Leadership in statistics and data science : planning for inclusive excellence / Amanda L. Golbeck, editor.
Golbeck, Amanda L., editor.
2021
QA276.17
Available Online

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Title Leadership in statistics and data science : planning for inclusive excellence / Amanda L. Golbeck, editor.
ISBN 3030600602 (electronic book)
9783030600600 (electronic bk.)
9783030600617 (print)
3030600610
9783030600624 (print)
3030600629
3030600599
9783030600594
DOI https://doi.org/10.1007/978-3-030-60060-0
Published Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-3-030-60060-0 doi
Call Number QA276.17
Dewey Decimal Classification 519.5023
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 6, 2021).
Added Author Golbeck, Amanda L., editor.
Available in Other Form Print version: 9783030600594
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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
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 Intelligenceat Home
Empathy, Humor and Other Emotional Skills in Leadership
Personal and Collective Development Via Conversational Intelligence
The Neuroscience of Human Connection and Leadership
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
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
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
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
The Coin That Improbably Landed on Its Edge
Independence and Diversity as Taught by My Mentors
My Journey to Leadership
Why Statistics Needs Thought Leaders and How You Can Become One
Leadership Across the Diversity of Statistics.

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