Dr Mimie Liotsiou is a research associate at the Oxford Internet Institute. Her research focus is on developing and using computational, data science, and machine learning methods for isolating and measuring causal effects, and for producing accurate predictions using real-world data of online human behaviour and interactions.
Her research interests relate to the areas of online social influence, causal inference, social network analysis, computational social science, and data science.
- Social influence
- Causal inference
- Artificial Intelligence
- Data Science
- Big Data
Dr Liotsiou has given interviews to leading print, broadcast, and digital media (e.g. MSNBC, Washington Post, Yahoo Finance, TechCrunch, Ars Technica).
Her research at Oxford has been covered by top-tier national media outlets and technology media outlets, such as The Washington Post and The New York Times (on the front page), The Guardian, the BBC, the Independent, PBS, and CNBC.