ENCompass Learning Centre is hosting a workshop on the evaluation process, exploring the options, roles, and challenges that evaluators face in real-world settings. This two-module course will utilize case studies, exercises, and small group discussions, so participants can learn how to clarify interventions, identify beneficiaries, collect data, interpret results, and develop recommendations—all while cultivating a reflective, ethical, and culturally sensitive evaluation approach. The "Being an Evaluator" course is delivered through two virtual, instructor-led modules. Module 1: Evaluation 101 September 16, 9:00am-12:00pm Module 2: The Maze of Evaluation Choices September 18, 9:00am-12:00pm Register here

The Canadian Evaluation Society Nova Scotia Chapter is hosting Essential Skills Series facilitated by Nancy Carter. This online course is intended to provide learners with the foundations of professional evaluation including underlying evaluation theory, ethical considerations and standards, identifying objectives, stakeholder engagement, describing programs, creating evaluation questions, identifying indicators, research design and methods, data management and analysis, work planning, evaluation reporting. No prior experience is needed to attend this course. The course will run from 10:00-12:30pm ADT on the following dates: September 19, October 3rd, October 17th, and October 31st Register for the skills series here

The Excellence through Quality Improvement Project (E-QIP) is hosting a webinar series on Unlocking the Power of Data. In this session, Building Data Culture and Data Literacy through Dialogue, participants will learn how to: Facilitate Data-Driven Discussions Across Organizational Levels: Learn how to utilize data dashboards and visual management tools to enhance communication and decision-making across different organizational tiers. Enhance Data Literacy and Analytical Thinking: Understand the significance of data validation and selecting relevant indicators. The session will highlight the importance of starting with simple analyses and gradually progressing to more complex evaluations to ensure data accuracy and reliability. Build

EnCompass Learning Center is hosting a course introducing methods for using interviews to improve evaluation practices, including research-backed strategies for designing and conducting effective interviews, practical steps for successfully integrating interviews throughout the evaluation process, options for analyzing interview data, and techniques for visualizing the results. This course consists of four online modules: Module 1: Interview Foundations October 9, 2024 9:00am - 12:00pm ET Module 2: Interview Foundations October 11, 2024 9:00am - 12:00pm ET Module 3: Interview Foundations October 16, 2024 9:00am - 12:00pm ET Module 4: Interview Foundations October 18, 2024 9:00am - 12:00pm ET Classes will be

Our brains are naturally attuned to stories, making the narratives we pair with data more likely to lead to actionable insights. Join EnCompass Learning Center for a course on data storytelling, where participants will learn how to turn data and findings into compelling, visual stories that are clear, engaging, and aligned with your analysis.  This online course will consist of two modules: Module 1: Effective Data Storytelling October 21, 2024 1:00pm - 4:00pm ET Module 2: Interview Foundations October 24, 2024 1:00pm - 4:00pm ET Register for the course here

Join the Canadian Evaluation Society Ontario Chapter for a new workshop on Inclusive and Equitable Evaluation Using a Theory of Change. Facilitated by Elizabeth Sweitzer, attendees will learn how evaluators and implementers create Theories of Change (ToCs) to clarify the reasoning behind a proposed initiative, illustrate how the intended transformation could occur in a specific setting, and provide evidence-based justifications for its potential to achieve meaningful outcomes. To foster fairness and social justice in our efforts, it is essential to question our own knowledge frameworks by recognizing and examining our biases to understand the implications of our methods. By employing