Industry collaboration, scientific sharing, and the dissemination of knowledge

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The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research (2020, background): “41 Evans, J. A. (2010b). Industry Induces Academic Science to Know Less about More. American Journal of Sociology, 116(2), 389–452. http://doi.org/10.1086/653834 Fei-Fei, L. (2018, March 7). How to Make A.I. That’s Good for People. The New York Times. Retrieved from https://www.nytimes.com/2018/03/0”
Tradition and Innovation in Scientists’ Research Strategies (2013, background): “ant predictor: F(1,98) = 24.68; (Prob > F) < 0.001; . Year is a significant but weaker predictor: F(1,98) = 33.57; (Prob > F) < 0.001; . A combined model captures 44.4% of the variation, F(2,97) = 26.62; (Prob > F) < 0.001; ; surprisalR remains highly significant, F(1,97) = 25.36, ”
Deepening our understanding of academic inbreeding effects on research information exchange and scientific output: new insights for academic based research (2013, unknown): “…of funding, and scientific productivity became widespread (e.g., Breschi and Catalini 2010; Branco et al. 2010; Cruz-Castro and Sanz-Menéndez 2010; Evans 2010; Defazio et al. 2009; Boardman and Ponomariov 2009; Heinze et al. 2009), informing the policies created to foster universities’…”