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2016

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Full-Text Articles in Science and Technology Law

The Challenge Of Regulatory Excellence, Cary Coglianese Dec 2016

The Challenge Of Regulatory Excellence, Cary Coglianese

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Regulation is a high-stakes enterprise marked by tremendous challenges and relentless public pressure. Regulators are expected to protect the public from harms associated with economic activity and technological change without unduly impeding economic growth or efficiency. Regulators today also face new demands, such as adapting to rapidly changing and complex financial instruments, the emergence of the sharing economy, and the potential hazards of synthetic biology and other innovations. Faced with these challenges, regulators need a lodestar for what constitutes high-quality regulation and guidance on how to improve their organizations’ performance. In the book Achieving Regulatory Excellence, leading regulatory experts …


Open Source, Modular Platforms, And The Challenge Of Fragmentation, Christopher S. Yoo Nov 2016

Open Source, Modular Platforms, And The Challenge Of Fragmentation, Christopher S. Yoo

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Open source and modular platforms represent two powerful conceptual paradigms that have fundamentally transformed the software industry. While generally regarded complementary, the freedom inherent in open source rests in uneasy tension with the strict structural requirements required by modularity theory. In particular, third party providers can produce noncompliant components, and excessive experimentation can fragment the platform in ways that reduce its economic benefits for end users and app providers and force app providers to spend resources customizing their code for each variant. The classic solutions to these problems are to rely on some form of testing to ensure that the …


Law, Responsibility, And The Sciences Of The Brain/Mind, Stephen J. Morse Apr 2016

Law, Responsibility, And The Sciences Of The Brain/Mind, Stephen J. Morse

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This chapter is a submission to the Oxford Handbook of Law and the Regulation of Technology edited by Roger Brownsword. It considers whether the new sciences of the brain/mind, especially neuroscience and behavioral genetics, are likely to transform the law’s traditional concepts of the person, agency and responsibility. The chapter begins with a brief speculation about why so many people think these sciences will transform the law. After reviewing the law’s concepts, misguided challenges to them, and the achievements of the new sciences, the chapter confronts the claim that these sciences prove that we are really not agents and that …


Making Civilian Drones Safe: Performance Standards, Self-Certification, And Post-Sale Data Collection, Henry Perritt, Albert Plawinski Jan 2016

Making Civilian Drones Safe: Performance Standards, Self-Certification, And Post-Sale Data Collection, Henry Perritt, Albert Plawinski

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With millions of small drones in private hands, the FAA continues its struggle to develop an effective regulatory regime to comply with Congress’s mandate to integrate them into the national airspace system. Thousands of individuals and small businesses have obtained authorization from the FAA—"section 333 exemptions"—allowing them to fly their drones commercially. Farmers, TV stations, surveyors, construction-site supervisors, real estate agents, people selling their properties, and managers seeking cheaper and safer ways to inspect their facilities, want to hire the exemption holders, but many are holding back until the FAA clarifies the groundrules.The FAA understands that its traditional approach for …


Modularity Theory And Internet Regulation, Christopher S. Yoo Jan 2016

Modularity Theory And Internet Regulation, Christopher S. Yoo

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Modularity is often cited as one of the foundations for the Internet’s success. Unfortunately, academic discussions about modularity appearing in the literature on Internet policy are undertheorized. The persistence of nonmodular architectures for some technologies underscores the need for some theoretical basis for determining when modularity is the preferred approach. Even when modularity is desirable, theory must provide some basis for making key design decisions, such as the number of modules, the location of the interfaces between the modules, and the information included in those interfaces.

The literature on innovation indicates that modules should be determined by the nature of …


Wireless Network Neutrality: Technological Challenges And Policy Implications, Christopher S. Yoo Jan 2016

Wireless Network Neutrality: Technological Challenges And Policy Implications, Christopher S. Yoo

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One key aspect of the debate over network neutrality has been whether and how network neutrality should apply to wireless networks. The existing commentary has focused on the economics of wireless network neutrality, but to date a detailed analysis of how the technical aspects of wireless networks affect the implementation of network neutrality has yet to appear in the literature. As an initial matter, bad handoffs, local congestion, and the physics of wave propagation make wireless broadband networks significantly less reliable than fixed broadband networks. These technical differences require the network to manage dropped packets and congestion in a way …


Telecommunications: Competition Policy In The Telecommunications Space, Gene Kimmelman, Maureen K. Ohlhausen, Michael O’Rielly, Christopher S. Yoo, Stephen F. Williams Jan 2016

Telecommunications: Competition Policy In The Telecommunications Space, Gene Kimmelman, Maureen K. Ohlhausen, Michael O’Rielly, Christopher S. Yoo, Stephen F. Williams

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In today’s rapidly evolving telecommunications landscape, the development of new technologies and distribution platforms are driving innovation and growth at a breakneck speed across the Internet ecosystem. Broadband connectivity is increasingly important to our civil discourse, our economy, and our future. What is the proper role of government in facilitating robust investment and competition in this critical sector? When technology companies constantly have to reinvent themselves and adapt to survive – what role should government play? This panel of experts at the Federalist Society’s 2014 National Lawyers Convention discussed the current regulatory environment and how government policies – particularly regarding …


Optimizing Government For An Optimizing Economy, Cary Coglianese Jan 2016

Optimizing Government For An Optimizing Economy, Cary Coglianese

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Much entrepreneurial growth in the United States today emanates from technological advances that optimize through contextualization. Innovations as varied as Airbnb and Uber, fintech firms and precision medicine, are transforming major sectors in the economy by customizing goods and services as well as refining matches between available resources and interested buyers. The technological advances that make up the optimizing economy create new challenges for government oversight of the economy. Traditionally, government has overseen economic activity through general regulations that aim to treat all individuals equally; however, in the optimizing economy, business is moving in the direction of greater individualization, not …


Predicting The Knowledge–Recklessness Distinction In The Human Brain, Iris Vilares, Michael J. Wesley, Woo-Young Woo-Young Ahn, Richard J. Bonnie, Morris B. Hoffman, Owen D. Jones, Stephen J. Morse, Gideon Yaffe, Terry Lohrenz, Read Montague Jan 2016

Predicting The Knowledge–Recklessness Distinction In The Human Brain, Iris Vilares, Michael J. Wesley, Woo-Young Woo-Young Ahn, Richard J. Bonnie, Morris B. Hoffman, Owen D. Jones, Stephen J. Morse, Gideon Yaffe, Terry Lohrenz, Read Montague

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Criminal convictions require proof that a prohibited act was performed in a statutorily specified mental state. Different legal consequences, including greater punishments, are mandated for those who act in a state of knowledge, compared with a state of recklessness. Existing research, however, suggests people have trouble classifying defendants as knowing, rather than reckless, even when instructed on the relevant legal criteria.

We used a machine-learning technique on brain imaging data to predict, with high accuracy, which mental state our participants were in. This predictive ability depended on both the magnitude of the risks and the amount of information about those …