Using ML to Understand the Link Between Scenic Beauty and Wellbeing
Intuitively, we often seek out beautiful scenery when we want a respite from our busy lives, but do such settings actually help to boost our wellbeing?
While architects, urban planners and policymakers have puzzled over this question for centuries, quantitative analyses have been held back by a lack of data on the beauty of our environment. Now, the vast volumes of geotagged images readily shared on the Internet, alongside developments in computer vision and deep learning, are opening up new opportunities to quantify aspects of the visual environment that were previously hard to measure.
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Thanks to our sponsors
Using ML to Understand the Link Between Scenic Beauty and Wellbeing
Chanuki Illushka Seresinhe
Chanuki Illushka Seresinhe is a data science researcher at the Alan Turing Institute. She also works as a senior data scientist at Channel 4. Chanuki's research entails using big online datasets and deep learning to understand how the aesthetics of the environment influences human wellbeing. Her research has been featured in the press worldwide including The Economist, Wired, The Times, BBC, Spiegel Online, The Guardian, The Telegraph and Scientific American. She received her PhD from the Data Science Lab, Warwick Business School, University of Warwick. Previously, she ran her own digital design consultancy advising clients on presenting their businesses successfully online.
Intuitively, we often seek out beautiful scenery when we want a respite from our busy lives, but do such settings actually help to boost our wellbeing?
While architects, urban planners and policymakers have puzzled over this question for centuries, quantitative analyses have been held back by a lack of data on the beauty of our environment. Now, the vast volumes of geotagged images readily shared on the Internet, alongside developments in computer vision and deep learning, are opening up new opportunities to quantify aspects of the visual environment that were previously hard to measure.
YOU MAY ALSO LIKE:
- Keynote: What can Deep Learning Reveal About Beautiful Places? (SkillsCast recorded in July 2018)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- Leonardo De Marchi's Deep Learning Fundamentals (in London on 22nd - 23rd October 2019)
- Scala eXchange London 2019 (in London on 12th - 13th December 2019)
- Keynote by Luca Mezzalira on Demystifying Micro-Frontends (in London on 23rd September 2019)
- Apache Druid: the fast, real-time, open source analytics data store (in London on 23rd September 2019)
- Revving up with Reinforcement Learning (SkillsCast recorded in September 2019)
- The importance of Data Visualisation (SkillsCast recorded in September 2019)
Thanks to our sponsors
Using ML to Understand the Link Between Scenic Beauty and Wellbeing
Chanuki Illushka Seresinhe
Chanuki Illushka Seresinhe is a data science researcher at the Alan Turing Institute. She also works as a senior data scientist at Channel 4. Chanuki's research entails using big online datasets and deep learning to understand how the aesthetics of the environment influences human wellbeing. Her research has been featured in the press worldwide including The Economist, Wired, The Times, BBC, Spiegel Online, The Guardian, The Telegraph and Scientific American. She received her PhD from the Data Science Lab, Warwick Business School, University of Warwick. Previously, she ran her own digital design consultancy advising clients on presenting their businesses successfully online.