Data Science

As the the mountain of raw data gathered grows more vast every day the questions of how to deal with it intelligently, effectively and sensitively grow more urgent. Where is the value in data, how can it be unlocked; where are the business opportunities; how will data change urban infrastructure, workplaces, decision making...?

The CETC welcomes several experts in data science for a discussion of how value can be created from data, be it for intelligent transport systems, to advance the understanding of history or to foster digital entrepreneurship.

Speakers:

Daniela Florea, Geo Strategies

A pioneer of data-driven business intelligence, Daniela led a data gathering project that mapped the geographic data infrastructure for 25 countries in post-communist CE Europe, long before spatial information became generally available. Her company Geo Strategies provides intelligent information, data quality and analytic processes (about location, consumers and markets) to support strategy and decision making of clients in the banking, insurance, retail, property and telecommunications sectors.

She chairs a working group within the EC Strategy Forum on Digital Entrepreneurship and is an Entrepreneur in Residence at the Anglia Ruskin International Business School.

Dr Soodamani Ramalingam, Senior Lecturer in Microelectronics and Intelligent Systems Group, School of Engineering and Technology, University of Hertfordshire.

She is also the Research Cluster Leader in Computer Vision and Machine Intelligence.  Her research interests include Computer Vision, Machine Learning, Soft Computing, Biometrics, 3D Vision Systems for Biometric Applications, Automatic Number Plate Recognition (ANPR), 3D Face Recognition, and Security.  Her current areas of research include Big Data Analytics, Deep Learning, and Intelligent Transport Systems.

Tim Valder-Hogg, IT Services, Queen Mary University London

Tim has wide ranging experience in IT that covers several areas, including server management, application delivery and support, customer support, databases and data visualisation. Tim is also chair of the Waltham Forest Family History Society and contributes his IT expertise to a number of projects that involve analysing, visualising and interpreting data sets, among them digitising local data for historical research, such as parish registers and early census data.

This work covers a wide range of activities, e.g. optical character recognition (OCR), database management and cataloguing, the analysis of geospatial data, and a keen awareness and interest in the human factors that are connected with the accessibility of  data-sets.