A new mVAM baby in Mali, weight: 7800 respondents!

WFP/Sebastien Rieussec

WFP/Sebastien Rieussec

This week we’re reporting on our latest news from mVAM in Mali. In this landlocked country in the Sahel chronic food insecurity and malnutrition is widespread – WFP has been present in Mali since 1964. In the last few years Mali has been coping with numerous shocks – such as droughts, floods and a military coup – that led to a political and security crisis and increased food insecurity in the country: by 2016 around 3.1 million people in Mali were food insecure. Households are particularly affected during the lean season, between June and September; and this year WFP estimated 3.8 million people affected by food insecurity, of which 601,00 people in urgent need of food assistance.

To monitor the food security situation, the Government of Mali, with WFP support, does two nationwide face-to-face surveys, in February and September each year. However, in between these times and especially during the lean season that takes place during the summer in Mali there was no data collection – so mVAM was there to fill the ‘data gap.’ We’ve previously blogged about the Mali mode experiment we did comparing data collected by live calls and face-to-face data. As the results showed that there was little difference between the modes, in August the Country Office rolled out mVAM nationwide so that they could get food security information from households affected by this particularly difficult period of the year. During the previous face-to-face survey phone numbers were collected…out of the 13,400 numbers we collected we reached over 7,800 households – mVAM’s largest-ever survey!

With each survey comes different country-specific ‘problems’. There are many different reasons why people might not want to take part in a phone survey – but in Mali, we found one of the biggest was mistrust. People are not used to doing surveys via mobile phones and are sure that there is some form of trick behind them. Many reported that they know that there are lots of mobile phone scams and worry that the call from an unknown number purporting to be from WFP is just another one of these. One of the reasons why they were suspicious  was due to the fact that there was a long time gap between the number collection and the phone survey. This was actually a deliberate choice by the Country Office to ensure that the survey was not just a ‘follow up’ survey to face-to-face data collection like our mode experiment and was getting new information during this specific time period. What wasn’t foreseen was that this meant people forgot that they had given WFP their number and may have not fully understood why they did so in the first place.

Mali blog Edith 2

WFP/Nanthilde Kamara

To get around this issue, the Country Office is planning to use several tactics. As well as using SMS and national radio to advertise the survey, the next time that phone numbers are collected, there will be more time spent on explaining exactly what the purpose of the survey is. The annual September face-to-face food security survey is currently ongoing, so enumerators are now explaining that they might be called by WFP later on this year. The call centre that supports mVAM in Mali calls everyone with the same unique number, this number will be shared with community leaders just before the survey so that they can inform people that they will be rung by this specific number and that it’s an official call from WFP. Respondents will then be able to save the number in their phone so they know when they get the call exactly who it is and it won’t be just an unknown number.

The analysis is still ongoing: We’re looking forward to the results!

 

New places, new tools: what’s up next for mVAM?

KOICA pic 2

We’ve just got back from Rwanda where we were holding a workshop on using mVAM to expand real-time food security and nutrition monitoring with Internally Displaced Persons (IDPs) and refugee populations. The project, which is made possible by the support of the Korean International Cooperation Agency (KOICA), will be implemented in ten countries in sub-Saharan Africa where WFP works.

What’s the project?

The KOICA project has two aims. First, it aims to empower information exchange with marginalized populations, specifically IDPs and Refugees. Secondly, it supports the collection of food security and nutrition data using the latest mobile and satellite technologies. This will happen in ten countries in Sub-Saharan Africa: the Central African Republic (CAR),The Democratic Republic of Congo (DRC), Kenya, Malawi, Niger, Nigeria, Rwanda, Somalia, South Sudan and Uganda.

How are we going to do this?

As you know, two-way communication systems are an important part of our work. As well as getting information that we can use to inform WFP programmes, we want to ensure that the line is open so that people in the communities we serve can contact us and access information that is useful to them. We’ve already been using Interactive Voice Response and live calls to share information with affected populations, and are now expanding our toolbox to include new technologies: Free Basics and a chatbot.

Remote data collection isn’t just done by mobile phones – VAM already uses other sources, such as  satellite imagery analysis – to understand the food security situation on the ground.  Under this project, we’ll also help countries incorporate similar analysis which will complement two-way communication systems to provide a fuller picture of the food security situation.

Finally, we’re going to harness our knowledge of Call Detail Records analysis: de-identified metadata collected via cell phone towers about the number of calls or messages people are sending and which towers they are using. We have already used this technique in Haiti to track displacement after Hurricane Matthew, and we’re really excited to transfer these ideas to another context to ensure we get up-to-date information on where affected communities are so we can better target food assistance in the right locations.

What happened at the workshop?

Representatives from all 10 country offices, three regional bureaus and staff from HQ came together to discuss the three main project components. During the workshop, the different country offices had the chance to learn more from members of the mVAM team about the specific tools they can harness and ensure their collected data is high quality, standardised and communicated effectively. However, the best part about bringing everyone together was that country teams could share their experiences about how they are already using mVAM tools. We heard from the Malawi country office about their Free Basics pilot, and Niger and Nigeria explained how they’re implementing IVR so affected communities can easily contact WFP, even after work hours. Sharing their different experiences and learning about how different tools have worked in each context not only gave everyone an overview of what mVAM is doing so far, it also helped everyone understand the implementation challenges and how to overcome them.

