O. Olawale Awe, PhD is a distinguished academic and statistician. He currently serves as the Vice President of the International Association for Statistics Education (IASE). His impressive affiliations include being an elected member of the International Statistics Institute (ISI), Vice President of Global Statistical Engagements of the LISA 2020 Global Network, USA, and a research professor and team leader at the Statistical Learning Laboratory (SaLLy) of the Federal University of Bahia, Brazil. As the pioneering LISA Fellow of the LISA 2020 Global Network at the University of Colorado, Boulder, USA, he has significantly contributed to the global statistical community. Awe's dedication to capacity-building is evident through the numerous workshops and seminars he has facilitated globally. His passion for enhancing the skills of statisticians in Africa and other developing countries drives his work. Holding a Ph.D. in Statistics from the University of Ibadan, Nigeria, and an MBA from Obafemi Awolowo University, Ile-Ife, Nigeria, Awe is an Affiliate Member of the prestigious African Academy of Sciences (AAS). His leadership extends to roles such as a former Council Member of the International Society for Business and Industrial Statistics (ISBIS) (2017-2021) and a country coordinator (Nigeria) for the International Statistical Literacy Program (ISLP) of the ISI. Currently, he serves as a professor and academic director of data science at Anointed University, South Africa, a professor and Ph.D. advisor at the Global Humanistic University (GHU), Curacao, and holds a visiting professorship at the African Institute of Mathematical Sciences (AIMS). Awe's multifaceted contributions underscore his commitment to advancing statistical education and research on a global scale.Eric A. Vance is an Associate Professor of Applied Mathematics and the Director of the Laboratory for InterdisciplinaryStatistical Analysis (LISA) at the University of Colorado Boulder, USA. He is the Global Director of the LISA 2020 Network. He researches the micro- and macro-theory of collaboration, i.e., what individual statisticians and data scientists need to know to become effective interdisciplinary collaborators and what institutions can do to promote interdisciplinary collaboration between domain experts, statisticians, and data scientists. He is an Elected Member of the International Statistical Institute and a member of its Statistical Capacity Building Taskforce. He is a Fellow of the American Statistical Association (ASA) and winner of the 2019 ASA Jackie Dietz Award for best paper in the Journal of Statistics Education for “The ASCCR Frame for Learning Essential Collaboration Skills.” He is a past chair of the ASA Section on Statistical Consulting and the Conference on Statistical Practice. He has traveled through 85 countries and keeps these experiences in mind as he collaboratestoward building capacity for sustainable development.