User-centric Privacy Engineering for the Internet of Things

User privacy concerns are widely regarded as a key obstacle to the success of modern smart cyber-physical systems. In this paper, we analyse, through an example, some of the requirements that future data collection architectures of these systems should implement to provide effective privacy protection for users. Then, we give an example of how these requirements can be implemented in a smart home scenario. Our example architecture allows the user to balance the privacy risks with the potential benefits and take a practical decision determining the extent of the sharing. Based on this example architecture, we identify a number of challenges that must be addressed by future data processing systems in order to achieve effective privacy management for smart cyber-physical systems.Comment: 12 Page

Policy Analysis for Natural Hazards: Some Cautionary Lessons From Environmental Policy Analysis

How should agencies and legislatures evaluate possible policies to mitigate the impacts of earthquakes, floods, hurricanes and other natural hazards? In particular, should governmental bodies adopt the sorts of policy-analytic and risk assessment techniques that are widely used in the area of environmental hazards (chemical toxins and radiation)? Environmental hazards policy analysis regularly employs proxy tests, in particular tests of technological feasibility, rather than focusing on a policy\u27s impact on well-being. When human welfare does enter the analysis, particular aspects of well-being, such as health and safety, are often given priority over others. Individual risk tests and other features of environmental policy analysis sometimes make policy choice fairly insensitive to the size of the exposed population. Seemingly arbitrary numerical cutoffs, such as the one-in-one million incremental risk level, help structure policy evaluation. Risk assessment techniques are often deterministic rather than probabilistic, and in estimating point values often rely on conservative rather than central-tendency estimates. The Article argues that these sorts of features of environmental policy analysis may be justifiable, but only on institutional grounds-if they sufficiently reduce decision costs or bureaucratic error or shirking-and should not be reflexively adopted by natural hazards policymakers. Absent persuasive. institutional justification, natural hazards policy analysis should be welfare-focused, multidimensional, and sensitive to population size, and natural hazards risk assessment techniques should provide information suitable for policy-analytic techniques of this sort

Policy Analysis for Natural Hazards: Some Cautionary Lessons From Environmental Policy Analysis

How should agencies and legislatures evaluate possible policies to mitigate the impacts of earthquakes, floods, hurricanes and other natural hazards? In particular, should governmental bodies adopt the sorts of policy-analytic and risk assessment techniques that are widely used in the area of environmental hazards (chemical toxins and radiation)? Environmental hazards policy analysis regularly employs proxy tests, in particular tests of technological feasibility, rather than focusing on a policy\u27s impact on well-being. When human welfare does enter the analysis, particular aspects of well-being, such as health and safety, are often given priority over others. Individual risk tests and other features of environmental policy analysis sometimes make policy choice fairly insensitive to the size of the exposed population. Seemingly arbitrary numerical cutoffs, such as the one-in-one million incremental risk level, help structure policy evaluation. Risk assessment techniques are often deterministic rather than probabilistic, and in estimating point values often rely on conservative rather than central-tendency estimates. The Article argues that these sorts of features of environmental policy analysis may be justifiable, but only on institutional grounds-if they sufficiently reduce decision costs or bureaucratic error or shirking-and should not be reflexively adopted by natural hazards policymakers. Absent persuasive. institutional justification, natural hazards policy analysis should be welfare-focused, multidimensional, and sensitive to population size, and natural hazards risk assessment techniques should provide information suitable for policy-analytic techniques of this sort

Race, Gender, Age, and Disproportionate Impact: What Can We Do About the Failure to Protect the Most Vulnerable?

Hard economic times and social conditions are driving a reordering of environmental protection priorities that threatens to sacrifice the most vulnerable groups. Environmental regulatory agencies acknowledge that vulnerable populations face the greatest risk of harm from environmental insult and that these groups are not adequately protected. Although a risk-based prioritization of resources benefits the greatest number of people, such allocation would disadvantage minority communities, which contain disproportionate numbers of sensitive subgroups. Our regulatory bodies must therefore develop new strategies to adequately protect sensitive subgroups identified in minority communities. Part II of this Article looks at some of the considerations that influence the health protection priorities and resource allocations that environmental regulatory agencies make. Part III examines the importance of variation in susceptibility to environmental insult and how minorities, women, and the young are particularly affected. Part IV discusses the economic rationale and available mechanisms for protecting vulnerable subgroups

Does the Cause of Death Matter? The Effect of Dread, Controllability, Exposure and Latency on the Vsl

