The Data Science Campus seminar series is a friendly and informal space for the Office for National Statistics (ONS) and cross-government data science community. The seminars aim to highlight cutting–edge data science techniques, discuss projects and reflect on the challenges within data science.
We host speakers from across the ONS, other government departments, academia, industry and more. A list of previous speakers is available this page.
The seminars will run once a month at 2pm on Microsoft Teams. Seminars will be followed by a time of discussion.
If you would like to present at the Seminar Series, please contact the Data Science Campus, with “Data Science Seminar Series” in the title, an abstract of your talk and a short bio.
You can register for upcoming seminars using Eventbrite.
|20 April 2021||Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty.||Dr Özgür Şimşek, University of Bath|
|5 May 2021||
Mapping vulnerability in a pandemic
|Mike Page and Dr Matt Thomas, British Red Cross|
|11 May 2021||TBC||
Alice Piterova, AI for Good
Presentation slides from some previous seminars are available by contacting the Data Science Campus.
|16 March 2021||Recomp sustained value extraction from analytics by recurring, selective re-computation.||Professor Paolo Missier, Newcastle University|
|24 February 2021||Dark Data: Why What You Don’t Know Matters||Professor David Hand, Imperial College, London|
|17 February 2020||Network Time Series||Guy Nason|
|26 February 2020||A few consultancy studies by Geolytix||Neil Farricker and Christoph Mulligann|
|30 January 2020||Managing Gender Change Information on Immutable Blockchain within GDPR||Imtiaz Khan|
|11 December 2019||Intro to Complexity Science and Complexity Economics||Tom Wilkinson|
|4 December 2019||Using alternative data sources to produce consumer price indices||Liam Greenhough and Lefteris Karachalias|
|6 November 2019||Some applications for Spatial Network Analysis: transport, accessibility, health, communities, economics and classification of regions||Dr Crispin Cooper|
|23 October 2019||Conception X Entrepreneurship Programme: Turning PhDs into Venture Scientists during their Degree||Dr Riam Kanso, CEO of
|9 October 2019||Outlier Detection for Census||Frantisek Hajnovic and Alessandra Sozzi, Office for National Statistics|
|25 September 2019||Unlocking Potential – Exploring Talent Management in the Data Science Campus||Alison Adams, ONS Data Science Campus|
|17 July 2019||Using Machine Learning to predict survey variables onto an admin dataset||Emily Tew, ONS Data Science Campus|
|3 July 2019||Faster indicators – an example from Public Health||Roger Morbey, Public Health England|
|19 June 2019||Making text count for Macroeconomics: Insights from High Frequency, Naturally Occurring Big Data||Arthur Turrell, Bank of England|
|22 May 2019||Building Skills for DAP||Isabela Breton|
|15 May 2019||How complexity and big data can resolve the crisis in economics||Doyne Farmer, Institute for New Economic Thinking, Oxford Martin School|
|26 April 2019||Accelerating Digital Health Sciences through Advanced Informatics and Analytics for Clinical Excellence (ADVANCE)||Hongfang Liu, Mayo Clinic, USA|
|10 April 2019||bibInsight: Making sense of research, and planning for the future||Karen Tingay, Swansea University|
|27 March 2019||Evolutionary dataset optimisation: learning algorithm quality through evolution||Henry Wilde, Cardiff University|
|26 March 2019||Casting Vector Time Series: Forecasting, Imputation, and Signal Extraction In the Context of Big Data||Tucker McElroy, US Census Bureau|
|20 March 2019||IT Infrastructure for a Data Science Campus||David Pugh and Craig Pritchard, ONS Data Science Campus|
|14 March 2019||AI and Business development at Stena Line||Lars Carlsson, Head of AI at Stena Line|
|30 January 2019||Analytics applications to financial regulation||Isobel Seabrook and Marek Biernacki, Financial Conduct Authority|
|22 January 2019||Using Deep Learning for automatic identification of non-agricultural land covers in parcels from aerial photographs and radio frequency interference noise locations on sentinel-1 radar images||Sanjay Rana, Rural Payments Agency|
|16 January 2019||Optimus – turning free text lists into hierarchical data||Gareth Clews, Senior Data Scientist, ONS Data Science Campus|