Local Events Bath

Public Value and Data Driven Policing
Eventbrite.co.uk
12:30pm - 2pm


The combination of new technology and big data is transforming the landscape of crime and policing. This talk from Dr Ian Kearns adapts the concept of public value to the policing context to create a 'policing bottom line' and examines the various ways in which the police are using a data driven approach to deliver value across its various dimensions. It also examines some of the key challenges and barriers facing the police as they seek to move in this direction.

Lunch will be provided.

Dr Ian KearnsDr Kearns has over 25 years of experience working in the public, private and NGO sectors, the last 15 of them in organisational leadership positions.
He is a former Deputy Director and Acting Director of the Institute for Public Policy Research (IPPR), and former Director of the Global Government Industry Practice of Electronic Data Systems (EDS). Prior to this, Dr Kearns co-founded the European Leadership Network in 2011, with former UK Defence Secretary, Des Browne.
Dr Kearns has written for The Guardian, The Times, The Independent, Newsweek, The New Statesman and many other outlets around the world, and has served as speech writer and ghost op-ed writer to former Cabinet Ministers, senior politicians and business leaders. He is also the author of Collapse: Europe after the European Union.
Mathscon November Talks: the University of Bath Edition
Eventbrite.co.uk
6pm - 7pm


Introducing Mathscon Talks!
We're honoured to be hosting, in conjunction with BUMS (Bath University Maths Society), Professor Christopher Jennison (University of Bath) to hear him discuss Why random is good: The statistics of clinical trials.
Professor Jennison's research interests include the design and analysis of clinical trials. He has worked on sequential methods, which are used to monitor trials and make decisions on when to stop a study. He also has interests in the statistical image analysis, spatial statistics and the computational methods used to fit complex models to large data sets. Here, the application areas range from medical and biological data to remote sensing and modelling the atmosphere. With motivation from these applications, he has worked on aspects of Markov chain Monte Carlo simulation, including perfect sampling, mode jumping and methods for sampling distributions which are almost confined to a subspace of the parameter space.
FAQs 
How can I contact the organiser with any questions?
Email us at team@mathscon.com