2019 International Conference of Social Computing, Tsinghua University
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2019年社会计算机国际会议
2019.08.26-2019.08.27
【Add】
Shuangqing Road No.30 Tsinghua University
Haidian , Beijing 100872, China
【活动地址】
中国北京市海淀区双清路30号清华大学
【活动时间】
2019年8月26日-2019年8月27日
Application:
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click"Read more" to fill out the applicaiton form OR long press the QR code down below, then click on extract QR code
ABOUT THE SCHOOL OF SOCIAL SCIENCE, TSINGHUA UNIVERSITY
Since the establishment of the Tsinghua School (Xuetang) in 1911, courses in political science and economics were offered. In 1925, the school launched its four-year undergraduate program. The Departments of sociology, political science, economics and educational psychology were among the seventeen first founded departments in 1926. In 1928, the authorities officially changed the name to National Tsinghua University, and established fifteen departments in the School of Liberal Arts, the School of Science and the School of Law. The Department of Sociology was in the School of Liberal Arts; the Department of Psychology was in the School of Science; and the Departments of Political Science and Economics in the School of Law.
The study of social science at Tsinghua University has a long tradition of promoting interaction between Chinese and Western cultures and encouraging interdisciplinary communications between the Arts and the Sciences. Advocating for the application modern science methodologies in exploring political, economic and social phenomena, we learned from studies in foreign countries and followed international academic standards, with an emphasis on understanding current realistic problems in China. Founded on the ultimate goal to support the independent academic development of the nation and the construction of a new China, the school has made significant achievements in nurturing students and research.
Many world-class scholars and social activists taught or studied in Tsinghua’s social science departments, including Fei Xiaotong（Fei Hsiao-Tung）, Chen Daisun, Zhang Xiruo, Pan Guangdan, Qian Duansheng（Ch'ien Tuan-Sheng), Xiao Gongquan, Wang Tieya, Wang Yanan, Chen Da, Zhu Junyi, Wu Qiyuan, Zhao Yuanren（Chao Yuen Ren), Dai Shiguang, Xiao Qu, Wu Jingchao, Li Jinghan, Chen Tiqiang, and Tang Yue. They were pioneers of all Tsinghua faculties and students in social sciences disciplines who contributed to modern political and economical revival and social construction of China.
In 1952, a nationwide restructuring of institutes of higher education began, and Tsinghua University became a multidisciplinary polytechnic university specializing in training engineers. Social science departments in Tsinghua University were shut down and faculties and students in the field left for other universities or institutions. Since 1978, however, Tsinghua University has strengthened its teaching in the sciences, economic management, humanities and law fields. Resuscitating its studies and research in social science disciplines, the Department of Social Science was rebuilt in 1984 and School of Humanities and Social Sciences was rebuilt in 1993, which included the Department of Philosophy and Sociology, Department of Chinese Language and Literature, Department of History, the Institute of Ideology and Culture, the Institute of Science, Technology and Society, the Institute of Economics, the Institute of Education, and the Institute of Art Education. In 1997, the Institute of international studies was set up. In 2000, the Department of Sociology and Department of Political Science were re-established. Finally, in 2008, the Department of Psychology was re-established.
In 2012, the first year after the centenary anniversary of Tsinghua University, the School of Humanities and the School of Social Sciences were founded separately on the basis of the original School of Humanities and Social Sciences. The School of Social Sciences includes the Department of Political Science, Department of International Relations, Department of Sociology, Department of Psychology, Institute of Economics . The School aims to meet the academic frontiers of the world and the strategic demands of our nation, and tries its best to attain new achievements in social sciences at Tsinghua University.
ABOUT THE CENTER FOR SOCIAL NETWORK RESEARCH
The Tsinghua Center for Social Network Research was founded on Jan. 1st 2013. As a Tsinghua University research center, its purpose is to develop a platform for cooperation among physicists, computer scientists, and social, behavioral and epidemiology researchers, so that they can explore a set of interdisciplinary methodological approaches for studying complex social networks in big data.
Big data brings a lot of opportunities and challenges for interdisciplinary research: Various domains of knowledge have developed and accumulated a large body of hypotheses, models and empirical findings on the structure, dynamic processes, and consequences of social networks.
