Leadership in Statistics and Data Science

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 ofwomen 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.

Auteur

Amanda L. Golbeck is a statistician, social scientist, and academic leader. She received her PhD 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."