TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-60060-0
DO  - doi
AB  - 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.
T1  - Leadership in statistics and data science :planning for inclusive excellence /
AU  - Golbeck, Amanda L.,
CN  - QA276.17
ID  - 1435227
KW  - Statisticians
KW  - Computer scientists
KW  - Management.
KW  - Social integration.
KW  - Statistics
KW  - Statisticiens
KW  - Informaticiens
KW  - Gestion.
KW  - Intégration sociale.
KW  - Statistique
SN  - 3030600602
SN  - 9783030600600
SN  - 9783030600617
SN  - 3030600610
SN  - 9783030600624
SN  - 3030600629
TI  - Leadership in statistics and data science :planning for inclusive excellence /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-60060-0
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-60060-0
ER  -