Page 1: Welcome

Hello! and welcome to the Farm Hack Survey 2020! 

This survey consists of four main parts and takes between 10 and 20 minutes to complete. Thank you for taking the time to do this for us - your contributions are extremely valuable!

Farm Hack first came to the UK in 2015 and since then there have been at least a dozen events. Among other things, these events have been about creating a community of collaborators to share knowledge and skills for a more just and sustainable food system in the UK. The purpose of this research is to find out what the impacts of the movement have been so far and what it could do to improve in the future.

Results from this survey will be shared among Farm Hack organisers to inform future event planning. Results will also be used to help draft a guide to putting on Farm Hacks which is planned for release before the end of 2020. Finally, findings may also contribute to a range of academic outputs on agroecological training and learning in the UK.

For every completed survey, Coventry University will make a donation of £5 to Farm Hack UK. This will be held by the LWA and used as a seed fund for future Farm Hacks. You are also invited to enter a prize draw to win £30 worth of LWA merchandise (for more details see the end of the survey)


This project is a collaboration between Farm Hack, the Landworkers Alliance (LWA), The Centre for Agroecology Water and Resilience (Coventry University), and Cardiff University (Sustainable Places Institute). 

Any personal data collected will be treated in the strictest confidence and in compliance with the General Data Protection Regulation (see below for full privacy notice). This research has also been reviewed and approved by Coventry University's Research Ethics Committee. For more information about this or any other aspect of the survey please contact chris.maughan@coventry.ac.uk


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Privacy notice:

All personal data collected through this survey will be held securely and anonymised six months after collection. Participation is voluntary and all participants are free to withdraw their data, without giving a reason, by contacting the lead researcher at any time.