7 April 2014, Wilkins Gustave Tuck LT, UCL Bloomsbury Campus, London
Organised in partnership with the UCL Big Data Institute, the Big Data Symposium is a one-day event showcasing the important role of big data analytics in a broad range of sectors including biomedical research, astronomy, telecommunications, retail sector finance, retail, social media, and security & resilience.
The broad and diverse programme aims to highlight to researchers across the piece the breadth of multi-disciplinary research currently being undertaken in this rapidly growing field, and to illustrate the value of collaboration across the different sectors.
Dr Kenji Takeda, Microsoft
"Big Data – from consumers and patients, to the sea and stars"
Session 1: Pushing the Boundaries of Science and Medicine
Prof Peter Coveney, Centre for Computational Science, UCL
"Biomedical Informatics: A 21st Century Challenge" [Presentation]
Prof Bernard Schutz, Max Planck Institute for Gravitational Physics and Cardiff University
"Astronomy: a Universe of Data" [Presentation]
Dr Rob Baxter, Edinburgh Parallel Computing Centre, University of Edinburgh
“Research Data Infrastructures: Where Next?” [Presentation]
Session 2: Driving Business Innovation
Dr Detlef Nauck, Intelligent Systems Research Centre, BT
"Predictive Analytics and Big Data"
Prof Philip Treleaven, UK Centre for Financial Computing & Analytics, UCL
"Big Data-driven Business: Finance, Retail, eHeathcare" [Presentation]
Piers Stobbs, dunnhumby
"Customer Science: enhancing loyalty in a world of Big Data" [Presentation]
Peter Laflin, Bloom Agency
“Unlocking value from mining social media data”
Session 3: Data Privacy, Security and Resilience
Dr JP MacIntosh, Institute for Security and Resilience Studies, UCL
“Escaping the DICK Trap: Learning to make resilience and security complementary”
Data Privacy and Security Panel Discussion
Chair: Prof Bernard Schutz, Max Planck Institute for Gravitational Physics and Cardiff University
Panellists: Dr Kenji Takeda, Microsoft; Prof Peter Coveney, Centre for Computational Science, UCL; Dr Rob Baxter, Edinburgh Parallel Computing Centre, University of Edinburgh; Dr Detlef Nauck, Intelligent Systems Research Centre, BT; Prof Philip Treleaven, Financial Computing Centre, UCL; Piers Stobbs, dunnhumby; Peter Laflin, Bloom Agency; Dr JP MacIntosh, Institute for Security and Resilience Studies, UCL
In today’s society, there is a wealth of personal information available on the average individual, from social media data on the Internet to medical data stored in NHS databases to shopping data held by private companies. This information can be utilised by organisations for a variety of purposes, some of which are helpful to the individual, and some of which are arguably detrimental, such as the use of personal information to profile or discriminate against individuals based on their demographics. The potential for organisations or third parties to abuse personal data has lead to concerns over the protection of sensitive data, which can include processes such as anonymization, pseudonymization, encryption, key-coding, and data sharding in order to distance the data from real identities. However, computer scientists have shown that it is still possible to piece together a person’s identity from such data, making it difficult to trust in the efficacy of these processes. How do we regulate and enforce data privacy and security in the digital age, and can we do so without giving up the potential benefits?
Start time: Mon, 07/04/2014 - 10:00
End time: Mon, 07/04/2014 - 18:00