Curricula in U.S. public schools are often the focus of heated debate, and few subjects spark more controversy than sex education. While conservatives argue that sexual abstinence should be the only message, liberals counter that an approach that provides comprehensive instruction and helps young people avoid sexually transmitted diseases and pregnancy is necessary. Caught in the middle are the students and teachers whose everyday experiences of sex education are seldom as clear-cut as either side of the debate suggests. Risky Lessons brings readers inside three North Carolina middle schools to show how students and teachers support and subvert the official curriculum through their questions, choices, viewpoints, and reactions. Most important, the book highlights how sex education's formal and informal lessons reflect and reinforce gender, race, and class inequalities. Ultimately critical of both conservative and liberal approaches, Fields argues for curricula that promote social and sexual justice. Sex education's aim need not be limited to reducing the risk of adolescent pregnancies, disease, and sexual activity. Rather, its lessons should help young people to recognize and contend with sexual desires, power, and inequalities.

Risky Teaching examines the role of risk and uncertainty in teaching and learning in higher education. Discussing the current landscape of higher education and the challenges and opportunities we face, this book synthesizes a range of evidence-based and high-impact practices both in and out of the classroom, offering practical strategies and thought-provoking ideas on educational innovation for students and faculty. Covering topics such as taking risks inside the classroom, innovative teaching methods outside the classroom, rethinking assessment, and sustaining creativity as we grow in our careers, this practical resource is for faculty and instructors to work within and through uncertainty. The book also explores the inward challenges and opportunities associated with risky teaching and how institutional leaders can encourage productive risk-taking throughout the organization. This important text is for faculty and instructors in higher education who want to help their students thrive in a complex, unscripted, and disruptive world.

Risk and uncertainty may sound scary, but todays best business leaders are navigating both to gain strategic advantage over competitorsand you can, too. This guide for business leaders examines risk and opportunity through the lens of some of the worlds most respected visionaries, including Howard Schultz, Andy Grove, Peter Huntsman, John Krafcik, Peter Leibinger, Doug Hepper, and many more. These visionaries looked beyond financial performance to see opportunitiesand they did so by understanding uncertainty. Then, they decisively acted to create measurable results that coincided with the future they envisioned. Find out how they did it, and learn how to: identify, define, and convert uncertainty into value; become more opportunistic when facing uncertainty; develop the skill to spot where advantages are likely to emerge; and create an environment where managers and leaders complement each other. Filled with case studies on companies such as Hyundai, Starbucks, Roche, and Intel, this guide delivers proven ways to create value and leverage uncertainty. It is the culmination of a decade of research and interaction with dozens of companies and growth leaders who prove that pursuing a market driven strategy to navigating uncertainty will gain measurable market advantage.

The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes approaches to responsible AI—a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public. Learn technical approaches for responsible AI across explainability, model validation and debugging, bias management, data privacy, and ML security Learn how to create a successful and impactful AI risk management practice Get a basic guide to existing standards, laws, and assessments for adopting AI technologies, including the new NIST AI Risk Management Framework Engage with interactive resources on GitHub and Colab

Why was Lehman ignored when everyone else was bailed out? A risk advisor for top financial institutions and top B-school professor, Mark Williams explains how uncontrolled risk toppled a 158-year-old institution, using this story as a microcosm to illuminate the interconnection of the global financial system, as well as broader policy implications. This story is told through the eyes of an experienced risk manager and educator in a detailed and engaging way and provides the reader with a complete summary of how a savvy company with sophisticated employees and systems could have gotten it so wrong.

Bridging an identified gap between research and practice in the domain of risk and organizational learning with respect to human/organizational factors and organizational behaviour, this book highlights the common and recurring threads in contributory factors to accident causation. Based on an extensive research project, it investigates how shipping companies as organizations learn from, filter and give credence/acceptability to differing risk perceptions and how this influences the work culture with special regard to group/team dynamics and individual motivation. The work is presented in the context of the literature regarding conceptual links between risk and the theoretical and operational themes of organizational learning, and in light of interviewees' comments. The themes include processes and structures of knowledge acquisition, information interpretation and distribution, organizational memory and change/adaptation and also levels of learning. The book concludes by discussing some practical implications of the research carried out in various maritime contexts and gives recommendations for the industry and other stakeholders.

Project management lessons learned on the Big Dig, America's biggest megaproject, by a core member responsible for its daily operations In Megaproject Management, a central member of the Big Dig team reveals the numerous risks, challenges, and accomplishments of the most complex urban infrastructure project in the history of the United States. Drawing on personal experience and interviews with project engineers, executive oversight commission officials, and core managers, the author, a former deputy counsel and risk manager for the Big Dig, develops new insights as she describes the realities of day-to-day management of the project from a project manager's perspective. The book incorporates both theory and practice and is therefore highly recommended to policymakers, academics, and project management practitioners. Focusing on lessons learned, this insightful coursebook presents the Big Dig as a massive case study in the management of risk, cost, and schedule, particularly the interrelation of technical, legal, political, and social factors. It provides an analysis of the difficulties in managing megaprojects during each phase and over the life span of the project, while delivering useful lessons on why projects go wrong and what can be done to prevent project failure. It also offers new ideas to enhance project management performance and innovation in our global society. This unique guide: Defines megaproject characteristics and frameworks Reviews the Big Dig's history, stakeholders, and governance Examines the project's management scope, scheduling, and cost management including project delays and cost overruns Analyzes the Big Dig's risk management and quality management Reveals how to build a sustainable project through integration and change introduction