In this Turing Lecture, Chief Scientific Advisor for National Security Anthony Finkelstein will present the technological challenges faced by defence and security in the UK, and discuss how the government plans to overcome the obstacles presented by the application of data science in this sector. This talk will be followed by The Alan Turing Institute Turing Fellow Professor Jon Crowcroft (University of Cambridge), who will address the complications that arise from system designs, and explain how The Alan Turing Institute and its collaborators are beginning to approach them.
About the event
Speaker One: Professor Anthony Finkelstein
Title: National Security Science: challenges and opportunities National security is a challenging setting for the application of science and technology.
This talk will present a perspective on these challenges and will specifically address the particular research challenges and opportunities for the data sciences, setting the scene for data science research taking place in this sector.
Speaker Two: Professor Jon Crowcroft
Title: Systems Challenges for Data Science at The Alan Turing Institute
Today, data science systems at “hyperscale” are available only to large, cloud-based companies, such as Google, Microsoft and Facebook, or in very specialised, data-driven science. But much of the promise lies in dealing with data that is somewhat more distributed in rack scale systems such as the Internet of Things, Smart Cities, public health monitoring and personal cloud in mobile provider networks. Neither of these environments provide ease of programming with high throughput, low latency and decent security and confidentiality.
In this talk, Professor Crowcroft will discuss the challenges that arise from the design of systems, in particular programming languages, operating systems, and networking and analytics platforms, and how The Alan Turing Institute, with its partners and collaborators, is addressing them.