EAI DIONE 2023 will be held as an on-site conference and if needed, Accepted Authors who are unable to attend the event in person will be given an option to present remotely.
COVID-19 has had a great impact on the social, economic, and scientific spheres. The problems that the pandemic has generated in these scenarios have led to the study of new ways of improving communication and dissemination of sensitive content, such as post-truth and infodemic on social networks.
Information scientists are challenged to find solutions regarding the economic dimension of science and technology, open access studies, access metrics on the web, and new information formats. On the other hand, we also have a significant aggregate of information that seeks to solve the economic part of the scientific and technological context, applying studies on open access content, access metrics to scientific content, web and new information formats in the network, and the relationship between science and society.
In this general scenario, everything is mediated by an informative context of web content, by which the mining of scientific, technical, and business data is required for further interpretation. This requires general skills and knowledge of relevant technologies, such as data science, data curation, and research data management techniques.
For that reason the fourth edition of DIONE 2023 is taking place, an event that was born in response to the growing interaction between information sciences, communication sciences, and computer sciences. DIONE 2023 aims to bring together researchers and professionals from academia and industry to present theoretical proposals and practical solutions in the treatment, processing, and study of data and information produced in online environments, the latest trends in the analysis of network information, social media metrics, data processing technologies, and open science. In DIONE 2023 an interdisciplinary space is provided to improve cooperation between data science, data engineering, big data, research evaluation, network science, open science, scientometrics, sociology of science and citizen science, disinformation, among others. This edition will take place in Nanchang, China.
Welcome to the EAI Community
Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:
- Get more visibility for your paper and receive a fair review with Community Review,
- Earn credits regardless of your paper’s acceptance and increase your EAI Index for new membership ranks and global recognition,
- Find out if your research resonates – get real-time evaluation of your presentation on-site via EAI Compass.
We welcome contributions from the following fields:
- Use and analysis of network information:
- Fake news
- cryptography and blockchain
- Evaluation of science in social networking environment:
- Open science
- Scholarly communication
- Social network analysis
- Science, technology, innovation, and data processing
- Big data
- Data curation
- Data Science
- Data Engineering
- Research data management
- Deep learning
- Machine learning
- ChatGPT and AI model
- Internet of Things and Distributed Computing
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MathSciNet, Inspec and Zentralblatt MATH.
Additional publication opportunities:
- EAI Transactions series (Open Access)
- EAI/Springer Innovations in Communications and Computing Book Series
(titles in this series are indexed in Ei Compendex, Web of Science & Scopus)
- Regular papers should be up to 12-15+ pages in length.
- Short papers should be 6-11 pages in length.
All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.