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Leadership in statistics and data science: planning for inclusive excellence

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...

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Detalles Bibliográficos
Autor principal: Golbeck, Amanda
Lenguaje:eng
Publicado: Springer 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-60060-0
http://cds.cern.ch/record/2763349
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author Golbeck, Amanda
author_facet Golbeck, Amanda
author_sort Golbeck, Amanda
collection CERN
description 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.
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spelling cern-27633492021-04-21T16:38:34Zdoi:10.1007/978-3-030-60060-0http://cds.cern.ch/record/2763349engGolbeck, AmandaLeadership in statistics and data science: planning for inclusive excellenceMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:27633492021
spellingShingle Mathematical Physics and Mathematics
Golbeck, Amanda
Leadership in statistics and data science: planning for inclusive excellence
title Leadership in statistics and data science: planning for inclusive excellence
title_full Leadership in statistics and data science: planning for inclusive excellence
title_fullStr Leadership in statistics and data science: planning for inclusive excellence
title_full_unstemmed Leadership in statistics and data science: planning for inclusive excellence
title_short Leadership in statistics and data science: planning for inclusive excellence
title_sort leadership in statistics and data science: planning for inclusive excellence
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-60060-0
http://cds.cern.ch/record/2763349
work_keys_str_mv AT golbeckamanda leadershipinstatisticsanddatascienceplanningforinclusiveexcellence