Leadership and Women in Statistics

ISBN-13: 9781032098425 / Angielski / Miękka / 2021 / 476 str.

Amanda L. Golbeck; Ingram Olkin; Yulia R. Gel

Opis

This unique and insightful book examines leadership within the roles of statistician and data scientist from international and diverse perspectives. Featuring contributions from leadership experts and statisticians at various stages on the career jungle gym, the text supplies a greater understanding of leadership within teams, research consultin

Spis treści

Fundamentals of Leadership. Fresh Opportunities and New Challenges for the Statistics Discipline. Project Leadership. Leadership Competencies. Leadership Development Platforms. Individual Strategies. Institutional and Network Strategies.

O autorze

Amanda L. Golbeck is professor of biostatistics and associate dean for academic affairs at the University of Arkansas for Medical Sciences. She served in a variety of leadership roles from department chair to vice president and academic dean at four academic institutions. She currently teaches courses in public health administration and management and public health leadership, and she is a member of the American Statistical Association president’s workgroup on developing training in statistical leadership. Dr. Golbeck is an elected fellow of the American Statistical Association, an elected member of the International Statistical Institute, a past president of the Caucus for Women in Statistics, and a country representative to the International Statistical Institute Committee on Women. She earned a BA from Grinnell College, followed by MA degrees in anthropology and statistics, and a Ph.D in biostatistics from the University of California at Berkeley. She also earned certificates in educational management at Harvard University’s Graduate School of Education, leadership at the American Association of State Colleges and Universities’ Millennium Leadership Initiative, negotiation at the John F. Kennedy School of Government, and women in leadership at the American Academy of Neurology. Grinnell College, the Kansas Board of Regents, and the American Statistical Association have presented awards to her in recognition of her leadership.

Ingram Olkin is professor emeritus in statistics and education at Stanford University. He received a doctorate from the University of North Carolina, and before moving to Stanford, was on the faculties of Michigan State University and the University of Minnesota. He has written a number of books, and has served on editorial boards for statistical, educational, and mathematical journals. He has served as chair of the Committee of Applied and Theoretical Statistics, chair of the Committee of Presidents of Statistical Sciences (COPSS), and as president of the Institute of Mathematical Statistics. He has been a Guggenheim Fellow, an Alexander von Humboldt Fellow at the University of Augsburg, a Lady Davis Fellow at Hebrew University, an Overseas Fellow at Churchill College, and received an honorary D.Sci from DeMontfort University. He received a Lifetime Contribution Award from the American Psychological Association, and a Wilks Medal and a Founders Award from the American Statistical Association. For many years, he has been involved in the furtherance of women in statistics, for which he received the COPSS Elizabeth L. Scott Award.

Yulia R. Gel is professor in the Department of Mathematical Science at the University of Texas at Dallas. From 2004 to 2013 she was assistant/associate professor in the Department of Statistics and Actuarial Science at the University of Waterloo, Ontario, Canada, where she started upon completion of her postdoctoral fellowship at the University of Washington. She earned her Ph.D in mathematics from Saint-Petersburg State University, Russia. She held visiting positions at Johns Hopkins University, George Washington University, and University of California, Berkeley, USA. She was vice president for membership and outreach of the International Society on Business and Industrial Statistics (ISBIS) and is currently the treasurer of the International Environmetrics Society (TIES). She is also a member of the Committee on Women in Statistics of the International Statistical Institute, a fellow of the American Statistical Association, and a recipient of the Abdel El-Shaarawi Young Researcher’s Award in environmental statistics.