Publikationen

Potts, Jason; Torrance, Andrew; Harhoff, Dietmar; Hippel, Eric von (2024). Profiting from Data Commons: Theory, Evidence, and Strategy Implications Strategy Science, 9 (1), 1-17.

Drexl, Josef; Harhoff, Dietmar; Conde Gallego, Beatriz; Slowinski, Peter R. (2024). Position Statement of the Max Planck Institute for Innovation and Competition of 6 February 2024 on the Commission's Proposal for a Regulation of the European Parliament and of the Council on Standard Essential Patents, GRUR International - Journal of European and International IP Law 73 (7), 647-665.

Schneider, Lambert; Jung, Hannes; Haase, Isabel; Michaelowa, Axel; Kessler, Juliane; Oberpriller, Quirin; Füssler, Jörg (2024). Lessons Learned from the Kyoto Mechanisms for the Article 6.4 Mechanism ClimateChange 02/2024. Dessau-Roßlau: Umweltbundesamt.

Foster, Vivien; Trotter, Philipp A.; Werner, Sven; Niedermayer, Melin; Mulugetta, Yacob; Achakulwisut, Ploy; Brophy, Aoife; Dubash, Navroz K.; Fankhauser, Sam; Hawkes, Adam; Hirmer, Stephanie; Jenkins, Stuart; Loni, Sam; McGivern, Alexis; Nanthavong, Khamphone; Probst, Benedict; Pye, Steve; Russo, Vladimir; Semieniuk, Gregor; Shenga, Carlos; Sridharan, Vignesh; Srivastav, Sugandha; Sokona, Youba; Somavilla Croxatto, Lucas; Yang, Pu (2024). Development Transitions for Fossil Fuel-Producing Low and Lower–Middle Income Countries in a Carbon-Constrained World Nature Energy, 9, 242-250.

Baruffaldi, Stefano Horst; Simeth, Markus; Wehrheim, David (2024). Asymmetric Information and R&D Disclosure: Evidence from Scientific Publications Management Science, 70 (2), 1052-1069.

Jorzik, Nathalie; Kirchhof, Paula Johanna; Mueller-Langer, Frank (2023). Industrial Data Sharing and Data Readiness: A Law and Economics Perspective European Journal of Law and Economics 2023.

Lacetera, Nicola; Chugunova, Marina (Hg.) (2023). The Ethics and Behavioral Economics of Human-AI Interactions (Frontiers in Behavioral Economics - Special Issue 2) 2023.

Bastos, Paulo; Flach, Lisandra; Keller, Klaus (2023). Robotizing to Compete? Firm-Level Evidence Max Planck Institute for Innovation & Competition Research Paper No. 23-23.

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.