Events / ONS: DataScience@work seminar

ONS: DataScience@work seminar

12th July 2024
14:00 - 16:00
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Fry Building, Fry Building, Woodland Road, Bristol BS8 1UG

Dr. Tim Green, a data scientist at the Office for National Statistics Data Science Campus, delivered an insightful talk on the diverse projects undertaken by the campus. He discussed past and ongoing work applying data science to social policy and international development, including ship traffic analysis in key maritime passages, privacy-preserving record linkage, and transformation of Ghana’s statistical service. The seminar highlighted the campus’s role in using data science to tackle global challenges and develop innovative solutions for societal issues.

                  • Codie Wood, Compass CDT cohort 4

Speaker: Dr Timothy Green, Data Scientist, Data Science Campus, Office for National Statistics

www.ons.gov.uk | datasciencecampus.ons.gov.uk 

The Office for National Statistics is the UK’s largest independent producer of official statistics and the recognised national statistical institute of the UK. Our main responsibilities are collecting, analysing and disseminating statistics about the UK’s economy, society and population.
At the Data Science Campus, we apply data science, and build skills, for public good across the UK and internationally. Our focus is to investigate the use of new data sources and data science tools, methods and practices to create new understanding and improve decision-making for public good.
In this seminar I will give an overview of the broad variety of work done across the Data Science Campus and discuss some of my past and active work in applying data science in social policy and international development.
Dr Timothy Green has a background in physics, with a PhD in Observational Astrophysics, where he studied the properties of the giant galaxies in the centre of clusters of galaxies. He has since worked at the British Council, introducing the teaching of coding into public libraries in Bangladesh, before joining the ONS Data Science Campus, as a data scientist, in 2021.

Schedule:

  • 2.00 – 3.00pm Seminar + Q&A (Rm. G.07, Fry Building)
  • 3.00 – 4.00pm Networking session (Common Room, Fry Building)