The International Conference on Social Informatics (SocInfo16) is an interdisciplinary venue that brings together researchers from the computational and social sciences to help fill the gap between the two communities. The goal of the conference is to provide a forum to help practitioners from the two disciplines define common research objectives and explore methodologies. The organizers welcome a broad range of contributions, from those that apply methods from the social sciences to the study of socio-technical systems, to the application of computational methods to the study of complex social processes and the use of social concepts in the design of information systems.
SocInfo16 offers an opportunity for the dissemination of knowledge between the two communities by soliciting presentations of original research papers and experience-based case studies in computer science, sociology, psychology, political science, anthropology, economics, linguistics, artificial intelligence, social network analysis, and other disciplines that can shed light on the open questions in the growing field of computational social science.
SocInfo16 will also offer workshops and keynote talks that will be tailored to enhance the collaboration between the two research cultures in an era when social interactions are ubiquitous and span offline, online and augmented reality worlds.
Full paper submission: July 20th, 2016
Notification: August 20th, 2016
Camera-ready version: August 31st, 2016
Conference dates: November 14-17, 2016
Research topics of interest include, but are not limited to:
- New theories, methods and objectives in computational social science
- Computational models of social phenomena, including behavior modeling
- Dynamics of social collaborative systems
- Social network analysis and mining
- Mining big social data
- Social influence and social contagions
- Web mining and its social interpretations
- Quantifying offline phenomena through online data
- Rich representations of social ties
- Security, privacy, trust, reputation, and incentive issues
- Opinion mining and social media analytics
- Credibility of online content
- Algorithms and protocols inspired by human societies
- Equity in social and information systems
- Social choice mechanisms in the e-society
- Social applications of the semantic Web
- Social psychology and personality
- Virtual communities (e.g., open-source, multiplayer gaming, etc.)
- Impact of technology on socio-economic, security, defense aspects
- Urban informatics
- Forecasting of social phenomena
- Socio-economic systems and applications
- Collective intelligence and social cognition
Information about Submission
We solicit submission of two types of contribution
- Full papers: should not exceed 14 pages (excluding references and any appendix).
- Short papers: should not exceed 8 pages (excluding references and any appendix)
Submissions will be reviewed through a single-blind review process (names of the authors visible). To ensure a thorough and fair review process, this year’s conference will rely on a two-tier review process and we will enforce strict review guidelines to provide even higher-quality feedback to authors. To further incentivize useful and detailed feedback to authors, contributions of best reviewers will be rewarded with special mentions.
As in previous years, accepted papers will appear in Springer’s Lecture Note Series in Computer Science. We will also allow accepted papers to be presented without publication in the conference proceedings, if the authors choose to do so. Some of the full paper submissions may be accepted as short papers after review by the Program Committee. A small set of particularly high quality and important papers will be selected for journal publication.
Original manuscripts should be submitted in English in pdf format through the EasyChair (https://easychair.org/conferences/?conf=socinfo16
). Because SocInfo will publish proceedings, manuscripts should be formatted according to Springer LNCS paper formatting guidelines (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0