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How the autonomous digital forces jolting our lives - as uncontrollable as the weather and plate tectonics - are transforming life, society, culture, and politics.David Auerbach's exploration of the phenomenon he has identified as the meganet begins with a simple, startling revelation: There is no hand on the tiller of some of the largest global digital forces that influence our daily lives: from corporate sites such as Facebook, Amazon, Google, YouTube, Instagram, and Reddit to the burgeoning metaverse encompassing cryptocurrencies and online gaming to government systems such as China's Social Credit System and India's Aadhaar.As we increasingly integrate our society, culture and politics within a hyper-networked fabric, Auerbach explains how the interactions of billions of people with unfathomably large online networks have produced a new sort of beast: ever-changing systems that operate beyond the control of the individuals, companies, and governments that created them.Meganets, Auerbach explains, have a life of their own, actively resisting attempts to control them as they accumulate data and produce spontaneous, unexpected social groups and uprisings that could not have even existed twenty years ago. And they constantly modify themselves in response to user behavior, resulting in collectively authored algorithms none of us intend or control. These enormous invisible organisms exerting great force on our lives are the new minds of the world, increasingly commandeering our daily lives and inner realities.Auerbach's analysis of these gargantuan opaque digital forces yield important insights such as:- The conventional wisdom that the Googles and Facebook of this world are tightly run algorithmic entities is a myth. No one is really in control.- The efforts at reform - to get lies and misinformation off meganets - run into a brick wall because the companies and executives who run them are trapped by the persistent, evolving, and opaque systems they have created.- Bitcoin and other cryptocurrencies are uncontrollable and their embrace by elite financial institutions threatens the entire economy- We are asking the wrong questions in assuming that if only the Facebooks of this world could be better regulated or broken up that they would be better, more ethical citizens- Why questions such as making algorithms fair and bias-free and whether AI can be a tool for good or evil are wrong and misinformedAuerbach then comes full circle, showing that while we cannot ultimately control meganets we can tame them through the counterintuitive measures he describes in detail

"In this book, Étienne Helmer offers a comprehensive analysis of oikonomia in ancient Greek philosophy. Despite its similarity to the word "economy," for the ancients, oikonomia named a branch of knowledge (the science of management) aimed at studying the practices we engage in to satisfy our needs. This began with the domestic sphere, but it radiated outward from the oikos (house) to encompass broader issues in the city (polis) as well. Helmer explores topics such as gender roles and marriage; property and the household; the acquisition and preservation of material goods; and how Greek philosophers addressed the issue of slavery in the ancient world. Even if we are not likely to share many of ancient thinkers' beliefs today, Helmer shows that there was once a way of thinking of "economic life" that went beyond the accumulation of wealth, and represented a key point of departure for understanding how to inhabit the world with others"--

This report identifies potential mechanisms through which the Affordable Care Act (ACA) might affect liability claim costs and develops rough estimates of the size and direction of expected impacts as of 2016. Overall, effects of the ACA appear likely to be small relative to aggregate auto, workers' compensation, and medical malpractice insurer payouts, but some states and insurance lines may experience cost changes as high as 5 percent or more

The Patient Protection and Affordable Care Act (ACA) contains substantial new requirements aimed at increasing rates of health insurance coverage. Because many of these provisions impose additional costs on the states, officials need reliable estimates of the likely impact of the ACA in their state. To demonstrate the usefulness of modeling for state-level decisionmaking, RAND undertook a preliminary analysis of the impact of the ACA on five states—California, Connecticut, Illinois, Montana, and Texas—using the RAND COMPARE microsimulation model. For California, the model predicts that, in 2016 (the year that all of the provisions in the ACA related to coverage expansion will be fully implemented), the uninsured rate in California will fall to 4 percent; without the law, it would remain at 20 percent. The model projects that total state government spending on health care will be 7 percent higher for the combined 2011–2020 period because of the ACA.

The Patient Protection and Affordable Care Act (ACA) contains substantial new requirements aimed at increasing rates of health insurance coverage. Because many of these provisions impose additional costs on the states, officials need reliable estimates of the likely impact of the ACA in their state. To demonstrate the usefulness of modeling for state-level decisionmaking, RAND undertook a preliminary analysis of the impact of the ACA on five states—California, Connecticut, Illinois, Montana, and Texas—using the RAND COMPARE microsimulation model. For Connecticut, the model predicts that, in 2016 (the year that all of the provisions in the ACA related to coverage expansion will be fully implemented), the uninsured rate in Connecticut will fall to 5 percent; without the law, it would remain at 11 percent. The model projects that total state government spending on health care will be 10 percent lower for the combined 2011–2020 period than it would be without the ACA, mostly because of federal subsidies for residents who would have been covered by Connecticut's state-run health insurance program (State-Administered General Assistance).

