
Collective Intelligence is a transdisciplinary journal devoted to advancing the theoretical and empirical understanding of group performance in diverse systems, from adaptive matter to cellular and neural systems to animal societies to all types of human organizations to hybrid AI-human teams and nanobot swarms.

These comprehensive, readable surveys and tutorial papers give guided tours through the literature and explain topics to those who seek to learn the basics of areas outside their specialties in an accessible way. The carefully planned and presented introductions in Computing Surveys (CSUR) are also an excellent way for researchers and professionals to develop perspectives on, and identify trends in complex technologies. Contributions which bridge existing and emerging technologies (such as machine learning) with a variety of science and engineering domains in a novel and interesting way are also welcomed.
Contributions are intended to be accessible to a broad audience, featuring clear exposition, a lively tutorial style, and pointers to the literature for further study.

Digital Government: Research and Practice (DGOV) is an interdisciplinary Gold Open Access journal that focuses on the potential and impact of technology on governance innovations and its transformation of public institutions. It promotes applied and empirical research from academics, practitioners, designers, and technologists, using political, policy, social, computer, and data sciences methodologies.





JDIQ's mission is to publish high quality articles that make a significant and novel contribution to the field of data and information quality. JDIQ welcomes research contributions on the following areas, but not limited to: Information Quality in the Enterprise Context; Database related technical solutions for Information Quality; Information Quality in the context of Computer Science and Information Technology; Information Curation.
JDIQ accepts research conducted using a wide variety of methods ranging from positivists to interpretive methods, systems building descriptions, and database theory, as well as statistical analysis, mathematical modeling, quasi experimental methods, hermeneutics, action research, and case study. JDIQ accepts diverse research methods that are customary in different research backgrounds and traditions, both quantitative and qualitative. Research papers need to demonstrate the use of a rigorous method or methods. Research papers also need to provide valuable and relevant implications for applying their findings and solutions in practice.



