Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Eric Best

Biographic Data

ID3700165
NAMEEric Best
GIVEN NAMESEric
FAMILY NAMEBest
SIGNATUREBEST E
AFFILIATIONSUniversity of Delaware
ORCID0000-0001-9636-8501
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS4
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Building Trust in Government AI: Balancing Innovation and Privacy in Healthcare Services

    Open Access•Pedro Robles, Lauren Azevedo et al.•ARTICLE•Public Organization Review•2026

    The increasing integration of artificial intelligence in healthcare services has raised concerns about privacy, accountability, and public trust, particularly for vulnerable populations. This study examines state-level governance frameworks regulating artificial intelligence in the United States healthcare. It analyzes 141 enacted state laws to identify key regulatory themes, including data privacy, electronic health records, patient consent, bio…

  • Artificial intelligence policy, the Trump Administration, and federalism

    Open Access•Daniel J Mallinson, Lauren Azevedo et al.•ARTICLE•Administrative Theory & Praxis•2025•Cited by: 1•References: 5

  • AI Policies, Equity, and Morality and the Implications for Faculty in Higher Education

    Lauren Azevedo, Daniel J Mallinson et al.•ARTICLE•Public Integrity•2024•Cited by: 1•References: 59

  • A Computational Study of the Station Nightclub Fire Accounting for Social Relationships

    Open Access•Sherif El‐tawil, Sherif El-Tawil et al.•ARTICLE•Journal of Artificial Societies…•2017

    Using agent-based modeling, this study presents the results of a computational study of social relationships among more than four hundreds evacuees in The Station Nightclub building in Rhode Island. The fire occurred on the night of February , and resulted in fatalities. A er summarizing and calibrating the computational method used, parametric studies are conducted to quantitatively investigate the influences of the presence of social relationsh…

  • The Shifting Landscape for Student Loans

    Open Access•Joel Best, Eric Best•ARTICLE•Society•2016

  • A critique of the official report on the evacuation of the World Trade Center: Continued Doubts

    Open Access•H Lawrence Hotchki, H Lawrence Hotchkiss et al.•ARTICLE•Disasters•2013•Cited by: 1•References: 8

    This paper criticises the conclusions and the unanswered questions in the National Institute of Standards and Technology (NIST)'s official report on the evacuation of the World Trade Center in New York City, United States, on 11 September 2001. It reviews the extent to which the report disregards several conventional statistical methods and comments on the NIST's refusal to share the machine-readable data file with the scientific community for re…

  • Debt and the American Dream

    Open Access•Eric Best•ARTICLE•Society•2012

  • Contributions of social science to agent-based models of building evacuation

    B E Aguirre, Sherif El‐tawil et al.•ARTICLE•Contemporary Social Science•2011•Cited by: 1•References: 6

    This paper describes the general characteristics of the agent-based models (ABM) approach to the simulation of building evacuations, and offers details of some popular computer codes for building evacuation. Contemporary ABM computer programming emphasising the characteristics of individuals and their propensities to act should be supplemented with codes informed by group-level dimensions such as norms, values, commitments to lines of action, lea…

  • Artificial intelligence policy, the Trump Administration, and federalism

    Open Access•Daniel J Mallinson, Lauren Azevedo et al.•ARTICLE•Administrative Theory & Praxis•2025•Cited by: 1•References: 5

  • AI Policies, Equity, and Morality and the Implications for Faculty in Higher Education

    Lauren Azevedo, Daniel J Mallinson et al.•ARTICLE•Public Integrity•2024•Cited by: 1•References: 59

  • A critique of the official report on the evacuation of the World Trade Center: Continued Doubts

    Open Access•H Lawrence Hotchki, H Lawrence Hotchkiss et al.•ARTICLE•Disasters•2013•Cited by: 1•References: 8

    This paper criticises the conclusions and the unanswered questions in the National Institute of Standards and Technology (NIST)'s official report on the evacuation of the World Trade Center in New York City, United States, on 11 September 2001. It reviews the extent to which the report disregards several conventional statistical methods and comments on the NIST's refusal to share the machine-readable data file with the scientific community for re…

  • Contributions of social science to agent-based models of building evacuation

    B E Aguirre, Sherif El‐tawil et al.•ARTICLE•Contemporary Social Science•2011•Cited by: 1•References: 6

    This paper describes the general characteristics of the agent-based models (ABM) approach to the simulation of building evacuations, and offers details of some popular computer codes for building evacuation. Contemporary ABM computer programming emphasising the characteristics of individuals and their propensities to act should be supplemented with codes informed by group-level dimensions such as norms, values, commitments to lines of action, lea…

  • Contributions of social science to agent-based models of building evacuation

    B E Aguirre, Sherif El‐tawil et al.•ARTICLE•Contemporary Social Science•2011•Cited by: 1•References: 6

    This paper describes the general characteristics of the agent-based models (ABM) approach to the simulation of building evacuations, and offers details of some popular computer codes for building evacuation. Contemporary ABM computer programming emphasising the characteristics of individuals and their propensities to act should be supplemented with codes informed by group-level dimensions such as norms, values, commitments to lines of action, lea…

  • Debt and the American Dream

    Open Access•Eric Best•ARTICLE•Society•2012

  • A critique of the official report on the evacuation of the World Trade Center: Continued Doubts

    Open Access•H Lawrence Hotchki, H Lawrence Hotchkiss et al.•ARTICLE•Disasters•2013•Cited by: 1•References: 8

    This paper criticises the conclusions and the unanswered questions in the National Institute of Standards and Technology (NIST)'s official report on the evacuation of the World Trade Center in New York City, United States, on 11 September 2001. It reviews the extent to which the report disregards several conventional statistical methods and comments on the NIST's refusal to share the machine-readable data file with the scientific community for re…

  • The Shifting Landscape for Student Loans

    Open Access•Joel Best, Eric Best•ARTICLE•Society•2016

  • A Computational Study of the Station Nightclub Fire Accounting for Social Relationships

    Open Access•Sherif El‐tawil, Sherif El-Tawil et al.•ARTICLE•Journal of Artificial Societies…•2017

    Using agent-based modeling, this study presents the results of a computational study of social relationships among more than four hundreds evacuees in The Station Nightclub building in Rhode Island. The fire occurred on the night of February , and resulted in fatalities. A er summarizing and calibrating the computational method used, parametric studies are conducted to quantitatively investigate the influences of the presence of social relationsh…

  • AI Policies, Equity, and Morality and the Implications for Faculty in Higher Education

    Lauren Azevedo, Daniel J Mallinson et al.•ARTICLE•Public Integrity•2024•Cited by: 1•References: 59

  • Artificial intelligence policy, the Trump Administration, and federalism

    Open Access•Daniel J Mallinson, Lauren Azevedo et al.•ARTICLE•Administrative Theory & Praxis•2025•Cited by: 1•References: 5

  • Building Trust in Government AI: Balancing Innovation and Privacy in Healthcare Services

    Open Access•Pedro Robles, Lauren Azevedo et al.•ARTICLE•Public Organization Review•2026

    The increasing integration of artificial intelligence in healthcare services has raised concerns about privacy, accountability, and public trust, particularly for vulnerable populations. This study examines state-level governance frameworks regulating artificial intelligence in the United States healthcare. It analyzes 141 enacted state laws to identify key regulatory themes, including data privacy, electronic health records, patient consent, bio…

Economics (5 works) · Ethics and Social Impacts of AI (3 works) · Evacuation and Crowd Dynamics (3 works) · Political science (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Computer Science (2 works) · Computer security (2 works) · Econometrics (2 works) · Engineering (2 works) · Finance (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae