GEI Training and Professional Development Programs

Objective(s): equip participants with the technical tools to apply a structured and highly practical approach to programme design and implementation, incorporating economic theory and evidence at every stage; help determine mechanisms that can help ensure that development policies and programmes in Pakistan achieve maximum impact.

Objective(s): teach participants how to apply a structured, data-driven approach to decision making; appreciate that data is accessible, practical, and applicable; recognize and articulate the value of grounding decisions in explicitly stated theories; understand and apply the principles of iterative design to refine and improve programmes, policies and products; and lead organisational change to build a culture of evidence-driven innovation

Scope: course content primarily focuses on the use of big data, and envisioning and leading a data-savvy organization of any kind.

Objective(s): investigate individual and organisational barriers to using data and evidence, and work with local collaborating organisations to systematically address these constraints in their own context.

Scope: Systematic Approaches to Policy Decisions, Cost Benefit Analysis, Descriptive Evidence, Commissioning Evidence, Aggregating Evidence, Impact Evaluations, and Using Data Systems

Objective(s): build participants’ ability to leverage data to make strategic decisions and use iterative design to rapidly test and hone their solutions as well as provide participants with tools and skills necessary to solve their companies’ most pressing problems, harness growth opportunities and change the socio-economic and industrial landscape of Pakistan.

Objective(s): provide participants with foundational knowledge and skills in the field of evaluation in a development context; train participants on the general principles and contexts as well as current challenges related to evaluation; develop participants' understanding and knowledge of evaluation concepts, approaches and methodologies; provide participants with an opportunity to acquire practical experience and skills in the field of evaluation planning and implementation through practical case studies; train participants to run and manage the evaluation process and tasks; and rai

Objective(s): train professionals who seek to deepen their knowledge of public policies with a solid microeconomic and quantitative foundation for the design, monitoring and evaluation of public policies. The program is the result of a partnership with the Center for Learning in Evaluation and Results for Lusophone Africa and Brazil (CLEAR) at FGV EESP, which belongs to an international network of academic institutions supported by the Global Evaluation Initiative, with a focus on promoting evidence-based public policies.

Objective(s): provide a thorough grounding in conducting randomised evaluations for measuring the impact of social programmes and policies.

Scope: the programme covers methods and considerations for the design and implementation of randomised evaluations, and how findings can inform evidence-based policies and programmes.

Objective(s): equip young development researchers with the theoretical knowledge and practical skills necessary to design and implement randomised evaluations for assessing the effectiveness of social policies and programmes.

Scope:
Stage 1 - course on the theory behind designing and implementing evaluations (proctored exam at the end of stage 1)
Stage 2 - practical training on implementing an evaluation, course on primary data collection covering a range of topics related to measurement and survey tools

Objective(s): provide a comprehensive introduction to the concepts in measurement theory and quantitative survey design.

Scope: the programme covers the practical and theoretical aspects of collecting high-quality data, particularly for concepts that are difficult to measure, through an array of pedagogical tools including lectures, case studies, and experiential exercises.

Objective(s): teach participants the history and purpose of results-based management, comparing it with alternative models of public management; explain the three main stages of RBM (planning, monitoring, evaluation) and the different activities related to each; and train participants on the main practical tools of RBM (logical framework including target objectives, indicators and hypotheses, monitoring dashboard and evaluation questions).