Structuring U.S. Innovation Policy: Creating a White House Office of Innovation Policy

This article begins with a discussion of innovation’s importance to the future well-being of American society. The authors then discuss limitations of the current federal framework for making innovation policy. Specifically, the relative absence of innovation from the agenda of Congress and many relevant federal agencies manifests the confluence of two regulatory challenges: first, the tendency of political actors to focus on short-term goals and consequences; and second, political actors’ reluctance to threaten powerful incumbent actors. Courts, meanwhile, lack sufficient expertise and the ability to conduct the type of forward-looking policy planning that should be a hallmark of innovation policy. Ultimately, their analysis leads to a proposal that President Obama (or Congress, if Congress is willing) create a White House OIP that would have the specific mission of being the “innovation champion” within these processes. The authors envision OIP as an entity that would be independent of existing federal agencies and that would have more than mere hortatory influence. It would have some authority to push agencies to act in a manner that either affirmatively promoted innovation or achieved a particular regulatory objective in a manner least damaging to innovation. We also envision OIP as an entity that would operate efficiently by drawing upon, and feeding into, existing interagency processes within OIRA and other relevant White House offices (e.g., the Office of Science and Technology Policy)

Who’s Afraid of the APA? What the Patent System Can Learn From Administrative Law

In recent years, widespread dissatisfaction with the perceived poor quality of issued patents has spurred a diverse range of groups to call for reform of administrative procedures. Strikingly, however, most calls for reform pay little attention to principles of administrative law. Similarly, judges (in particular the judges of the Federal Circuit) have treated patent law as an exception to the Administrative Procedure Act, and to administrative law more generally. In this Article, Professors Benjamin and Rai contend that this treatment is doctrinally incorrect and normatively undesirable. Standard principles of administrative law provide the appropriate approach for judicial review in the current system of patent grants and denials. As for proposed reforms, such as the institution of post-grant opposition proceedings, an administrative approach to judicial review is the best mechanism for addressing the collective action/public good problems that inevitably arise in challenges to patent validity. Finally, an administrative approach provides the doctrinally appropriate and normatively desirable institutional foundation for the determinations of economic policy that the patent system should be making

Fixing Innovation Policy: A Structural Perspective

Innovation is central to economic growth and human welfare. Government officials and commentators have recognized this reality and have called for a variety of different substantive incentives for stimulating innovation. But the question of how an innovation regulator should be structured has received little attention. Such consideration is important not only because of the significance of innovation but also because current government innovation policy is so haphazard. There is no government entity that looks at innovation broadly, and the narrower agencies that regulate aspects of innovation policy not only fail to pay systematic attention to innovation goals but often act at cross-purposes with each other. In this article, Professors Benjamin and Rai analyze how government policy on innovation should be structured. Drawing on existing theoretical and empirical work, as well as their own original empirical research, they propose the creation of an entity in the executive branch that would both analyze pending agency action and offer regulatory suggestions of its own. This entity would introduce a new, trans-agency focus on innovation while drawing upon, and feeding into, existing executive branch processes that aim to rationalize the work of disparate federal agencies. This approach, Professors Benjamin and Rai contend, offers a great improvement over existing government institutions while avoiding a costly (and politically infeasible) remaking of the administrative state

Data Assimilation: A Mathematical Introduction

These notes provide a systematic mathematical treatment of the subject of data assimilation

Gene dynamics of toll-like receptor 4 through a population bottleneck in an insular population of water voles (Arvicola amphibius)

Acknowledgments We would like to thank all colleagues who have contributed to fieldwork and sampling during this study. We would especially like to thank Marius Wenzel and Sandra Telfer for collaboration with different aspects of the study, and Dave Jones and Nat Jones for Bartonella PCR assays. This work was supported by the BBSRC studentship to MKG (BB/J01446X/1) and a NERC studentship to MKO. The research was carried out under project license PPL 40/1813.Peer reviewedPublisher PD

Gentrification and Neighborhood Housing Cycles: Will America’s Future Downtowns Be Rich?

This paper identifies a new factor, the age of the housing stock, that affects where high- and low-income neighborhoods are located in U.S. cities. High-income households, driven by a high demand for housing services, will tend to locate in areas of the city where the housing stock is relatively young. Because cities develop and redevelop from the center outward over time, the location of these neighborhoods varies over the city’s history. The model predicts a suburban location for the rich in an initial period, when young dwellings are found only in the suburbs, while predicting eventual gentrification once central redevelopment creates a young downtown housing stock. Empirical work indicates that if the influence of spatial variation in dwelling ages were eliminated, longstanding central city/suburban disparities in neighborhood economic status would be reduced by up to 50 percent. Model estimates further predict that between 2000 and 2020, central-city/suburban differences in economic status will widen somewhat in smaller cities but narrow sharply in the largest American cities as they become more gentrified.

Computer simulation of on-orbit manned maneuvering unit operations

Simulation of spacecraft on-orbit operations is discussed in reference to Martin Marietta's Space Operations Simulation laboratory's use of computer software models to drive a six-degree-of-freedom moving base carriage and two target gimbal systems. In particular, key simulation issues and related computer software models associated with providing real-time, man-in-the-loop simulations of the Manned Maneuvering Unit (MMU) are addressed with special attention given to how effectively these models and motion systems simulate the MMU's actual on-orbit operations. The weightless effects of the space environment require the development of entirely new devices for locomotion. Since the access to space is very limited, it is necessary to design, build, and test these new devices within the physical constraints of earth using simulators. The simulation method that is discussed here is the technique of using computer software models to drive a Moving Base Carriage (MBC) that is capable of providing simultaneous six-degree-of-freedom motions. This method, utilized at Martin Marietta's Space Operations Simulation (SOS) laboratory, provides the ability to simulate the operation of manned spacecraft, provides the pilot with proper three-dimensional visual cues, and allows training of on-orbit operations. The purpose here is to discuss significant MMU simulation issues, the related models that were developed in response to these issues and how effectively these models simulate the MMU's actual on-orbiter operations

Gentrification and Neighborhood Housing Cycles: Will America's Future Downtowns be Rich?

This paper identifies a new factor, the age of the housing stock, that affects where high- and low-income neighborhoods are located in U.S. cities. High-income households, driven by a high demand for housing services, will tend to locate in areas of the city where the housing stock is relatively young. Because cities develop and redevelop from the center outward over time, the location of these neighborhoods varies over the city’s history. The model predicts a suburban location for the rich in an initial period, when young dwellings are found only in the suburbs, while predicting eventual gentrification once central redevelopment creates a young downtown housing stock. Empirical work indicates that if the influence of spatial variation in dwelling ages were eliminated, longstanding central city/suburban disparities in neighborhood economic status would be reduced by up to 50 percent. Model estimates further predict that between 2000 and 2020, central-city/suburban differences in economic status will widen somewhat in smaller cities but narrow sharply in the largest American cities as they become more gentrified.spatial expansion of cities, housing cycles, urban expansion