The International Conference on Social Informatics

As information technology became ubiquitous, it did not take long for practically minded ICT specialists to realize the technology’s potential for supporting and enhancing our social activities. Today, it is a truism to say that information technology has a social dimension and a social impact – it is enough to consider such applications as Facebook, LinkedIn, or Wikipedia. Proponents of the social applications of ICT will go further and claim that information technology is reshaping the way we are doing business, work, learn, play, and make friends or enemies. They will say that, for example, the Wikipedia has a potential to completely change our economy (following Don Tapscott and Anthony Williams, the authors of “Wikinomics”).

Computer science was slower than the social sciences to direct its interests towards the social uses of its products. The concept of Social Informatics was first invented by Rob Kling, who deemed it as an area of study of information and communication tools in cultural, or institutional contexts. However, he was not the only one, as for example ethnographists quickly became interested in the ways ICT influences our culture (consider the studies of YouTube by Michael Wesch). Media science and sociology have been geared up by seminal works of McLuhan and ready to tackle the new media created by ICT, as for example in the work of Manuel Castells. Psychologists quickly became interested in the Internet and computer games. Economists recognized the quickly rising impact of e-commerce and e-business and focused much efforts on their analysis.

For some years now, computer scientists have been increasingly interested in the social dimension of ICT. These interests have taken various forms and followed various paths of development. Tim Berners-Lee has proposed what he has called “Web Science”, as an area of research of the social impact of the Web and of how the Web can benefit from social concepts. In a seminal article in “Science” (February 2009), representatives of the Social Network community have proposed to consider ICT as a rich source of information that should become the basis of “computational social science”. This concept bases on work on projects such as “Reality Mining” at MIT that have indeed gathered enormous amounts of data about human behavior that can be used, for example, to drive social simulation. Theoretical computer scientists have also found inspiration in the social sciences, and have created a new area of study: computational social choice theory. Social computing is also an area of interests in the community of Artificial Intelligence, among Web development professionals, and in other areas of ICT.

What is apparent today is that all of these diverse and fascinating areas of inquiry have one feature in common: they attempt to go beyond the task of merely using ICT as a source of data for social science. The reason for this ambition is that computer science is an inherently practical domain, where practical applications are what matters most at the bottom line. Thus, computer scientists and ICT professionals alike would like to improve the way ICT realizes social goals, supports social processes or applies social concepts. At the same time, ICT technology can become a source of information relevant for social sciences and for analysis of social phenomena (such as political or marketing analysis).

A very succinct way of describing the relationship between the Internet (in particular, the Web) and society today can be giving by paraphrasing Michael Wesch: “the Web is us”. This statement is similar to McLuhan’s famous “the medium is the message”. Computer scientists working in social informatics have been trying to add a corollary to these statements of social scientists: “The Web is us, but we have made the Web.” “The medium is the message, but we have built the medium.” These rephrased statements emphasize an important point: it is in our power to change the Web, the Internet, or any ICT technology. And we should aspire to change in ways that will improve its social applications.

The two perspectives of study: of social sciences that consider the impact of ICT on social behavior, and of social informatics that considers how ICT can be improved to realize social goals, are two sides of one coin. Social informatics can and must base its research on findings from the social sciences. On the other hand, social science can find applications for its theoretical findings for improvements of ICT technology. These applications already have a real business value today, for example, in software for the support and management of virtual teamwork, available from many major ICT technology companies. Using the Internet as a source of information about social phenomena also has a real business value, as many e-marketing companies attempt to base their analyses on Web mining. The conference on Social Informatics (SocInfo) has been launched as an attempt to bring together representatives of computer science and the social sciences, recognizing that Social Informatics is an interdisciplinary domain.

The interdisciplinary makeup of the conference is reflected in the Program Committee that includes both computer scientists and social scientists. All articles submitted for the conference have received reviews from specialists from both domains. Authors of accepted papers also have backgrounds in computer science and the social sciences. This emphasis on balancing the inputs of computer scientists and social scientists is motivated by the desire to make the conference a meeting place between the two disciplines.

SocInfo’2010 and SocInfo’2009 have received a large number of papers concerning social networks. Both the theoretical Social Network Analysis and its practical applications for social recommendation are represented at the conference. Another important subject are social aspects of virtual collaboration, ranging from social studies of Computer Supported Collaborative Work, to the study of enhancements of the Wiki technology. Research on Webmining, opinion mining, and sentiment analysis has also been represented at the conference. Privacy and trust are subjects very relevant to social informatics that are an active area of research. Computational social choice is reflected by papers that consider the distributive and procedural fairness of ICT applications and systems. Last but not least, virtual teamwork is studied by several papers that attempt to recommend the best possible virtual teams or team members for a given task.

Social Informatics is a maturing discipline that already has a unique set of research objectives and methods. Among these objectives, the questions posed by Tim Berners-Lee is a prominent example: can we analyze and anticipate the social properties of Web2.0 applications before their deployment, and can we use this knowledge to improve the design of social Web applications and services? To achieve such goals, Social Informatics must have a deeper understanding of social goals, concepts and mechanisms. For this, Social Informatics must be an interdisciplinary science that draws upon the results of sociology, economics, psychology, anthropology, behavioral game theory, sociobiology and others. The SocInfo conference is an attempt to direct research efforts towards that goal, and to enable the necessary exchange of views, knowledge and research ideas between representatives of computer and social sciences.

Steering Committee 

Professor Adam Wierzbicki, Polish-Japanese Institute of Information Technology

(Steering Commitee Chair)

Adam Wierzbicki

Professor Karl Aberer, EPFL
Professor Hsinchun Chen, University of Arisona
Professor Noshir Contractor, Northwestern University
Professor Anwitaman Datta, NTU Singapore
Professor Ee-Peng Lim, SMU Singapore
Professor Michael Macy, Cornell University
Professor Sue B. Moon, Korea Advanced Institute of Science and Technology
Professor Katsumi Tanaka, Kyoto University
Professor Andreas Ernst
Professor Andreas Flache
Professor Dirk Helbing
Professor Irwin King
Professor Luca Aiello, Yahoo Labs
Professor Daniel Anthony McFarland, University of Stanford