Crowd2Map is a volunteer run mapping project that has been mapping rural Tanzania since 2015, particularly to help protect girls from Female Genital Mutilation (FGM). Since then, Crowd2Map have recruited over 1,300 online volunteers and 200 local mappers, and mapped over 1.1 million buildings and 64,000 km of roads and tracks. This has all been done on zero budget. Better maps in Serengeti have helped the number of girls being cut drop from 3700 last year to 1076 this, and the number of girls dying from 12 to 4.
This year, Crowd2Map are also very excited to be awarded a HOT Microgrant, which they are using to train village level Community Change Agents in 4 different areas of rural Tanzania. During the webinar, Janet will share the planning for this project, the barriers and enablers we have identified so far, and seek advice from the HOT community.
Humanitarian Openstreetmap Community Webinar on Mapping to End FGM in Tanzania
1. USING LOCAL & SATELLITE MAPPING TO MAP RURAL TANZANIA
& HELP PREVENT FGM - CROWD2MAP TANZANIA
Janet Chapman
j.chapman@tanzdevtrust.org
2. WE’RE MAPPING RURAL TANZANIA. WHY?
• The remote villages where TDT works are EXTREMELY
poorly mapped.
• Local officials lack maps of their area.
• This makes navigation and planning difficult.
• We are mapping onto Openstreetmap that is
accessible to everyone online and on phones.
3. WE’RE MAPPING RURAL TANZANIA. WHY?
• Much of rural Tanzania is blank in Google Maps and Openstreetmap.
MOST RURAL TANZANIA LOOKED LIKE
THIS WHEN WE STARTED - AND MUCH OF
IT STILL DOES..
Zeze village, Kigoma,
population 8200, 2015
4. WE’RE MAPPING RURAL
TANZANIA. WHY?
LOCAL MAPPERS ADDED POINTS OF
INTEREST, CHURCHES, SHOPS,
SCHOOLS, WATER POINTS USING
MAPS.ME ON PHONES…
REMOTE MAPPERS ADDED ROADS
AND BUILDINGS (TASK 1069 –
THANKS PETE!)…
5. INITIAL FOCUS: FIGHTING FEMALE GENITAL MUTILATION IN MUGUMU, SERENGETI
Tanzania Development Trust’s largest project is a Safe House
for girls refusing Female Genital Mutilation, run by FGM
survivor Rhobi Samwelly. She visits the villages around
Mugumu to tell girls about the Safe House and the dangers
of FGM. This work was hampered by the lack of maps
showing the location of the villages.
6. MAPPING ON MAPS.ME
When Maps.Me released
version that allowed
users to add points
directly to OSM we
started training local
11. REMOTE VILLAGES ARE STILL MISSING FROM MAPS …
Set up Facebook group to post questions
to local mappers
12. SATELLITE MAPPING VIA HOT TASK MANAGER /project/1788
http://tasks.hotosm.org/
project/1788#
Now 99% mapped, 91%
validated – (thanks
Sophie!)
https://vimeo.com/199314736
13. SATELLITE MAPPING VIA HOT TASK MANAGER /project/1788
Online volunteers trace
roads and villages from
satellite images.
Recent release of Digital
Globe imagery very
helpful.
14. SATELLITE MAPPING EVENTS BY VOLUNTEERS
Launched Crowd2Map
with triple mapping
party in London,
Vilnius and Dar es
Salaam:
Ramani Huria
volunteers mapping
Mugumu on May 7th
2016 in Dar es Salaam.
15. MUGUMU SAFE HOUSE GIRLS ENGAGING IN MAPPING THEMSELVES
Rhobi and some of the girls at the Safe House mapping in
OSM on May 7th after initial training when I visited.
17. TRANSFERRING GOV OPEN DATA TO OSM
Over 600 online
volunteers manually
added schools and
clinics.
18. BUILDING COMMUNITY - SLACK CHANNEL
Slack channel is good for
generating a community, and
for volunteers to ask
questions etc. – if anyone
would like to join please let
me know!
19. BUILDING COMMUNITY – MAILCHIMP EMAILS
Monthly emails to volunteers
to tell them about progress,
events etc.
20. WINS
• Mugumu Safe House able to reach more
girls in Mara via
Discovery of remote villages
Reaching remote villages (limited
roads, bridges, issues in rainy
season)
Fuel planning
Better maps will eventually help
girls reach the Safe House on their
own
“We’re reaching places that we’ve never reached before”
21. WHAT WE’VE ACHIEVED..
• We’ve now recruited over 1500 online volunteers and
199 local mappers.
• mapped an area of over 16,248 square kilometres,
added 5 towns and 175 villages and hamlets.
• added over 62,128 km of roads and tracks and over a
million buildings..
• Countrywide we have added 12,294 schools and 162
clinics to Openstreetmap from government open
data.
22.
23. EFFECT ON FGM
Having better maps helped
• prevent 2257 girls from being cut this year.
However change is a slow process.
• 1076 girls were still cut in Mara, down from
3700 the previous year,
• and 4 girls died, down from 12 last year.
