Leadership In Statistics And Data Science | Amanda L. G.

Leadership in Statistics and Data Science | Amanda L. Golbeck

Promotes an inclusive and diverse workplace culture through a wide array of contributing authors

Shows how positive change in statistics workplace climates and cultures can become the responsibility of every individual who participates in the organization or on the team

Examines how inclusive and humanistic leadership can maximize the quality of leader-follower relationships within the influence process and elevate the statistics workplace to be an enlightened community

Examines the nuances of why cultures are so difficult to change, as well as how to mitigate those barriers to culture change in statistics workplaces

Explores the signature skills and competencies associated with inclusive, humanistic, and thought leadership and how exercise of these skills and competencies helps position our organizations and teams to be successful within multicultural and global environments.

INTRODUCTION

This edited collection brings together voices of the strongest thought leaders for 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 both 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 women and 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.

TABLE OF CONTENTS
Front Matter
Pages i-xxvii
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Opportunity for the Profession

Front Matter
Pages 1-1
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The Changing Culture of Statistics and Data Science: A Vision for the Profession
Amanda L. Golbeck, Craig A. Molgaard
Pages 3-18
Power and Privilege: Reshaping the Opportunity Structure for Equitable Leadership in Statistics and Data Science
Emma Benn
Pages 19-28

Leading Teams

Front Matter
Pages 29-29
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Leading Collaboration in the Data Zone
Nancy Fagenson Potok
Pages 31-45
Team Science in Biostatistical Collaboration: An Opportunity to Practice Leadership, Embrace Diversity, Manage Conflict, and Share Credit
Jaya M. Satagopan, Madhu Mazumdar
Pages 47-63
Inclusive Leadership Across Cultures and Cultural Intelligence at Home
James J. Cochran
Pages 65-85

Connecting with Teams

Front Matter
Pages 87-87
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Empathy, Humor and Other Emotional Skills in Leadership
Sandra Sebre, Ieva Stokenberga, Sanita Šaitere
Pages 89-103
Personal and Collective Development Via Conversational Intelligence
Adriana Pérez
Pages 105-115
The Neuroscience of Human Connection and Leadership
Nicole A. Lazar
Pages 117-127

Connecting Within Organizations

Front Matter
Pages 129-129
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Perspectives on Inclusive Leadership for Statisticians in Industry
Ellen Sim Snyder, Lisa Lupinacci, Nora Vele
Pages 131-152
Diversity and Inclusion in the Federal Government
Wendy L. Martinez, Donna LaLonde
Pages 153-163
Leading and Managing Diversity in the Private Sector
Mary Batcher, Edward Mulrow
Pages 165-170
Diversity and Inclusion in Talent Acquisition
Adrian Coles
Pages 171-183

Organizing Within Academe

Front Matter
Pages 185-185
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Leadership and Diversity in Statistics: Great Initiatives by Faculty Advocates
Marcia Gumpertz, Jacqueline M. Hughes-Oliver
Pages 187-201
University Faculty Salaries: Comparing Patterns of Gender Inequity to Those in the General Workforce
Mary C. Meyer
Pages 203-210