Using Deep Learning to Identify Human Behaviour with Flickr Photographs
A mammoth amount of data is being generated by our daily interactions with technological devices and online services. With the improved connectivity, online information has been shifted from being text based to visual media such as as photographs. Offering independent, cheap and rapidly available ways to quantify human behaviour. In my talk, I will focus on using deep learning to analyse photographs shared on Flickr to identify protest outbreaks around the world.
Merve Alanyali is a doctoral researcher at Warwick Business School and academic assistant at The Turing Institute. Her research focuses on analysing large open data sources with concepts from image processing and machine learning to understand and predict human behaviour at a global scale. Her work has been featured by television and press worldwide including coverage in the Financial Times and Bloomberg Business. Alanyali currently holds a Chancellor’s International Scholarship at the University of Warwick. She was awarded a double Masters degree in Complex Systems Science by the University of Warwick, UK and Chalmers University of Technology, Sweden and draws on an interdisciplinary background in computer science, complex systems and behavioural science.