In order to arrive at a consensus we first need to create a methodological framework that takes data mining as its starting point. The object of research is online big data, which has the untapped potential to yield findings about new social phenomena. The next step is interpreting these findings through various qualitative and survey studies, which will further help us reveal grounded truth to verify theoretical hypotheses. The final step is building a model that encompasses the co-evolution of human actions and network structure based on the operative theories. With a model built on this solid foundation, researchers trained with interdisciplinary methods have the required information to predict new facts from their results.
Running in parallel to our research are real-world surveys that often generate new facts that conflict with our interpretation of the results of data mining. In this kind of scenario, we must return to our data and begin an iterative process of data mining, theory development and dynamic model building; until we can reconcile the two sets of results.
The goal of TCSNR is to develop a series of programs for training students with different research backgrounds, and mesh their different areas of expertise into a methodologically and substantively integrated whole. From this interdisciplinary training method we can expect new results and considerable progress in social network research.
ABOUT THE INSTITUTE FOR DATA SCIENCE
Tsinghua University Institute for Data Science，based on Tsinghua University, aims to foster discipline integration and innovation, serve national strategies, promote industrial development, cultivate leading talents, lead first-class researches, and finally establish the most powerful team in China Big Data field.
www.ids.tsinghua.edu.cn
ABOUT THE TSINGHUA UNIVERSITY PRESS
The International Cooperation Department of Tsinghua University Press (TUP) specializes in the press’ overseas business development and copyright trade.
As one of the first Chinese publishing companies to work with overseas trade partners, TUP started its international cooperation in 1990s. Over the years, we have been actively involved in the international exchange and market competition. With the working philosophy of being "open, innovative, professional and efficient", the International Cooperation Department works not only as the press’ window to the outside world, but also a bridge connecting to the world.
Thanks to the rich resources of Tsinghua University, TUP has been highly active at the frontiers of Chinese academic and higher education publishing.
By introducing thousands of high quality overseas titles to the Chinese market, TUP has promoted the international exchange in education and culture on one hand, and established strategic partnerships with many famous international publishing companies such as Pearson Education, Elsevier, John Wiley & Sons, Springer, McGraw Hill Education, Taylor Francis, etc. on the other hand.
TUP is now an experienced publisher favored by many outstanding authors and translators whose works appeal to other publishing companies for they represent the most advanced level of academic research in China. Up till now, TUP has licensed hundreds of titles to publishers in the United States of America, Germany, the United Kingdom, France, Japan, Singapore, South Korea, etc.
With the arrival of the digital era, the International Cooperation Department will take a more open and positive attitude towards international publishing. We sincerely hope to develop a closer and more in-depth cooperation with partners around the world in areas like science and technology, medicine, humanities and social sciences, business and management, children's books, popular books, etc.
ABOUT THE TENCENT RESEARCH INSTITUTE
Set up by Tencent as its research arm for public strategies, Tencent Research Institute utilizes the company’s diverse products, numerous cases and massive data, looks into issues on the development of the Internet, gathers intelligent ideas from different social sectors through an open and collaborative platform; and promotes healthy and orderly development of society and the digital economy.
With an open, inclusive and forward-looking vision for research, the Institute is committed to building itself into a research platform for modern technology, as well as social science and humanities.
Sr Computer Scientist
U.S. Department of Energy’s Argonne National Laboratory
Charles Catlett is a Senior Computer Scientist at the U.S. Department of Energy’s Argonne National Laboratory and a Senior Fellow at the University of Chicago’s Mansueto Institute for Urban Innovation. His current research focuses on urban data analytics, urban modeling, and the design and use of sensing and “edge” computing technologies embedded in urban infrastructure. He is the principal investigator of the NSF-funded “Array of Things” (AoT), an experimental urban infrastructure to measure the city’s environment with sensors and embedded (“edge”), remotely programmable artificial intelligence hardware. Operating at over 100 locations in Chicago, AoT is expanding to 200 during summer 2019.
