Golbeck / Olkin / Gel | Leadership and Women in Statistics | E-Book | sack.de
E-Book

E-Book, Englisch, 468 Seiten

Golbeck / Olkin / Gel Leadership and Women in Statistics


1. Auflage 2015
ISBN: 978-1-4822-3645-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 468 Seiten

ISBN: 978-1-4822-3645-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Learn How to Infuse Leadership into Your Passion for Scientific Research

Leadership and Women in Statistics explores the role of statisticians as leaders, with particular attention to women statisticians as leaders. By paying special attention to women’s issues, this book provides a clear vision for the future of women as leaders in scientific and technical fields. It also shows how emerging and current leaders of both genders in many disciplines can expand their leadership potentials.

Featuring contributions from leadership experts and statisticians at various career stages, this unique and insightful text:

- Examines leadership within the roles of statistician and data scientist from international and diverse perspectives

- Supplies a greater understanding of leadership within teams, research consulting, and project management

- Encourages reflection on leadership behaviors, promoting both natural and organizational leadership

- Identifies existing opportunities to foster creative outputs and develop strong leadership voices

- Includes real-life stories about overcoming barriers to leadership

Leadership and Women in Statistics explains how to convert a passion for statistical science into visionary, ethical, and transformational leadership. Although the context focuses on statistics, the material applies to almost all fields of endeavor. This book is a valuable resource for those ready to consider leadership as an important element of their careers, and for those who are already leaders but want to deepen their perspectives on leadership. It makes an ideal text for group leadership training as well as for individual professional development.

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Weitere Infos & Material


Preface

About the Editors

Fundamentals of Leadership

Outlook on Statistics Leadership
Ronald L. Wasserstein

Persuasion, Presence, and Patience: Important Characteristics of Leadership for Women in Statistics
Laura J. Meyerson

Domains of Leadership Behavior in Organizations
Sim B. Sitkin

Four Leadership Principles for Statisticians: A Note on Elizabeth L. Scott
Amanda L. Golbeck

Fresh Opportunities and New Challenges for the Statistics Discipline

Robust Leadership in Statistics
Jon R. Kettenring

Leading Significant Change in Official Statistics: A Woman’s Place Is In the Counting House!
Cynthia Z.F. Clark

What Makes a Leader?
Lynne Billard

To Be or Not To Be Bold: Effective Leadership in Various Individual, Cultural, and Organizational Contexts
Kelly H. Zou

Project Leadership

Statistical Challenges in Leading Large-Scale Collaborations: Does Gender Play a Role?
Bhramar Mukherjee and Yun Li

Leadership in Statistical Consulting
Duane L. Steffey

Women Leaders in Federal Statistics
Marilyn M. Seastrom

Leadership Competencies

Competencies Needed for Statistics Leadership from an International Perspective
Motomi Mori and Rongwei Fu

Organizational and Business Acumen: Observed and Latent Attributes
Sally C. Morton

Leadership: An Untold Story
Sallie Keller and Jude Heimel

Leadership and the Legal System
Mary Gray

Leadership Development Platforms

Professional Organization Membership
Lee-Ann Collins Hayek

Leadership Development in the Workplace
Gary R. Sullivan

Research Team Experience as a Platform for Leadership Development
William A. Sollecito and Lori A. Evarts

How Statisticians Can Develop Leadership by Contributing Their Statistical Skills in the Service of Others
Sowmya Rao

Individual Strategies

Lessons from an Accidental Leader
Arlene S. Ash

Practical Suggestions for Developing as an Academic Leader
Charmaine B. Dean, Nancy Heckman, and Nancy Reid

The Many Facets of Leadership
Jacqueline M. Hughes-Oliver and Marcia L. Gumpertz

Leadership and Scholarship: Conflict or Synergy?
Roy E. Welsch

Institutional and Network Strategies

The Value of Professional Champions and Mentors in an Academic Environment
Katherine Bennett Ensor

Mentoring: It Takes a Village. Personal Story
Sastry G. Pantula

‘If You Would Consider a Woman …’
Daniel L. Solomon

Fostering the Advancement of Women in Academic Statistics
Judith D. Singer

Contributors


Amanda L. Golbeck is professor of biostatistics at the University of Montana and former vice president for academic affairs at the Kansas Board of Regents. 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.



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