Dr. Hannah Fry
Guest Keynote

Dr. Hannah Fry

Associate Professor in Mathematics
Dr Hannah Fry is an Associate Professor in the Mathematics of Cities at the Centre for Advanced Spatial Analysis at UCL where she studies patterns in human behaviour. Her research applies to a wide range of social problems and questions, from shopping and transport to urban crime, riots and terrorism.

Her critically acclaimed BBC documentaries include ‘Horizon: Diagnosis on Demand? The Computer Will See You Now’, ‘City in the Sky’ (BBC Two), ‘Magic Numbers: Hannah Fry’s Mysterious World of Maths’, ‘The Joy of Winning’, ‘The Joy of Data’, ‘Contagion! The BBC Four Pandemic’ and ‘Calculating Ada’ (BBC Four). She also co-presents ‘The Curious Cases of Rutherford and Fry’ (BBC R4).

As an author, Hannah has written: ‘Hello World’ (Transworld, 2018), ‘The Indisputable Existence of Santa Claus: The Mathematics of Christmas’ (Transworld, 2016) and ‘The Mathematics of Love: Patterns, Proofs, and the Search for the Ultimate Equation’ (Simon & Schuster/ Ted, Feb 2015)
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Tuesday, September 22, 2020 08:15 AM|Tuesday, September 22, 2020 09:00 AM
Guest Keynote: How to be Human in the Age of the Machine

We all like to think of ourselves as strong, independent and single-minded individuals. But despite our illusion of free will, despite the seemingly random sets of circumstances that bring about our decisions, our behaviour as humans is surprisingly easy to predict.

But what about if we go beyond the superficial, past correlations and pattern recognition and get right into the heart of who we are as humans. Are there stories hidden in our data that will surprise us? How can they be used against us? And can we use what we learn about ourselves to make the world better?

In this talk, I'll take you on a tour the intriguing insights we're uncovered by looking at ourselves through the eyes of data. For good or for bad, I'll show you how a mathematical view of what means to be human is already shaping the way we design our society.

Meet the experts face to face.