[agents] CFP 10th International Workshop on Collaborative Agents Research & Development (CARE)

[Fernando Koch]

We extended the deadline by 1 week.. new paper submission deadline Mar 4th.
Please, consider submitting and participating; highlighted are the great Keynote Speakers we have aligned :-)


CALL FOR PAPERS
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: Mar 4 (** EXTENDED **)
Notification of acceptance: Mar 17
Camera-ready: Mar 31
Workshop: May 13-14

** KEYNOTE SPEAKERS

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.

Prof. Dr. Peter Sarlin(**), "Learnings from 100 AI projects: Implications for healthcare"

The past few years have been dominated by the hyped possibilities of AI. Implications of AI are oftentimes vindicated by highlighting promising research with a promise of real-world value and a wide range of application areas that could be transformed. In today's discussion, a common trait is to focus on one or the other, but rarely on their combination. This talk summarizes learnings from 100 AI projects in terms of technological challenges and practical bottlenecks, as well as technology-enabled opportunities, to find the largest opportunities for value creation. This allows us also to mirror the current state of AI into application areas and specific opportunities in healthcare, as well as examples of ongoing transformative AI initiatives.


(*) Vice President, Global Head of AI, Tieto, Sweden; nominated a Top-100 AI Leaders in Drug Discovery and Advanced Healthcare, by Deep Knowledge Analytics (https://www.linkedin.com/in/guttmann/)
(**) Executive Chairman and Chief Scientist of Silo.AI, Professor of Practice at Hanken School of Economics (https://www.linkedin.com/in/psarlin/)


** 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=care2019

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