Event Date: 2026-09-24 SQEP Deadline: 2026-09-23
In times of financial scarcity, nonprofit organizations and international cooperation stakeholders face the dual challenge of maximizing their social impact while optimizing the use of limited resources. This training course aims to demystify agile and participatory evaluation. This approach makes it possible to collect relevant data in real time, adapt quickly to changing circumstances, and strengthen team autonomy. Through practical examples and proven methodological frameworks, participants will learn how to design and implement evaluation systems.
Event Date: 2026-09-27 Richard Jones Deadline: 2026-08-31
Introducing IAEA and the 2026 Conference
Event Date: 2026-10-07 Canadian Centre for Safer Communities Deadline: 2026-10-07
This two-part virtual training is designed to help practitioners working on multi-sector community safety strategies build the skills to generate and use evidence in ways that:Support learning and continuous improvement;Demonstrate outputs, outcomes, and impacts;Support communications around progress; andInform decision-making.
Event Date: 2026-10-26 The Evaluators' Institute Deadline: 2026-10-22
Contemporary evaluation theory and practice are changing rapidly to adapt to a new and evolving evaluation ecosystem. This course is designed to explore the basics needed to be a successful evaluator and applied researcher in the age of Artificial Intelligence (AI). Guided by the American Evaluation Association (AEA) foundational documents including the AEA evaluator competencies and public statement on cultural competence, this course will provide new and emerging evaluators, and applied researchers, with an up-to-date perspectives on evaluation theory, approaches, methods, and practice. Although the major focus of the course is program evaluation in multiple settings (e.g., public health, education, social services, business, and international development), examples from personnel evaluation, product evaluation, organizational evaluation, and systems evaluation will be used to illustrate the basics. The course will conclude with how to plan, design, and conduct ethical and high-quality program evaluations using AI and a and culturally responsive approach.
In today’s increasingly data-driven world, the ability to clearly communicate the insights in one’s data is more important than ever. Data visualizations can help make data and analyses more easily understood, accessible, and impactful to broader audiences. In this introductory course, participants will learn the fundamentals of creating effective data visualizations, including how to identify interesting stories in their data, how to choose appropriate chart forms to convey that story, and how to finesse the design of their charts to maximize the impact of the message being conveyed. This course will be interactive and hands-on, with opportunities to practice creating charts using DataWrapper or a tool of the participant’s choosing. Ultimately, participants will create a visualization using their own data that applies the concepts covered in this course.