13,707 research outputs found

    Out of Practice: The Twenty-First-Century Legal Profession

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    Lawyering has changed dramatically in the past century, but scholarly and regulatory models have failed to keep pace. Because these models focus exclusively on the practice of law as defined by the profession, they ignore many types of work that today\u27s lawyers perform and many sources of ethical tension they encounter. To address these shortcomings, I examine significant twentieth- and twenty-first-century social dynamics that are fundamentally altering contemporary lawyers\u27 work by broadening and blurring the boundary between law and business. Within the resulting boundary zone, a growing number of lawyers occupy roles for which legal training is valuable but licensure is not required. I argue that the ambiguity surrounding these roles—regarding what constitutes legal practice, what roles lawyers play, and what professional obligations attach—creates opportunities for abuse by individual lawyers and for ethical arbitrage by sophisticated corporate clients. The proliferation of these roles gives rise to key ethical tensions, ignored by existing models of the profession, that threaten to extinguish the profession\u27s public-facing orientation in favor of its private interests. I conclude that we cannot effectively understand and regulate the twenty-firstcentury legal profession until we move beyond the rigid constraints of existing models and begin to study the full range of roles and work settings—both in and out of practice—that today\u27s lawyers occupy

    One Green America: Continuities and Discontinuities in Environmental Federalism in the United States

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    Escaping the Abdication Trap When Cooperative Federalism Fails: Legal Reform After Flint

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    A Simple Approach to Preventing the Next Housing Crisis-Why We Need ONe, What One Would Look Like, and Why Dodd-Frank Isn\u27t It

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    This article considers the adequacy of The Dodd-Frank Act in terms of its potential ability to prevent another crisis in the housing market. The author argues that Dodd-Frank, even if implemented broadly, will not address the key problem of excess complexity in the housing and financial markets. The author then suggests additional reform focusing on simplicity, exemplified by the existing regulatory framework in Denmark. Lastly, the author addresses the current political economy, which is blamed for making the passage of effective regulation too difficult

    An elastomeric grating coupler

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    We report on a novel nondestructive and reversible method for coupling free space light to planar optical waveguides. In this method, an elastomeric grating is used to produce an effective refractive index modulation on the surface of the optical waveguide. The external elastomeric grating binds to the surface of the waveguide with van der Waals forces and makes conformal contact without any applied pressure. As a demonstration of the feasibility of the approach, we use it to measure the refractive index of a silicon oxynitride film. This technique is nondestructive, reversible, low cost and can easily be applied to the characterization of optical materials for integrated optics

    Credit assignment in multiple goal embodied visuomotor behavior

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    The intrinsic complexity of the brain can lead one to set aside issues related to its relationships with the body, but the field of embodied cognition emphasizes that understanding brain function at the system level requires one to address the role of the brain-body interface. It has only recently been appreciated that this interface performs huge amounts of computation that does not have to be repeated by the brain, and thus affords the brain great simplifications in its representations. In effect the brain’s abstract states can refer to coded representations of the world created by the body. But even if the brain can communicate with the world through abstractions, the severe speed limitations in its neural circuitry mean that vast amounts of indexing must be performed during development so that appropriate behavioral responses can be rapidly accessed. One way this could happen would be if the brain used a decomposition whereby behavioral primitives could be quickly accessed and combined. This realization motivates our study of independent sensorimotor task solvers, which we call modules, in directing behavior. The issue we focus on herein is how an embodied agent can learn to calibrate such individual visuomotor modules while pursuing multiple goals. The biologically plausible standard for module programming is that of reinforcement given during exploration of the environment. However this formulation contains a substantial issue when sensorimotor modules are used in combination: The credit for their overall performance must be divided amongst them. We show that this problem can be solved and that diverse task combinations are beneficial in learning and not a complication, as usually assumed. Our simulations show that fast algorithms are available that allot credit correctly and are insensitive to measurement noise
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