14 research outputs found

    Public Input for City Budgeting Using E-Input, Face-to-Face Discussions, and Random Sample Surveys: The Willingness of an American Community to Increase Taxes

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    Regular public input into a city\u27s budget is frequently associated with municipal budgeting in Brazilian cities, successes in public engagement that have been emulated around the world. American communities are adopting the practice to varying degrees. This paper will report on a five-year old public input program that is taking place in Lincoln, Nebraska, the capital city of a politically conservative state in the U.S. We discuss the processes we use to engage the public about the City\u27s budget. The process includes regular online input as well as face-to-face, deliberative discussions. On occasions, random sample surveys also have been used. The public\u27s input has been helpful to City Hall in budget prioritization, and has even resulted, pursuant to residents\u27 recommendations, in raising taxes to preserve programs rather than eliminating them to balance the City\u27s budget. In an era of concern that the American public will not endorse tax increases, the recommendation was surprising. Our work to date indicates the public welcomes the invitation to participate in governance and responds positively to the opportunity to provide input and is willing to endorse policy options that have been thought to be unpopular by a majority of Americans

    Public Input for City Budgeting Using E-Input, Face-to-Face Discussions, and Random Sample Surveys: The Willingness of an American Community to Increase Taxes

    Get PDF
    Regular public input into a city\u27s budget is frequently associated with municipal budgeting in Brazilian cities, successes in public engagement that have been emulated around the world. American communities are adopting the practice to varying degrees. This paper will report on a five-year old public input program that is taking place in Lincoln, Nebraska, the capital city of a politically conservative state in the U.S. We discuss the processes we use to engage the public about the City\u27s budget. The process includes regular online input as well as face-to-face, deliberative discussions. On occasions, random sample surveys also have been used. The public\u27s input has been helpful to City Hall in budget prioritization, and has even resulted, pursuant to residents\u27 recommendations, in raising taxes to preserve programs rather than eliminating them to balance the City\u27s budget. In an era of concern that the American public will not endorse tax increases, the recommendation was surprising. Our work to date indicates the public welcomes the invitation to participate in governance and responds positively to the opportunity to provide input and is willing to endorse policy options that have been thought to be unpopular by a majority of Americans

    The Cognitive Revolution and the Political Psychology of Elite Decision Making

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    Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics

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    The preponderance of matter over antimatter in the early universe, the dynamics of the supernovae that produced the heavy elements necessary for life, and whether protons eventually decay -- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our universe, its current state, and its eventual fate. DUNE is an international world-class experiment dedicated to addressing these questions as it searches for leptonic charge-parity symmetry violation, stands ready to capture supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector technical design report (TDR) describes the DUNE physics program and the technical designs of the single- and dual-phase DUNE liquid argon TPC far detector modules. Volume II of this TDR, DUNE Physics, describes the array of identified scientific opportunities and key goals. Crucially, we also report our best current understanding of the capability of DUNE to realize these goals, along with the detailed arguments and investigations on which this understanding is based. This TDR volume documents the scientific basis underlying the conception and design of the LBNF/DUNE experimental configurations. As a result, the description of DUNE's experimental capabilities constitutes the bulk of the document. Key linkages between requirements for successful execution of the physics program and primary specifications of the experimental configurations are drawn and summarized. This document also serves a wider purpose as a statement on the scientific potential of DUNE as a central component within a global program of frontier theoretical and experimental particle physics research. Thus, the presentation also aims to serve as a resource for the particle physics community at large

    Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

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    International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/cc charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1±0.6\pm0.6% and 84.1±0.6\pm0.6%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
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