SuSTaIn

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SuSTaIn Events Statworks workshop Slides (password protected) Invited speakers Location Programme Abstracts (pdf) Information for presenters Participation Accommodation Conference dinner Local Restaurants Directions

Programme

As researchers find networks a natural perspective for analysing a more and more diverse set of applications, an almost equally diverse set of a methodologies emerge, ranging from highly-tailored ad hoc solutions to broad attempts to capture the full generality of network inference. In such a new field of exploration, each of these disparate paths contributes to our joint understanding of the scope of network-based models.

By gathering together statisticians, mathematical modellers and application-oriented researchers, we hope to further this progress by:

highlighting commonalities of current methodologies;
identifying where specific applications might borrow methods from other areas;
exploring the contribution that rigorous modelling can make to inference to applied problems;
finding areas where application-specific approaches point the way forward to new theoretical developments;
and identifying methodological gaps.

While the connections that might be made are impossible to foresee, we particularly seek to contribute by bringing together many of the most general modelling approaches, in order to inform other researchers about the state of rigorous inference. Conversely, we hope the probing of applications-oriented researchers of these statistical methods will point the way forward to improvements in practical theory.

The topics covered by this conference include - but are not limited to:

Methodology

Mathematical modelling
Statistical properties of networks
Inference of network structure
Computational methods

Applications

Social dynamics
Economics and games on networks
Disease transmission and epidemiology
Biological networks from cells to ecologies
Transport, communication and power networks

The programme shown here is provisional, and correct as at 10 June 2010, also available here in pdf.

Abstracts are available here in pdf.

Monday 28 June

08:30-09:20 Registration
09:20-09:30 Opening remarks

09:30-10:30 Stanley Wasserman Statistical models for networks: The past, present, and future

10:30-11:00 Coffee Break

11:00-12:30 Statistics of networks
11:00-11:30 Ashley FORD (Warwick University) Statistically Equivalent Graphs and Product Space Representations
11:30-12:00 Nick FYSON (University of Bristol) Network Reconstruction by Set Covering
12:00-12:30 Arnold POLANSKI (Queen's University Belfast) Recovering Connection Structures from individual Attributes

12:30-13:30 Lunch

13:30-15:00 Epidemics
13:30-14:00 Xueying WANG (SAMSI) Pairwise Closure Approximations in epidemic models on networks
14:00-14:30 Theodore KYPRAIOS (university of Nottingham) Bayesian Inference for Stochastic Epidemic Models on Networks
14:30-15:00 Katy ROBINSON (University of Bristol) The dynamics of sexual contact networks: effects on disease spread and control

15:00-15:30 Coffee Break

15:30-16:30 Michael Stumpf
16:30-17:30 Eric Kolaczyk Drug Targets Prediction: Finding Biological Needles in a Haystack of Networks

18:00-20:00 Poster Session

Tuesday 29 June

09:00-10:00 Sanjeev Goyal Strategic Network Formation

10:00-10:30 Coffee Break

10:30-12:00 Theory of networks
10:30-11:00 Nick JONES (Oxford Physics) A Taxonomy of Networks: Using a Mesoscopic response Function to investigate structure in empirical networks
11:00-11:30 Renaud LAMBIOTTE (Imperial College London) Dynamics, Modularity and Robustness of Complex Networks
11:30-12:00 Pierre-Olivier AMBLARD (CNRS/GIPSAlab) Directed information theory to infer causality graphs

12:00-13:00 Lunch

13:00-14:00 Stephane Robin Uncovering structure in biological interaction networks

14:00-15:00 Viewing the Goldney Grotto

15:00-15:30 Coffee Break

15:30-17:00 Social networks
15:30-16:00 Tyler McCORMICK (Columbia University) Latent Structure Models for Social Networks using Aggregated Relational Data
16:00-16:30 Tauhid R ZAMAN (Massachusetts Institute of Technology) Finding rumor Sources in Networks
16:30-17:00 Nick HEARD (Imperial College London) Bayesian Anomaly Detection Methods for Social Networks

Wednesday 30 June

09:00-10:00 Geoffrey West Universal Scaling Laws, Network Structures, Sustainability and the Pace of Life from Cells and Ecosystems to Cities and Corporations

10:00-10:30 Coffee Break

10:30-12:00 Biological and genetic networks
10:30-11:00 Christopher PENFOLD (University of warwick) Systems Biology Networks
11:00-11:30 Mudassar IQBAL (University of warwick) An integrative Bayesian Analysis of Transcription regulation in S.coelicolor
11:30-12:00 Miguel JUAREZ (University of warwick) Inferring the topology of a non-linear gene regulatory network using fully Bayesian spline regression

12:00-13:00 Lunch

13:00-14:30 Statistics of networks
13:00-13:30 Clive BOWSHER (University of Cambridge) Biomolecular Networks: Dynamic Independence, Modularisation and Information Processing
13:30-14:00 Andrew SMITH (University of Bristol) Nonparametric regression on a graph
14:00-14:30 Patrick O. PERRY (Harvard University) A graph log-linear model for charaterizing repeated interactions

14:30-15:00 Coffee Break

15:00-16:00 Sean Meyn The value of Volatile Resources in Electricity Markets

16:00-17:30 Traffic and transport
16:00-16:30 Andrei BEJAN (University of Cambridge) Statistical Modelling and Analysis of Sparse Bus Probe Data in Urban Areas
16:30-17:00 Richard GIBBENS (University of Cambridge) An investigation of proportionally fair ramp metering
17:00-17:30 Michael GASTNER (Imperial College London) The complex network of global cargo ship movements

19:00-23:00 Conference Dinner

Thursday 1 July

09:30-10:30 Animal social networks
09:30-10:00 Ana B. SENDOVA-FRANKS (University of West of England, Bristol) Emergency networking in ant colonies
10:00-10:30 Dick JAMES (University of Bath) Animal Social Networks

10:30-11:00 Coffee Break

11:00-12:00 David Barber Finding graph clusters using clique matrices
12:00-13:00 Brendan Murphy A mixture of experts latent position cluster model for social network data

13:00-14:00 Lunch

14:00 Conference ends