A two day workshop on 29-30 May 2018 at the Alan Turing Institute. This workshop is by invitation only.
Data consisting of multiple interacting entities are increasingly collected in social sciences, engineering, economics, biology and many other fields. Despite the progress made in multiple areas, there is a fundamental lack of statistical models that can characterize the many distinctive features of networked systems such as sparsity, transitivity, reciprocity and etc. with justified guarantees. This workshop aims to gather researchers working on statistical methodology of networks to exchange ideas, forge collaboration and identify open challenges ahead.
Ginestra Bianconi (Queen Mary University of London)
Yang Feng (Columbia University)
Sonja Petrovic (Illinois Institue of Technology)
Eric Kolaczyk (Boston University)
Sofia Olhede (University College London)
Yuguo Chen (University of Illinois Urbana-Champion)
Koen Jochmans (University of Cambridge)
Bryan Graham (University of California at Berkeley)
Sharmodeep Bhattacharyya (Oregon State University)
Chao Gao (University of Chicago)
David Choi (Carnegie Mellon University)
Michael Leung (University of Southern California)
Zongming Ma (University of Pennsylvania)
Vishesh Karwa (Ohio State University)
Michael Sweinberger (Rice University)
Mingli Chen (University of Warwick)
Stefan Stein (Warwick)
Hilmi Majid (Warwick and Turing)
Sandipan Roy (UCL)
Anatol Wegner (UCL)
Kathryn Leeming (Bristol)
François Caron (Oxford)
Juho Lee (Oxford)
Cian Naik (Oxford)
Fadhel Ayed (Oxford)
Chenlei Leng (Warwick), Mingli Chen (Warwick), Yi Yu (Bristol)
The Alan Turing Institute, British Library, 96 Euston Rd, Kings Cross, London NW1 2DB.
Delegates please enter the main entrance of the Library, then take the escalator to the first floor. The Insititute can be found on your right.