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CIM Practical 1

26 February @ 2:00 pm - 3:30 pm GMT

Using Artificial Intelligence (AI) in an Evaluation Context

This training session will provide participants with practical insights on how Artificial Intelligence (AI) can enhance Impact Measurement and Management (IMM) across the 12 steps framework. AI applications will be explored for stakeholder engagement, ethical evaluation, theory of change development, data collection, analysis, and communication of impact. Through hands-on exercises, participants will discover how AI can streamline workflows, improve data quality, and support decision-making. By the end of the session, attendees will gain confidence in integrating AI to strengthen IMM processes and drive meaningful impact.

This session will last 90 minutes and will be followed by an additional half hour of optional Q&A time.

 

This session is open to those enrolled on the Complete Impact Manager (CIM) course. Learn more:

If you're already enrolled on the CIM course, please log in to register for the session.

Tutors

Dr Damian Hatton

Dr Damian Hatton

Strategy, Evaluation & Learning Specialist

Damian has worked in the non-profit sector for 25 years, first as a charity CEO, then a SAAS technology provider to non-profits. Since 2010 he has led numerous complex multi-country, multi-stakeholder research and evaluation projects spanning various social and humanitarian development thematics.

Dr Graham Spacey

Dr Graham Spacey

Senior Evaluation and Learning Consultant

Graham is an evaluation and learning consultant with over 15 years’ impact measurement experience. He consults for a range of public, private and community sector actors; delivers training; and conducts research and learning exercises with stakeholders to inform future best practice.

Details