Dr Kevin Feeney is a senior research fellow in the School of Computer Science and Statistics, Trinity College Dublin, the Information Technology Editor of Seshat Global History Databank, and leader of the €4 million pan-European ALIGNED research project.
Kevin has more than 20 years of experience in developing innovative socio-technical systems in both research and industry, spanning everything from dot-com start-ups to multi-nationals such as IBM and National Australian Banks. In previous lives he invented the distribution of prepaid mobile phone credit through credit card networks and terminals, developed one of the first citizen journalism plaforms to power the Indymedia network, and accumulated a wealth of media experience along the way - having worked as a columnist, commentator, videographer, photographer, video-editor, script-writer, sub-editor, graphic designer and political agitator along the way.
His research focuses on developing technological systems which allow human organisations to turn data into actionable knowledge. His initial training was as a classical archaeologist before switching to computer science, receiving his B.A. in 1998 and PhD in 2009, both at Trinity College Dublin. He has published over 50 peer-reviewed papers in leading high-impact international journals and conferences such as IEEE Internet Computing, Elsevier's Computer Networks and the Semantic Web Journal. His hobby is using systems models to understand social processes, and he is a passionate believer in the power of science to elevate human reason and foster large-scale cooperation. He has visited almost 100 countries in search of a broad cultural understanding and cute animals.
Dr. Gavin Mendel-Gleason is a researcher in Computer Science at Trinity College Dublin. He has worked in big-data application development and research for over 15 years. He worked as a software engineer, providing statistical analytics on terabytes of data from the Collider Detector at Fermilab. While employed at MDLi, he was responsible for software involved in planning, scheduling and analysis, as well as robotic control for combinatorial chemistry for the Afferent product. At Aeroglyph Inc, he was lead developer for the implementation of a triple store database. As lead developer at Cognotent Ltd, he worked on clustering based on linguistic similarity.
After obtaining his PhD in Computer Science with a dissertation on type theory and program transformation techniques, he was employed at Dublin City University researching techniques for clustering of text documents using machine learning. He is currently developing graph databases with sophisticated logic and constraint systems for the Dacura system.
Dr. Bojan Božić is a researcher in computer science at Trinity College Dublin and has worked on Semantic Web technologies for 6 years. He was a software engineer in Speech Recognition at Philips Speech Recognition Systems, was a Scientist at the Austrian Institute of Technology and a Lecturer at the University of Applied Sciences Burgenland and University of Vienna. At AIT's Safety and Security department, he worked in leading roles in European research projects such as SANY (Sensor Web Enablement), TaToo (Tagging Tools for Semantic Discovery), Europeana Creative (Cultural Inheritage), PELAGIOS (Linked Data), and C2-SENSE (Sensor Web and Interoperability).
At Trinity College he works on the ALIGNED project, modelling data and software engineering processes through ontologies and annotations for the Dacura platform. His current research field is Ontology Development, Reasoning, and Machine Learning.
Odhran Gavin is a research assistant and developer on the Dacura project. After initially training as a historian, he followed a lifelong passion for making computers do things, and graduated with an M.Sc. from Trinity College Dublin in 2012. Since then, he has been working on Dacura, assisting with the development of tools to help Seshat researchers effectively gather data.
A large number of people and organisations have facilitated, enabled, and supported the Dacura research program. These include: