February 23, 2021 to June 15, 2021
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.

In 2020, LIV.DAT started their Virtual Seminars on Data Intensive Science with guest speakers from the UK, Europe and the USA. With the new calendar year underway we are delighted to announce the next seminars in our LIV.DAT Virtual Seminar Series. 

The LIV.DAT Virtual Seminar Spring 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

SMC-Stan: A Scalable and Flexible Software tool for Better Bayesian Inference

Professor Simon Maskell 
Dept. of Electrical Engineering and Electronics, University of Liverpool

Tuesday 23 February 2021 at 13:00 (Europe/London)

More information...


Analysis of gravitational waveforms to better understand black holes

Professor Stephen Fairhurst
School of Physics and Astronomy, Cardiff University & Data Intensive CDT (Cardiff, Bristol, Swansea)

Tuesday 23 March 2021 at 15:00 (Europe/London)

More information...


Combining satellite data with ocean surface measurements: Sea Surface Temperature (SST) observations

Dr Anne O’Carroll 
Remote Sensing Scientist, EUMETSAT, Darmstadt (DE)

Tuesday 20 April 2021 at 13:00 (Europe/London)

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Machine learning the Universe: Opening the Pandora Box

Professor Shirley Ho 
Cosmology X Data Science Group, Flatiron Institute, New York (USA) & Department of Astrophysical Sciences, Princeton University (USA)

Tuesday 25 May 2021 at 15:00 (Europe/London)

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Applying data science methods to modernise transport and electricity infrastructures

Dr Myriam Neaimeh  
School of Engineering, Newcastle University & Data-Centric Engineering Group, Turing Institute

Tuesday 15 June 2021 at 13:00 (Europe/London)

More information...

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.

Registration for this event is currently open.