Transformative Evaluation Practice through the Lens of Artificial Intelligence
Webinar | Online
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Organized by:
The MERL Tech Initiative
About the Event
In an era characterized by unprecedented challenges such as climate change, inequality, and security threats, the call for transformational change is louder than ever. This 2-hour webinar experience explores the pivotal role of artificial intelligence (AI) in revolutionizing evaluation practice and enhancing the capacity of practitioners to contribute effectively to transformational change. Webinar presenters and participants will dive into AI's potential to support evaluation practitioners, participants, and consumers of evaluation, including policy makers, in leveraging the disruptive technology of artificial intelligence in the evaluation field’s efforts to contribute to transformational change.
Specifically, the webinar will convene a diverse range of young and emerging evaluators with mid-career evaluators to discuss how they are using and supporting the integration of AI in strengthening individual evaluation capacity and organization evaluation functions. The webinar will be a mixture of discussions, demos, case studies, and discussions with participants on the perils and promises of AI’s role in supporting evaluation’s ambition with transformation change. With so much hype around AI, now more than ever there is a need to support evaluators as they develop the critical literacy to balance ambition and realism with what this disruptive technology can and cannot do for the field of transformational evaluation.
Participants will learn about the fundamentals of generative AI technology, emergent fairness, accountability, transparency, and equitable (FATE) frameworks for the responsible use and integration of AI in their evaluation practice, and discover basic to advanced use cases for this technology to support transformative change through through historical and potential applications of this technology in evaluation and using evidence for transformative policy making. Case studies will be presented along with some introduction to specific tools and procedures for integrating AI into evaluation practice.
When you register for this event, you will receive a confirmation with a zoom registration link in your email, please follow the prompts to receive an invite to your calendar with the meeting link.
Specifically, the webinar will convene a diverse range of young and emerging evaluators with mid-career evaluators to discuss how they are using and supporting the integration of AI in strengthening individual evaluation capacity and organization evaluation functions. The webinar will be a mixture of discussions, demos, case studies, and discussions with participants on the perils and promises of AI’s role in supporting evaluation’s ambition with transformation change. With so much hype around AI, now more than ever there is a need to support evaluators as they develop the critical literacy to balance ambition and realism with what this disruptive technology can and cannot do for the field of transformational evaluation.
Participants will learn about the fundamentals of generative AI technology, emergent fairness, accountability, transparency, and equitable (FATE) frameworks for the responsible use and integration of AI in their evaluation practice, and discover basic to advanced use cases for this technology to support transformative change through through historical and potential applications of this technology in evaluation and using evidence for transformative policy making. Case studies will be presented along with some introduction to specific tools and procedures for integrating AI into evaluation practice.
When you register for this event, you will receive a confirmation with a zoom registration link in your email, please follow the prompts to receive an invite to your calendar with the meeting link.
Speakers
| Name | Title | Biography |
|---|---|---|
| Zach Tilton | Evaluation Specialist | Zach is an evaluation specialist with The MERL Tech Initiative who focuses on youth-led evaluation, AI-enabled evaluation practice, and meta-evaluation. He co-chairs the Sandbox working group in the MERL Tech NLP CoP and is a doctoral candidate in evaluation at Western Michigan University. |
| Lydiane Mbia | Independent Evaluation & Research Consultant | Lydiane is a Young and Emerging Evaluator and holds a master’s in public administration from the London University of Roehampton. She's an independent evaluation consultant focused on advancing indigenous and transformative evaluation. https://www.linkedin.com/in/lydianejosephambia-a7684b92/ |
| Harsh Anuj | Data Scientist | Harsh Anuj is a Data Scientist with the Independent Evaluation Group of the World Bank Group. Harsh works on the application of text and data analytics, including machine learning, to IEG's work on evaluative analysis and knowledge synthesis. https://www.linkedin.com/in/hanuj/ |
| Chineme Anowai | MEAL Officer | As an Assistant MEAL Officer at Preston Associates, I support the monitoring, evaluation, accountability and learning of various projects, using data analysis and machine learning techniques to measure impact and effectiveness. https://www.linkedin.com/in/chineme-anowai-93459b21a/ |
| Theophilus Courage Gbayou | Monitoring & Evaluation Officer | https://www.linkedin.com/in/theophilus-gbayou-395a7323b/ |
| Nsabimana Loic | MEAL Specialist | https://www.linkedin.com/in/nsabimana-loic-a94a3867/ |
| Ngesa Maturu | Technologist | https://www.linkedin.com/in/ngesamaturu/?originalSubdomain=ke |
| Mutsa Chinyamakobvu | Associate Director | https://www.linkedin.com/in/mutsa-carole-chinyamakobvu/?originalSubdomain=za |