Publikationen

Engelmann, Tim; Toetzke, Malte (2023). Can Deep Learning Help to Forecast Deforestation in the Amazonian Rainforest? - Paper presented at the NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning.

Jorzik, Nathalie; Kirchhof, Paljana; Mueller-Langer, Frank (2023). Industrial Data Sharing and Data Readiness: A Law and Economics Perspective Max Planck Institute for Innovation & Competition Research Paper No. 23-22.

Bartoš, Vojtĕch; Castro, Silvia; Czura, Kristina; Opitz, Timm (2023). Gendered Access to Finance: The Role of Team Formation, Idea Quality, and Implementation Constraints in Business Evaluations CESifo Working Paper 10719.

Probst, Benedict; Lohmann, Paul M.; Kontoleon, Andreas; Anadón, Laura Díaz (2023). The Impact of Open Access Mandates on Scientific Research and Technological Development in the U.S. iScience, 26 (10).

Azar, José; Chugunova, Marina; Keller, Klaus; Samila, Sampsa (2023). Monopsony and Automation Max Planck Institute for Innovation & Competition Research Paper No. 23-21.

Chatterjee, Chirantan; Chugunova, Marina; Ghosh, Mainak; Singhal, Abhay; Wang, Lucy Xiaolu (2023). Human Mediation Leads to Higher Compliance in Digital Mental Health: Field Evidence from India Frontiers in Behavioral Economics, 2.

Potts, Jason; Torrance, Andrew; Harhoff, Dietmar; Hippel, Eric von (2023). Profiting from Data Commons: Theory, Evidence, and Strategy Implications Strategy Science 2023.

Toetzke, Malte; Probst, Benedict; Feuerriegel, Stefan (2023). Leveraging Large Language Models to Monitor Climate Technology Innovation Environmental Research Letters, 18 (9).

Wang, Lucy Xiaolu (2023). A Cost-Benefit Analysis of the Medicines Patent Pool Max Planck Institute for Innovation & Competition Research Paper No. 23-18.

Widmann, Rainer (2023). The Behavioral Additionality of Government Research Grants (Rationality and Competition Discussion Paper Series, Rationality and Competition 417 ).