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Conference held Sept. 18-19, 2000, Washington, DC. The purpose of the conference was to engage a group of citizens in a thoughtful, meaningful dialogue about issues of prevention, identification, recognition, and referral of children with mental health needs to appropriate, evidence-based treatments or services.
A calculation of the social returns to innovation /Benjamin F. Jones and Lawrence H. Summers --Innovation and human capital policy /John Van Reenen --Immigration policy levers for US innovation and start-ups /Sari Pekkala Kerr and William R. Kerr --Scientific grant funding /Pierre Azoulay and Danielle Li --Tax policy for innovation /Bronwyn H. Hall --Taxation and innovation: what do we know? /Ufuk Akcigit and Stefanie Stantcheva --Government incentives for entrepreneurship /Josh Lerner.
Consists of two papers prepared as resources for an invitational conference sponsored by NIE and a paper describing the conference proceedings.
Includes regular annual and special meetings classed Ju 10.10/2:; a separate publication containing both meetings and the Annual report of the director of the Administrative Office of the United States Courts is issued annually, classed: Ju 10.1:
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
This volume offers contributions to questions relating to the economics of innovation and technological change. Central to the development of new technologies are institutional environments and among the topics discussed are the roles played by universities and the ways in which the allocation of funds affects innovation.