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CADE 2024 : International Conference on AI and the Digital Economy (CADE)

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Link: https://warwick.ac.uk/fac/sci/wmg/news-and-events/events/wmgevents/cade2024/
 
When Jun 24, 2024 - Jun 26, 2024
Where Venice, Italy
Submission Deadline Mar 15, 2024
Notification Due Apr 14, 2024
Final Version Due May 19, 2024
Categories    AI   digital economy   security   privacy
 

Call For Papers

CADE marks the 10th in the series of conferences. We welcome submissions and participation from academics, practitioners, and policy makers. To support discussion and development of ideas and networks, we encourage submissions that consider social science, technical, and policy issues.

Submissions can be extended abstracts (2 pages) or full papers (6 pages). These should be prepared using the IET template and have the following format: Purpose, Theoretical Background (where appropriate), Findings, Discussion, Managerial Implications (if applicable) and Limitations.

This year’s themes are AI in Health, AI in Finance, Digital Public Infrastructure, Smart Mobility, and Sustainability. We are interested in submissions that represent interdisciplinary research spanning various fields. Submissions are encouraged from disciplines such as marketing, human resources, operations and supply chain management, strategy, behavioural sciences, economics, information systems, computer science, and cyber security. We would particularly like to encourage submissions from scholars in the wider community, including anthropologists, sociologists, data scientists and those from design disciplines interested in the digital economy. We do not require empirical work, and welcome abstracts exploring conceptual ideas, and we are actively seeking work in the developmental stages of research.

https://warwick.ac.uk/fac/sci/wmg/news-and-events/events/wmgevents/cade2024/cade2024_call_for_papers.pdf

The conference proceedings will be published by the IET and will be available through the IET Digital Library and IEEE Xplore. The proceedings will be indexed through the major databases Scopus (Elsevier); Web of Science (Clarivate Analytics); ProQuest; NLM (US National Library of Medicine); and CrossRef.

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