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Data is everywhere — from your phone and fitness tracker to the services you use every day. But what does it actually tell you and what does it miss? Join data scientists who will bring data to life through real stories, showing how researchers use data to understand the world and why numbers alone aren’t enough. Through three short, engaging talks, we'll explore how data helps answer big questions, why lived experience gives it meaning, and what happens when you combine both to create real-world impact. Expect a relaxed, conversational evening with plenty of opportunities to ask questions.
Data is powerful but incomplete
The Big Picture
• What data is doing in our lives, what data we collect that researcher use
• Why it matters – answering the who / what / where / when questions
• But data alone is not enough
• What data is doing in our lives, what data we collect that researcher use
• Why it matters – answering the who / what / where / when questions
• But data alone is not enough
People Give Data Meaning
Data can tell us what’s happening - but not always why.
In this talk, hear about what changes when researchers stop just analysing data and start working with the people behind it. Through real examples we’ll explore how lived experience can completely shift how we understand the same numbers.
Because sometimes, what looks obvious in the data… isn’t the full story at all.
In this talk, hear about what changes when researchers stop just analysing data and start working with the people behind it. Through real examples we’ll explore how lived experience can completely shift how we understand the same numbers.
Because sometimes, what looks obvious in the data… isn’t the full story at all.
What Happens When We Combine Both
Combining data and people leads to better answers – a case study
Focus:
• Real-world application
• Outcomes and impact (eg how defined measures that matter to people)
Core message: Combining data and people leads to better answers
Focus:
• Real-world application
• Outcomes and impact (eg how defined measures that matter to people)
Core message: Combining data and people leads to better answers
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