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Articles 1 - 9 of 9
Full-Text Articles in Law
Inescapable Surveillance, Matthew Tokson
Inescapable Surveillance, Matthew Tokson
Utah Law Faculty Scholarship
Until recently, Supreme Court precedent dictated that a person waives their Fourth Amendment rights in information they disclose to another party. The Court reshaped this doctrine in Carpenter v. United States, establishing that the Fourth Amendment protects cell phone location data even though it is revealed to others. The Court emphasized that consumers had little choice but to disclose their data, because cell phone use is virtually inescapable in modern society.
In the wake of Carpenter, many scholars and lower courts have endorsed inescapability as an important factor for determining Fourth Amendment rights. Under this approach, surveillance that people cannot …
Mapping The Iceberg: The Impact Of Data Sources On The Study Of District Courts, Christina L. Boyd, Pauline T. Kim, Margo Schlanger
Mapping The Iceberg: The Impact Of Data Sources On The Study Of District Courts, Christina L. Boyd, Pauline T. Kim, Margo Schlanger
Articles
Three decades ago, Siegelman and Donohue aptly characterized research about courts and litigation that relied only on published opinions as “studying the iceberg from its tip.” They implored researchers to view published district court opinions “with greater sensitivity to the ways in which such cases are unrepresentative of all cases”. The dynamic, multistage nature of trial court litigation makes a focus solely on published opinions particularly ill-suited to the study of federal district courts. Expanded electronic access to court documents now allows more pre-cise analysis of the ways in which published cases are unrepresentative and what differences that makes for …
Innovative Approaches To Diversion Data, Sean Flynn, Robin Olsen, Maggie Wolk
Innovative Approaches To Diversion Data, Sean Flynn, Robin Olsen, Maggie Wolk
Articles in Law Reviews & Other Academic Journals
Prosecutors across the country are collecting and using data to make decisions in their offices. At the same time, prosecutors are interested in developing and sustaining prosecutorial diversion approaches. Prosecutors can use data to assist in decision-making regarding diversion case processing choices as well as to make office policy and resource allocation decisions that, in turn, support expanded diversion programs. Data collection can help prosecutors decide if a prosecutorial diversion program will work for them, and if so, what characteristics it should have. Finally, data can help prosecutors see whether they are obtaining their intended outcomes. Prosecutors possess varying levels …
Best Practices In Data Driven Development Planning In Mining Regions, Nicolas Maennling, Josefina Correa
Best Practices In Data Driven Development Planning In Mining Regions, Nicolas Maennling, Josefina Correa
Columbia Center on Sustainable Investment Staff Publications
Strategic development planning has long been used by private and public sectors to guide actions that will lead to a determined goal in the medium- to long-term. The SDG framework has helped to create a common language of what development means, what the global objectives are by 2030, and how progress can be measured. With the world entering an era in which data is generated and used at an unprecedented scale, data and ICT systems should be used to better inform policy decision making and help evaluate progress to hold stakeholders accountable to their promises and performance. This report outlines …
Gdpr And The Importance Of Data To Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Gdpr And The Importance Of Data To Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Faculty Scholarship
What is the impact of the European Union’s General Data Protection Regime (“GDPR”) and data regulation on AI startups? How important is data to AI product development? We study these questions using unique survey data of commercial AI startups. AI startups rely on data for their product development. Given the scale and scope of their business models, these startups are particularly susceptible to policy changes impacting data collection, storage and use. We find that training data and frequent model refreshes are particularly important for AI startups that rely on neural nets and ensemble learning algorithms. We also find that firms …
Racial Profiling: Past, Present, And Future, David A. Harris
Racial Profiling: Past, Present, And Future, David A. Harris
Articles
It has been more than two decades since the introduction of the first bill in Congress that addressed racial profiling in 1997. Between then and now, Congress never passed legislation on the topic, but more than half the states passed laws and many police departments put anti-profiling policies in place to combat it. The research and data on racial profiling has grown markedly over the last twenty-plus years. We know that the practice is real (contrary to many denials), and the data reveal racial profiling’s shortcomings and great social costs. Nevertheless, racial profiling persists. While it took root most prominently …
Symposium: The California Consumer Privacy Act, Margot Kaminski, Jacob Snow, Felix Wu, Justin Hughes
Symposium: The California Consumer Privacy Act, Margot Kaminski, Jacob Snow, Felix Wu, Justin Hughes
Publications
This symposium discussion of the Loyola of Los Angeles Law Review focuses on the newly enacted California Consumer Privacy Act (CPPA), a statute signed into state law by then-Governor Jerry Brown on June 28, 2018 and effective as of January 1, 2020. The panel was held on February 20, 2020.
The panelists discuss how businesses are responding to the new law and obstacles for consumers to make effective use of the law’s protections and rights. Most importantly, the panelists grapple with questions courts are likely to have to address, including the definition of personal information under the CCPA, the application …
Tools For Data Governance, Michael J. Madison
Tools For Data Governance, Michael J. Madison
Articles
This article describes the challenges of data governance in terms of the broader framework of knowledge commons governance, an institutional approach to governing shared knowledge, information, and data resources. Knowledge commons governance highlights the potential for effective community- and collective-based governance of knowledge resources. The article focuses on key concepts within the knowledge commons framework rather than on specific law and public policy questions, directing the attention of researchers and policymakers to critical inquiry regarding relevant social groups and relevant data “things.” Both concepts are key tools for effective data governance.
Data Governance And The Emerging University, Michael J. Madison
Data Governance And The Emerging University, Michael J. Madison
Book Chapters
Knowledge and information governance questions are tractable primarily in institutional terms, rather than in terms of abstractions such as knowledge itself or individual or social interests. This chapter offers the modern research university as an example. Practices of data-intensive research by university-based researchers, sometimes reduced to the popular phrase “Big Data,” pose governance challenges for the university. The chapter situates those challenges in the traditional understanding of the university as an institution for understanding forms and flows of knowledge. At a broad level, the chapter argues that the new salience of data exposes emerging shifts in the social, cultural, and …