-------- Forwarded Message -------- Subject: [computational.science] CFP 10th International Workshop on Collaborative Agents Research & Development (CARE) -- CARE for Smarter Health, AAMAS, Montreal, CA Date: Tue, 5 Feb 2019 10:58:08 -0500 From: Fernando Koch via computational.science computational.science@lists.iccsa.org Reply-To: Fernando Koch fernandokoch@me.com To: latincolleagues@mailman.ufsc.br, agents@cs.umbc.edu, Mycolleagues@mailman.ufsc.br mycolleagues@mailman.ufsc.br, Sbc-l@sbc.org.br, Vki-list@dfki.de, bull-i3@irit.fr, iadsma@utbm.fr, irma-list@irma-international.org, computational.science@lists.iccsa.org, authors@mailman.ufsc.br
Please, consider submitting a contribution to CARE @ AAMAS 2019.
The 10th International Workshop on Collaborative Agents Research & Development (CARE) -- CARE for Smarter Health (CARE 2019). In conjunction with AAMAS 2019, 13-14 May, Montreal, Canada
http://www.care-workshops.org/care2019
** IMPORTANT DATES
Paper submission: Feb 25 Notification of acceptance: Mar 17 Camera-ready: Mar 31 Workshop: May 13-14
** KEYNOTE SPEAKER
Prof. Dr. Christian Guttmann(*), "How Multi-Agent Systems and AI is a driving transformation force in Health Care"
Artificial Intelligence offers substantial benefits to how we deliver health care and medicine. AI is becoming increasingly accurate and effective in performing a broad range of complex health care related tasks (e.g. recognizing a malignant tumour on MRIs, and coordinating care). Such AI driven performance can then be scaled up, improve health outcomes and save many lives. As a result, AI helps clinicians, patients and many health stakeholders to make faster, better, and cheaper decisions, at scale. This presentation provides an overview of the state of the art in how AI and MAS are shaping the health care journey forward.
(*) Vice President, Global Head of AI, Tieto, Sweden; has been recently named a Top 100 AI Leaders in Drug Discovery and Advanced Healthcare, by Deep Knowledge Analytics (https://www.ai-pharma.dka.global/ai-leaders)
** SUMMARY
"CARE for Smarter Health" aims to discuss computational models, social computing, decision support systems, and agent-based technology, both theoretical models as well as research applied to practical solutions related to Healthcare and Medicine, including (non-exhaustive list):Personalized Healthcare. Topics of interest include (non-exhaustive list):
- Personalised Healthcare - Ethical Issues of AI and Health - Distributed Healthcare Systems - Social Computing in Healthcare - Decision support systems in Healthcare - Care for Chronic Conditions with AI Support - Deep Learning in Medicine - Medical Expert Systems - Care Team Coordination and Collaboration - Medical Robotics, Drones, Surgery, Prosthetics - Chatbots in Healthcare - Social Media Analysis for Epidemiology
The CARE workshop series promotes the research agenda around topics relevant to the future of the society aiming at novel technologies, translate research into industry, support new business and create new industries. The discussion will address questions such as: How to create and combine currently scientific paradigms and disruptive technologies that enable the next generation of solutions for challenging scenarios in health and socially-centred applications? How can we create computational models, representations, algorithms and protocols to enable the next generation of intelligent collaborative technologies? And finally, how to translate these advanced researches into industry solutions?
The half-day event will feature a mixture of invited talks, discussions and submitted contributions describing current work or work in progress in AI, agent and machine learning research and technology.
We conclude with a panel discussion around a proposed research agenda to advance the field of collaborative technology and healthcare, to foment the development of new technologies, support new business structures, and shape the academia-industry relationship.
** SUBMISSION AND PUBLICATION
Submission is done electronically through Easychair. They should be formatted according to LNCS specification and submitted as a PDF file. https://easychair.org/conferences/?conf=care-2019
We seek three types of submissions: - Full paper of 8-12 pages. - Short paper of 4 pages, such as position and early result papers. - Demo paper of 4 pages describing a demonstration.
Submissions will be peer-reviewed by, at least, three reviewers per paper. Selection criteria will include relevance, significance, impact, originality, technical soundness, and quality of presentation. Some preference may also be given to papers which address emergent trends or important common themes, or which enhance balance of workshop topics. We plan to publish selected papers through Springer, possibly as Communications in Computer and Information Science (CCIS).
** ORGANISATION COMMITTEE
Dr. Fernando Koch, IBM Global Services, USA Dr. Andrew Koster, IIIA-CSIC & Universitat Autonoma de Barcelona, Spain Prof. Dr. Christian Guttmann, University of New South Wales, Australia & Karolinska Institute & Nordic AI Institute & Tieto, Sweden
** TECHNICAL PROGRAM COMMITTEE
Alessio Bottrighi, Dipartimento di Informatica, Università del Piemonte Orientale, Italy Andrew Koster, IIIA-CSIC, Autonomous University of Barcelona, Spain Apostolos Gotsias, University of the Aegean, Greece Atsushi Yoshikawa, Tokyo Institute of Technology, Japan Beatriz López, University of Girona, Italy Christian Guttmann, Nordic AI Institute, Karolinska Institute, TIETO, Sweeden Clare Martin, Oxford Brookes University, UK Dongwen Wang, Arizona State University, USA Fernando Koch, IBM Global Services, USA Fumihiro Sakahira, KOZO KEIKAKU ENGINEERING Inc., Japan Hugo Paredes, INESC TEC and UTAD, Portugal Ingo J. Timm, University of Trier, Germany Isabelle Bichindaritz, State University of New York at Oswego, USA Jianqi An, China University of Geosciences, China Jinhua She, Tokyo University of Technology, Japan Klaus-Dieter Althoff, DFKI / University of Hildesheim, Germany Luca Anselma, Università di Torino, Italy Luigi Portinale, Universita' del Piemonte Orientale "A. Avogadro", Italy Manfred Reichert, University of Ulm, Germany Masanori Fujita, Tokyo Institute of Technology, Japan Michael Ignaz Schumacher, University of Applied Sciences Western Switzerland (HES-SO), Switzerland Michel Dojat, INSERM, France Néstor Darío Duque Méndez, Universidad Nacional de Colombia, Colombia Nirmalie Wiratunga, The Robert Gordon University, UK Petra Perner, Institute of Computer Vision and Applied Computer Sciences, Germany Rainer Schmidt, University of Rostock, Germany Sadiq Sani, Robert Gordon University Aberdeen, UK Sara Montagna, Università di Bologna, Italy Satoshi Takahashi, Tokyo University of Science, Japan Shihan Wang, University of Amsterdam, Netherlands Tiago Primo, Federal University of Pelotas, Brazil Tilman Dingler, The University of Melbourne, Australia Vassilis Koutkias, Institute of Applied Biosciences, Centre for Research and Technology Hellas, Greece Vinicius Renan de Carvalho, University of São Paulo, Brazil Yeunbae Kim, Institute for Information and Communication Technology Promotion, South Korea
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