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)
- Elasticsearch for Developers with Itamar Syn-Hershko (in London on 23rd - 25th September 2019)
- Real-time Systems with Spark Streaming and Kafka (in London on 30th September - 1st October 2019)
- ProgNET London 2019 (in London on 11th - 13th September 2019)
- CloudNative London 2019 (in London on 25th - 27th September 2019)
- Transforming Customer Experience with Big Data (in London on 18th July 2019)
- London Reinforcement Learning July (in London on 18th July 2019)
- A Machine That Predicts the Global Economy in Real-Time (SkillsCast recorded in July 2019)
- A Front-end Dev's Hobbyist Approach Into Machine Learning (SkillsCast recorded in July 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.