Dr. Laura Koesten is a Research Fellow at King’s College London in the Distributed Artificial Intelligence group. Previously she held a Marie Curie Skłodowska fellowship at the Open Data Institute and the University of Southampton in the UK. Her PhD gave a user centric perspective on the discovery of structured data. In her research she is looking at ways to improve Human Data Interaction by studying sensemaking with data, data reuse and collaboration in data science. She has a background in Human Factors and co-organized two international DATA:SEARCH workshops.
Elena Simperl, Professor of Computer Science at King’s College London in the Distributed Artificial Intelligence group. She has contributed to more than 20 research projects, often as principal investigator or project lead. Her research interests include: publishing and managing data, socio-technical methods to create and curate knowledge at scale, social computing, human data interaction, transparency and accountability of crowdsourced training data for AI application, amongst others. She authored more than 100 papers in semantic technologies, linked data, social computing and crowdsourcing and was programme/general chair of the European and International Semantic Web Conference and of the European Data Forum.
Dr. Jonathan Gray is Lecturer in Critical Infrastructure Studies at the Department of Digital Humanities, King’s College London, where he is currently writing a book on data worlds. His current research focuses on the politics and social life of public data. He is also Cofounder of the Public Data Lab; and Research Associate at the Digital Methods Initiative (University of Amsterdam) and the médialab (Sciences Po, Paris). More about his work can be found at jonathangray.org and @jwyg on Twitter.
Nick Holliman, Professor of Visualization at Newcastle University, researches the science and engineering of data visualization, investigating how big data and the results of big data analytics can be presented to people effectively by exploiting the power of cloud computing. This requires an understanding of human perception and cognition, methods for data representation and analysis, and the interactive media interface between the two that helps create knowledge and insight. He teaches how to effectively use visualization and BI (business intelligence) tools for storytelling with data.
Elisavet Koutsiana, is a mathematician who has been working in the field of Data Science and Informatics for the past three years. She recently joined the Distributed Artificial Intelligence group at King’s Collage London, as an Early Stage Researcher in the CLEOPATRA (Cross-lingual Event-centric Open Analytics Research Academy) project, a Marie Skłodowska-Curie Innovative Training Network programme. Her research is about incentives design for hybrid multilingual information processing and analytics.