What drives it and how do you measure it? We teamed up with the Royal Society to explore how artificial intelligence and machine learning could help us predict, monitor and increase our happiness and wellbeing.

From Bhutan's gross national happiness index to new year's resolutions, we are all fascinated with ways to get happier, but is technology getting us any closer? In collaboration with the Royal Society - please join us on 17th January to see the conclusion of 28 hours work on hacking happiness and exploring how machine learning can be used to measure, understand, predict and increase happiness. In this multidisciplinary hackathon, professionals from different disciplines, including machine learning, data science, design and software engineering will come together and develop innovative solutions addressing happiness. We will see ideas that address ways in which new machine learning systems can work together with people in a broad variety of topics such as conversational assistants, interactive AI, active learning, human-agent collaboration, crowd-sourcing or citizen science. We will be looking not just at "pure" machine learning hacks but also those that combine existing techniques with novel interactions with people.

From Bhutan's gross national happiness index to new year's resolutions, we are all fascinated with ways to get happier, but is technology getting us any closer? In collaboration with the Royal Society – please join us on January 16th-17th for 28 hours of hacking happiness and explore how machine learning can be used to measure, understand, predict and increase happiness. In this multidisciplinary hackathon, we hope to attract professionals from different disciplines, including machine learning, data science, design and software engineering to come together and develop innovative solutions addressing happiness. We are especially interested in ideas that emphasise human-AI collaboration. We would be interested to see ideas that address ways in which new machine learning systems can work together with people in a broad variety of topics such as conversational assistants, interactive AI, active learning, human-agent collaboration, crowd-sourcing or citizen science.

From Bhutan's gross national happiness index to new year's resolutions, we are all fascinated with ways to get happier, but is technology getting us any closer? In collaboration with the Royal Society – please join us on January 16th-17th for 28 hours of hacking happiness and explore how machine learning can be used to measure, understand, predict and increase happiness. In this multidisciplinary hackathon, we hope to attract professionals from different disciplines, including machine learning, data science, design and software engineering to come together and develop innovative solutions addressing happiness. We are especially interested in ideas that emphasise human-AI collaboration. We would be interested to see ideas that address ways in which new machine learning systems can work together with people in a broad variety of topics such as conversational assistants, interactive AI, active learning, human-agent collaboration, crowd-sourcing or citizen science.