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-{{wiki:​pics:​bann_cost.jpg}} +====== ​About ====== 
- +**COSTNET: ​the European Cooperation for Statistics of Network Data Science.**
-====== ​CostNet ​====== +
-**the European Cooperation for Statistics of Network Data Science** +
- +
-COSTNET is [[http://​www.cost.eu/​domains_actions|COST Action]] CA15109 which aims to foster an international European collaboration on the emerging field of statistics of network data science. COSTNET facilitates interaction and collaboration between diverse groups of statistical network modellers, establishing a large and vibrant interconnected and inclusive community of network scientists.  +
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-Official information from the COST Office: +
-  ​[[http://​www.cost.eu/​COST_Actions/​ca/​CA15109|Description]] +
-  ​[[http://​www.cost.eu/​COST_Actions/​ca/​CA15109?​parties|Parties]] +
-  * [[http://​www.cost.eu/​COST_Actions/​ca/​CA15109?​management|Management Committee]] +
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-^  Chair  ^ Vice Chair ^  Administrative Officer ^ Science Officer ^  +
-| [[http://​www.math.rug.nl/​~ernst/​|Professor Ernst Wit]]  | [[https://​www.stats.ox.ac.uk/​people/​academic_staff/​gesine_reinert|Professor Gesine Reinert]] ​  | Ms Rose Cruz Santos ​  | Ms Estelle Emeriau ​ | +
-| University of Groningen ​ | University of Oxford ​ | COST Office ​ | COST Office ​ | +
-| Nijenborgh 9  | Department of Statistics ​ | Avenue Louise 149  | Avenue Louise 149  | +
-| 9700 AK Groningen ​ | 1 South Parks Road  | 1050 Brussels ​ | 1050 Brussels ​ | +
-|  | OX1 3TG Oxford ​ |  |  | +
-| Netherlands ​ | United Kingdom ​ | Belgium ​ | Belgium ​ | +
-| <​e.c.wit@rug.nl> ​ | <​reinert@stats.ox.ac.uk> ​ | <​rose.cruzsantos@cost.eu> ​ | <​Estelle.Emeriau@cost.eu> ​ | +
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-|{{wiki:​pics:​logo_eu_flag.png?​45}} | COST is supported by the EU Framework Programme Horizon 2020. \\ © 2016 COST Action CA15019.| +
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 +A major challenge in many modern economic, epidemiological,​ ecological and biological questions is to understand the randomness in the network structure of the entities they study: for example, the SARS epidemic showed how preventing epidemics relies on a keen understanding of random interactions in social networks, the financial crises in 2008 arose from structural changes in the financial lending network induced by the subprime mortgage collapse, whereas progress in curing complex diseases is aided by a robust data-driven network approach to biology.
  
 +This Action aims to facilitate interactions and collaborations between diverse groups of statistical network modellers, establishing a large and vibrant interconnected and inclusive community of network scientists. The aim of this interdisciplinary Action is two-fold. On the scientific level, the aim is to critically assess commonalities and opportunities for cross-fertilization of statistical network models in various applications,​ with a particular attention to scalability in the face of Big Data. On a meta-level, the aim is to create a mainly online community which includes researchers from across the whole of Europe and at every stage in their scientific career and to facilitate contact with stakeholders.
 +For more information concerning technical aspects of this Action please consult:
 +  * {{pub:​doc:​ca15109-mou.pdf|Memorandum of Understanding}}
 +Information on COST Actions in general and what they offer can be found at the COST website:
 +  * [[http://​www.cost.eu/​about_cost/​how_does_cost_work|How does COST work?]]
about.1484420169.txt.gz · Last modified: 2017/01/14 19:56 by vlado