Catlett has served as Argonne’s Chief Information Officer and before joining UChicago and Argonne in 2000, he was Chief Technology Officer at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign. From NCSA’s founding in 1985 he participated in the development of NSFNET, one of several early national networks that evolved into what we now experience as the Internet. During the exponential growth of the web following the release of NCSA’s Mosaic web browser, his team developed and supported NCSA’s scalable web server infrastructure.
Charlie founded the Urban Center for Computation and Data at the University of Chicago in 2012, was recognized as one of Chicago’s “Tech 50” technology leaders by Crain’s Chicago Business in 2014, and nationally as one of “25 Doers, Dreamers & Drivers” of 2016 by Government Technology magazine. He is a Computer Engineering graduate of the University of Illinois at Urbana-Champaign.
School of Computer Science
Yang Chen is an Associate Professor within the School of Computer Science at Fudan University. He received his B.S. and Ph.D. degrees from the Department of Electronic Engineering in Tsinghua University, in 2004 and 2009, respectively. He was a Postdoctoral Associate at the Department of Computer Science in Duke University, and was a Research Associate at the Institute of Computer Science of the University of Goettingen, Germany. His research interests include online social networks, Internet architecture and mobile computing. He is serving as an Editorial Board Member of the Transactions on Emerging Telecommunications Technologies (ETT) and IEEE Access. He served as an OC / TPC Member for several international conferences, including SOSP, WWW, IJCAI, AAAI, IWQoS and ICCCN. He published more than 60 referred papers in international journals and conferences, including IEEE TPDS, IEEE TMC, IEEE TSC, IEEE TNSM, IEEE TCSS, IEEE Communications Magazine, Middleware, INFOCOM, ICDCS, ICDE, CIKM, ACSAC and IWQoS.
Chen Yunsong joins the Hopkins-Nanjing Center from the Sociology Department at Nanjing University, where he is a Professor of Sociology. Professor Chen’s research interests are in quantitative sociology and he has broad research interests in the fields of big data, social networks and social governance. He has taught classes in social networks, sociological analysis using big data, and advanced quantitative methods in sociology.
Supported by a Clarendon Scholarship, Professor Chen earned his DPhil in Sociology at Nuffield College, the University of Oxford. His recent academic work has appeared in leading English-language journals including Social Networks, Social Science Research, and British Journal of Sociology, as well as top Chinese journals including Social Science in China and Journal of Chinese Sociology. He was awarded the Distinguished Scholarly Publication Award by the Lu Xueyi Sociology Development Foundation. His newer research agenda extends his earlier research to broader fields with novel data extracted from enormous volumes of digitized data (e.g., Google Books N-gram corpus, Baidu Search Engine, Sina-Microblog, Complete Tang Poetry, to name a few) to conduct quantitative analysis at macro or micro levels.
Jane S. & William J. White Professor of Behavioral Sciences
Noshir Contractor is the Jane S. & William J. White Professor of Behavioral Sciences in the McCormick School of Engineering & Applied Science, the School of Communication and the Kellogg School of Management at Northwestern University, USA. He is the Director of the Science of Networks in Communities (SONIC) Research Group at Northwestern University. He is investigating factors that lead to the formation, maintenance, and dissolution of dynamically linked social and knowledge networks in a wide variety of contexts including communities of practice in business, translational science and engineering communities, public health networks and virtual worlds. His research program has been funded continuously for over 20 years by major grants from the U.S. National Science Foundation with additional funding from the U.S. National Institutes of Health (NIH), NASA, DARPA, Air Force Research Lab, Army Research Institute, Army Research Laboratory, Army Research Office, Bill & Melinda Gates Foundation, Rockefeller Foundation and the MacArthur Foundation.
Professor Contractor has published or presented over 250 research papers dealing with communicating and organizing. He has been at the intellectual and institutional forefront of three emerging interdisciplines: network science, computational social science and web science. His book titled Theories of Communication Networks (co-authored with Professor Peter Monge and published by Oxford University Press, and translated into simplified Chinese in 2009) received the 2003 Book of the Year award from the Organizational Communication Division of the National Communication Association. In 2014 he received the National Communication Association Distinguished Scholar Award recognizing a lifetime of scholarly achievement in the study of human communication. In 2015 he was elected as a Fellow of the International Communication Association. In 2018 he received the Distinguished Alumnus Award from the Indian Institute of Technology, Madras where he received a Bachelor’s degree in Electrical Engineering. He received a Ph.D. from the Annenberg School of Communication at the University of Southern California.
