Eugene, do I understand correctly that you and your local partners aim to recruit new mappers to OSM, who will not learn the "old fashioned" workflow of tracing stuff from imagery by hand, but be mainly taught to work with pre-processed Facebook road data?
How will you ensure that your partners give those new mappers a training that is good enough to know when to *not* trust the pre-processed AI data? All too often people automatically assume that "the computer is always right", and this would be especially the case in a mapathon setup where time is limited. Will local new recruits be taught to amend the raw machine-generated data with their own knowledge, like street names, road classification, surface...? I think that while it is good to have quality measures in place, recent experience with mapathons of all sorts have shown that quality assurance for newbie-contributed stuff takes approximately as many person-hours as contributing the stuff in the first place. How will you ensure that you do not generate more contributions than you can ensure the quality for? Bye Frederik -- Frederik Ramm ## eMail [email protected] ## N49°00'09" E008°23'33" _______________________________________________ talk mailing list [email protected] https://lists.openstreetmap.org/listinfo/talk
