ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

STAIRS 2016 - European Starting AI Researcher Symposium

Date2016-08-26 - 2016-09-01

Deadline2016-05-16

VenueHague, Netherlands, The Netherlands, The

Keywords

Websitehttps://www.ecai2016.org

Topics/Call fo Papers

STAIRS is an international meeting intended to support AI researchers, from all countries, at the beginning of their career: PhD students or people holding a PhD for less than one year. STAIRS 2016 will be co-located with ECAI 2016, the European Conference on AI, in The Hague, Holland, 26 Aug ? 2 Sept 2016.
STAIRS offers doctoral students and young post-doctoral AI researchers:
a first experience of submitting and presenting a paper in an international forum with a broad scope and a peer review process
an opportunity to discuss and explore their research interests and European career objectives and opportunities.
Co-located with both ECAI and PAIS, the symposium provides a unique and valuable opportunity for young researchers to gain experience at presenting their work in a supportive scientific environment, and obtain constructive feedback on the technical content of the work as well as how to present the work and other related topics. Specifically, the objectives are:
(1) to provide a setting for mutual feedback on participants’ current research;
(2) to provide guidance on future research directions;
(3) to develop a supportive community of scholars and a spirit of collaborative research;
(4) to support a new generation of researchers with information and advice on academic, research, industrial, and non-traditional career paths;
(5) to contribute to the conference goals through interaction with other researchers and participation in ECAI/PAIS/STAIRS conference events.
Topics of Interest
Papers are welcome on all aspects of contemporary AI, including, but not restricted to:
Applications of AI
Autonomous Agents & Multi-agent Systems
Case-Based Reasoning
Cognitive Modelling & Cognitive Architectures
Computational Creativity
Constraints, Satisfiability, and Search
Information Retrieval & Natural Language Processing
Knowledge Representation, Reasoning, and Logic
Machine Learning & Data Mining
Model-Based Reasoning
Natural Language Processing
Planning and Scheduling,
Robotics, Perception, Vision and Sensing
Social Intelligence and Socio-Cognitive Systems
Uncertainty in AI
Web and Knowledge-based Information Systems
Multidisciplinary Topics

Last modified: 2016-01-26 23:09:10