The University of Chicago
My research focuses on the collective system of thinking and knowing, ranging from the distribution of attention and intuition, the origin of ideas and shared habits of reasoning to processes of agreement (and dispute), accumulation of certainty (and doubt), and the texture—novelty, ambiguity, topology—of understanding. I am especially interested in innovation—how new ideas and practices emerge—and the role that social and technical institutions (e.g., the Internet, markets, collaborations) play in collective cognition and discovery. Much of my work has focused on areas of modern science and technology, but I am also interested in other domains of knowledge—news, law, religion, gossip, hunches, machine and historical modes of thinking and knowing. I support the creation of novel observatories for human understanding and action through crowd sourcing, information extraction from text and images, and the use of distributed sensors (e.g., RFID tags, cell phones). I use machine learning, generative modeling, social and semantic network representations to explore knowledge processes, scale up interpretive and field-methods, and create alternatives to current discovery regimes. My research has been supported by the National Science Foundation, the National Institutes of Health, the Air Force office of Science Research, and many philanthropic sources, and has been published in Nature, Science, Proceedings of the National Academy of Science, American Journal of Sociology, American Sociological Review, Social Studies of Science, Research Policy, Critical Theory, Administrative Science Quarterly, and other outlets. My work has been featured in the Economist, Atlantic Monthly, Wired, NPR, BBC, El País, CNN, Le Monde, and many other outlets.
At Chicago, I am Director of Knowledge Lab, which has collaborative, granting and employment opportunities, as well as ongoing seminars. I also founded and now direct on the Computational Social Science program at Chicago, and sponsor an associated Computational Social Science workshop. I teach courses in augmented intelligence, the history of modern science, science studies, computational content analysis, and Internet and Society. Before Chicago, I received my doctorate in sociology from Stanford University, served as a research associate in the Negotiation, Organizations, and Markets group at Harvard Business School, started a private high school focused on project-based arts education, and completed a B. A. in Anthropology at Brigham Young University.
Beijing Normal University
1996-1999 Ph.D., Department of Physics, BNU
1994-1996 Master, Department of Physics, BNU
1990-1994 Bachelor, Department of Physics, BNU
2008- Professor, School of Systems Science, BNU
2008- Doctoral Supervisor, School of Systems Science,
2002-2008 Associate Professor, SSS, BNU
1990-1994 Bachelor, Department of Physics, BNU
Fan Ying’s main research area is complexity study and its application in different fields. Fan has made achievements in human capital, technological innovation and economic growth through socioeconomic system analyzing. She is focusing on the emergence of complex system as well as the complexity study in complex network and socioeconomic system.
Institute of Computer Science
Xiaoming Fu received his Ph.D. from Tsinghua University and is currently Professor of Computer Science at University of Göttingen, Germany. He is interested in networked systems and services, cloud computing, mobile computing, big data and social networks. He has served on several journal editorial boards (e.g., IEEE Transactions on Network Science and Engineering, IEEE Transactions on Network and Service Management, IEEE Communications Magazine, Elsevier Computer Communications) and conference committees (e.g., SIGCOMM, MobiCom, CoNEXT, INFOCOM, ICNP, COSN), and as elected officers of IEEE Communications Society Technical Committees on Computer Communications (TCCC) and Internet (ITC). He is a fellow of Institution of Engineering and Technology (IET) and Academia Europaea (The Academy of Europe), an IEEE Senior Member and IEEE Distinguished Lecturer.
Max Planck Institute for Software Systems
Krishna Gummadi is a scientific director and head of the Networked Systems research group at the Max Planck Institute for Software Systems (MPI-SWS) in Germany. He also holds an honorary professorship at the University of Saarland. He received his Ph.D. (2005) and B.Tech. (2000) degrees in Computer Science and Engineering from the University of Washington and the Indian Institute of Technology, Madras, respectively.
Krishna's research interests are in the measurement, analysis, design, and evaluation of complex Internet-scale systems. His current projects focus on understanding and building social computing systems. Specifically, they tackle the challenges associated with (i) assessing the credibility of information shared by anonymous online crowds, (ii) understanding and controlling privacy risks for users sharing data on online forums, (iii) understanding, predicting and influencing human behaviors on social media sites (e.g., viral information diffusion), and (iv) enhancing fairness and transparency of machine (data-driven) decision making in social computing systems.
Krishna's work on online social networks, Internet access networks, and peer-to-peer systems has been widely cited and his papers have received numerous awards, including SIGCOMM Test of Time, IW3C2 WWW Best Paper Honorable Mention, Runners-Up Casper Bowden Privacy Enhancing Technologies (PET) Award, and Best Papers at NIPS ML & Law Symposium, ACM COSN, ACM/Usenix SOUPS, AAAI ICWSM, Usenix OSDI, ACM SIGCOMM IMC, ACM SIGCOMM CCR, and SPIE MMCN. He has also co-chaired AAAI's ICWSM 2016, IW3C2 WWW 2015, ACM COSN 2014, and ACM IMC 2013 conferences. He received an ERC Advanced Grant in 2017 to investigate "Foundations for Fair Social Computing".
Department of Computer Science & Engineering,
The Chinese University of Hong Kong
Prof. King's research interests include machine learning, social computing, web intelligence, data mining, and multimedia information processing. In these research areas, he has over 210 technical publications in journals (JMLR, ACM TOIS, IEEE TNN, Neurocomputing, NN, IEEE BME, PR, IEEE SMC, JAMC, JASIST, IJPRAI, DSS, etc.) and conferences (NIPS, IJCAI, CIKM, SIGIR, KDD, PAKDD, ICDM, WWW, WI/IAT, WCCI, IJCNN, ICONIP, ICDAR, etc.). In addition, he has contributed over 30 book chapters and edited volumes. Moreover, Prof. King has over 30 research and applied grants. One notable patented system he has developed is the VeriGuide System, previously known as the CUPIDE (Chinese University Plagiarism IDentification Engine) system, which detects similar sentences and performs readability analysis of text-based documents in both English and in Chinese to promote academic integrity and honesty.
Prof. King is the Book Series Editor for “Social Media and Social Computing” with Taylor and Francis (CRC Press). He is also an Associate Editor of the ACM Transactions on Knowledge Discovery from Data (ACM TKDD) and a former Associate Editor of the IEEE Transactions on Neural Networks (TNN) and IEEE Computational Intelligence Magazine (CIM). He is a member of the Editorial Board of the Open Information Systems Journal, Journal of Nonlinear Analysis and Applied Mathematics, and Neural Information Processing–Letters and Reviews Journal (NIP-LR). He has also served as Special Issue Guest Editor for Neurocomputing, International Journal of Intelligent Computing and Cybernetics (IJICC), Journal of Intelligent Information Systems (JIIS), and International Journal of Computational Intelligent Research (IJCIR). He is a senior member of IEEE and a member of ACM, International Neural Network Society (INNS), and Asian Pacific Neural Network Assembly (APNNA). Currently, he is serving the Neural Network Technical Committee (NNTC) and the Data Mining Technical Committee under the IEEE Computational Intelligence Society (formerly the IEEE Neural Network Society). He is also a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA. He also serves INNS as the Vice-President for Membership in the Board of Governors. Moreover, he is the General Chair of WSDM2011, General Co-Chair of RecSys2013, and in various capacities in a number of top conferences such as WWW, NIPS, ICML, IJCAI, AAAI, etc.
Prof. King is Associate Dean (Education), Faculty of Engineering and Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. Recently, he was on leave with AT&T Labs Research, San Francisco and was also teaching Social Computing and Data Mining as a Visiting Professor at UC Berkeley. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology, Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California, Los Angeles.
Oxford Internet Institute
Dr. Krafft is a Senior Research Fellow at the OII in the University of Oxford's Social Science Division. Before coming to OII, Dr. Krafft received a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL), where Dr. Krafft was funded in part by a National Science Foundation (NSF) Graduate Research Fellowship. After graduating, Dr. Krafft was a Moore/Sloan & WRF Innovation in Data Science Postdoctoral Fellow at the University of Washington Information School, a postdoctoral researcher at the University of California Berkeley's Social Science Matrix and Department of Psychology, a visiting postdoctoral scholar at the Data & Society Research Institute in New York City, and a participant in the Harvard Berkman-Klein Center/MIT Media Lab Assembly program.
2015-now Vice Dean of School of National Governance, Sun Yat-sen University
2015-now Professor of Sociology, Sun Yat-sen University
2014-now Assistant Dean of School of Sociology and Anthropology, Sun Yat-sen University
2014-now Assistant Dean of Institute of National Governance, Sun Yat-sen University
2013-2014 Visit Scholar, Sociology Department of John Hopkins University
2009-now Deputy Head of Social Science Survey Center, Sun Yat-sen University
2009-2013 Deputy Head of Department of Sociology, Sun Yat-sen University
2007-2014 Associate Professor of Sociology, Sun Yat-sen University
2003-2007 Research Assistant of Social Survey Center, Hong Kong University of Science & Technology (HKUST)
1998-2002 Assistant Professor of Sociology, Sun Yat-sen University
Bachelor Sun Yat-sen University (Physics), 1995
Master Sun Yat-sen University (Sociology), 1998
Ph.D. Hong Kong University of Science & Technology (Sociology), 2007
Department of Computer Science
Zhiyuan Liu is an associate professor at the Department of Computer Science and Technology, Tsinghua University. He received his Ph.D. degree in Computer Science from Tsinghua in 2011. His research interests include representation learning, knowledge graphs and social computation, and has published more than 80 papers in top-tier conferences and journals of AI and NLP including ACL, IJCAI and AAAI, cited by more than 5000 according to Google Scholar. He is the recipient of the Excellent Doctoral Dissertation of Tsinghua University, the Excellent Doctoral Dissertation of CAAI (Chinese Association for Artificial Intelligence).
School of Social Sciences & School of Public Policy and Management
Chairman of Tsinghua Social Network Research Center
Luo Jar-Der is a professor of Sociology Dept., Tsinghua University in Beijing, president of Chinese Network for Social Network Studies, and chairman of Tsinghua Social Network Research Center. He earned his Ph.D. degree in Sociology Dept. of State U. of New York at Stony Brook. He researches numerous topics in social network studies, including social capital, trust, social network analysis in big data, self-organization process and Chinese indigenous management researches, such as guanxi and guanxi circle.
Luo Jar-Der, with a group of voluntary network theorists, organized Chinese Network for Social Network Studies (in brief, CNSNS) in 2005. Its purposes aim at promoting Network Theories and Social Network Analysis in China and developing network theories suited for Chinese management. Chinese always describe themselves as a “Ren-Ching society”, that is, roughly saying, a society built upon social ties (guanxi) and favor exchanges (Ren-Ching- jiau-huan).
Luo Jar-Der organized Community Revitalization Research Center in Tsinghua U., which aims at doing experiments in communities and establishing a model for sustainable revitalization in urban and rural areas that emphasizes sustainability of the local ecology, economy, and social systems. We will endeavor to implement a revitalization model combining private-public partnership and sustainable concepts into practice, incorporating scientific planning, balanced development, step-by-step implementation and self-reliance of local community into our plan.
Institute of Computer Science
Alexander Mehler is professor of Computational Humanities / Text-technology at Goethe University Frankfurt where he heads the Text Technology Lab (TTLab). He belonged to the executive committee of the German Society for Computational Linguistics & Language Technology where he currently heads the research group on Quantitative Corpus Linguistics. Alexander Mehler was head of the research group Computational Semiotics of the German Society of Semiotics and belonged to the executive committee of the LOEWE Priority Program "Digital Humanities". Currently, Alexander Mehler is member of the executive committee of the Center for Digital Research in the Humanities, Social Sciences and Education Sciences (CEDIFOR). Alexander Mehler is a founding member of the German Society for Network Research (DGNet). His research interests include the quantitative analysis, simulative synthesis and formal modelling of textual units in spoken and written communication. To this end, he investigates linguistic networks based on contemporary and historical languages (using models of language evolution). A current research interest of Alexander Mehler concerns 4D text technologies based on Virtual Reality (VR), Augmented Reality (AR) and Augmented Virtuality (AV).
