Webinar: Transforming Town Centres & Local Development Through Effective Data Capture & Use
Matthew Hopkinson, Mairead Hunt, Paul McNaught and Marie Ward will be hosting a webinar on Friday, 30 May 2025 at 11.00am to share knowledge and develop ideas.
Monitoring and Evaluating the Changing Form and Function of Towns in Ireland
In 2024 we were pleased to win a project in Ireland to support the understanding of data relevant to towns and to test the ability to create an Understanding Irish Places model bas
Event: Evaluating the Changing Form and Function of Towns – 3 & 4 March 2025
Matthew Hopkinson will be at the Technological University Dublin to present at their Retail Symposium on 'Evaluating the Changing Form and Function of Towns'.
Merry Christmas from Didobi!
We would like to wish you all a happy and peaceful Christmas, and a happy and healthy New Year.
Data and Cyber Security in Life Sciences in partnership with Life Sciences Real Estate and Backbone Connect: White Paper
Join us for the launch of a new White Paper on Data Security and Cyber Security in Life Sciences Buildings
Didobi partners with Cagni Williams to deliver a Life Sciences feasibility study and masterplan for Universiti Putra Malaysia
Join us for the launch of a new White Paper on Data Security and Cyber Security in Life Sciences Buildings
Life Sciences Real Estate and Didobi Event: 24 October 2024
Join us for the launch of a new White Paper on Data Security and Cyber Security in Life Sciences Buildings
Data Security and Cyber Security in Life Sciences real estate
Didobi and Life Sciences Real Estate are carrying out research for a White Paper that we will publish at an event in October on Data Security and Cyber Security in Life Sciences re
Case Study: Isle of Man Government Town Audit
In November 2022, the Isle of Man Government launched their ‘Our Island, Our Future’ 10–15-year economic plan. It included aims to grow the population to 100,000 by 2037 and
Didobi commissioned to support The UCL Social Data Institute
Didobi commissioned to support The UCL Social Data Institute in research to improve the visibility of the 1.32 million night workers in London