How data deceives and informs us - with Emma McCoy
What are the risks and benefits of data analysis and output from AI tools?Watch the Q&A here (exclusively for YouTube channel members) https://youtu.be/CSmDQnZNzaU
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This lecture was recorded at the Ri on 20 April 2024, in collaboration with the Martingale Foundation. Martingale Foundation supports a new generation of postgraduates to become STEM leaders, enabling talented students facing financial barriers to pursue Masters and PhDs at some of the leading research universities in the UK. Find out more here: https://martingale.foundation/
As our world becomes increasingly digital, the role of data science and AI literacy is more important than ever. Whether in academia, the professional world, or as engaged citizens, understanding these technologies has become indispensable for informed decision-making.
Join Emma McCoy, Vice President and Pro-Vice Chancellor (Education) and Professor of Statistics at the London School of Economics (LSE), as she sheds light on the importance of these skills by drawing on her own experiences. Emma will guide us through the landscape of data science, emphasising its role in extracting meaningful insights. She will also highlight the importance of AI literacy, going beyond basic understanding to critically assess and interpret AI outputs.
Finally, Emma will address the potential pitfalls of these skills as well as their applications, arming us with tips and tricks to avoid biases in the quest for accurate results.
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Emma McCoy is Vice President and Pro-Vice Chancellor (Education) and Professor of Statistics at the London School of Economics (LSE). She has a particular interest in mathematics education and is a member of the Royal Society Advisory Committee of Mathematics Education (ACME), and its A-level Contact Group for Mathematics. Emma’s research interests are in time series and causal inference, with a particular focus on how best to use data to inform intervention policies in transport applications. She is a Fellow of the Institute of Mathematics and its Applications and the Royal Statistical Society.
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