Course description

THE CONFERENCE

The Planning, Research, and Statistics for Evidence Based Public Sector Performance Conference is a high-level professional forum designed to strengthen the capacity of public institutions to design, implement, and evaluate policies and programs using credible data, rigorous research, and integrated planning systems. In an increasingly complex governance environment, public sector performance depends on the ability of institutions to move beyond assumptions and intuition toward evidence driven decision making.

This conference provides a structured platform for senior planners, research officers, statisticians, policy analysts, and public sector leaders to examine how planning, research, and statistical functions can be effectively aligned to support sound policy formulation, efficient resource allocation, and improved service delivery outcomes. Emphasis is placed on institutionalizing evidence-based approaches within public administration systems and strengthening the link between data generation and decision making.

Through expert led sessions, applied policy discussions, and practical case analysis, participants will explore contemporary planning methodologies, public sector research practices, statistical analysis techniques, and performance measurement frameworks. The conference highlights the importance of data integrity, analytical capacity, interdepartmental coordination, and leadership commitment in translating evidence into action.

The Planning, Research, and Statistics for Evidence Based Public Sector Performance Conference ultimately aims to equip institutions with practical frameworks, analytical tools, and institutional perspectives required to improve governance quality, optimize resource use, and strengthen public service performance.

By the end of the conference, participants will be able to:

• understand the role of planning, research, and statistics in public sector performance improvement;
• strengthen the integration of data and research into policy formulation processes;
• apply evidence-based approaches to strategic planning and resource allocation;
• improve the quality, reliability, and use of public sector data;
• strengthen analytical and statistical capacity within institutions;
• align planning frameworks with national development priorities and policy objectives;
• use performance data to monitor outcomes and inform corrective actions;
• improve coordination between planning, research, statistics, and policy units;
• strengthen transparency and accountability through evidence-based reporting; and
• translate conference insights into practical institutional reforms and planning improvements.

WHO SHOULD ATTEND

• Directors and officers of planning departments
• Research and policy analysis professionals
• Statisticians and data management officers
• Monitoring and evaluation specialists
• Budget and finance officers
• Senior public sector managers and decision makers

Officials involved in policy development and performance management

Organizational Benefits of Attending this Conference

• Improved quality of policy and planning decisions
• More efficient and transparent resource allocation
• Stronger performance monitoring and accountability systems
• Enhanced coordination across planning and policy units
• Better service delivery outcomes
• Institutionalization of evidence-based governance practices

Personal Benefits of Attending this Conference

• Enhanced competence in evidence-based planning and analysis
• Improved skills in research interpretation and data use
• Greater confidence in advising leadership and policymakers
• Exposure to modern planning and statistical practices
• Practical tools applicable to institutional roles

Professional development and career advancement

What will i learn?

• • understand the role of planning, research, and statistics in public sector performance improvement;
• • strengthen the integration of data and research into policy formulation processes;
• • apply evidence-based approaches to strategic planning and resource allocation;
• • improve the quality, reliability, and use of public sector data;
• • use performance data to monitor outcomes and inform corrective actions;

Frequently asked question