Director Almeda serves as panelist in GIST Webinar Series on Selected Topics on Management Aspects of Capacity Building
Posted October 2, 2023
PSRTI Executive Director III Josefina V. Almeda, PhD, is a panelist of the Global Network of Institutions for Statistical Training (GIST) Webinar Series, particularly on Good Practices in Certification of Trainings. The virtual seminar, held on September 28, 2023 explored best practices in certifying training courses in the field of statistics.


Shailja Sharma, Director of the Statistical Institute for Asia and the Pacific (SIAP), and Sophie Ditlecadet from the Food and Agriculture Organization (FAO), both serving as co-chairs of the GIST Task Team 2, welcomed the moderator and panelists. Following this, Sinovia Moonie, a statistician from SIAP, introduced the main themes of the paper on the assessment of certification for statistical training courses.
The panelists, aside from Director Almeda, include Ms. Ditlecadet and Naoki Makita, Statistical Research and Training Institute, Japan.
In her capacity as a panel member, Dr. Almeda drew upon her extensive real-world experience in certifying training courses. She provided insightful responses to questions concerning the scope and validity of statistics trainings, with a special emphasis on Regular and Customized Training Courses (RTCs and CTCs) conducted by the PSRTI, and how the agency issues training certificates such as Certificate of Completion and Certificate of Participation.
The objectives of the webinar on certification of courses are to share good practices by national and international organizations working on statistical training on the certification of courses and discuss challenges and opportunities that arise with course certification.
The GIST serves as a network encompassing international and regional statistical training institutions united by a common goal: to foster sustainable statistical capacities through efficient, effective, and harmonized training delivery. The network strives to standardize processes and maximize outreach, contributing significantly to the field of statistical training and research.