[ML4OSM] hot_tech is running and AI assisted mapping study
Guadalupe Arroyo
stormie.arroyo at gmail.com
Fri Feb 5 03:46:30 UTC 2021
Hey Bo,
I’m so excited this is happening! The link attached requires permission for
me to fill. Thank you for including me.
Best Regards,
Guadalupe Arroyo
On Thu, Feb 4, 2021 at 4:00 AM Bo Percival <bo.percival at hotosm.org> wrote:
> ---
>
> tldr; hot_tech is running and AI assisted mapping study
>
> read: 5m | action: 5m
>
> Call to action: please sign up to participate
> <https://forms.gle/wVBzSFTgWpvHpX9k8> or share with your networks
>
> best before: Feb 20
>
> ---
>
> Hi all,
>
> Over the past few months HOT has been working in partnership with NESTA
> Collective Intelligence grants and 510 at the Netherlands Red Cross to
> implement an experiment to test the efficiency and efficacy of AI
> assistance on remote mapping of buildings.
>
> The experiment is designed to compare the results of traditional remote
> mapping workflows (editing in ID Editor) with emerging AI assisted
> workflows (editing with RapID). To do this, we will be conducting mapping
> experiments of two locations (Uganda and US), with two different levels of
> mappers (beginner and advanced) using the two different remote mapping
> workflows (RapID and ID).
>
> To this end, we are looking to run four experimental groups with > 50
> people each, as follows:
>
> _Beginner Mapathon - Uganda data
>
> _Beginner Mapathon - US data
>
> _Advanced Mapathon - Uganda data
>
> _ Advanced Mapathon - US data
>
> Each mapathon will be a total of two hours, with participants being
> randomly assigned to map building footprints with either ID or RapID prior
> to beginning their mapping. Data will be gathered on the existence of map
> features, completeness of mapped features and similarity of map features,
> when compared with an OSM reference dataset.
>
> For the mapathons, we will be using convenience sampling from our networks
> by generating a public call for participants.
>
> You can sign up to participate in the experiment here >
> <https://forms.gle/kCajeRCb6bvbNRBG7>
>
> Kindness,
>
> bo
>
> --
> *Bo Percival*
> Director of Technology Innovation
> bo.percival at hotosm.org
> @bopercival
> CET online hours
>
> *Humanitarian OpenStreetMap Team*
> *Using OpenStreetMap for Humanitarian Response & Economic Development*
> web <http://hotosm.org/> | twitter <https://twitter.com/hotosm> | facebook
> <https://www.facebook.com/hotosm> | donate <https://hotosm.org/donate>
> --
> machine-learning mailing list
> machine-learning at openstreetmap.org
> https://lists.openstreetmap.org/listinfo/machine-learning
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.openstreetmap.org/pipermail/machine-learning/attachments/20210204/52ca9c0e/attachment.htm>
More information about the machine-learning
mailing list