The Disconnect Between Law and Policy Analysis: A Case Study of Drivers and Cell Phones

Author(s):  
Robert W. Hahn ◽  
Patrick M. Dudley
Data in Brief ◽  
2018 ◽  
Vol 20 ◽  
pp. 80-84 ◽  
Author(s):  
Amin Dorost ◽  
Yayha Safari ◽  
Maliheh Akhlaghi ◽  
Marzieh Soleimani ◽  
Nasrin Yoosefpour

2020 ◽  
Vol 27 (8) ◽  
pp. 1270-1286
Author(s):  
Karen Turner ◽  
Oluwafisayo Alabi ◽  
Julia Race

1981 ◽  
Vol 76 (374) ◽  
pp. 500
Author(s):  
Werner Z. Hirsch ◽  
Warren E. Walker ◽  
Jan M. Chaiken ◽  
Edward J. Ignall

2018 ◽  
Vol 33 (1) ◽  
pp. 158-180 ◽  
Author(s):  
Carrie Sampson

States’ increasing involvement in educational policy making can play a significant role in how school districts provide equitable educational opportunities. Guided by critical policy analysis, the purpose of this article is to examine state-level policy pertaining to English learners (ELs) from district-level perspectives. Based on interview and archival data from a multiple case study of three metropolitan school districts in different states, district-level perspectives illustrate how these state-level policies were symbolic, restrictive, or exclusionary toward ELs. The results also demonstrate ways that districts advocated, engaged, resisted, and navigated state-level policies and politics. Based on these findings, I argue that state-level policies and related politics can compromise school districts’ ability to provide ELs with adequate educational opportunities.


2019 ◽  
Vol 28 (3) ◽  
pp. 262-289 ◽  
Author(s):  
Kath Murray ◽  
Lucy Hunter Blackburn

Within the last two years, respective proposals by the Scottish and UK Governments to reform the Gender Recognition Act 2004 (GRA) to allow people to change their legal sex based only on making a legally-registered self-declaration have sparked an intense debate on how sex and gender identity should be defined in law and policy. This paper examines how gender self-identification had in fact become a feature of Scottish policy-making and practice, long before public consultation on GRA reform began. The analysis is structured as two case-studies that examine firstly, policy development on the census in relation to the ‘sex’ question, and second, Scottish Prison Service policy on transgender prisoners. The analysis shows that the unregulated roll-out of gender self-identification in Scotland has taken place with weak or non-existent scrutiny and a lack of due process, and that this relates to a process of policy capture, whereby decision-making on sex and gender identity issues has been directed towards the interests of a specific interest group, without due regard for other affected groups or the wider population. The paper raises questions about the adequacy of institutional safeguards against well-organised and highly purposeful lobbying, particularly where any groups detrimentally affected do not have effective representation.


2019 ◽  
Vol 6 (2) ◽  
pp. 205395171986849 ◽  
Author(s):  
Meg Young ◽  
Michael Katell ◽  
P. M. Krafft

A wave of recent scholarship has warned about the potential for discriminatory harms of algorithmic systems, spurring an interest in algorithmic accountability and regulation. Meanwhile, parallel concerns about surveillance practices have already led to multiple successful regulatory efforts of surveillance technologies—many of which have algorithmic components. Here, we examine municipal surveillance regulation as offering lessons for algorithmic oversight. Taking the 2017 Seattle Surveillance Ordinance as our primary case study and surveying efforts across five other cities, we describe the features of existing surveillance regulation; including procedures for describing surveillance technologies in detail, requirements for public engagement, and processes for establishing acceptable uses. Although the Seattle Surveillance Ordinance was not intended to address algorithmic accountability, we find these considerations to be relevant to the law’s aim of surfacing disparate impacts of systems in use. We also find that in notable cases government employees did not identify regulated algorithmic surveillance technologies as reliant on algorithmic or machine learning systems, highlighting definitional gaps that could hinder future efforts toward algorithmic regulation. We argue that (i) finer-grained distinctions between types of information systems in the language of law and policy, and (ii) risk assessment tools integrated into their implementation would strengthen future regulatory efforts by rendering underlying algorithmic components more legible and accountable to political and community stakeholders.


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