Registration - Accommodation
The Fifteenth International Conference on
Research Challenges in Information Science
11 - 14 May, 2021
Due to the COVID-19 global pandemic, RCIS 2021 will be held online. The Organizers would like to thank you for your commitment and support and reassure that they are dedicated in offering the best possible online experience to attendees.
The conference proceedings can be downloaded free of charge for a limited time period
(Until June 03) by clicking the link below.
Download the proceedings via SpringerLink
RCIS aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination. RCIS 2021 will continue paying attention to traditional topics at the conference; in addition, we solicit submissions aligned with the special theme “Information Science and global crisis". Global crisis, as the pandemic we are experiencing in these days, natural disasters, wars and international political crisis, are challenging Information Science to help building effective management solutions, to learn from previous experience how to prevent them, and to support Humans keep on performing core activities, as education, and communication. The diversity of crises’ causes, the quality of the collected data as well as the complexity of the underlying mechanisms are among the relevant research challenges.
RCIS welcomes submissions from the whole spectrum of the information science field. The list of themes and topics includes, but is not limited to:
|A1. Information Systems and their Engineering||A2. User-Oriented Approaches|
|A3. Data and Information Management||A4. Business Process Management|
|A5. Domain-specific IS Engineering||A6. Data Science|
|A7. Information Infrastructures||A8. Reflective Research and Practice|
Domain Knowledge Engineering
A selection of the best accepted papers of RCIS 2021, chosen by a dedicated committee, will be invited to submit an extended version of the RCIS paper to the Data & Knowledge Engineering (DKE) journal published by Elsevier (https://www.journals.elsevier.com/data-and-knowledge-engineering). The selection of the papers to invite will be based on the review scores and arguments and the potential for extension.