After two successful versions of the Workshop on Collaborative Technologies and Data Science in Smart City Applications (CODASSCA 2018 and CODASSCA 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.

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 as‐ set 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 to be developed and applied.

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  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 be‐ fore we can effectively and efficiently turn the huge amount of generated data into in‐ formation and knowledge. The first one is to ensure data quality, which includes ac‐ curacy and integrity of the obtained data,

timely delivery, suitable quantity, etc. Privacy and security requirements and thorough end‐to‐end rights management 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 sce‐ narios and smart cities applications.