Demonstrating Impact, Evidence and Value
This session focuses on how projects demonstrate their value in ways that resonate with institutions, partners and funders. Participants will explore how AI tools can support the organisation of evidence, analysis of outcomes and development of clear narratives about impact. Rather than treating impact as something written at the end of a project, the session shows how it can be designed into delivery from the start. Participants will leave with practical approaches for articulating what their work achieves and why it matters.

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The AI Landscape: Tools, Shifts and Ways to Process Sensitive Information

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How to map out your content plan for AEO

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How Proctor’s texts in Karen Read lawsuit could free dangerous criminals

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Everything you need to know about ESOS Phase 4 - Live Webinar with TEAM Energy

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Designing an Effective AI Workflow Across a Project

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Using AI to Conduct CFIR-Guided Implementation Analysis of Clinical Trial Data

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A Nobel Laureate's Honest Review of AI In Biology

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Harvard Professor Explains The Rules of Writing — Steven Pinker

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AI Is Creating A Rare Opportunity For Investors. How Jim Roppel Is Playing It. | Investing With IBD

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From Feedback to Insight: Rethinking Progress and Impact in 2026

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What do tech pioneers think about the AI revolution? - The Engineers, BBC World Service

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Getting Your Team to Actually Use AI (People, Process, Tools)

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From Idea to Prototype Platform or App

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Republicans Rebuke Trump Over Iran, Vote to End War | Command Post

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Gamification and Playable Experiences
![Why AI in the classroom is a catastrophe | Sophie Winkleman [ARC 2026]](https://i.ytimg.com/vi/yFp5-i5fzyQ/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDLvUnH0TgFfiPkvJVJQ721meGc3w)
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Why AI in the classroom is a catastrophe | Sophie Winkleman [ARC 2026]

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Webinar: Learning Pathways into Technology Careers

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Risk@Work: Navigating Chaos: Engaging the First Line of Defense in a Crisis | Ft. Michael Rasmussen

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AI in Qualitative Data Analysis

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