What’s next for the KOICA project?

We’re really excited for the next stage of the project. Each country office has now planned what tools they’re going to use to increase their communications with affected communities and how they will improve their existing data collection systems. It’s going to be great to see the impact these tools will have not only on WFP’s response, but also how they will empower the communities we’re serving. 

How Can Chatbots Help Us Respond to Humanitarian Crisis?

 

WFP/Rein Skullerud

Kaukuma refugee camp in Kenya (WFP/Rein Skullerud)

At the moment, The World Food Programme (WFP) and the wider humanitarian system are #FightingFamine in four countries. In Somalia, Yemen, North-Eastern Nigeria and South Sudan 20 million people are on the brink of starvation.

Our recent study “At the Root of Exodus” found that high levels of food insecurity lead to higher levels of migration across borders; UNHCR estimates that there are 65.6 million people forcibly displaced worldwide. The stakes are high, we need all the information we can get.

Who Needs a Humanitarian Chatbot?

Based on our previous experiences and secondary sources, we knew that some displaced people could potentially access our humanitarian chatbot. But, of course, the reality on the ground is incredibly complex.

They could be refugees who have travelled to a different continent or Internally Displaced People (IDPs) who’ve moved within their own country. Some may have just arrived in a camp or settlement a few months ago, others may be adults who were born in the camp and spent their whole lives there.

Within the same camp there might be different nationalities, languages, family demographics and education levels- the list goes on. These huge disparities mean that extensive in-country, context-specific research is needed to confirm any initial design assumptions. Only then can we really design the best tool to reach our target population.

This was very clear when we spoke to IDPs in Maiduguri, but also during our visit to Kakuma Refugee camp and Kalobeyei refugee settlements in northern Kenya where we conducted some focus group discussions about the possibility of using a humanitarian chatbot.

There are currently more than 200,000 people living in the two refugee settlements we visited in Kenya, including Somali and South Sudanese refugees, so we spoke to various groups in each of the settlements to get a broad overview of what different people felt could or couldn’t work.

Our research was therefore constructed around four fronts: phone usage, Internet usage, information needs, and a product review of the chatbot.

Refugee Phone and Internet Usage in Kakuma

First, phone and Internet usage. For people fleeing their homes phones can be their lifelines. They’re the way that they communicate with friends and family, get updates on the situations at home and even receive remittances or money from WFP.

It therefore wasn’t a surprise that a lot of the households, particularly in the older and more established camps, had access to a phone, and many also to the Internet. Kakuma refugee camp was established in 1992 so many of the young people we spoke to had lived their whole lives in the camp.

Here people told us that nine out of ten households had a phone (either basic or Internet-enabled) and they had good network coverage- encouraging news if we want to contact them with this channel! They confirmed our assumption that young people were most likely to have access to the Internet, either owning their own smartphone or by borrowing one from friends and used social messaging apps. But of course this wasn’t the only story.

The enormous increase in refugees means there are actually four different ‘Kakuma’ camps all of which are now full. To cope with ever-increasing numbers the Kalobeyei settlement was set up a few kilometres away to host new arrivals in an integrated settlement with the host community. The differences in people’s responses were stark.

Here people reported that only one or two out of ten households had handsets and it was very difficult and expensive to charge them. The young people also said they had Facebook profiles and knew how to use the Internet but they had no way to access it.

They pointed out that it’s now nearly impossible to get a Kenyan SIM card because as refugees they don’t have the necessary ID and aren’t eligible to legally work. Clearly whilst our assumption that a chatbot could be a good way of communicating with young refugees or IDPs was correct – there were some serious limitations.

Would Refugees Actually Use a Chatbot?

During our visit, we did not only want to check the feasibility of the chatbot and identify potential users, we also wanted to find out how to make it a) useful and b) interesting enough to hold users’ attention.

From our focus groups we learnt that refugees wanted to get more information about WFP programs. WFP already uses many different media like posters, hotlines, desks and even loudspeakers on cars to speak to people in the camps but a chatbot could act as a complement that sends outs updates immediately.

Refugees also really liked that they could have a direct feedback channel – they didn’t have to wait in line to send a message and WFP staff were happy they would have an automated way of handling these messages. Nevertheless there are limitations. Both staff and refugees reiterated that the chatbot isn’t the right communication channel to ask sensitive questions about security issues.

Two Surprising Findings

These interviews also gave us insight into some basic communication designs. Initially we thought that to reach the most people we needed to translate the bot into Kiswahili, Somali and Dinka (the most commonly spoken language by South Sudanese refugees). However, after talking to the refugees we soon realised there was no need as young people, our primary target audience, spoke English or Kiswahili.

In fact, the biggest takeaway was that the chatbot could be a springboard for other channels. By its nature a refugee camp is a very close-knit community. Even if not everyone has access to the Internet, young people said that they would still be able to share the messages they receive verbally with their friends and family.

