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How do you communicate the value of data when management doesn’t “get it”? Daniel explores strategies for bridging the gap between technical insight and leadership expectations, sharing lessons on influence, communication, and impact.

Fair access to healthcare depends not just on distance, but on how reliable public transport really is. Traditional studies often rely on scheduled travel times, missing the variability people actually face. Zihao presents a new approach using real-time bus data to compare scheduled vs observed travel times to hospitals and GPs across England. The results show systematic gaps between expected and observed travel times, revealing new dimensions of inequality and highlighting the importance of operational data for more evidence-based transport and service planning.

Sewage pipes may not be the most glamorous subject, but they are critical to how our cities function. Me and my team have been developing tools to automatically annotate faults in sewage pipes. One of the functionalities we explored is to predict and record water level during the surveys, since it affects how much of the pipe can be inspected. In this talk, I will share the approaches we have explored and some insights into their effectiveness and the challenges we faced.

AI/ML
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