109 urn:lsid:arphahub.com:pub:3dc5f44e-8666-58db-bc76-a455210e8891 JUCS - Journal of Universal Computer Science jucs 0948-695X 0948-6968 Journal of Universal Computer Science 10.3897/jucs.112577 112577 Editorial Topic H - Information Systems Topic I - Computing Methodologies Topic L - Science and Technology of Learning Traceable Use of Emerging Technologies in Smart Systems Luther Wolfram wolfram.luther@gmail.com https://orcid.org/0000-0002-1245-7628 1 Schiele Gregor https://orcid.org/0000-0003-4266-4828 1 University of Duisburg‐Essen, Duisburg, Germany University of Duisburg‐Essen Duisburg Germany

Corresponding author: Wolfram Luther (wolfram.luther@gmail.com).

Academic editor:

2023 28 11 2023 29 11 1250 1253 A8F49A4D-622A-564E-A9AD-0433519C4020 0 11 09 2023 30 09 2023 Wolfram Luther, Gregor Schiele This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.

This volume presents a selection of invited papers from the 3rd Workshop on Collaborative Technologies and Data Science in Smart City Applications (CODASSCA 2022): From Data to Information and Knowledge, held in Yerevan, Armenia, August, 23-25, and further articles from a free call for papers JUCS-CODASSCA-2023 published by Easychair. The workshop continues the cooperation between the University of Duisburg‐Essen (UDE) and the American University of Armenia (AUA) funded by the German Academic Exchange Service (DAAD) and the German Research Foundation (DFG). The workshop took place together with a one-week summer school on the topic Enhancements of Deep Learning for Intelligent Applications and the Connected Society.