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Articles 1 - 14 of 14
Full-Text Articles in Law
Knowledge Commons Past, Present, And Future, Michael J. Madison
Knowledge Commons Past, Present, And Future, Michael J. Madison
Articles
The project now known as Governing Knowledge Commons, or GKC, was launched more than 15 years ago on the intuition that skepticism of intellectual property law and information exclusivity was grounded in anecdote and ideology rather than in empiricism. Structured, systematic, empirical research on mechanisms of knowledge sharing was needed. GKC aimed to help scholars produce it. Over multiple books, case studies, and other work, the scope of GKC has expanded considerably, from innovation to governance; from invention and creativity to data, privacy, and markets; and from social dilemmas focused on things to governance strategies directed to communities and collectives. …
Too Much Of A Good Thing? A Governing Knowledge Commons Review Of Abundance In Context, Michael J. Madison, Brett M. Frischmann, Madelyn Sanfilippo, Katherine J. Strandburg
Too Much Of A Good Thing? A Governing Knowledge Commons Review Of Abundance In Context, Michael J. Madison, Brett M. Frischmann, Madelyn Sanfilippo, Katherine J. Strandburg
Articles
The economics of abundance, along with the sociology of abundance, the law of abundance, and so forth, should be re-framed, linked, and situated in a common context for empirical rather than conceptual research. Abundance may seem to be a new, big thing, between anxiety over information overload, Big Data, and related technological disruptions. But scholars know that abundance is an ancient phenomenon, which only seemed to disappear as twentieth century social science focused on scarcity instead. Restoring the study of abundance, and figuring out how to solve the problems that abundance might create, means shedding disciplinary blinders and going back …
The Problem With Assumptions: Revisiting “The Dark Figure Of Sexual Recidivism”, Tamara Rice Lave, Jj Prescott, Grady Bridges
The Problem With Assumptions: Revisiting “The Dark Figure Of Sexual Recidivism”, Tamara Rice Lave, Jj Prescott, Grady Bridges
Articles
What is the actual rate of sexual recidivism given the well‐ known fact that many crimes go unreported? This is a difficult and important problem, and in “The dark figure of sexual recidivism,” Nicholas Scurich and Richard S. John (2019) attempt to make progress on it by “estimat[ing] actual recidivism rates . . . given observed rates of reoffending” (p. 171). In this article, we show that the math in their probabilistic model is flawed, but more importantly, we demonstrate that their conclusions follow ineluctably from their empirical assumptions and the unrepresentative empirical research they cite to benchmark their calculations. …
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 …
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 …
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.
Medical Ai And Contextual Bias, W. Nicholson Price Ii
Medical Ai And Contextual Bias, W. Nicholson Price Ii
Articles
Artificial intelligence will transform medicine. One particularly attractive possibility is the democratization of medical expertise. If black-box medical algorithms can be trained to match the performance of high-level human experts — to identify malignancies as well as trained radiologists, to diagnose diabetic retinopathy as well as board-certified ophthalmologists, or to recommend tumor-specific courses of treatment as well as top-ranked oncologists — then those algorithms could be deployed in medical settings where human experts are not available, and patients could benefit. But there is a problem with this vision. Privacy law, malpractice, insurance reimbursement, and FDA approval standards all encourage developers …
Lawyer As Soothsayer: Exploring The Important Role Of Outcome Prediction In The Practice Of Law, Mark K. Osbeck
Lawyer As Soothsayer: Exploring The Important Role Of Outcome Prediction In The Practice Of Law, Mark K. Osbeck
Articles
Outcome prediction has always been an important part of practicing law. Clients rely heavily on their attorneys to provide accurate assessments of the potential legal consequences they face when making important decisions (such as whether to accept a plea bargain, or risk a conviction on a much more serious offense at trial). And yet, notwithstanding its enormous importance to the practice of law (and notwithstanding the handsome legal fees it commands), outcome prediction in the law remains a very imprecise endeavor. The reason for this inaccuracy is that the three principal tools lawyers have traditionally relied on to facilitate outcome …
Risk And Resilience In Health Data Infrastructure, W. Nicholson Price Ii
Risk And Resilience In Health Data Infrastructure, W. Nicholson Price Ii
Articles
