OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
The Data Engineers meeting seeks to connect data wranglers and professionals in related data engineering roles across the University. This group aims to provide a platform for individuals to share their expertise and interests, fostering a sense of community and encouraging knowledge exchange across research teams.
While primarily designed for those working at the intersection of data generation and analysis – covering areas such as data collection, wrangling, modeling, visualization, and communication – the group is inclusive and open to all members of the University.
Please join us for the next Data Engineers meeting:
Date – Thursday 5 February 2025
Time: 11:00 – 12:00
Venue: BDI/OxPop Seminar room 0
Agenda:
11:00 – Introduction
11:05 – ‘Comparing various generative AI for extracting key information from long free texts and flag where conditions are met’
Dr Yurika Sakai, IDDO Data Manager, Centre for Tropical Medicine and Global Health, University of Oxford
11:25 – Q&A
11:30 – ‘Phenotypic and Genetic Data Analysis in Our Future Health’
Vincent Straub, Doctoral researcher at the Leverhulme Centre for Demographic Science in Oxford Population Health, University of Oxford
11:50 – Q&A
12:00 – Refreshments and networking in the atrium
Dr Yurika Sakai, Data Manager at the Infectious Diseases Data Observatory (IDDO), NDM
As a Data Manager, Yurika’s main focus is on the management and transformation of clinical, epidemiological, molecular and pharmacology data sets to ensure completeness and accuracy of data in the IDDO data repository. She also experiments with various generative AI to evaluate its accuracy and time efficiency on data extraction from long free texts.
Vincent Straub, Research Scholar for Our Future Health, DPhil Student in LCDS, NDPH
Vincent is a Research Scholar for Our Future Health and MSCA DPhil student in the Leverhulme Centre for Demographic Science, working with director Professor Melinda Mills and Professor Augustine Kong. His research spans population health and technology governance, with a focus on health risk behaviours and the use of AI in public settings.
To attend, please register: forms.office.com/e/SXub1krkBM?origin=lprLink
