SCOPE

Digital Transformation (DT) is the process of using digital technologies to create new or modify existing processes. This transformation is performed in the context of business and by governments, NGOs, or other organizations. RPA, blockchain, and other technologies are important in this process, but our focus is on Artificial Intelligence (AI). It is essential to analyze not only its impact but also the way how it is managed.
• DT and AI in the national government context
• DT and AI in the local government context
• DT and AI in cultural context
• DT and AI in the social context
• DT and AI in NGO context
• DT and AI for Sustainability
• DT and AI in the learning context
• DT and AI, challenges for Project Management
• DT in the business context and the role of AI
• DT and Network Science

ORGANIZATION COMMITTEE:

• Carlos J. Costa ISEG, Universidade de Lisboa Lisboa, Portugal, (cjcosta@iseg.ulisboa.pt)
• Valentina Timcenko, School of Electrical Engineering, Institute Mihailo Pupin, University of Belgrade, Belgrade, Serbia, (valentina.timcenko@pupin.rs)

PROGRAM COMMITTEE:

• Andreas Karatsolis, Massachusetts Institute of Technology, USA
• Carlos Costa, ISEG, Universidade de Lisboa, Portugal
• Claudio Luis Larieira, EAESP/FGV, Brazil
• Clay Spinuzzi, The University of Texas at Austin, USA
• Concetta Semeraro, University of Sharjah, United Arab Emirates
• Fernando Bento, ISCTE-IUL, Portugal
• Georg Weichhart, PROFACTOR GmbH, Germany
• Hervé Panetto, CRAN, University of Lorraine, CNRS, France
• João Bastos, ISEG, Universidade de Lisboa, Portugal
• Joaquim Reis, ISCTE-IUL, Portugal
• Lazar Berbakov, Institute Mihailo Pupin, University of Belgrade, Serbia
• Manuela Aparicio, NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal
• Marius Branzila, Gheorghe Asachi Technical University of Iasi, Romania
• Martinha Piteira, IPS - ESTSetúbal, Portugal
• Mijail Naranjo, NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portuga
• Milan Zdravković, Faculty of Mechanical Engineering, University of Nis, Serbia
• Nikola Davidovic, Faculty of Electrical Engineering, University of East Sarajevo, Bosnia and Herzegovina
• Reiko Hishiyama, Waseda University, Japan
• Slavica Bostjancic Rakas, Institute Mihailo Pupin, University of Belgrade, Serbia
•Thomas Tiam-lee, De La Salle University, Philippines
• Valentina Timcenko, Institute Mihailo Pupin, University of Belgrade, Serbia
• Vitor Santos, NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal


PAPER PUBLICATIONS

Two types of papers can be submitted:
Full paper: Finished or consolidated R&D works, to be included in one of the Conference themes. These papers are assigned a 10-page limit.
Short paper: Ongoing works with relevant preliminary results, open to discussion. These papers are assigned a 7-page limit.
Submitted papers must comply with the format of Advances in Intelligent Systems and Computing Series (see Instructions for Authors at Springer Website), be written in English, must not have been published before, not be under review for any other conference or publication and not include any information leading to the authors’ identification. Therefore, the authors’ names, affiliations and bibliographic references should not be included in the version for evaluation by the Program Committee. This information should only be included in the camera-ready version, saved in Word or Latex format and also in PDF format. These files must be accompanied by the Consent to Publish form filled out, in a ZIP file, and uploaded at the conference management system.
https://easychair.org/conferences/?conf=worldcistworkshops2023 select the “Workshop WDTAI 2023 - 2nd Workshop on Digital Transformation and Artificial Intelligence”.
Workshops full and short papers will be published in the conference main proceedings in specific Workshop chapters published by Springer in a book of the LNNS series. Proceedings will be submitted for indexation by WoS, SCOPUS, DBLP, Google Scholar, among several other scientific databases. Extended versions of best selected papers will be published in journals indexed by WoS/SCI, SCOPUS and DBLP. Detailed and up-to-date information may be found at WorldCist'23 website: http://worldcist.org/