Today’s health system runs on data. However, for a system that generates and requires so much data, the health care system is surprisingly bad at maintaining, connecting, and using those data. In the easy cases of coordinated care and stationary patients, the system works—sometimes. But when care is fragmented, fragmented data often result. Fragmented data create risks both to individual patients and to the system. For patients, fragmentation creates risks in care based on incomplete or incorrect information, and may also lead to privacy risks from a patched together system. For the system, data fragmentation hinders efforts to improve efficiency …
Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii
Artificial Intelligence In Health Care: Applications And Legal Implications, W. Nicholson Price Ii
Articles
Artificial intelligence (AI) is rapidly moving to change the healthcare system. Driven by the juxtaposition of big data and powerful machine learning techniques—terms I will explain momentarily—innovators have begun to develop tools to improve the process of clinical care, to advance medical research, and to improve efficiency. These tools rely on algorithms, programs created from healthcare data that can make predictions or recommendations. However, the algorithms themselves are often too complex for their reasoning to be understood or even stated explicitly. Such algorithms may be best described as “black-box.” This article briefly describes the concept of AI in medicine, including …
What We Think, What We Know And What We Think We Know About False Convictions, Samuel Gross
What We Think, What We Know And What We Think We Know About False Convictions, Samuel Gross
Articles
False convictions are notoriously difficult to study because they can neither be observed when they occur nor identified after the fact by any plausible research strategy. Our best shot is to collect data on those that come to light in legal proceedings that result in the exoneration of the convicted defendants. In May 2012, the National Registry of Exonerations released its first report, covering 873 exonerations from January 1989 through February 2012. By October 15, 2016, we had added 1,027 cases: 599 exonerations since March 1, 2012, and 428 that had already happened when we issued our initial report but …
Riley V. California And The Beginning Of The End For The Third-Party Search Doctrine, David A. Harris
Riley V. California And The Beginning Of The End For The Third-Party Search Doctrine, David A. Harris
Articles
In Riley v. California, the Supreme Court decided that when police officers seize a smart phone, they may not search through its contents -- the data found by looking into the call records, calendars, pictures and so forth in the phone -- without a warrant. In the course of the decision, the Court said that the rule applied not just to data that was physically stored on the device, but also to data stored "in the cloud" -- in remote sites -- but accessed through the device. This piece of the decision may, at last, allow a re-examination of …
Sex Offender Law And The Geography Of Victimization, Amanda Y. Agan, J. J. Prescott
Sex Offender Law And The Geography Of Victimization, Amanda Y. Agan, J. J. Prescott
Articles
Sex offender laws that target recidivism (e.g., community notification and residency restriction regimes) are premised—at least in part—on the idea that sex offender proximity and victimization risk are positively correlated. We examine this relationship by combining past and current address information of registered sex offenders (RSOs) with crime data from Baltimore County, Maryland, to study how crime rates vary across neighborhoods with different concentrations of resident RSOs. Contrary to the assumptions of policymakers and the public, we find that, all else equal, reported sex offense victimization risk is generally (although not uniformly) lower in neighborhoods where more RSOs live. To …
Letting Good Deeds Go Unpunished: Volunteer Immunity Laws And Tort Deterrence, Jill R. Horwitz, Joseph Mead
Letting Good Deeds Go Unpunished: Volunteer Immunity Laws And Tort Deterrence, Jill R. Horwitz, Joseph Mead
Articles
Does tort law deter risky behavior in individuals? We explore this question by examining the relationship between tort immunity and volunteering. During the 1980s and 1990s, nearly every state provided some degree of volunteer immunity. Congress followed with the 1997 Volunteer Protection Act. This article analyzes these acts, identifying three motivations for them: the chilling effects of tort liability, limits on liability insurance, and moral concerns. Using data from the Independent Survey’s Giving and Volunteering surveys, we then identify a large and positive correlation between immunity and volunteering. We next consider the implications of the findings for tort theory and …