My research is in socio-technical systems that seamlessly combine artificial, human, and collective intelligence. I’m interested in emergent and augmented intelligence as we experience it often on open, decentralised digital platforms, like on social networks, in online communities, or in human computation. I devise mechanisms and tools to describe and predict the qualities of technical artifacts within such systems, and the links to the social environment in which they were created. More recently I’ve worked on these topics in the context of smart cities (building human-in-the-loop smart transporta infrastructures), citizen science (understanding motivations, incentives, and behaviours of volunteers), knowledge communities (developing methods to assess the quality of knowledge graphs as a function of their social fabric).
The platforms I build or study are all digital, so many of the methods I work with use digital traces of such platforms as a means to understand behaviour, design interventions, and suggest areas of improvement.
I believe data has a tremendous innovation potential and an open approach to sharing and using it can help people and organisations collaborate and make decisions more effectively. I work together with industry and government from the UK and Europe to develop open innovation programmes, incubators and accelerators that use public and private data to create added value in an economic, social and environmental sense. I am also doing research in human data interaction to understand how people engage with data and design better tools to find and make sense of data online. Most recently, this line of research has taken me into arts-inspired approaches to data and technology engagement, as in the European programme MediaFutures.