Behind the Scenes of the Patient Protection and Affordable Care Act: The Making of a Health Care Co-op

A primary goal of the Patient Protection and Affordable Care Act (PPACA) is to reduce the number of uninsured by making health insurance more affordable for small businesses and individuals. Toward that end, the PPACA encourages the creation of nonprofit, member-owned health insurance cooperatives to operate inside each state exchange. Co-ops face significant challenges in entering mature insurance markets, but they also possess unique characteristics that may help them survive and thrive. Using Common Ground Healthcare Cooperative in Wisconsin as a case study, this article traces the origins of co-ops in health care reform at national and state levels and analyzes the political and technical challenges and opportunities facing these organizations

Who Pays for Health Care Reform?

In this second of three chapters on the distinctive policy dynamics of particular areas of social provision, Susan Giaimo addresses the issue of whether the success of the reformed welfare state in the shape of payers’ and policy makers’ cost‐containment projects have had as their price the sacrifice of equity and solidarity. These questions are explored through the lens of health care reform in Britain, Germany, and the US since the late 1980s: each a country with a distinctive health care system, which undertook major reform initiatives designed to control health care outlays, and addressed the efficiency and equity goals in markedly different ways. Section I provides a broad background to situate the contemporary politics of health care reform, explaining how and why health care systems in Western countries have come under the stress of increasing cost pressures even as governments and employers have become more apprehensive about the possible effects of the welfare state on economic competitiveness. Section 2 develops the argument in greater depth, explaining how existing health care and political systems provide different opportunities or constraints for payers and the state to pursue unilateral cost‐containment strategies, how health care institutions themselves shape policy preferences and strategies of payers, and how some systems require compromise solutions that reconcile equity with efficiency. Section 3 presents each country\u27s case, and the concluding section considers the broader lessons from health care reform for the contemporary politics of welfare state adjustment

Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

The software powering today's vehicles surpasses mechatronics as the dominating engineering challenge due to its fast evolving and innovative nature. In addition, the software and system architecture for upcoming vehicles with automated driving functionality is already processing ~750MB/s - corresponding to over 180 simultaneous 4K-video streams from popular video-on-demand services. Hence, self-driving cars will run so much software to resemble "small data centers on wheels" rather than just transportation vehicles. Continuous Integration, Deployment, and Experimentation have been successfully adopted for software-only products as enabling methodology for feedback-based software development. For example, a popular search engine conducts ~250 experiments each day to improve the software based on its users' behavior. This work investigates design criteria for the software architecture and the corresponding software development and deployment process for complex cyber-physical systems, with the goal of enabling Continuous Experimentation as a way to achieve continuous software evolution. Our research involved reviewing related literature on the topic to extract relevant design requirements. The study is concluded by describing the software development and deployment process and software architecture adopted by our self-driving vehicle laboratory, both based on the extracted criteria.Comment: Copyright 2017 IEEE. Paper submitted and accepted at the 2017 IEEE International Conference on Software Architecture. 8 pages, 2 figures. Published in IEEE Xplore Digital Library, URL: http://ieeexplore.ieee.org/abstract/document/7930218

Generation time measures the trade-off between survival and reproduction in a life cycle

AbstractSurvival and fertility are the two most basic components of fitness, and they drive the evolution of a life cycle. A trade-off between them is usually present: when survival increases, fertility decreases?and vice versa. Here we show that at an evolutionary optimum, the generation time is a measure of the strength of the trade-off between overall survival and overall fertility in a life cycle. Our result both helps to explain the known fact that the generation time describes the speed of living in the slow-fast continuum of life cycles and may have implications for the extrapolation from model organisms of longevity to humans

Dealing with a potential bias in estimating the share of discriminated women

The Blinder-Oaxaca [1, 6] decomposition neglects any distributional issues of discrimination. Instead, Jenkins [5] has argued the importance of a distributional approach in evaluating wage discrimination, focusing on the entire distribution of discrimination experienced by each woman. In their distributional approach, Del Río et al. [3] have adapted the Foster, Greer and Thorbecke (FGT) [4] poverty indices in studying wage discrimination. These discrimination indices depend on a parameter which can be interpreted as a measure of aversion to discrimination. When the aversion parameter is zero, the index measures the share of discriminated women. In this paper we will demonstrate that the naïve approach to the estimation of the share of discriminated women – similar to that used by Del Río et al. [3] – could be considerably biased. We propose testing the significance of the discrimination experienced by each woman, using appropriate statistical tests

Measuring sustainable economic development through a multidimensional Gini index

This paper analyses the evolution of sustainable economic development inequality in Italy as regards the efforts made by each administrative Region, as a response to the main EU policies issued by the environmental and energy sector. For this purpose a multidimensional generalization of the Gini index has been performed, taking into account two different dimensions (energy and environment), in a time frame of six years (2008-2013). The multidimensional Gini results confirm the positive effect recorded by certain EU policies in determining a reduction in the inequality levels among the Italian Regions. A counterfactual analysis further underlined the relevant role played by the energetic dimension against the environmental one in strengthening Regional performance