[ML4OSM] hot_tech is running and AI assisted mapping study

[Bo Percival]

Oooo thanks so much for picking that up!

I will adjust now.

Kindness,

Bo

On Fri, 5 Feb 2021 at 14:47, Guadalupe Arroyo <stormie.arroyo at gmail.com>
wrote:

> 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> |
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>> <https://hotosm.org/donate>
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>>
> --
> machine-learning mailing list
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>
-- 
*Bo Percival*
Director of Technology Innovation
bo.percival at hotosm.org
@bopercival
CET online hours

*I'm sending this at a time that works for me, standing by for a time that
works for you.*

*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>
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