253 research outputs found

    Modelling information flow for organisations delivering microsystems technology

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    Motivated by recent growth and applications of microsystems technology (MST), companies within the MST domain are beginning to explore avenues for understanding, maintaining and improving information flow, within their organisations and to/from customers, with a view to enhancing delivery performance. Delivery for organisations is the flow of goods from sellers to buyers and a classic approach to understanding information flow is via the use of modelling techniques. Cont/d

    Mass Litigation Governance in the Post-Class Action Era: The Problems and Promise of Non-removable State Actions in Multi-district Litigation

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    Given a string of decisions restricting the use and availability of the class action device, the world of mass litigation may well be moving into a post-class action era. In this era, newer devices of aggregation—perhaps principally among them multi-district litigation (“MDL”)—increasingly will be called upon to meet the age-old mass litigation goal of achieving global peace of numerous claims arising out of a related, widespread harm. Indeed, coordination of pretrial proceedings in the MDL frequently facilitates the achievement of this peace, given the reality that cases, once consolidated in the MDL, often settle en masse. However, one clear obstacle to the achievement of aggregate peace in the MDL, one that also plagues the achievement of that peace in the class action world, is our federal system of substantive and procedural law. In the MDL context, the problem arises because litigation involving state-law claims and non-diverse parties, which are not removable from state court, cannot be transferred to the MDL court. Despite their prevalence, little scholarly attention has been devoted to non-removable state-court actions in MDL. The few responses to this issue have largely focused upon the efficiencies that could be gained through increased, and perhaps total, consolidation of all related cases or, short of consolidation, through heightened coordination of pre-trial proceedings between state and federal judges. This article questions whether these responses have led reform proposals in the wrong direction, and instead takes a different view. Rather than argue for increased consolidation, I offer for further consideration the possible ways in which the happenstantial existence of parallel tracks of related state and federal cases actually hold promise, if properly harnessed, as mechanisms for achieving the goals of aggregate litigation and for disciplining the contours of global settlements of mass disputes. In particular, I explore the possibility that the existence of parallel state and federal cases—frequently viewed as an obstacle to global resolution of claims unable to be consolidated in a single forum—may well fortuitously provide an opportunity to achieve the sorts of mass litigation resolution envisioned but unsuccessfully attempted in the class action context. In so doing, this article adds new thoughts and theories to the specific debate regarding parallel state and federal claims in MDL, as well as to the larger debate about mass litigation governance in a post-class action world

    Humancentric Applications of Precise Location Based Services

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    Mobile technologies, which allow users to move around while maintaining the ability to access a network and its services, now claim a significant degree of attention in both industry and academia. In this vision, one particular attribute gains critical importance: location. The ability to pinpoint a mobile user’s location creates a new class of applications and services. These location based services (LBS) exploit the known location of a user to provide services dependent on their geographic context and personalised needs. However, as newer positioning technologies are introduced into the market with a greater level of location accuracy, and existing technologies are integrated to overcome limitations, issues pertaining to the use and potential misuse of location information rise to the fore. In addition to this, perhaps because LBS are so new, there has been limited investigation into exactly what effects the widespread use of these technologies may have. This thesis aims to rectify a gap in current knowledge by presenting a plausible scenario that describes how humancentric applications of LBS could change the world of tomorrow, based on the current state of development. It also makes several original contributions in an analysis of legal, ethical, social and technological issues that arise from the scenario

    Humancentric applications of precise location based services

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    Epistemic Harvest

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    The following discussion of computational capital takes the electronic database, an infrastructure for storing information, as vantage point. Following a brief look into how database systems serve information desires, the notion of ‘database as discourse’ by Mark Poster is explored and further developed. Database as discourse establishes a machinic agency, directed towards the individual in a specific mode of hailing. This mode of hailing in turn leads to a scatteredform of subjectivity, that is identified with Manuela Ott and Gerald Raunig as dividual. How does dividualization emerge from database infrastructure? What is the specificquality of data, that is produced by and being harvested from in/dividuals into databases, and what are the consequences of such ashifted view

    Computer Aided Verification

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    This open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019. The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organized in the following topical sections: Part I: automata and timed systems; security and hyperproperties; synthesis; model checking; cyber-physical systems and machine learning; probabilistic systems, runtime techniques; dynamical, hybrid, and reactive systems; Part II: logics, decision procedures; and solvers; numerical programs; verification; distributed systems and networks; verification and invariants; and concurrency
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