3rd EAI International Conference on Data and Information in Online Environments

EAI DIONE 2022


Data Mining & Analysis Databases & Information Systems



Scope
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, on 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 third edition of DIONE 2022 is taking place, an event that was born in response to the growing interaction between information sciences, communication sciences, and computer sciences. DIONE 2022 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 2022 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 Florianópolis (SC), Brazil, a city known as the “Magic Island” for its historical folklore and its legends. It is the city with the highest number of startups per inhabitant in Brazil. It is the capital and second-largest city in the state of Santa Catarina. Florianópolis is also known for its beautiful scenery and more than 42 beaches surround the island. The city is in the south of Brazil, where you can see the mountains and the well-preserved Atlantic Forest. Summer in Florianópolis is extremely hot and the city is full of options to spend good times with colleagues, friends, and family. Florianópolis has a great tourist infrastructure and qualified attractions that fascinate tourists from all over the world.
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Publication
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library: DIONE Conference Proceedings.
Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, EI Engineering Index (Compendex and Inspec databases), DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Scopus, Zentralblatt MATH.
Authors of selected papers will be invited to submit an extended version to:
- Mobile Networks and Applications (MONET) Journal (IF: 3.426, CiteScore 5.0)
- Learned Publishing (IF: 2.606)
- Journal of Data and Information Science (Scopus: CiteScore: 1.00)
- EAI Endorsed Transactions on Scalable Information Systems (JCI: 0.21) – indexed in ESCI & Ei Compendex
- TransInformacao (IF 2019: 0.648, CiteScore 2019: 0.6)
- Bibliotecas. Anales de Investigación (Scopus: CiteScore: 0.11, ESCI)
Additional publication opportunities:
- EAI/Springer Innovations in Communications and Computing Book Series
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Topics
Relevant topics include, but are not limited to:
1. Use and analysis of network information:
Misinformation
Fake news
Post-truth
Infodemics
2. Evaluation of science in social networking environment:
Open science
Altmetrics
Scientometrics
Scholarly communication
Social network analysis
3. Science, technology, innovation, and data processing
Big data
Data curation
Data Science
Data Engineering
Research data management
Deep learning
Machine learning
e-Science
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General Chairs
Adilson Luiz Pinto - Federal University of Santa Catarina (UFSC), Brazil
Washington Luís Ribeiro de Carvalho Segundo - Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT), Brazil
Technical Program Committee Chairs
Thiago Magela Rodrigues Dias - Centro Federal de Educação Tecnológica de Minas Gerais, Brazil
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This event is organized by EAI (www.eai.eu).
EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower global research and innovation, and to promote cooperation between European and International ICT communities.