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)
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)
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)
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)
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)
