Worthy? Crowdfunding the Canadian Health Care and Education Sectors

Crowdfunding, the practice of asking for money from others using the Internet, is a major private means through which Canadians are funding their health care and education. Crowdfunding has proliferated in Canada during the 2010s and continues to grow, approaching the revenues of Canada's major traditional charities. Proponents describe it as an empowering practice from which anyone can benefit. If its gains are inequitably distributed, however, increasing reliance on this private funding mechanism, especially in core areas of welfare state provision, can further exacerbate inequalities of opportunity and income. This study asks why Canadians turn to health care and education crowdfunding and how equitably funds are raised using this novel method. Based on a mixed methods analysis of 319 campaigns conducted on two prominent crowdfunding platforms between 2012 and 2014, we find that crowdfunding users’ needs frequently correspond to known gaps in the contemporary social safety net, including in the area of cancer care, and that campaigns for older and visible minority Canadians face a disadvantage. We argue that health care and education crowdfunding is a response to the shortcomings of Canadian welfare state provision, but one that reproduces offline inequalities with potentially perilous consequences for democratic life and individual suffering.     

Why Do Countries Regulate Environmental Health Risks Differently? A Theoretical Perspective

Why do countries regulate, or prefer to regulate, environmental health risks such as radiofrequency electromagnetic fields and endocrine disruptors differently? A wide variety of theories, models, and frameworks can be used to help answer this question, though the resulting answer will strongly depend on the theoretical perspective that is applied. In this theoretical review, we will explore eight conceptual frameworks, from different areas of science, which will offer eight different potential explanations as to why international differences occur in environmental health risk management. We are particularly interested in frameworks that could shed light on the role of scientific expertise within risk management processes. The frameworks included in this review are the Risk Assessment Paradigm, research into the roles of experts as policy advisors, the Psychometric Paradigm, the Cultural Theory of Risk, participatory approaches to risk assessment and risk management, the Advocacy Coalition Framework, the Social Amplification of Risk Framework, and Hofstede's Model of National Cultures. We drew from our knowledge and experiences regarding a diverse set of academic disciplines to pragmatically assemble a multidisciplinary set of frameworks. From the ideas and concepts offered by the eight frameworks, we derive pertinent questions to be used in further empirical work and we present an overarching framework to depict the various links that could be drawn between the frameworks.     

Modeling the welfare impacts of agricultural policies in developing countries

This paper presents a new model incorporating features of developing country agriculture likely to shape the welfare outcomes of alternative agricultural policies. The model features heterogeneous households linked through markets in a rural economy-wide structure, with endogenous market participation for farmers facing transactions costs. We use it to simulate the impacts on rural welfare of market price supports, production subsidies, input subsidies, and the removal of transaction costs. Applications to six countries demonstrate the diversity of potential impacts, exhibit some systemic differences compared with impacts in developed countries, and identify specific circumstances under which market interventions may be only slightly less efficient than direct payments at transferring incomes to rural households.     

Theoretical evaluation of prediction error in linear regression with a bivariate response variable containing missing data

Methods for linear regression with multivariate response variables are well described in statistical literature. In this study we conduct a theoretical evaluation of the expected squared prediction error in bivariate linear regression where one of the response variables contains missing data. We make the assumption of known covariance structure for the error terms. On this basis, we evaluate three well-known estimators: standard ordinary least squares, generalized least squares, and a James–Stein inspired estimator. Theoretical risk functions are worked out for all three estimators to evaluate under which circumstances it is advantageous to take the error covariance structure into account.     

Environmental Concern of Labor Union Members in the United States

The labor and environmental movements have had a complicated relationship with periods of cooperation as well as conflict, but recently there has been increasing collaboration at the national level. Whether such a trend of cooperation can be sustained will partially depend on grassroots‐level connections between the two movements. However, there has been little empirical research on the environmental attitudes of union members, which is important for understanding the potential for shared values between union members and environmental activists. This article analyzes 1993, 2000, and 2010 General Social Survey data to examine if the environmental attitudes of people in union households have changed given shifting labor–environment relations and broader political‐economic conditions. We find that union membership does not influence environmental concern in weaker economic times (1993 and 2010) but that it has a positive effect on environmental concern in stronger economic times (2000). Thus, union households are generally no less concerned about the environment than nonunion households. Therefore, strengthening connections between union members and environmental activists may be a feasible strategy for invigorating both the labor and environmental movements.     

Characterization of dose‐response for count data using a generalized MCP‐Mod approach in an adaptive dose‐ranging trial

Understanding the dose–response relationship is a key objective in Phase II clinical development. Yet, designing a dose‐ranging trial is a challenging task, as it requires identifying the therapeutic window and the shape of the dose–response curve for a new drug on the basis of a limited number of doses. Adaptive designs have been proposed as a solution to improve both quality and efficiency of Phase II trials as they give the possibility to select the dose to be tested as the trial goes. In this article, we present a ‘shapebased’ two‐stage adaptive trial design where the doses to be tested in the second stage are determined based on the correlation observed between efficacy of the doses tested in the first stage and a set of pre‐specified candidate dose–response profiles. At the end of the trial, the data are analyzed using the generalized MCP‐Mod approach in order to account for model uncertainty. A simulation study shows that this approach gives more precise estimates of a desired target dose (e.g. ED70) than a single‐stage (fixed‐dose) design and performs as well as a two‐stage D‐optimal design. We present the results of an adaptive model‐based dose‐ranging trial in multiple sclerosis that motivated this research and was conducted using the presented methodology. Copyright © 2015 John Wiley & Sons, Ltd.     

Arbeitsfähig bleiben – Balance halten – Einsichten gewinnen

In today’s fast paced, interconnected, and mercilessly competitive business world, senior executives have to push themselves and others hard. In order to succeed, leaders have to live the paradox of closely attending to and following others as deeply as they lead. They have to listen well to others, understand their concerns, give them personal support, and at the same time motivate them for results or take decisions on their behalf. This article explores how executive coaching together with the provision of supervision for coaches can help restore and maintain balance and so provide quality assurance for organisations. Some of the work that these coaches and supervisors do is simply noticing the shadow sides that leaders have forgotten about or for many reasons prefer not to consider. It is the coach’s (and supervisor’s) task to bring back awareness of vulnerability or neediness, corruptibility or hubris, depending on the highly personal contents of the leader’s shadow.     

Systems thinking and business process redesign: An application to the beer game

Managers are regrettably ignorant of the fact that their business organisations are ‘designable’. But recently, concepts such as business re-engineering and systems thinking, coupled with advances in methods of quantifying business systems, have enabled managers to scrutinise their business systems afresh.Ann van Ackere, Erik Reimer Larsen and John Morecroft use a well-known logistical system — the ‘beer game’ — to illustrate these re-engineering concepts and tools in a multi-stage production and distribution system involving a single brand of beer. This business game raises the fundamental question of why it is so difficult to match shipments and factory production to consumer demand.The authors conclude that such re-design concepts and tools can be applied successfully to full-scale business problems. Systems thinking, modelling and continuous time simulation can provide the framework for carrying the design process from mapping all the way through to redesign. The most effective CEOs of the future will be those who are competent to create corporate design in which employees are allowed to succeed.