monitoring and evaluation of wash in partnership with local communities with a free software model
DESCRIPTION
Presented by John Feighery, co-founder of mWater.co at UNC Water and Health 2014: Shared Measurement Systems and Closing the Feedback Loop: What can/should be done with the data? Convened by Millennium Water Alliance & The FEMSA FoundationTRANSCRIPT
Monitoring and evaluation of WASH in partnership with local
communities with a free software model
John Feighery / [email protected] / @rocketboy76www.mWater.co
Presented at UNC Water and Health 2014:Shared Measurement Systems and Closing the Feedback Loop:
What can/should be done with the data?Convened by Millennium Water Alliance & The FEMSA Foundation
Overview
The status quo in ICT-enabled M&E
Roadblocks to local-led and shared
efforts
Free software platform as an
alternative
Examples of early results
Next steps
the status quo
Emerging from ICT as an intervention toward integrated ICT in M&E
M&E is event-driven rather than ongoing
Large databases of static data created through one-time efforts
Open data ≠ useful dataImage credit: Don Shall
roadblocks to local-led data collection
Zero capacity to pay for monthly/annual fees, IT consultants and training
Many different devices, including older smartphones, tablets and laptops
Lack of tools to easily update data collected
alternative: a free platform model
Single cloud-based platformNo setup needed = no consultants!Groups for managing permissions and privacy (google docs model)
Free software modelInvestors pay to build the featuresAll features free, revenue through customization, training and priority support
Monitoring system can be turned over to local organizations at end of project
global, shared database of sites
Some resultsMwanza, Tanzania: Health workers, utility workers, regional water quality lab collaborating on monitoring water quality in peri urban neighborhoods
Outcome: Mwanza government shifted policy away from shallow dug well construction in city
limits
Some resultsEkiti State, Nigeria: community-based crowdseeds collect HH surveys, water quality and GPS water fetching data
Outcome: 1000 gender-disaggregated surveys in 3 weeks after just 3 days of training
the best part...
many organizations are now using mWater completely on their own, without our support
Next steps
Overlay and easy import of existing datasets (e.g. DHS API)
Single use apps: e.g. ebola.broadst.org
Multiple Data Sources Performance IndicatorsSite
Indicators and packaged analysisShared library of WASH indicators connected to standard survey questions and analysis functions
Indicators -> surveys (not backwards)
Organizations can share indicators in transparent way without exposing raw data
Thank you! Questions?
mWater investors:
John Feighery / [email protected]
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