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Women in Data Science event: 7 December 2016

The field of Data Science is booming, yet comparatively few women are entering it. Why? What are the obstacles and opportunities facing them if they do? The path to change is challenging, but there are women out there who can testify that it’s possible.

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Professor David Abrahams

We have great pleasure in welcoming David Abrahams as Director of the Isaac Newton Institute for Mathematical Sciences, and NM Rothschild and Sons Professor of Mathematics, replacing John Toland who is now retiring.


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What's On

Data Linkage and Anonymisation

4th July 2016 to 21st December 2016

The focus of this programme will be on contributions the mathematical sciences can make to enhancing opportunities for the analysis of data, especially obtained through linkage, whilst protecting privacy and taking account of related practical constraints. The programme will seek to promote exchange between the mathematical sciences and related disciplines, such as economics, as well as with practitioners and domain experts on the front line of enabling access to large databases: for example in official statistics, medical research and commerce. The programme will include five events designed to promote interchange between these different communities as well as to open these themes up to a wider spectrum of researchers in the mathematical sciences, including those at early career stages.

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Theoretical Foundations for Statistical Network Analysis

11th July 2016 to 21st December 2016

The core of this 6-month programme is understanding and quantifying mathematical structure in network models. Networks are ubiquitous in modern science and society. In fact, whenever we observe entities and relationships between them, we have network data. The behaviour of almost all networks, natural or engineered, physical or information-based, involves a strong component of randomness and is typically not fully or directly observed. Considerable open challenges remain in proving properties both of generative mechanisms for such networks, as well as of methods for inference. This motivates the development of theoretical foundations for statistical network analysis.

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Probability and Statistics in Forensic Science

18th July 2016 to 21st December 2016

The programme will develop the main research topics in this area, such as the use of Bayesian networks for combining and evaluating multiple types of evidence, and statistical methods for DNA analysis, particularly in the difficult situations that arise in actual cases of forensic detection: mixed, low template or degraded DNA samples or rare Y-haplotypes. We will also examine the role statistical databases play in other types of trace evidence such as fibre analysis, soil analysis, and drug traces on banknotes.

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New Developments in Data Privacy

5th December 2016 to 9th December 2016
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New Approaches to Anonymisation

5th December 2016

Privacy and confidentiality of data is hugely relevant in today’s world where increasing numbers of large databases describing people, their characteristics and their behaviours are being looked to for analysis. Indeed, public policy decisions and much scientific research hinge on accurate and comprehensive data about people and there is increasing reliance by commercial organisations basing their success similarly on data describing how people behave.

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Stimulating the interchange of knowledge and ideas between academics from different disciplines and users of modern mathematics such as industry and policy makers, the Turing Gateway facilitates access to experts with highly specialist mathematical knowledge.

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The Institute now invites proposals for 1-, 4- and 6-month research programmes in any branch of the mathematical sciences.

The deadline for submission is 31 January 2017, for consideration at the meeting of the Scientific Steering Committee in May 2017.

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The Isaac Newton Institute is a singularity in the research landscape - scientists from the whole world meet and push the frontiers of science.

Stephanie Widder

Stefanie Widder, University of Vienna

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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons