Welcome to ACM Web Science 2016

The 8th International ACM Web Science Conference 2016 will be held from May 22 to May 25, 2016 in Hannover, Germany and is organized by L3S Research Center. The conference series by the Web Science Trust is following events in Athens, Raleigh, Koblenz, Evanston, Paris, Indiana, and Oxford.

The conference brings together researchers from multiple disciplines, like computer science, sociology, economics, information science, or psychology. Web Science is the emergent study of the people and technologies, applications, processes and practices that shape and are shaped by the World Wide Web. Web Science aims to draw together theories, methods and findings from across academic disciplines, and to collaborate with industry, business, government and civil society, to develop our knowledge and understanding of the Web: the largest socio-technical infrastructure in human history.

★ Proceedings (ACM Digital Library) ★

★ Web Science 2016 Awards ★

★ Conference Navigator ★

★ Impressions ★

Keynote Speakers

Daniel Miller

Daniel Miller is a Professor of Anthropology at University College London. He is a Fellow of the British Academy. He founded the first degree in Digital Anthropology at UCL. He has authored/edited 37 books including 'The Internet: An Ethnographic Approach' (with D. Slater 2001), 'The Cell Phone' (2006), 'Tales From Facebook' (2001), and 'Digital Anthropology' (with Heather Horst, 2012). Migration and New Media (with Mirca Madianou, 2012). Webcam (with J Sinanan 2014). Social Media in an English Village (2016) and How the World Changed Social Media (with 8 others UCL Press 2016). He also has three books with Suhrkamp: Der Trost der Dinge, Das Wilde Netzwork and Weihnachten - Das Globale Fest. Recently a play based on his work premiered in Stuttgart. Currently he holds a five-year (2012-2017) Advanced Grant from the European Research Council to investigate global social media.

Andrew Tomkins

Andrew joined Google Research in 2009, where he serves as an engineering director working on geo data analysis and machine learning. His earlier research focused on measurement, modelling, and analysis of content, communities, and users on the World Wide Web. Prior to joining Google, he spent four years at Yahoo! serving as chief scientist of search, and eight years at IBM's Almaden Research Center, where he served as chief scientist on the WebFountain project. Andrew has authored over 100 technical papers and 60 issued patents. He received Bachelors degrees in Mathematics and Computer Science from MIT, and a PhD in CS from Carnegie Mellon University.

Daniel Olmedilla

Daniel Olmedilla is Engineering Manager at Facebook. He leads the Machine Learning efforts in the Integrity area around products such as Ads, Pages, Groups and Commerce at Facebook. Prior to joining Facebook in 2014, Daniel was Vice President of Data Science at XING, and served as an independent expert and evaluator for the European Commission in a number of ICT-related domains (including Big Data and Machine Learning). Daniel holds two PhDs from Universidad Autonoma de Madrid and Leibniz Universität Hannover, and during his professional career, he has combined technology research, big data, and business strategy in multiple companies such as XING, Telefónica and Deloitte.

Ricardo Baeza-Yates

Ricardo Baeza-Yates is currently affiliated to Universität Pompeu Fabra, Spain & Universidad de Chile. Before he founded and lead the Yahoo! Labs in Barcelona and Santiago de Chile from 2006 to 2015. Between 2008 and 2012 he also oversaw the Haifa lab. He is also part time Professor at the Dept. of Information and Communication Technologies of the Universitat Pompeu Fabra, in Barcelona, Spain. During 2005 he was an ICREA research professor at the same university. Until 2004 he was Professor and before founder and Director of the Center for Web Research at the Dept. of Computing Science of the University of Chile (in leave of absence until today). He obtained a Ph.D. in CS from the University of Waterloo, Canada, in 1989. Before he obtained two masters (M.Sc. CS & M.Eng. EE) and the electronics engineer degree from the University of Chile in Santiago. He is co-author of the best-seller Modern Information Retrieval textbook, published in 1999 by Addison-Wesley with a second enlarged edition in 2011, that won the ASIST 2012 Book of the Year award. He is also co-author of the 2nd edition of the Handbook of Algorithms and Data Structures, Addison-Wesley, 1991; and co-editor of Information Retrieval: Algorithms and Data Structures, Prentice-Hall, 1992, among more than 500 other publications. From 2002 to 2004 he was elected to the board of governors of the IEEE Computer Society and in 2012 he was elected for the ACM Council. He has received the Organization of American States award for young researchers in exact sciences (1993), the Graham Medal for innovation in computing given by the University of Waterloo to distinguished ex-alumni (2007), the CLEI Latin American distinction for contributions to CS in the region (2009), and the National Award of the Chilean Association of Engineers (2010), among other distinctions. In 2003 he was the first computer scientist to be elected to the Chilean Academy of Sciences and since 2010 is a founding member of the Chilean Academy of Engineering. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow.

Jure Leskovec

Jure Leskovec is an assistant professor of Computer Science at Stanford University and chief scientist at Pinterest. His research focuses on mining large social and information networks, their evolution, and the diffusion of information and influence over them. Computation over massive data is at the heart of his research and has applications in computer science, social sciences, economics, marketing, and healthcare. This research has won several awards including a Lagrange Prize, Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, and numerous best paper awards. Leskovec received his bachelor's degree in computer science from University of Ljubljana, Slovenia, and his PhD in in machine learning from the Carnegie Mellon University and postdoctoral training at Cornell University. You can follow him on Twitter @jure .

Helen Margetts

Helen Margetts is the Director of the OII, and Professor of Society and the Internet. She is a political scientist specialising in digital era governance and politics, investigating political behaviour, digital government and government-citizen interactions in the age of the internet, social media and big data. She has published over a hundred books, articles and major research reports in this area, including Political Turbulence: How Social Media Shape Collective Action (with Peter John, scott Hale and Taha Yasseri, 2015); Paradoxes of Modernization (with Perri 6 and Christopher Hood, 2010); Digital Era Governance (with Patrick Dunleavy, 2006); and The Tools of Government in the Digital Age (with Christopher Hood, 2007). In 2003 she and Patrick Dunleavy won the 'Political Scientists Making a Difference' award from the UK Political Studies Association, in part for a series of policy reports on Government on the Internet for the UK National Audit Office (1999, 2002 and 2007), and she continues working to maximise the policy impact of her research. She sits on the Digital Advisory Board of the UK Government Digital Service and the World Economic Forum Global Agenda Council on the Future of Government. She is editor-in-chief of the journal Policy and Internet. She is a fellow of the Academy of Social Sciences. From 2011- 2014 she held the ESRC professorial fellowship 'The Internet, Political Science and Public policy: Re-examining Collective Action, Governance and Citizen-Governance Interactions in the Digital Era'.

Professor Margetts joined the OII in 2004 from University College London where she was a Professor in Political Science and Director of the School of Public Policy. She began her career as a computer programmer and systems analyst with Rank Xerox after receiving her BSc in mathematics from the University of Bristol. She returned to studies at the London School of Economics and Political Science in 1989, completing an MSc in Politics and Public Policy in 1990 and a PhD in Government in 1996. She worked as a researcher at LSE from 1991 to 1994 and a lecturer at Birkbeck College, University of London from 1994 to 1999.