CODASSCA 2022: Workshop on Collaborative Technologies and Data Science in Smart Cities Applications American University of Armenia Yerevan, Armenia, August 23-25, 2022 |
Conference website | https://codassca2022.aua.am/ |
Submission link | https://easychair.org/conferences/?conf=codassca2022 |
Submission deadline | March 15, 2022 |
The society, technologies, and sciences undergo a rapid and revolutionary transformation towards incorporating Artificial Intelligence in every system humans use in everyday life for creating Smart Environments (SmE) through Ambient Intelligence (AmI) in highly interconnected and collaborative scenarios. The main source and asset for making smart systems is data, produced today in extraordinary large quantities thanks to the recent advances in sensors and sensor networks, pervasive and embedded computing enhancing the capability of everyday objects and easing collaboration among people.
Data from all areas of daily life that are increasingly accessible to a broad public enable the conception, creation, validation and calibration of process and system. However, this requires international standards for the quality of and access to the data.
Mobile systems could enhance the possibilities available for designers and practitioners. Effective analysis, quality assessment and utilization of big data is a key factor for success in many business and service domains, including the domain of smart systems. Major industrial domains are on the way to perform this tectonic shift based on Big Data, Artificial Intelligence, Collaborative Technologies, Smart Environments (SmE) supporting Virtual and Mixed Reality Applications, Multimodal Interaction and Reliable Visual and Cognitive Analytics.
However, a number of requirements must be fulfilled and complexities resolved before we can effectively and efficiently turn the huge amount of generated data into information and knowledge. The first one is to ensure data quality, which includes accuracy and integrity of the obtained data, timely delivery, suitable quantity, etc. Privacy and security requirements and thorough end-to-end rights complement realization and deployment of modern design, implementation and evaluation tools. The second one is to develop models, which can turn the data into valuable information and then into knowledge. Two important characteristics are desirable for regression and classification models: accuracy and interpretability. While accuracy deals with the ability of the model to predict a certain outcome, interpretability deals with the ability of the model to explain the reasons for producing a certain outcome. The aim of this workshop it to bring together researchers and practitioners working on theoretical as well as practical aspects of data generation, data processing and knowledge creation, including social issues which arise when using AI-powered systems in collaborative scenarios and smart cities applications.
After two successful versions of the Workshop on Collaborative Technologies and Data Science in Smart City Applications (CODASSCA 2018 and 2020) we are glad to announce that the third version will be held at the American University of Armenia (AUA), August 23-26, 2022 in Yerevan, Armenia. This time we would like to expand the coverage of the workshop program and encourage content submissions from various theoretical and application domains that share their research under an umbrella motto “from data to information and knowledge”, welcoming also active participation from industry on innovative solutions and student/PhD works for wider exposure.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers up to 16 pafws in LNCS format
- Abstracts 2-3 pages in LNCS format
List of Topics
- Collaborative Technologies with Applications in Smart Cities
- Artifical Neural Networks and Deep Learning
- Smart Human Centered Computing
- Data Science and Information Theoretic Approaches for Smart Systems
- Tchnical Challenges for Smart Environments
Committees
Program Committee co chairs
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Tomoo Inoue (Japan),
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José A. Pino (Chile),
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Wolfram Luther (Germany)
Organizing committee
- Aram Hajian (Armenia),
- Nelson Baloian (Armenia, Chile),
- Gregor Schiele (Germany)
Publication
CODASSCA 2022 proceedings will be published by Logos Verlag Germany
Venue
The conference will be held in the American University of Armenia, Yerevan Armenia
Contact
All questions about submissions should be emailed to nbaloian@dcc.uchile.cl, luther@inf-uni-due.de or aharutyunyan@vmware.com