Banissi, ESiirtola, HUrsyn, APires, JDatia, JNazemi, NKovalerchuk, BAndonie, RNakayama, MMabakane, Mabule S2024-04-052024-04-052023-07Banissi, E., Siirtola, H., Ursyn, A., Pires, J., Datia, J., Nazemi, N., Kovalerchuk, B. & Andonie, R. et al. 2023. Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023. http://hdl.handle.net/10204/13655 .979-8-3503-4161-4http://hdl.handle.net/10204/13655This collection of papers on this year's information visualization forum, compiled for the 27th conference on Information Visualization incorporating the following: Artificial Intelligence analytics, machine-, deep-learning, and Learning Analytics - IV2023, advocates that a new conceptual framework will emerge from information-rich disciplines like the Humanities, Psychology, Sociology, Business of everyday activities as well as the science-rich disciplines. To facilitate this, IV2023 provides the opportunity to resonate with many international and collaborative research projects, lectures, and panel discussions from distinguished speakers that channel how this new framework conceptually and practically has been realized. This year's theme is enhanced further by AI's impact on all aspects of life and learning analysis of today's multifaceted and data-rich environment. Joining us in this search are some 70-plus researchers who reflect and share a chapter of their thoughts with fellow researchers. The papers collected, peer-reviewed by the international reviewing committee, reflect the vibrant state of information visualization, analytics, applications, and results of researchers, artists, and professionals from more than 25 countries. It has allowed us to address the scope of visualization from a much broader perspective as we step into the age of AI. Each contributor to this conference has added a new view and thoughts that challenge our beliefs and further encourage our adventure of innovation.FulltextenInformation visualizationArtificial Intelligence analyticsDeep learningLearning analyticsConference PresentationBanissi, E., Siirtola, H., Ursyn, A., Pires, J., Datia, J., Nazemi, N., ... Mabakane, M. S. (2023). Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023. http://hdl.handle.net/10204/13655Banissi, E, H Siirtola, A Ursyn, J Pires, J Datia, N Nazemi, B Kovalerchuk, R Andonie, M Nakayama, and Mabule S Mabakane. "Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023." <i>Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023</i> (2023): http://hdl.handle.net/10204/13655Banissi E, Siirtola H, Ursyn A, Pires J, Datia J, Nazemi N, et al, Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023; 2023. http://hdl.handle.net/10204/13655 .TY - Conference Presentation AU - Banissi, E AU - Siirtola, H AU - Ursyn, A AU - Pires, J AU - Datia, J AU - Nazemi, N AU - Kovalerchuk, B AU - Andonie, R AU - Nakayama, M AU - Mabakane, Mabule S AB - This collection of papers on this year's information visualization forum, compiled for the 27th conference on Information Visualization incorporating the following: Artificial Intelligence analytics, machine-, deep-learning, and Learning Analytics - IV2023, advocates that a new conceptual framework will emerge from information-rich disciplines like the Humanities, Psychology, Sociology, Business of everyday activities as well as the science-rich disciplines. To facilitate this, IV2023 provides the opportunity to resonate with many international and collaborative research projects, lectures, and panel discussions from distinguished speakers that channel how this new framework conceptually and practically has been realized. This year's theme is enhanced further by AI's impact on all aspects of life and learning analysis of today's multifaceted and data-rich environment. Joining us in this search are some 70-plus researchers who reflect and share a chapter of their thoughts with fellow researchers. The papers collected, peer-reviewed by the international reviewing committee, reflect the vibrant state of information visualization, analytics, applications, and results of researchers, artists, and professionals from more than 25 countries. It has allowed us to address the scope of visualization from a much broader perspective as we step into the age of AI. Each contributor to this conference has added a new view and thoughts that challenge our beliefs and further encourage our adventure of innovation. DA - 2023-07 DB - ResearchSpace DP - CSIR J1 - Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023 KW - Information visualization KW - Artificial Intelligence analytics KW - Deep learning KW - Learning analytics LK - https://researchspace.csir.co.za PY - 2023 SM - 979-8-3503-4161-4 T1 - Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023 TI - Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023 UR - http://hdl.handle.net/10204/13655 ER -27690