17 APR


Synthetic Data Generation Event

The second part of our Synthetic Data Hackathon will help you understand, brainstorm and produce synthetic data in your research field.

Arts Tower, University of Sheffield
17 Apr 2024 10 a.m. — 4 p.m.

We are hosting a Hackerthon around the topic of Synthetic Data. Following our "Introduction to Synthetic Data for Researchers" and the “Synthetic Data Scoping Workshop” last year we hope to bring together researchers and RSEs from across the N8. Linking all of our themes to understand, brainstorm and produce synthetic data in your field.

The Synthetic Data Hackathon event will be held in person to bring together teams from the scoping workshop as well as new attendees. The day will start with presentations from experts in synthetic data followed by an opportunity for attendees to present their interests and ideas to the group.

Teams will present ideas developed in the scoping workshop so newcomers can pick a team. The teams will then be guided through the process of creating synthetic data specific to their research. The aim being to create datasets and code that can be shared with their community.

3 speakers confirmed

  • Dr Venet Osmani (v.osmani@sheffield.ac.uk), Information School, University of Sheffield
  • Anthony Hughes (ajhughes3@sheffield.ac.uk), Department of Computer Science, University of Sheffield
  • Dr Mahnaz Arvaneh (m.arvaneh@sheffield.ac.uk), Department of Automatic Control and Systems Engineering, University of Sheffield

Recommended audience: Anyone from an N8 university (Durham, Lancaster, Leeds, Liverpool, Manchester, Newcastle, Sheffield, York) who is interested in understanding or potentially using synthetic data for research purposes. Researchers, RSEs and other DRI professionals will find this particularly useful. You do not need to have come to the previous events.

Prerequisites: There are no formal prerequisites for attendance, but users will get the most out of the code demonstration if they have:

  • Attend with some ideas of how synthetic data might be useful to their work. We recommend watching the previous workshop video here: https://www.youtube.com/live/SbCYxChji_w?si=hbB0yjG_c5yhtjWA
  • Access to a computer with python installed or to an online python environment,
  • At least basic python competency (e.g. should know how to load packages, read in data, assign variables, write data out to a .csv, etc.).

In partnership with:

Sheffield Data Connect Logo

Sheffield Data Connect Logo



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