There are several hundred thousand Brownfield sites across the country. The large number of sites, combined with how a majority of these properties are located in urban and historically underserved communities, dictate that redevelopment of these sites stands to be a common theme in urban planning for the foreseeable future. Students form a grounded understanding of the Brownfield lifecycle: how and why they were created, their potential role in community revitalization, and the general processes governing their redevelopment. Using case studies and guest speakers from the public, private and non-profit sectors, students develop and hone skills to effectively address the problems posed by these inactive sites.

This curriculum combines systematic risk assessment (developed to address inconsistency and randomness in existing assessment tools and used to both identify factors which truly endanger children and illuminate strengths that may be build upon to ameliorate risk and preserve the family) with ethnographic interviewing (developed in response to a growing awareness of the importance of cultural differences in the helping process and the right of clients to receive culturally appropriate services). The combination of the two conceptual frameworks which helps clarify risks and strengths enables case plans and interventions to be more closely matched to what families are able and willing to do. (145 pages)Walker, P., & Tabbert, W. (1997).

Risk management is a critical part of event management. This worksheet covers definitions of the key aspects of risk management and the steps taken by event management in creating a risk management plan. A case study is provided for students to apply the risk management process in an industry example.

This course integrates studies of engineering sciences, reactor physics and safety assessment into nuclear power plant design. Topics include materials issues in plant design and operations, aspects of thermal design, fuel depletion and fission-product poisoning, and temperature effects on reactivity, safety considerations in regulations and operations, such as the evolution of the regulatory process, the concept of defense in depth, General Design Criteria, accident analysis, probabilistic risk assessment, and risk-informed regulations.

This course explores perspectives in the policy process - agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, implementation and evaluation of policy outcomes using frameworks including economics and markets, law, and business and management. Methods include cost/benefit analysis, probabilistic risk assessment, and system dynamics. Exercises include developing skills to work on the interface between technology and societal issues; simulation exercises; case studies; and group projects that illustrate issues involving multiple stakeholders with different value structures, high levels of uncertainty, multiple levels of complexity; and value trade-offs that are characteristic of engineering systems. Emphasis on negotiation, team building and group dynamics, and management of multiple actors and leadership.

In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"In June of 2017, public concern grew after traces of the fluorochemical GenX were detected in the Cape Fear River, a source of drinking water for several communities in North Carolina. Up to that point, regulators had not defined an acceptable level for drinking water. Now, a team of researchers has shed much-needed light on the matter. Based on data gathered from numerous toxicity studies in laboratory animals, they’ve established a drinking water guideline of 70 parts per billion. That figure could help regulators and citizens gauge safe from unsafe levels of the chemical. GenX is a processing aid used in the manufacture of fluoropolymers, compounds found in a variety of consumer and industrial products, including medical devices, tank and pipe linings, packaging for lithium-ion batteries, and cookware coatings. While important to the manufacture of fluoropolymers, GenX itself is not a component of these products..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This course covers interpretations of the concept of probability. Topics include basic probability rules; random variables and distribution functions; functions of random variables; and applications to quality control and the reliability assessment of mechanical/electrical components, as well as simple structures and redundant systems. The course also considers elements of statistics; Bayesian methods in engineering; methods for reliability and risk assessment of complex systems (event-tree and fault-tree analysis, common-cause failures, human reliability models); uncertainty propagation in complex systems (Monte Carlo methods, Latin Hypercube Sampling); and an introduction to Markov models. Examples and applications are drawn from nuclear and other industries, waste repositories, and mechanical systems.

Innovation may bring a lot of good to society, but innovation is not a good in itself. History provides many examples of new technologies that have had serious negative consequences or that simply just failed to address significant societal challenges.

This course discusses the concept of responsible innovation, its meaning and its significance by addressing the societal implications of new technologies and showing how we might incorporate ethical considerations into technical innovations.

In this course, we will:
discuss the concept of responsible innovation, the individual and collective responsibility and the ethical issues regarding innovation
discuss tools and approaches to responsible innovation, like Value Sensitive Design (VSD)
investigate the economic aspects of responsible innovation
introduce constructive technology assessment
elucidate the relation between risk and responsible innovation
We will do so on the basis of technological case studies. Cases that will be discussed are, among others, nanotechnology, offshore wind parks, Google car, nuclear power, cloud computing, smart meters for electricity, robots in the care sector (carebots), low budget meteorological weather stations in Africa and CO2 capture and storage.

During the course you may team-up with your fellow students to discuss the case studies in an international context. Moreover, students are encouraged to bring their own cases in dedicated discussion fora.

This course is for all those interested in the relationship between technological innovations, ethics and society. It is especially relevant for industry, public, and academic professionals working on developing innovative technologies and students following a traditional technical curriculum who are interested in key value questions attached to their studies.

Risk assessment is a tool for the objective evaluation of risk, and is commonly performed by veterinary epidemiologists. Its use in the setting of veterinary epidemiology has increased in recent years, particularly as a tool for the objective consideration of the risk of movement of pathogens through international trade in animals and animal products. Risk assessment is only one component in an overarching risk analysis process, which also incorporates risk management (the process whereby procedures are implemented in order to reduce the risk) and risk communication (which involves the ongoing dissemination of relevant information to stakeholders). However, these other components of the risk analysis process will not be covered in further detail here as they are predominantly the responsibility of risk managers and policy makers.

1.34 focuses on the geotechnical aspects of hazardous waste management, with specific emphasis on the design of land-based waste containment structures and hazardous waste remediation. Topics include: introduction to hazardous waste, definition of hazardous waste, regulatory requirements, waste characteristics, geo-chemistry, and contaminant transport; the design and operation of waste containment structures, landfills, impoundments, and mine-waste disposal; the characterization and remediation of contaminated sites, the superfund law, preliminary site assessment, site investigation techniques, and remediation technologies; and monitoring requirements.

Short Description:
The word workaround has entered general English usage to refer to a makeshift method of overcoming or bypassing a problem, an example being the events that took place after an explosion on the Apollo 13 spacecraft in 1970. Until recently, the concept was limited primarily to technical contexts. This book explores the origins of workarounds, the challenges of identifying and managing them, and the potential benefits and risks involved. It discusses the use of workarounds in different settings and also takes a look at future challenges.

Word Count: 47179

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