Product List
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At the current pace of change, it will take almost 30 years before there are as many women serving as superintendents as men. Trudy T. Arriaga, Stacie L. Stanley, and Delores B. Lindsey introduce a new model for creating mentoring relationships that help emerging women leaders thrive. Current and aspiring leaders can use Mentoring for Momentum as a standalone resource or in conjunction with the authors Leading While Female and My Leading While Female Journey. Leaders will learn to mentor aspiring female leaders, and mentees will discover how to build these vital connections.</p>\n<p>Using the Tools of Cultural Proficiency, the authors guide readers in identifying and overcoming systemic barriers, helping aspiring leaders build the momentum needed to achieve their career goals and foster greater gender equity in their organizations.</p>\n<p>This practical guide includes:</p>\n\n A framework for using the Tools of Cultural Proficiency to develop reciprocal and culturally responsive mentoring relationships\n Case stories from female leaders that offer models for navigating the challenges and opportunities of mentorship\n Guidance on how to locate a mentor, serve as a mentor, and establish effective mentoring programs within your organization\n Reflective prompts, end-of-chapter questions, and a free study guide to deepen understanding and encourage personal and professional growth\n\n<p>Female leaders will learn how to leverage the power of mentorship to break through barriers, build supportive networks, and create lasting change for themselves and for the next generation of women leaders.</p>", "author": "Trudy T. 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Its packed with step-by-step instructions, practical tips, templates, shortcuts, AI prompts, and plenty of myth-busting to take you from CRQ skeptic to CRQ championeven if youve never cracked open a statistics book.\n \nAll techniques in this book can be performed in Excel or Google Sheetsno coding required. But for readers who want to go further, youll find dozens of GenAI prompts that help you generate risk scenarios, clean messy data, or even vibe-code your way through a Monte Carlo simulation in Python or R. You'll also get guidance on when to not use AI, how to spot hallucinations, and how to integrate it responsibly into your risk practice.\n \nCRQ is no longer optional. 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The new surge of XAI responds to the societal challenge that many algorithmic approaches (such as machine learning or autonomous intelligent systems) are rapidly increasing in complexity, making justified use of their recommendations difficult for the users. A large body of approaches now exists with many ideas of how algorithms should be explainable or even be able to explain their output. However, few of them consider the users' perspective, and even less address the social aspects of using XAI. To fill the gap, the book offers a conceptualization of explainability as a social practice, a framework for contextual factors, and an operationalization of users' involvement in creating relevant explanations.\nFor this, scholars across disciplines gathered at the Shonan meeting to account for how explanation generation can be tailored to diverse users and their heterogeneous goals when interacting with XAI. As a result, social interaction is the key to the involvement of the users. 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