PRO-VE 2024 : [PRO-VE 2024][October 28-30][Albi, France] Navigating Unpredictability: Collaborative Networks in Non-linear Worlds Albi (France)
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Event Date: | October 28, 2024 - October 30, 2024 |
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Abstract Submission Deadline: | April 12, 2024 |
Submission Deadline: | May 10, 2024 |
Notification of Acceptance: | June 21, 2024 |
Camera Ready Version Due: | July 05, 2024 |
Call for Papers |
Dear researchers, Dear colleagues,
IMT Mines Albi, from a captivating city in France, invites you to the 25th IFIP/Socolnet Working Conference on Virtual Enterprises, PRO-VE 2024. This year's conference will be organized by an exceptional team that has previously succeeded in hosting conferences such as I-ESA 2014, PRO-VE 2015, ISCRAM 2017, and ICDSST 2023. PRO-VE 2024 is a forum for sharing and discussing current developments and experiences regarding the role of collaborative networks in managing non-linear Ecosystems and Societies. Contributions are invited from multiple and diverse disciplines such as Engineering, Managerial and Socio-Human sciences: industrial engineering, computer science, manufacturing, organization science, logistics, management, and social sciences, among others. Including specific topics such as "AI and digital transformation for collaborative systems", "Collaborative cognitive cyber-physical systems", "Smartness and adaptability of collaborative logistics and transportation networks", "Resilience, sustainability, and anti-fragility of networked organizations". Important dates: Special session proposal: March 1, 2024 Abstract submission: April 12, 2024 Full paper submission: May 10, 2024 Results notification: June 21, 2024 Camera ready: July 5, 2024 Conference: October 28-30, 2024 Additional information on the website : https://pro-ve-2024.sciencesconf.org/ Get ready for inspiring keynotes, engaging industrial panels, informative sessions, and enjoyable social events! Looking forward to meeting you soon in Albi! |
Credits and Sources |
[1] PRO-VE 2024 : [PRO-VE 2024][October 28-30][Albi, France] Navigating Unpredictability: Collaborative Networks in Non-linear Worlds |