Dr. Marc Smith
Dr. Marc Smith is Chief Social Scientist for the Connected Action Consulting Group, a purveyor of fine quality social media analysis platforms and services based in the USA.
Smith is a sociologist researching the structure of internet social media. He was formerly senior research sociologist at Microsoft Research specializing in the social organization of online communities and computer mediated interaction. He founded the Community Technologies Group at MSR. He also contributed to the release of the Telligent Analytics 3.0 social media reporting product, adding social network analysis features.
He is the co-editor of Communities in Cyberspace (Routledge), a collection of essays exploring the ways identity; interaction and social order develop in online groups. Smith's research focuses on computer-mediated collective action: the ways group dynamics change when they take place in and through social cyberspaces. Many “groups” in cyberspace produce public goods and organize themselves in the form of a commons (for related papers see: http://www.connectedaction.net).
Smith is applying this work to develop open tools for generalized community and social network analysis that will provide a free or web based system for groups of all sizes to collect and analyze their discussions and social media collections. The NodeXL project is an example: a free and open social network analysis extension to Excel 2007 at http://nodexl.codeplex.com
Dr. Gohar F. Khan
Dr. Gohar Khan is a computational social scientist with expertise in social media analytics, social network analysis, network data visualization, social media strategy, and network science. Currently, he is a senior lecturer of digital business at the University of Waikato where he researches the link between social media use and firm's competitive advantage and how businesses create value with social media data.
Khan specializes in both quantitative and qualitative research methods and has published over 50 articles in peer-reviewed journals, conference proceedings, and book chapters. His research, for example, has appeared in several A* journals including Journal of Association for Information Systems, Journal of the American Society for Information Science and Technology, and Scientometrics, among others. Khan has also authored and co-author 4 books on social media analytics and social media use. He is author of the Amazon’s top-selling book titled, "Seven Layers of Social Media Analytics" which provides one of the first comprehensive framework to understand and mine business insights from social media data. His other recent books include Digital Analytics for Marketing and Creating Value with Social Media Analytics.
In addition to his research and teaching, Khan actively engaged with academic and professional bodies. For instance, he has served as track co-chair for The Pacific Asia Conference on Information Systems (PACIS 2016) Track: Social Media Analytics; and PACIS 2018 Track: Social Media Analytics & Business Impact. He was also a PC member for PCIS 2017, the Australasian Conference on Information Systems (ACIS, 2017), and International Conference on Information Systems (ICIS 2016). On several occasions, Khan has also served as a social media consultant for United Nations APC-ICT. He also frequently speaks at international conferences and has given in invited talks in different locations including in South Korea, China, Indonesia, and Bhutan.
Dr. Artem Lenskiy
Dr Artem Lenskiy is experienced academic with expertise in computer science and applied mathematics including probability theory, machine learning, and time-series analysis. For the past 8 years Art has been with Koreatech, prior that completing his PhD in Electrical Engineering at the University of Ulsan, Korea. Dr Lenskiy has supervised numerous master and doctoral candidates. His lab conducts research in a wide spectrum of areas including probabilistic methods in recommender systems, long-memory processes and their applications in finance and human physiology. In the past he was involved in the development of computer vision systems for military unmanned ground vehicles, as well as he participated in the autonomous vehicle competitions organized by Hyundai Motor. He and his lab successfully developed methods for analyzing physiological signals and pioneered the area of analyzing inter-blink interval dynamics. Art participated and led numerous workshops, summits and conferences, giving talks on blockchain related topics, education, and data analysis. Art finds his inspiration in working with people who seek knowledge and are ready to take opportunities in learning and self-development.