CONTEXT-17 Home Page


The Tenth International and Interdisciplinary Conference
on Modeling and Using Context

***   Last information concerns the workshop (in programme), the presentations (in outcomes) and the gallery (pictures in outcomes)   ***

Paris, France, 20-23 June 2017

(PDF of the Call for papers)

For twenty years, the CONTEXT conference series has brought together researchers in a wide range of disciplines to present their work related to issues of context and contextual knowledge and to discuss commonalities across and differences between their disciplines' approaches to the study of context. It is unique in focusing on context as a subject of study in its own right, and it has become one of the premier venues for context-related research.

This year is a milestone: CONTEXT'17 is the tenth conference in and the twentieth anniversary of the series. As such, with this conference we renew our focus on providing a truly interdisciplinary venue for context research. As usual, submissions are solicited from a wide range of disciplines, including artificial intelligence, computer science, context-aware applications, ubiquitous computing, cognitive science and psychology, social and organizational sciences, linguistics, philosophy, and various application areas, such as medicine and law. All accepted papers will need to be written in such a way that non-specialists can understand the work, for example, by providing accessible discussions of the disciplinary prerequisites to allow those outside the discipline to understand the work. However, this year we are explicitly soliciting papers that highlight how such work impacts and is related to other disciplines and that are written with a broad interdisciplinary audience in mind.

The technical program will consist of plenary and special-interest paper sessions, keynote speakers, a poster session, and panels.  A doctoral consortium will showcase outstanding student research.  There will also be two days of workshops on many topics of interest.

Important information: