[HOT] The evolution of humanitarian mapping within the OpenStreetMap community
Benjamin Herfort
herfort at uni-heidelberg.de
Mon Feb 8 16:54:43 UTC 2021
Hey Davey,
thanks for response and it's great to see that you find the paper
interesting. I really like your idea of having a another blog post
explaining the "behind the scenes" part of writing the paper. I think
that this would also be a great opportunity to reply to some of the
other feedback that I've received. I apologize in advance, that I might
need a bit more time to actually write that piece. But feel free to
remind me, when you don't see something in the next 2-3 weeks. ;)
One quick reply on the "metadata". Actually my personal opinion is that
ideally the Tasking Manager (and any other tool that we use) should
collect as few metadata as possible. Especially in the world of open
source and open data I think it is really important , that our community
can be free from tracking any personal information. So that's why I
actually do not have a wish list for this.
The questions you raise are definitely important and such an analysis
would be very interesting for the humanitarian mapping community in
general. However, again my personal feeling is that we need to find more
indirect ways to differentiate between OSM contributions by "locals" and
"non-locals". A student that works in our group has put together a blog
post, where he was trying to address the "localness" of OSM data:
http://k1z.blog.uni-heidelberg.de/2020/11/23/exploring-localness-of-osm-data-an-analysis-using-the-oshdb-and-ohsome-api/
Maybe this can provide some further ideas on how to do this.
Have a nice week,
Benni
PS: @Nicolas thanks for sharing the mail also on the hot-francophone list.
On 04.02.21 14:41, Davey Lovin wrote:
> Wow!!! 😍 Super impressive in-depth research you got there! To go from
> crunching raw OSM history files to extracting meaningful information
> from regression models to an actionable agenda for improving future
> humanitarian OSM initiatives, is no small feat and the analysis
> pipeline you've put forward is a huge step towards understanding the
> status quo and improving our work as a community. Bravo! 👏👏
>
> I wonder, is there any "wishlist" metadata the HOT tasking manager
> could collect on its users that would allow for more interesting
> angles on the analysis? Cataloguing which regions users consider
> themselves as a "local" comes to mind, as then we could understand how
> many map features are added by remote users vs locals
>
> Looking forward to checking out the source code when it's published!
> Especially that you went into detail to analyze the type of edits made
> in each changeset is really impressive. I for one would love to read a
> nice explanatory blog post about pulling off such a herculean feat of
> data extraction (I'm curious especially how many hours/days/computing
> power/€€ the analysis took)
>
> Viva la OSM!
> Davey
>
> ps Swaziland changed its official name
> <https://en.wikipedia.org/wiki/Eswatini> to eSwatini in 2018 but no
> worries
>
> On Thu, Feb 4, 2021 at 12:32 PM nicolas chavent
> <nicolas.chavent at gmail.com <mailto:nicolas.chavent at gmail.com>> wrote:
>
> Hello all,
>
> Thanks Benjamin for sharing this article and the wealth of
> resources/thinking that goes with it. I'll pass it to the
> hot-francophone mailing list so that it also reaches (with some
> help of Deepl-like tools) mappers active in these territories.
>
> Excellent day to you and all,
> Be well and stay safe,
> Best, Nicolas
>
> Le jeu. 4 févr. 2021 à 12:47, Benjamin Herfort
> <herfort at uni-heidelberg.de <mailto:herfort at uni-heidelberg.de>> a
> écrit :
>
> Dear Humanitarian OSM Community,
>
> today I wanted to share with you some very recent research
> findings that we've just published in the journal "Scientific
> Reports". The title of the article is "The evolution of
> humanitarian mapping within the OpenStreetMap Community" and I
> can ensure you that we tried really hard to provide a
> comprehensive and detailed picture on what many of us in this
> community have been working on for the past decade.
>
> This analysis encompasses all humanitarian mapping projects
> organized through the HOT Tasking Manager
> <https://tasks.hotosm.org/> since 2012 (start of the available
> data), enabling us — for the first time — to cast a
> longitudinal perspective on the intersecting effects of
> mapping efforts, socio-economic, and demographic characteristics.
>
> I also wrote a blog post which can give a quick summary of the
> main findings here:
> http://k1z.blog.uni-heidelberg.de/2021/02/04/the-evolution-of-humanitarian-mapping-within-the-openstreetmap-community/
>
> Here you find the full article:
> Herfort, B., Lautenbach, S., Porto de Albuquerque, J.,
> Anderson, J., Zipf, A.The evolution of humanitarian mapping
> within the OpenStreetMap community
> <https://www.nature.com/articles/s41598-021-82404-z>. /Sci
> Rep/ *11, *3037 (2021). DOI: 10.1038/s41598-021-82404-z
>
> I hope that our research can be of interest and relevance not
> only for academics, but for a broader and much more diverse
> group as the humanitarian OSM community is one and I'm curious
> to hear about your thoughts and ideas about it. So feel free
> to get in contact with me in case that there is something not
> clear or if you would just like to discuss your thoughts and
> ideas. (smile)
>
> Please note that our insights about humanitarian mapping in
> OSM only provide an incomplete picture which lacks an
> on-the-ground perspective and neglects other remote mapping
> tools, since we considered only the mapping that was organized
> through the HOT Tasking Manager. For instance, humanitarian
> mapping that has been organized by local residents on the
> ground is not considered here. This limitation is accompanied
> by the fact that our analysis only focused on two types of
> mapped objects (buildings, highways). As you know mapping in
> OSM comes with a much greater variety of potential map objects
> (e.g. health facilities, schools, water points), which can add
> particular value in comparison to other geographic data sets.
> We are aware of the fact that our definition of humanitarian
> mapping is therefore oversimplified and the results must be
> taken with a grain of salt. In many regions of the world there
> is no clear distinctive line between humanitarian and
> non-humanitarian mapping activities as the humanitarian and
> non-humanitarian OSM communities are not disjoint.
>
> For the ones of you that I do not know in person, here a short
> background on myself and why we did this research:
> I'm currently doing a PhD at Heidelberg University and are
> based at the Heidelberg Institute for Geoinformation
> Technology. I got interested in humanitarian mapping in OSM in
> 2013 when I attended a seminar by João Porto de Albuquerque
> (who is one of the co-authors of the paper) and the mapping in
> response to Typhoon Haiyan happened. Since then I've looked
> into various aspects of mapping in OSM and supported the
> Missing Maps project with developing MapSwipe, and general OSM
> analyses and stats. It was really great to see many of you in
> person at the HOT Summit and State of the Map in Heidelberg in
> 2019. This research mainly evolved out of these many
> discussions back then and many small analyses that I've
> conducted in the following and the again following discussions
> I had around these with João, Jennings, Sven and Alex. Some
> parts of it are also visualized on a website, which you can
> check here: https://humstats.heigit.org
>
> Have a nice week,
>
> Benni (Herfort)
>
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