The Patient Protection and Affordable Care Act (ACA) contains substantial new requirements aimed at increasing rates of health insurance coverage. Because many of these provisions impose additional costs on the states, officials need reliable estimates of the likely impact of the ACA in their state. To demonstrate the usefulness of modeling for state-level decisionmaking, RAND undertook a preliminary analysis of the impact of the ACA on five states—California, Connecticut, Illinois, Montana, and Texas—using the RAND COMPARE microsimulation model. For Montana, the model predicts that, in 2016 (the year that all of the provisions in the ACA related to coverage expansion will be fully implemented), the uninsured rate in Montana will fall to 3 percent; without the law, it would remain at 18 percent. The model projects that total state government spending on health care will be 3 percent higher for the combined 2011–2020 period because of the ACA.

The Patient Protection and Affordable Care Act (ACA) contains substantial new requirements aimed at increasing rates of health insurance coverage. Because many of these provisions impose additional costs on the states, officials need reliable estimates of the likely impact of the ACA in their state. To demonstrate the usefulness of modeling for state-level decisionmaking, RAND undertook a preliminary analysis of the impact of the ACA on five states—California, Connecticut, Illinois, Montana, and Texas—using the RAND COMPARE microsimulation model. For Texas, the model predicts that, in 2016 (the year that all of the provisions in the ACA related to coverage expansion will be fully implemented), the uninsured rate in Texas will fall to 6 percent; without the law, it would remain at 28 percent, the highest in the nation. The model projects that total state government spending on health care will be 10 percent higher for the combined 2011–2020 period because of the ACA.

The Patient Protection and Affordable Care Act (ACA) contains substantial new requirements aimed at increasing rates of health insurance coverage. Because many of these provisions impose additional costs on the states, officials need reliable estimates of the likely impact of the ACA in their state. To demonstrate the usefulness of modeling for state-level decisionmaking, RAND undertook a preliminary analysis of the impact of the ACA on five states—California, Connecticut, Illinois, Montana, and Texas—using the RAND COMPARE microsimulation model. For Illinois, the model predicts that, in 2016 (the year that all of the provisions in the ACA related to coverage expansion will be fully implemented), the uninsured rate in Illinois will fall to 3 percent; without the law, it would remain near 15 percent. The model projects that total state government spending on health care will be 10 percent higher for the combined 2011–2020 period because of the ACA.

In 2004, members of the American Association of Colleges of Nursing (AACN) voted to endorse a position statement identifying the doctor of nursing practice (DNP) degree as the most appropriate degree for advanced-practice registered nurses (APRNs) to enter practice. At the same time, AACN members voted to approve the position that all master's programs that educate APRNs to enter practice should transition to the DNP by 2015. While the number of DNP programs for APRNs has grown significantly and steadily over this period, at this time, not all nursing schools have made this transition. To better understand why, the AACN contracted with RAND to investigate schools' progress toward this goal and the factors that facilitate or impede this transition. This article describes the results of a mixed-method RAND study undertaken between October 2013 and April 2014 that sought to understand schools' program offerings to prepare APRNs to enter practice and the reasons for those offerings, as well as the barriers or facilitators to nursing schools' full adoption of the DNP.

In 2004, members of the American Association of Colleges of Nursing (AACN) voted to endorse a position statement identifying the doctor of nursing practice (DNP) degree as the most appropriate degree for advanced-practice registered nurses (APRNs) to enter practice. At the same time, AACN members voted to approve the position that all master's programs that educate APRNs to enter practice should transition to the DNP by 2015. While the number of DNP programs for APRNs has grown significantly and steadily over this period, at this time, not all nursing schools have made this transition. To better understand why, the AACN contracted with RAND to investigate schools' progress toward this goal and the factors that facilitate or impede this transition. This article describes the results of a mixed-method RAND study undertaken between October 2013 and April 2014 that sought to understand schools' program offerings to prepare APRNs to enter practice and the reasons for those offerings, as well as the barriers or facilitators to nursing schools' full adoption of the DNP.

In 2004, members of the American Association of Colleges of Nursing (AACN) voted to endorse a position statement identifying the doctor of nursing practice (DNP) degree as the most appropriate degree for advanced-practice registered nurses (APRNs) to enter practice. At the same time, AACN members voted to approve the position that all master's programs that educate APRNs to enter practice should transition to the DNP by 2015. While the number of DNP programs for APRNs has grown significantly and steadily over this period, at this time, not all nursing schools have made this transition. To better understand why, the AACN contracted with RAND to investigate schools' progress toward this goal and the factors that facilitate or impede this transition. This article describes the results of a mixed-method RAND study undertaken between October 2013 and April 2014 that sought to understand schools' program offerings to prepare APRNs to enter practice and the reasons for those offerings, as well as the barriers or facilitators to nursing schools' full adoption of the DNP.