Predictions 2022

Thanks to Louis Maniquet

Another year passes with a record low of blog posts. My excuse/explanation is that Ed Freyfogle and I have put a lot of time into the Geomob Podcast – over 50 conversations this year including OpenStreetMap, Earth Observation, the Locus Charter, cartography and map based art, marketing, open source, interviewing several book authors, drones, neogeography (remember that?), hobby projects, products and politics – phew that really is a lot isn’t it?

In December 2020 we recorded a Christmas Special with a several of our interviewees, as part of that episode they made predictions for what might happen in 2021, purely for fun as none of us expected the predictions to be accurate. You can read the list of 2021 predictions and then listen to this year’s Christmas Roast episode and the follow up Christmas Pudding episode to hear how our friends wriggled out of their mis-predictions and to hear their thoughts for the coming year.

To make it easier for me to ridicule their pitiful efforts at crystal ballery, here is a summary of their predictions for 2022.

  • Denise McKenzie: more data regulation, sharper focus on data governance
  • Ed Parsons: recognition that we don’t have the data we need for the metaverse
  • Mark Iliffe:
    – more commoditisation of geospatial (cites the example of Excel)
    – whatever Ed P says will be wrong
  • Steven Feldman:
    – An in-person Geomob in a new city!
    – Geounicorn event (a geo business going public or selling for over $1bn
    – all the “action” will be in remote sensing. Look to the skies!
  • Alex Wrottesley:
    Much more effort from organizations trying to find tools and datasets to
    try to make sense of environmental guidance and targets around climate change.
    Specifically energy performance, verification of compliance with targets,
    the natural environment, etc. Big need for better understanding and tools in
    this space.
  • Ed Freyfogle: More innovation around delivery services, courier services
  • Ken Field:
    – decline of data dashboards
    – a new term for “data scientists”
    – increase in the use of Natural Language Processing
  • Jeremy Morley: more focus on the robustness of GNSS and location system timing

I have one further prediction to make – when we get together in December 2022 all of my mates (and I) will be saying something along the lines of “well it sort of happened, it’s just taking a bit longer than a year”

Happy new year everyone