity: evidence from AI-enabled drug discovery0

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  2. General-Purpose Technology in Development – Complementary Asset Bias, Option Value of Openness, and Profiting from Innovation Process

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  4. The impact of artificial intelligence on green technology cycles in China

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  5. Technological Waves, Knowledge Diffusion, and Local Growth

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  6. Theory Is All You Need: AI, Human Cognition, and Causal Reasoning

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  7. Is artificial intelligence leading to a new technological paradigm?

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  8. A Model of the Babbage Firm

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  9. Artificial Intelligence and Brain: Is Innovation Getting Easier?

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  10. Does AI lead to significant skilling or deskilling of academics? Results from a large-scale survey

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  11. On Capability Needs for AI Utilization in Innovation Networks: Critical Literature Review

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  12. Transforming Entrepreneurship through Autonomous AI Agents: A Case Study of the Terminal of Truths

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  13. The impact of artificial intelligence adoption on Chinese manufacturing enterprises’ innovativeness: new insights from a labor structure perspective

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  14. Tendencias investigativas en el uso de técnicas de inteligencia artificial en la investigación científica

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  17. AI innovation and the labor share in European regions

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  18. Los Prompts de IA: Herramientas para la Optimización de la Investigación Científica

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  19. Application of artificial intelligence in microbial drug discovery: Unlocking new frontiers in biotechnology

    Journal of Microbiological Methods · 2025-08-21

    Mulugeta Mulat, Riza Jane S. Banicod, Nazia Tabassum, Aqib Javaid, Tae‐Hee Kim, Young‐Mog Kim, Fazlurrahman Khan

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  20. Innovation for the green transition: challenges and future perspectives

    Eurasian economic review : · 2025-09-01

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  21. Error-controlled non-additive interaction discovery in machine learning models

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  22. From technology to sustainability: the role of AI in reducing corporate pollution

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  23. Who uses AI in research, and for what? Large-scale survey evidence from Germany

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  24. Akademisyenler İçin Yapay Zekâ Destekli İş Güvenliği Algı Ölçeği: Geliştirme, Geçerlik ve Güvenirlik Çalışması

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  28. Artificial Intelligence and the Acceleration of Disruptive Green Technologies: Dual AI Roles, Path Heterogeneity, and Knowledge Recombination Mechanisms

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  40. A multi-level cross-molecular interaction neural network for mixture property prediction

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  41. Does hybrid intelligence trigger breakthrough innovation?

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  42. Language barriers and the speed of international knowledge diffusion

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  43. Future in Artificial Intelligence and Knowledge Management

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  44. Artificial intelligence capability, CEO-TMT interface and corporate innovation failure

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  45. Unlocking novel knowledge recombinations: The effect of artificial intelligence on inventive activity

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  46. Modular Meta-Evolutionary AI Architecture Enables Interpretable Stratification in Heterogeneous Clinical Trials

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  47. Innovation and Diffusion: The Effects of AI Integration on Knowledge Dynamics in Public Administration Scholarship

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  48. Advancing Decision-Making through AI-Human Collaboration: A Systematic Review and Conceptual Framework

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  49. AI in science: When and where it makes a difference

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  50. Artificial Intelligence (AI) in Scientific Research

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