About the Event 

High quality data science work must be reproducible. The ability to repeat experiments under reproducible conditions is the foundation of all science, and this principle should apply to code driven science as well. Creating and maintaining consistent environments allows for easier team collaboration (even if it's just you!) and project validation since your team will have a source of truth, documenting the project environment and its dependencies. This becomes critical when developing code to be rerun in the future for tasks like processing data updates or handling scheduled jobs such as reporting.

Our Speaker 

The talk will be delivered by Harry Peaker. Harry is a senior data scientist at Smart Data Foundry. He has a BSc in mathematics from the University of Edinburgh and a background in bioinformatics and the use of data science and statistics in healthcare. He has worked with research hospitals and clinical trial groups as well as conducting data-based quality assurance for the development of diagnostic devices. He has a particular interest in data visualisation and the development of dashboards or applications to communicate the results of data analysis.

When & Where   

The talk will take place online via Zoom on Thursday 13 March, from 13:30 to 14:30 (UK time), followed by a 30-minute Q&A session with the speaker. Participants will have the opportunity to submit questions before or during the talk, to be answered in the Q&A session. The talk will be recorded and later made available on the SSI website and YouTube channel.

Necessary Software

While not required, it is advisable to have access to either an R or Python coding environment, an IDE like RStudio, VSCode, Positron or Jupyter.

Who can attend

We are happy to invite all researchers working within the social sciences accross the UK, as well as all those interested in bettering their research software skills.

Further Questions

Please contact Andrzej Romaniuk (andrzej.romaniuk@ed.ac.uk) for any questions related to this and upcoming workshops.