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 …

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 …

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

fulfill the responsibilities they have been assigned in fostering innovation. But I argue here that in their moments of …

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 …

We estimate the determinants of various types of product innovation. Knowledge spillovers from rivals have a positive … exert no such independent influence on drastic innovation activities. The results support the hypothesis that establishments …

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. …