The Value of a Statistical Life is a key input into the calculation of the benefits of environmental policies that save lives. To date, the VSL used in environmental policy analyses has not been adjusted for age or the cause of death. Air pollution regulations, however, are linked to reductions in the risk of dying for cancer, heart disease, and respiratory illnesses, raising the question whether a single VSL should be applied for all of these causes of death. We conducted a conjoint choice experiment survey in Milan, Italy, to investigate this question. We find that the VSL increases with dread, exposure, the respondents’ assessments of the baseline risks, and experience with the specific risks being studied. The VSL is higher when the risk reduction is delivered by a public program, and increases with the effectiveness rating assigned by the respondent to public programs that address specific causes of death. The effectiveness of private risk-reducing behaviors is also positively associated with the VSL, but the effect is only half as large as that of public program effectiveness. The coefficients on dummies for the cause of death per se—namely, whether it’s cancer, a road traffic accident or a respiratory illness—are strongly statistically significant. All else the same, the fact that the cause of the death is “cancer” results in a VSL that is almost one million euro above the amount predicted by dread, exposure, beliefs, etc. The VSL in the road safety context is about one million euro less than what is predicted by dread, exposure, beliefs, etc. These effects are large, but the majority of the variation in the VSL is accounted for by the public program feature, the effectiveness of public programs at reducing the indicated risk, and dread. The effects of exposure and experience are smaller. These results raise the question whether using VSL figures based on private risk reduction, which is usually recommended to avoid double-counting, severely understates how much a society might be willing to pay for public safety.VSL, Conjoint Choice Experiments, Mortality Risk Reductions, Cost-benefit Analysis, Forced Choice Questions

The Impacts of Privacy Rules on Users' Perception on Internet of Things (IoT) Applications: Focusing on Smart Home Security Service

Department of Management EngineeringAs communication and information technologies advance, the Internet of Things (IoT) has changed the way people live. In particular, as smart home security services have been widely commercialized, it is necessary to examine consumer perception. However, there is little research that explains the general perception of IoT and smart home services. This article will utilize communication privacy management theory and privacy calculus theory to investigate how options to protect privacy affect how users perceive benefits and costs and how those perceptions affect individuals??? intentions to use of smart home service. Scenario-based experiments were conducted, and perceived benefits and costs were treated as formative second-order constructs. The results of PLS analysis in the study showed that smart home options to protect privacy decreased perceived benefits and increased perceived costs. In addition, the perceived benefits and perceived costs significantly affected the intention to use smart home security services. This research contributes to the field of IoT and smart home research and gives practitioners notable guidelines.ope

VALUING RISK-REDUCING INTERVENTIONS WITH HEDONIC MODELS: THE CASE OF EROSION PROTECTION

This article extends the literature on economic valuation of public interventions that reduce environmental risk. We consider the case where risk-reducing interventions have different characteristics than the risk proxies used in hedonic regressions. We then demonstrate the importance of these considerations by reexamining an existing analysis of shoreline protection where we estimate risk using a latent variables model. The results show substantially different and arguably more plausible results.Environmental Economics and Policy, Risk and Uncertainty,

Scaling Up Climate Action to Achieve the Sustainable Development Goals

In 2015, UNDP released its first infographic report that presented the breadth and depth of our support on climate change over the past two decades. That report emphasized successes and noted the opportunities that climate action presents for countries as they transition their economies towards zero-carbon and climate-resilient sustainable development.This year, as countries begin to take concrete action to deliver on their national climate goals, we are pleased to release an updated report of UNDP's climate change work. New, in this report, is a special focus on the linkages between climate change and sustainable development. Specifically, the report highlights the importance of climate action in delivering on the SDGs and provides examples of UNDP's on-going work on the ground towards this end. The report also presents UNDP's commitment to scale up climate change action in order to deliver on the ambitious agenda that countries agreed to in 2015." – Magdy Martinez-Solima

Prioritizing Opportunities to Reduce the Risk of Foodborne Illness: A Conceptual Framework

Determining the best use of food safety resources is a difficult task faced by public policymakers, regulatory agencies, state and local food safety and health agencies, as well as private firms. The Food Safety Research Consortium (FSRC) has developed a conceptual framework for priority setting and resource allocation for food safety that takes full account of the food system’s complexity and available data but is simple enough to be workable and of practical value to decisionmakers. The conceptual framework addresses the question of how societal resources, both public and private, can be used most effectively to reduce the public health burden of foodborne illness by quantitatively ranking risks and considering the availability, effectiveness, and cost of interventions to address these risks. We identify two types of priority-setting decisions: Purpose 1 priority setting that guides risk-based allocation of food safety resources, primarily by government food safety agencies, across a wide range of opportunities to reduce the public health impact of foodborne illness; and Purpose 2 priority setting that guides the choice of risk management actions and strategies with respect to particular hazards and commodities. It is essential that such a framework be grounded in a systems approach, multi-disciplinary in approach and integration of data, practical, flexible, and dynamic by including ongoing evaluation and continuous updating of risk rankings and other elements. The conceptual framework is a synthesis of ideas and information generated in connection with and during the three FSRC workshops convened under a project funded by the Cooperative State Research, Education, and Extension Service of USDA. Workshop materials are available on the project website: http://www.card.iastate.edu/food_safety/.