Local Events Bath

Good analytics needs good data and that needs good metadata
2:15pm - 4pm

Good analytics needs good data, and that needs good metadata
Professor Mandy Chessell discusses metadata management and groundbreaking advances in the data industry.

IMI Thematic Semester talk
When: Wednesday 28 February 2018, 2.15 - 4pm
Venue: University of Bath, Building 8 West, Room 2.1
Audience: FREE event at the University of Bath, open to all with a ticket 

Data is meaningless without metadata. Metadata is the descriptive information that describes the origin, format, structure and meaning of data. Today's analytics practices typically extract data from various systems without any controls or metadata, and so the data scientist spends most of their time trying to work out what the data means. This is not only inefficient but extremely error prone. If we are to get value from the systematic use of analytics, we need to fundamentally rethink the way that data is managed, both within an organisation and across the data economy. In this talk, Mandy Chessell will cover a ground breaking project that is seeking to change the data industry by providing open and ubiquitous metadata management and governance across all data platforms and tools. This includes the technology under development, the initiatives to build the ecosystem as well as how you can get involved.

Professor Mandy Chessell

Mandy Chessell CBE FREng CEng FBCS is an IBM Distinguished Engineer, Master Inventor and Fellow of the Royal Academy of Engineering. Mandy is a trusted advisor to executives from large organisations, working with them to develop their strategy and architecture relating to the governance, integration and management of information. She is also driving IBM's strategic move to open metadata and governance through the Apache Atlas open source project.   
Mandy was identified in 2000 as one of MIT Technology Review's hundred young people most likely to make significant 21st Century technical innovation. She is also distinguished as the first woman to win a Royal Academy of Engineering Silver Medal.  Her early work focused on transaction processing, event management, business process management, information management and model-driven development.  The breadth of her work is reflected in her invention portfolio, which to date stands at over 50 issued patents worldwide.   More information about Mandy’s work and publications can be found on LinkedIn and her blog.

2.15pm Good analysis needs good data, and that needs good metadata3.00pm Question and Answer session3.30pm Refreshments 4.00pm Close

This event is free to attend, but please register by Wednesday 21 February 2018. 2018. For further information please email r.willis@bath.ac.uk or visit the IMI webpage. 

This event is part of the IMI Thematic Semester Machine Learning: Algorithms and Ethics and is arranged by both Institue for Mathematical Innovation and the Department of Computer Science at the University of Bath.         

Centre for Applied Autism Research Annual Lecture
5pm - 6:30pm

Centre for Applied Autism Research Annual Lecture

Are two heads better than one?
Dame Ute Frith and Professor Chris Frith

Abstract: Can groups of people really make better decisions than the best member of the group on their own? We will discuss research that suggests this is the case, under certain conditions. But what do we expect in the case of adults with autism? We hope to stimulate research on this topic by presenting a paradigm that has been tried and tested: two people have to detect a stimulus and have to come to a joined decision about when and where it occurred. This is compared with a situation where each individual makes their own decision. In previous experiments the secret of better joint decisions was found in the spontaneous alignment of confidence of the two partners. It would be interesting to find out whether autistic individuals also align their confidence. If so, this would throw light on their still little understood ability to imitate and to experience contagious empathy. We will discuss limitations of group decisions, including inappropriate alignment, and common biases that are hard to overcome.