significantly, deep learning approaches require massive datasets. We know that the theory and algorithms have been around for quite …

, and innovation” and to provide an introduction to the associated special issue. We specifically discuss how various crowd …-related phenomena and practices — for example, crowdsourcing, crowdfunding, user innovation, and peer production — relate to theories of …, and innovation: (1) the functions of sociality (sociality as extension of rationality, sociality as sensing and signaling …

decarbonization and amplify current policies: growing substitutability of dirty inputs with clean inputs, learning and scale effects …

the U.S. Air Force Small Business Innovation Research (SBIR) program that transitioned from "Conventional topics," which … innovation even in less specific Conventional topics. The results suggest that government (and perhaps private sector) innovation …

study shows that these social networks are an essential driver of knowledge integration and innovation. …

complements problem but not the double mark-up problem. Vertical integration discourages entry and reduces innovation incentives …, while horizontal integration always encourages entry and innovation. …