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Evidence-Based Public Policymaking Program

Evidence-Based Public Policymaking Program

Program overview

The increasing complexity of public policy challenges facing decision makers in the domains of climate and energy policy requires organizations and professionals to adapt new approaches to developing policies and programs. This 3-day course is thus based on an iterative, problem driven, and data-informed approach that would intensively engage learners with real-world problems from their own workplaces and case studies based on the Saudi Arabian context. It will follow the practical SPDi framework for problem analysis through hands-on exercises designed to resolve challenges being faced by learners. They will have opportunities to engage with instructors and their own peers to dig deeper into policy problems they are grappling with daily, and practice co-designing solutions based on evidence and economic theory.






3 Days

Program Start

May 7, 2024

Program End

May 2, 2024

Learning Outcomes

  • Identify pressing policy problems based on learners’ own day-to-day responsibilities in their home organizations.

  • Diagnose the underlying root causes of these problems by deploying real-world data and economic theory.

  • Design practically feasible, innovative, and high-quality policy solutions to these problems.

  • Learn to implement and monitor the effectiveness of these solutions to solve problems with the help of rigorous evidence-based evaluation techniques.

Who Should Attend?

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Mid- and senior-level public officials

Mid- and senior-level public officials from across Saudi Arabia’s energy policy ecosystem seeking to improve their understanding of the policymaking process.

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Policy analysts, researchers, and academics

Policy analysts, researchers, and academics focused on improving how they support the design and evaluation of public policies; and

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Private sector professionals

Private sector professionals such as business analysts, strategy advisors, and analysts interested in improving their skillsets for policy advisory services.

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Proficiency of written and spoken English

The program will be delivered in English. Applicants should be proficient in written and spoken English.



Dr Ammar A. Malik

Dr. Ammar A. Malik is Senior Research Scientist at AidData, where he leads the Chinese Development Finance Program. His team develops pioneering methods, such as the Tracking Underreported Financial Flows (TUFF) methodology, to track and analyze underreported financial flows from non-traditional donors to developing countries.

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Contact us

Please do not hesitate to contact us if you need more information or require support. 



Business Hours

Sunday - Thursday 

8:00 am - 4:00 pm