24. PEACE CORPS
Trained 50 Peace
Corps Volunteers
on using Maps.Me
to map their
villages via Skype,
May 12th and 13th
25. AWARDED HUMANITARIAN OPENSTREETMAP MICROGRANT
Grant of $5000 to
• buy 48 smartphones,
• train village level community change agents in 4
areas of Tanzania, and
• generate village and ward level maps and data,
particularly around access to water, health
facilities and land rights.
Any advice appreciated!
26. COMMUNITY MAPPING PLANNING DASHBOARD
Dashboard set up by Gabor
Bakos
http://www.fragosus.pe.hu/J
anet/dashboard.htm
27. MAPSWIPE – PHONE APP TO IDENTIFY AREAS WITH BUILDINGS
Using Mapswipe phone app to identify
areas that had buildings and so
needed mapping before putting task
on Tasking Manager reduced the time
taken.
http://tasks.hotosm.org/project/2578
28. ORIGINAL MAPPING PLAN
Use Maps.Me to map:
• Village Office
• Schools
• Dispensaries/health centres/hospitals
• Water points
• Mpesa shops
• Legal office
• Churches
• Police stations
• Shops
• FGM Activist Houses
29. AFTER DISCUSSIONS WITH LEGAL OFFICERS IN MASWA YESTERDAY
They also want to collect data on:
• Child labour positions
• Girls hostels
• Number of children in village with disabilities
• Whether they are in school
• What support they get
• School infrastructure
• toilets,
• water supply,
• teachers’ houses
30. CODING HELP REQUEST
1. Clustering buildings into residential areas / villages.
2. Import of high quality / high accuracy curated datasets, e.g.
from academic institutions.
3. Android apps to support mapping in the field for users who
are unfamiliar with smart phones, eg to monitor GPS accuracy
Whatever we do, and whatever we find, will be shared with the
community, through blog posts, documentation on the OSM
wiki, etc. We’ll take care of that, but would like to find volunteers
who can help with the technical aspects.
Please contact Bjoern Hassler bjohas (at) gmail.com if interested
31. STATE OF THE MAP - JAPAN
Egle will present on impact of mapping on fighting FGM
* qualitative study - interviews and narratives from the
affected communities (edited)
* qualitative interpretation of the GIS visualizations
generated during the Summer of Maps
* quantitative study of multisource data sources
concerning FGM
33. SUMMER OF MAPS INTERN JIANTING ZHAO
Past work:
• Analyzed and presented crime incidence
likelihood in Chicago, USA using logistic
regression and ArcGIS
• Measured healthy food accessibility in
Philadelphia, USA using ArcGIS
• Predicted historic buildings demolition
probability in Philadelphia
Will be looking at impact of mapping on FGM
Contact Info: zhao.jianting912@gmail.com
what’sApp: 608-609-3512
34. HOW YOU CAN HELP..
• Access to smartphones is the limiting factor, so if you have any unwanted
phones we can make very good use of them..
• And/or ideas about funding sources!
• Any comments, questions or suggestions always welcome.
• Thank you!
• Janet j.chapman@tanzdevtrust.org @crowd2map
• Egle emramanauskaite@gmail.com
crowd2map.org
Hinweis der Redaktion
Sometime hand drawn map on wall, often not. Getting lost driving through rivers in the rain. Asked local reps to draw map of where village was, they couldn’t
Points added in OSM and Maps.Me
Rhobi at a roadshow against FGM in a village near Mugumu. Challenge in outreach in villages, no maps
Moved to maps.me
Tried OSMAND, but difficult for novice users
Maps me brilliant now you can add points, but list not that suitable for rural Africa..
Maps me brilliant now you can add points, but list not that suitable for rural Africa..
say more on Mapping competition how much are people contributing
EMR: how many people? How well are they engaging? Are the points accurate? Reliable ?
Via Facebook, Whats app
Set up project on HOT for area around Mugumu,
Set up project on HOT for area around Mugumu,
EMR: prepare for Qs about open data. Where did you get it from? Was it government-collected? Are you sure it is usable? Did you consider importing it straight to OSM (not manual)? Is that all the data you got? How recent is it? Are you still accessing other open data from elshwere ?
Over 900 volunteers largely through UN online volunteers, regular contact via email.
It is possible to automatically cluster buildings into residential areas / villages according to some rule set. So you might say if there are “more than 10 buildings no more than 50m from each other" then create an outline - more technically a convex hull, and mark that as residential area. Such a rule set would give you some "definites" - but we need to get the software in place, and need to determine the rule set.
There will be cases that would need to be checked manually / referred to crowd sourcing. So how do we extract those cases, and what crowd sourcing tools can we use to fix those?
With Bjoern Hassler from Cambridge University, I’ve been talking to Chris Grundy at LSHTM about academic (high accuracy) datasets they have available, that are CC / public domain and thus available for OSM. We’d like to develop an automated process that imports these data sets. The challenge is to check for existing data points, and the algorithm would need to check whether a village already exists nearby the new data point, and take action on that basis. Again, there'll be some definites, but also some cases that would need to be checked manually. Again, we'd love to work with a volunteer.