Third International Conference on Digital Data Processing University of Bedfordshire Luton. UK November 27-29, 2023 Hybrid mode- Virtual/Physical www.socio.org.uk/ddp IEEE CPS will publish the proceedings Data grows voluminously and exponentially with heterogeneity and complexity. A single organisation or industry processes over a few million transactions hourly and stores several petabytes of data. We live in a world of tremendous pressure to analyse and process data more efficiently, where Data analytics can reflect hidden patterns, incomprehensible relationships, intrinsic information relations, and segmentation. Data applications have introduced cutting-edge possibilities in every activity in our life. Thus, studying data and its underlying structure, dynamics of data relations, and newer data technologies is a never-ending process. The literature and research on data management are enormous; they do not sufficiently solve the data processing requirements. Currently, the use of technology and interrelations among information pieces generate gargantuan amounts of data. Many studies tend to develop models and systems to analyse voluminous datasets. Analysing the impact of data leads to application domains on decisions that have a systematic influence. Knowledge generated from data analysis can enable the production of critical information for several domains. Hence this conference reviews and discusses the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology. This conference also highlights the current open research directions of data analytics that require further consideration. The proposed conference will discuss topics not limited to Data applications in various domains and activities Data in cloud Real-world data processing Data inaccuracy and reliability issues Data Ecosystem Business Analytics New data analytics techniques Physical and management challenges Privacy and Security Crowdsourcing and Sensing Data modelling Deep learning techniques Data fusion Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics Machine learning Network optimization Data in Biomedical Engineering Data in Materials science and mechanics Data handling and applications in domains Wireless Networking Data Management Data of Electronic & Embedded Systems Multi-media Systems Data Artificial Intelligence Models and Systems Data E-Computing Data Renewable Energies Data Publications The IEEE Xplore will publish the DDP papers. Besides modified versions of the papers will appear in the following journals. 1. Journal on Data Semantics 2. Technologies 3. Data Technologies and Applications 4. Journal of Digital Information Management 5. International Journal of Computational Linguistics 6. Journal of Computational Methods in Sciences and Engineering Important Dates Full Paper Submission: September 10, 2023 Notification of Acceptance/Rejection: October 10, 2023 Registration Due: November 10, 2023 Camera Ready Due: November 10, 2023 Workshops/Tutorials/Demos: November 28, 2023 Main conference: November 27-29, 2023 Post-conference proceedings: December 20, 2023 General Chair Ezendu Ariwa, Chair UK& RI IEEE TEMS, UK Program Chairs Ramiro Smano Robles, Instituto Superior de Engenharia do Porto Rua, Portugal Simon Fong, University of Macau, Macau Program Co-Chairs Ricardo Rodriguez Jorge, Autonomous University of Ciudad Juarez, Mexico – Dion Goh, Nanyang Technological University, Singapore Publicity Chair Hathairat Ketmaneechairat, King Mongkut’s University of Technology, North Bangkok, Thailand Paper Submission: http://socio.org.uk/ddp/paper-submission/ Contact: stm@socio.org.uk