19 October 2021 to 8 March 2022
Zoom Webinar
Europe/London timezone

The amount of digital data that exists in the world is growing at a rapid rate. Recent years have witnessed a dramatic increase of data in many fields of science and engineering, due to the advancement of sensors, mobile devices, biotechnology, digital communication, and internet applications. Data is generated continuously from multiple sources by companies, users and devices in a huge velocity, volume and variety.

Big data refers to data that is so large that it cannot be processed by using traditional applications. Although significant computer technology exists, new skills are needed to fully understand the power of Big Data. Targeted training in managing, analysing, and interpreting large, complex datasets and high rates of dataflow is provided by the Liverpool Big Data Science (LIV.DAT) Centre for Doctoral Training. The PhD students in the Centre are working on research projects that involve large datasets, from Astrophysics, nuclear and particle physics to accelerator science.

The LIV.DAT Virtual Seminar Autumn Series on Data Intensive Science will cover R&D outside of our centre’s core research areas and give an insight into cutting edge research in this area.

Prof Dr Carsten P Welsch, LIV.DAT Director


Deep Reinforcement Learning for Multi-Agent Interaction

Dr Stefano V.  Albrecht 
Head of the Autonomous Agents Research Group, University of Edinburgh

Tuesday 19 October 2021 at 13:00 GMT

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Modeling, testing, and adaptive experimental design in high-throughput cancer drug screens

Dr Wesley Tansey
Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center (USA)

Tuesday 7 December 2021 at 15:00 GMT

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Is education AI-ready

Professor Rose Luckin 
Learner Centred Design, University College London Knowledge Lab

new date: Tuesday 8 March 2022 at 13:00 GMT

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Starts
Ends
Europe/London
Zoom Webinar

Participation is free of charge. Please register to receive connection details for these seminars.

The connection details will be sent out at the morning of the talks.