“Oh Great, No Chips Left!” How AI is Transforming Qualitative Analysis: Navigating the Challenges of Ambiguity and Context

Data and Insights Lead Ethel Karskens spoke on AI at the 2024 AES Conference. She talked about context, data quality and… potato chips? Read more…

Jess Dart’s AES24

AES24 presentation: From KPIs to systems change: Reimagining organisational learning

At AES 24, Katrina Barnes will present on work she conducted at Oxfam, and Oxfam’s journey to decolonise its knowledge and evaluation processes. Read about it in this article!

AES Conference 2024: Here’s what we’re excited for!

Attending a conference like AES24 can be a whirlwind of sessions, networking, and new ideas. We asked our colleagues what they’re excited about, what tips they have to share to first-time attendees, and what sessions they definitely won’t be missing! Here’s what they said.

10 tips for having a great conference experience

Attending a conference can be a whirlwind of sessions, networking, and new ideas. It’s an opportunity to learn from industry leaders, connect with peers, grow your network, and immerse yourself in the latest thinking. Here are our ten tips to help you make the most of any event you attend. Let’s dive into it!

Pre-Conference Workshop banner for aes24 International Evaluation Conference, scheduled for Monday, 16 September 2024, a full-day event. The workshop is titled 'Wayfinding in measurement, evaluation, and learning – for new and emerging evaluators.' Presented by Shani Rajendra and Jessica Suares. The banner includes photos of the presenters and graphic elements like an eagle in flight and a pattern of bird tracks.

Workshop: Wayfinding in measurement, evaluation and learning

AES 2024: This pre-conference workshop intends to empower emerging evaluators with a foundational understanding of Measurement, Evaluation, and Learning (MEL). Learn more.

How to Apply Measurement, Evaluation, and Learning (MEL) to a Community Garden Project

Unpacking Bias: Most Significant Change and Language Influence on the Selection Process

A little while back, we had an interesting exchange in our Microsoft Teams channel about the inherent bias in the story selection process in the Most Significant Change (MSC) technique and what can be done to address it. In honour of the approaching 20-year anniversary of the MSC method (yes, it’s really been around for nearly 20 years!) we thought we should shine a light on how we help clients and learners mitigate the effects of their story selection bias to make the most of the MSC method.