Leadership in Statistics and Data Science: Planning for Inclusive Excellence

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 needs thought leaders and how you can become one.- Leadership across the diversity of statistics.