Dr Timothy Cribbin, Department of Computer Science, Brunel University London (Project lead and main programmer)
Timothy was responsible for writing and maintaining the code base for Tweetcatcher Desktop (TCD) and Tweetvis (TV) and is currently managing the Chorus project. This work was initially driven and supported by the FoodRisc (EU F7) and MATCH (EPSRC) projects. He has been a full-time lecturer at Brunel since 2001 and has research interests in visual analytics, information visualisation, text mining and interactive document search.
Professor Julie Barnett, Department of Psychology, University of Bath
Julie was the primary driving force behind the conception of Chorus, who highlighted the need for accessible tools to support social media based social research and defining requirements that helped to shape the Chorus feature set. She is social psychologist with particular interest and expertise in risk appreciation, risk communication, the development of health technologies, the maintenance and change of behaviour, public engagement processes and policy development.
Dr Phillip Brooker, Department of Sociology, Social Policy and Criminology, University of Liverpool
Phillip has played a crucial role in the development, evaluation and evolution of the Chorus toolset and has also taken responsibility for the design and execution of several field/case studies, not (least) to mention extensive and thorough testing of pre-release software and specification of new requirements. He is the first author of the seminal Chorus article: “Doing Social Media Analytics” and also the SAGE Research Methods Case: “User-driven data capture: Locating and analysing Twitter conversation about cystic fibrosis without keywords” and has presented, taught and blogged extensively about Chorus (see this for e.g.) about Chorus at various venues over recent years.
Mr Hiran Basnayake, Department of Computer Science, Brunel University (Web Developer; Lead Programmer: TweetCatcher Web)
Hiran was employed on the MATCH project and was the programmer of the original server-based Tweetcatcher application. This web-based resource was the primary data collection resource during the early development stages of Tweetvis.