1. Awards for Remote Mobile Data Collection Work
At the Humanitarian Technology 2016 conference, our paper Knowing Just in Time ‘Knowing Just in Time’ won Best Paper for Outstanding Impact. In the paper, we assessed mVAM’s contribution to decision-making by looking at use cases for mVAM in camps, conflict settings and vulnerable geographies. Check out our blog Tech for Humanity for more on it and our other conference paper mVAM: a New Contribution to the Information Ecology of Humanitarian Work
To close the year, we had a nice surprise from Nominet Trust, the UK’s leading tech for good funder. We made their 100 most inspiring social innovations using digital technology to drive social change around the world.
2. New Tech
We’re also in the era of Big Data. We partnered with Flowminder, experts in analyzing call detail records, to track displacement in Haiti after Hurricane Matthew. Find out more in ‘After the storm: using big data to track displacement in Haiti’
We’re also super excited about the chatbot we started developing for messaging apps and our roll out of Free Basics in Malawi which is allowing us to share the food prices we collect in mVAM surveys with people in Malawi With mVAM, our main focus has been reaching people on their simple feature phones. But we know that smartphone ownership is only going to increase. Contacting people through internet-enabled phones opens up loads of new forms of communication and data collection. is still reaching people on their -free basics
mVAM expanded to 16 new countries facing a wide set of challenges: conflict, El Nino drought, hurricanes, extremely remote geographies. We’ve been tracking and learning about what remote mobile data collection can add to food security monitoring systems and what its limits are in different contexts. For some of the highlights, check out our blogs on Afghanistan, Democratic Republic of Congo, Haiti, Nigeria, Papua New Guinea, and El Nino in Southern Africa,
4. Dynamic Partnerships
To have a lasting impact, we need to work with governments. We are really proud of our partnership with CAID, the Cellule d’Analyses des Indicateurs du Développement under the Prime Minister’s Office in the Democratic Republic of Congo. We collaborated on setting up a national market monitoring system- mKengela that they are now running. We’ve had intensive technical sessions with the CAID team in Rome and Kinshasa to work on solutions that will fit their data management and analysis needs. The CAID team even traveled to Johannesburg to share their remote mobile data experience with other African countries and help other governments use this technology.
We’re also working with Leiden University. Bouncing ideas off of their team at the Centre for Innovation helps us move forward on tricky challenges. We’re also collaborating with them to develop an online course where we’re going to share our methodologies and how to use remote technology to monitor food security. Check out Welcome to Vamistan for more.
We are in the field of tech. So we can’t do our job well without partnering with the private sector. It’s definitely a dynamic area, and also one where we at mVAM are learning what works best in melding our humanitarian goals with the exciting private tech potential out there. Check out our blog From the Rift Valley to Silicon Valley and our hackathon with Data Mission for more.
5. Learning- the neverending process
In addition to trying out new technology, we’ve been trying to answer some important questions about the live calls, SMS, and IVR surveys which make up the bulk of mVAM data collection. We’re also doing mode experiments to understand how people answer differently based on which mode we use to contact them. Check out our first Mind the Mode article with more coming in 2017. In Kenya, we are looking into whether we can ask nutrition indicators through mVAM methods. A major challenge is reaching women through phone surveys so we organized a gender webinar with partners to learn from what they are doing- check out our key gender takeaways. These are key questions and they can’t be resolved overnight. But we’re making steady progress in understanding them, and we’re excited for what more we’ll find out in 2017.
Thanks to everyone who has supported our work this year and kept up with our blog!