This edited collection brings together voices of the strongest thought leaders on diversity, equity and inclusion in the field of statistics and data science, with the goal of encouraging and steering the profession into the regular practice of inclusive and humanistic leadership. It provides futuristic ideas for promoting opportunities for equitable leadership, as well as tested approaches that have already been found to make a difference. It speaks to the challenges and opportunities of leading successful research collaborations and making strong connections within research teams. Curated with a vision that leadership takes a myriad of forms, and that diversity has many dimensions, this volume examines the nuances of leadership within a workplace environment and promotes storytelling and other competencies as critical elements of effective leadership. It makes the case for inclusive and humanistic leadership in statistics and data science, where there often remains a dearth of womenand members of certain racial communities among the employees. Titled and non-titled leaders will benefit from the planning, evaluation, and structural tools offered within to contribute inclusive excellence in workplace climate, environment, and culture.
表中的内容
Part I: Opportunity for the Profession.- The changing culture of statistics and data science: A vision for the profession.- Power and privilege: Reshaping the opportunity structure for equitable leadership in statistics and data science.- Part II: Leading Teams.- Leading collaboration in the data zone.- Team science in biostatistical collaboration: An opportunity to practice leadership, embrace diversity, manage conflict and share credit.- Inclusive leadership across cultures, and cultural intelligence at home.- Part III: Connecting with Teams.- Empathy, humor and other emotional skills in leadership.- Personal and collective development via conversational intelligence.- The neuroscience of human connection and leadership.- Part IV: Connecting within Organizations.- Perspectives on Inclusive Leadership for Statisticians in Industry.- Diversity and inclusion in the federal government.- Leading and Managing Diversity in the Private Sector.- Diversity and inclusion in talent acquisition.-Part V: Organizing within Academe .- Leadership and diversity in statistics: Great initiatives by faculty advocates.- University faculty salaries: Comparing patterns of gender inequity to those in the general workforce.- Establishing and maintaining inclusive pipelines.- Part VI: Arguing for Full Inclusion.- Statistics as a tool for equity.- Inclusion of individuals with disabilities.- How the legal system’s failure to appreciate statistical evidence disadvantages plaintiffs in discrimination cases.- Part VII: Data Telling and Storytelling.- Data, imagination, and action in the profession of statistics: Working with the Annual and CBMS Surveys.- “And oh the stories we could tell”: Why numbers need a narrative.- The power of narrative in the quest for diversity and inclusion.- Part VIII: Life Telling.- The coin that improbably landed on its edge.- Independence and diversity as taught by my mentors.- My journey to leadership.- Part IX. Leading the Profession.- Why statistics needsthought leaders and how you can become one.- Leadership across the diversity of statistics.
关于作者
Amanda L. Golbeck is a statistician, social scientist, and academic leader. She received her Ph D from UC-Berkeley and is currently Professor of Biostatistics and Associate Dean for Academic Affairs in the Fay W. Boozman College of Public Health at the University of Arkansas for Medical Sciences. She is a Fellow of the American Statistical Association (ASA), an Elected Member of the International Statistical Institute, a past-president of the Caucus for Women in Statistics, and a former Fulbright Specialist to the University of Latvia at Riga. Dr. Golbeck has over 130 publications in medical sciences and history of science and is best known for her books, Leadership and Women in Statistics (edited with I. Olkin and Y. Gel), and Equivalence: Elizabeth L. Scott at Berkeley, both published by Chapman and Hall/CRC. She was selected in 2016 to receive the Committee of Presidents of Statistical Societies Elizabeth L. Scott Award. Her citation read: “for her outstanding efforts in enhancing the status of women and minorities, fostering new leadership opportunities for women and men, promoting diversity at all levels, and advocating for a more inclusive, open and supportive atmosphere in statistical sciences.”
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