I’ve decided to index some of the pieces which I have written on Open Data since 2011. As far as I know these are the ones that haven’t vanished into the ether of the web. This should allow me to
How does the Open Data Community share experience, knowledge, best practice, examples?
This was a session at SODU2020, the first Scottish Open Data Unconference that took place online 5th and 6th September 2020. The event, as an unconference, was generated by the attendees – with people proposing ideas for sessions which then
Weeknotes – 2019 – Wk 13
Museums, Galleries, Collections I gave a short presentation to our local museums and galleries service. I had fun exploring how data science could transform their work. We spoke through a few ideas including training ML models to transcribe handwritten records
Weeknotes – 2019 – Wks 11 and 12
A look back at two weeks of Data Fest 19 Fringe events in Aberdeen, and how these fit with the Data Together theme. Plus an inevitable update on my reading (Orwell again).
Weeknotes – 2019 – Wk10
Weeknotes Week 10. More rail problems, preparing for DataFest19, fixing #AirQuality with @AirAberdeen, reading Orwell, walking and photography.
Weeknotes – 2019 – Wk9
Data Fest 19 Plans for the Data Fest 19’s eight free fringe events in Aberdeen are coming along really well. Tickets are going quickly, and some events are already sold out. I am particularly looking forward to the Wikidata /
Weeknotes – 2019 – Wk8
Laucnhing an air quality sensor, creating slack groups, reviewing open data and reading a crime novel.
Weeknotes – 2019 – Wk7
This has been another busy week: three days with The Data Lab at the ‘day job’ and a mix of stuff over the other four. The Data Lab’s Data Fest 2019 programme, including the Fringe events in Aberdeen are all
Weeknotes – 2019 – Wk6
Having finished Revolt of the Public and the Crisis of Authority in the New Millennium by Martin Gurri at the end of last week, I started reading Life 3.0 Being Human in the age of AI by Max Tegmark. Both
Weeknotes – 2019 – Wk5
I had only one day working at the “day job” this week, instead of three, so there should have been loads of time to catch up on side projects, watch some tutorial videos, experiment, play with data. I’m really not