Zobrazeno 1 - 10
of 460
pro vyhledávání: '"Frank Morgan"'
Publikováno v:
Crime Science, Vol 11, Iss 1, Pp 1-17 (2022)
Abstract Objective To address the gap in the literature and using a novel open-source intelligence web-scraping approach, this paper investigates the longitudinal relationships between availability, value, and disposability, and stealing counts of sp
Externí odkaz:
https://doaj.org/article/89060c19cc61469888985f778d0c8e92
Higher education plays a critical role in driving an innovative economy by equipping students with knowledge and skills demanded by the workforce. While researchers and practitioners have developed data systems to track detailed occupational skills,
Externí odkaz:
http://arxiv.org/abs/2404.13163
Urban economic resilience is intricately linked to how disruptions caused by pandemics, disasters, and technological shifts ripple through businesses and urban amenities. Disruptions, such as closures of non-essential businesses during the COVID-19 p
Externí odkaz:
http://arxiv.org/abs/2311.18108
Autor:
Frank, Morgan R.
Exciting advances in generative artificial intelligence (AI) have sparked concern for jobs, education, productivity, and the future of work. As with past technologies, generative AI may not lead to mass unemployment. But, unlike past technologies, ge
Externí odkaz:
http://arxiv.org/abs/2311.03595
Publikováno v:
International Journal of Population Data Science, Vol 3, Iss 4 (2018)
Introduction Studies have repeatedly found that a small number of offenders account for a disproportionate amount of crime. High-rate, persistent offenders (so-called ‘prolific’ offenders) have a major impact on local crime rates and public perce
Externí odkaz:
https://doaj.org/article/eb60ef604f6242ea849b9ad462c48886
Is artificial intelligence (AI) disrupting jobs and creating unemployment? Despite many attempts to quantify occupations' exposure to AI, inconsistent validation obfuscates the relative benefits of each approach. A lack of disaggregated labor outcome
Externí odkaz:
http://arxiv.org/abs/2308.02624
Autor:
Minot, Joshua R., Maier, Marc, Demarest, Bradford, Cheney, Nicholas, Danforth, Christopher M., Dodds, Peter Sheridan, Frank, Morgan R.
Over the past decade, the gender pay gap has remained steady with women earning 84 cents for every dollar earned by men on average. Many studies explain this gap through demand-side bias in the labor market represented through employers' job postings
Externí odkaz:
http://arxiv.org/abs/2307.08580
Autor:
Epstein, Ziv, Hertzmann, Aaron, Herman, Laura, Mahari, Robert, Frank, Morgan R., Groh, Matthew, Schroeder, Hope, Smith, Amy, Akten, Memo, Fjeld, Jessica, Farid, Hany, Leach, Neil, Pentland, Alex, Russakovsky, Olga
A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The generative capabilities of these tools are likely to fundamentally al
Externí odkaz:
http://arxiv.org/abs/2306.04141
Autor:
Althobaiti, Shahad, Alabdulkareem, Ahmad, Shen, Judy Hanwen, Rahwan, Iyad, Frank, Morgan, Moro, Esteban, Rutherford, Alex
In this paper we conduct a longitudinal analysis of the structure of labour markets in the US over 7 decades of technological, economic and policy change. We make use of network science, natural language processing and machine learning to uncover str
Externí odkaz:
http://arxiv.org/abs/2204.07073