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@PaulUithol
Businessmodelsfordigital‘commons’inthehumanitariansector:
TaskingManager&HOTcoretooling
Wedeveloparangeoftools&techaroundmaps
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Imageryservices&hosting- OpenAerialMap
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https://openaerialmap.org/
Remotemapping- TaskingManager
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http://tasks.hotosm.org/
Remotemapping- TaskingManager
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http://tasks.hotosm.org/
Datauseandanalysis– ExportTool&HDXbridge
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http://export.hotosm.org/en/,https://data.humdata.org/organization/hot
CaseStudy:mapathonatAccenture
24hourGlobalMapathonwithemployeesfrom42citiesadding230,000+peopleto
themapWatch:https://youtu.be/tHr6Pf4W_gg
Generalstrategies
■ Opendataandopensourcebydefault■ Builtontopof,andsupplementing,theworkofthe
OpenStreetMapFoundation,contributors&volunteers(core,API,Overpass,iD,JOSM,etc)
■ Astransparentandopenaswecanbe(wehaveaveryinvestedandvocalcommunity– whichisamazing)
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Community
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International staff: 23
National staff: 60
Voting Members: 131
Remote and Local Community volunteers: 140,000+
Centralised NGO structureOpen Source Community
Usage
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■ 200,000‘actions’acrosscoreHOTtoolsinSeptember2018■ TaskingManagerprojectsin50+countries■ Majorityforavarietyofpartners,partlyinsupportofourfieldteams
Uganda
Tanzania
Botswana
Liberia
Ghana Zambia
Turkey
Guatemala
Indonesia
Aruba
Partnershipsarecriticaltooursuccess
No aspect of our work happens in isolation - we are reliant on partners in every step
HOT Mapping process: OpenStreetMap involved throughout
1 IdentifytheneedWherearethetopprioritiesformapping?
PartnersNGOs,UNagencies,governments,communities
2 Acquireimageryidentifyinghighestqualitymostrecentsatelliteimageryavailable
PartnersDigitalGlobe,Bing,ESRI,Mapbox,USgovernment,dronecommunity
3 TasksetupSettingupmappingtasksinTaskingManager
PartnersAmazonWebServices(hostingsupport)andcommunityvolunteers
4 MappingVolunteersmapTaskingManagertasks
PartnersCorporates,universities,OpenStreetMapFoundation,communityvolunteergroups
5 ValidationExperiencedvolunteersorstaffvalidatethedataproducedtoensurequalityisreadyforfieldprojects
PartnersUniversities,communityvolunteergroups- tryingtoaddcorporates
6 CommunitymappingThroughHOTfieldprogramsorlocalvolunteersaddextradatae.g.streetnames,hospitals,schools,sanitation
PartnersRangeofGrant-makerswhofundfieldprograms,fundersforMicrogrants&DeviceGrants
7 DatauseSupportfieldstafftousethedataoperationallytoinformprogrammingandtakebetterdecisions
PartnersNGOs,UNAgencies,governments
MissingMaps
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http://www.missingmaps.org/
Members:
Founders:
Challenges
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Technology: choosing and developing the ‘right’ direction
of change, while hosting a stable product
Communications: constant requests on many channels and
a need to streamline - Slack, Github
Funding - ongoing: stability, maintenance and ops costs.
Very difficult to ‘price’ things in an open community, but need funding to maintain and run
Funding - innovation:need to adapt and respond
to new developments in Machine Learning
Stakeholders: huge volume of requirements
from different organisations, but also community - how to
prioritize these
Fundingstreams:howdowesupportthis?
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1 Grants - majority from ‘traditional’ funders e.g. USAID, and government partnerships
2 Missing Maps - NGO networks leveraging the tooling make small contributions from their corporate fundraising
3 Corporate partnerships - shared value partnerships, designed around
- Pro bono support and collaboration on tech/development
- Large volume of mapping volunteering
- Financial support
4 Individual donations - not a huge proportion of our fundraising, however provide critical funding to sustain our community microgrants program (now in it’s third year -hotosm.org/donate)
CaseStudy:Salesforce
In2018,Salesforce&HOThavecollaboratedto:■Engage3,000employeesinmappingasavolunteeringopportunity(8%oforganisation)■Map430,000buildingsand10,500kmofroads■SupportedrefugeeresponseforgovernmentandUNHCRinUganda,medicalprogramsforMSFinCongo,andRedCrossprogramminginMyanmarandNigeria.■Organisedthrough:■Annual‘GlobalVolunteeringMonth’with30+mapathons■Regularsupportforglobalvolunteeringteams■Organisedaroundspecificcampaignse.g.refugeecrisis,disastermapping,supportforspecificorganisations
Maps being created by Salesforce volunteers
And used by field teams surveying in Uganda
Areasofdevelopment
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TrainingCorporatepartnershipsworkthroughaTraintheTrainermodel,butneedtokeepmakingimprovementstoensuredataquality- ifaneventleadisunprepared,theytrainotherstocreatealotofbaddata
ValidationIncreasinglytryingtotraincorporatemappersasvalidatorssotheycanbegintovalidatetheirownmapping,butnotyetachievedatscale
AwarenessAsthebarriertosetupamapathonisverylow,ofteneventshappenwhichwedon’tknowabout,andretrospectivelyneedtoprovideinformationon(e.g.trackingamountmapped)
InnovationWeneedtoadapttoanewsetoftoolswhichwillincreaseeffectivenessandspeedofmapping- butwhatwilltheroleofthevolunteerbe?
Jointheconversation
OngoingworkontheTaskingManager
■Github- https://github.com/hotosm/tasking-manager
■ DiscussionsaroundML-https://github.com/hotosm/tasking-manager/wiki/ML4TM
■ http://slack.hotosm.org/
■ GeneralTMdev- #tasking_manager_3channel
■ML- #ml4tmchannel
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