Public Administration Commons^™

Aclp - Broadband Planning Tool Kit - October 2022, New York Law School

Reports and Resources

This Tool Kit provides state and local policymakers with a range of resources and analyses for use during broadband planning. The Tool Kit focuses on the array of grant and other funding opportunities available to states and localities as a result of the Infrastructure Investment & Jobs Act, as well as other pandemic-era stimulus programs. However, the Tool Kit is also useful for broadband planning outside of these specific funding programs. Indeed, the Tool Kit offers foundational planning resources that can be used now and in the future by officials, ISPs, and other stakeholders in the broadband space.

Public Acceptance Of Medical Screening Recommendations, Safety Risks, And Implied Liabilities Requirements For Space Flight Participation, Cory J. Trunkhill

Doctoral Dissertations and Master's Theses

The space tourism industry is preparing to send space flight participants on orbital and suborbital flights. Space flight participants are not professional astronauts and are not subject to the rules and guidelines covering space flight crewmembers. This research addresses public acceptance of current Federal Aviation Administration guidance and regulations as designated for civil participation in human space flight.

The research utilized an ordinal linear regression analysis of survey data to explore the public acceptance of the current medical screening recommended guidance and the regulations for safety risk and implied liability for space flight participation. Independent variables constituted participant demographic representations …

Moving Toward Personalized Law, Cary Coglianese

All Faculty Scholarship

Rules operate as a tool of governance by making generalizations, thereby cutting down on government officials’ need to make individual determinations. But because they are generalizations, rules can result in inefficient or perverse outcomes due to their over- and under-inclusiveness. With the aid of advances in machine-learning algorithms, however, it is becoming increasingly possible to imagine governments shifting away from a predominant reliance on general rules and instead moving toward increased reliance on precise individual determinations—or on “personalized law,” to use the term Omri Ben-Shahar and Ariel Porat use in the title of their 2021 book. Among the various technological, …

Algorithm Vs. Algorithm, Cary Coglianese, Alicia Lai

All Faculty Scholarship

Critics raise alarm bells about governmental use of digital algorithms, charging that they are too complex, inscrutable, and prone to bias. A realistic assessment of digital algorithms, though, must acknowledge that government is already driven by algorithms of arguably greater complexity and potential for abuse: the algorithms implicit in human decision-making. The human brain operates algorithmically through complex neural networks. And when humans make collective decisions, they operate via algorithms too—those reflected in legislative, judicial, and administrative processes. Yet these human algorithms undeniably fail and are far from transparent. On an individual level, human decision-making suffers from memory limitations, fatigue, …

The Program To Reduce Implicit Bias In Carroll Hospital Center Using The Implicit Association Test, Katherine E. Traynor

Capstone Showcase

Natural brain processes make all individuals susceptible to unconscious bias; however, stressful, fearful, or anger-evoking situations as well as the negative influence of media and social surroundings increase the risk of holding obstructive bias, and there is a greater risk of being negatively impacted by this phenomenon when belonging to a minority population (Rose & Flores, 2020). As a result, high rates of infant mortality (10.2 deaths per 1,000 live births for the Non-Hispanic Black population compared to 4.1 in the White population) and cardiovascular related diseases (190.0 cases per 1,000 in the Non-Hispanic Black population compared to 161.3 in …

From Negative To Positive Algorithm Rights, Cary Coglianese, Kat Hefter

All Faculty Scholarship

Artificial intelligence, or “AI,” is raising alarm bells. Advocates and scholars propose policies to constrain or even prohibit certain AI uses by governmental entities. These efforts to establish a negative right to be free from AI stem from an understandable motivation to protect the public from arbitrary, biased, or unjust applications of algorithms. This movement to enshrine protective rights follows a familiar pattern of suspicion that has accompanied the introduction of other technologies into governmental processes. Sometimes this initial suspicion of a new technology later transforms into widespread acceptance and even a demand for its use. In this paper, we …