Our trip to Kakuma therefore reiterated that context-specific research is the only way that we can produce a great communication tool for our target audience. There are challenges that we’ll explore in the next phases of our rollout, particularly as we explore using our chatbot in other countries and camps. Nevertheless, the future looks bright for the chatbot!

This blog was originally published on ICT Works 

World Humanitarian Day 2017

Photo: WFP

Photo: WFP/ Regional Bureau of Cairo

To celebrate World Humanitarian Day 2017, this week we interviewed one of the humanitarians who makes mVAM possible. Hatem works as a data scientist in the Cairo Regional Bureau so we asked him more about his work – remotely monitoring food security in conflict zones in the Middle East.

1. Duty station: Regional Bureau of Cairo (RBC)

2. Job title: Data Scientist (VAM)

3. What does your job entail? My job is mainly focused on the data analysis, aggregation and visualization of the monthly mVAM food security surveys in L3 Countries (Yemen, Syria & Iraq). The process starts with the monthly data collection done by call centres or operators. I follow up with the call centres to make sure that the data they’ve collected is in good format and has minimal or no errors. I also make sure that they are following the sampling guidelines and methodologies designed by our team in headquarters. After that, I perform some data cleaning and validation before storing the data in our database. Then, I run some statistical tests on different variables so that I can understand what significant changes there are in the data compared to previous months. According to the analysis results, trends and statistical changes compared to previous months. According to the analysis results, trends and statistical tests, as well as secondary data/news, me and my team start to gather the most important/significant data and create a brief story that summarizes the food security situation in the country. The bulletin is usually 4-5 pages containing text narratives, charts, images and sometimes maps.  There is also usually a qualitative analysis part based on the open text comments of the respondents. It is usually an interesting yet challenging process to find new ways of visualizing open-ended comments from respondents (usually around 1,000-2,000 comments).

4. How does your work help WFP’s response in conflict zones? The mVAM bulletins provide up-to-date and almost real-time data about people that live in conflict zones who you can’t reach by any other means other than mobile phones. These bulletins inform the programme teams about their needs, the most vulnerable areas and the most vulnerable population groups such as displaced people. This ensures WFP is in a better and more informed position to take any programmatic decision on who is affected by conflict, where they are and how they can assist these people most effectively.

5. What’s the most challenging part of your job? Creating a full story from raw data. As a data scientist I usually face technical difficulties – whether it’s in the data cleaning, storage, or analysis code. However, the most challenging part is usually correlating all the data from mVAM and other sources to represent them in a meaningful and complete story that briefly describes the situation in a specific country.

6. What’s the most rewarding part of your job? Working in the humanitarian sector is very rewarding, even if it is not directly with beneficiaries. Not to mention working with data related to conflict zones where there are rapid changes and up-to-date data is in high demand. The fact that I’m a part of a process that makes other people’s lives better, especially those who are in serious need is, in itself, a huge drive to make me do what I do.

mVAM is recruiting an intern!

Join the team!

Join the team!

Ever wanted to get involved with the mVAM project? We’re happy to say that we’re recruiting an intern! If you’ve just graduated or are still in education with at least 2 years of undergraduate experience and are interested in communications and food security we want to hear from you!

To see the full vacancy follow this link to the WFP careers posting and send us a message if you have any more questions to mvam.info@gmail.com.

Deadline for applications is 18th August 2017

 

Our experiment using Facebook chatbots to improve humanitarian assistance

Testing the chatbot in Nigeria

Testing the chatbot in Nigeria

It must have been above 40 degrees Celsius that afternoon in Maiduguri, Nigeria. Hundreds of people were waiting to cash the mobile money they receive from the World Food Programme (WFP), sitting under tarps that provided some protection from the sun – in other words, the perfect time to sit and chat.

“How many of you have smartphones?” we asked. We waited for the question to be asked in Hausa, and out came mobile devices of all shapes and sizes. “How many of you have Facebook accounts?” Even before the question was translated, we saw nods all around.

“Of course we’re on Facebook – it’s the way we can message friends and family”

Displaced people in Nigeria, even those facing famine and urgently need aid, are connected and rely on messaging apps.

A leap of faith: from SMS to chatbot surveys

Collecting information in communities on the humanitarian frontline is dangerous, cumbersome and expensive, particularly in conflict settings. In north-east Nigeria, our assessment teams travel by helicopter or in convoys, and some locations are simply too insecure to visit at all. This means that decisions about emergency food assistance are sometimes made with very limited information.

But increasing access to mobile phones is changing this. WFP’s mobile Vulnerability Analysis and Mapping (mVAM) project has adopted SMS, Interactive Voice Response and call centres to collect food security information from communities enduring crises like Ebola or the Syrian civil war. Nelsen, a global information and measurement company, found that using SMS we are able to run our surveys 50% cheaper and 83% faster than we would have for face-to-face surveys, while putting no enumerators in harm’s way. The system’s success means we’re now using mobile tools to collect and share information in 33 countries.

Our successes with automated surveys meant we were keen to look into using chatbots (automated assistants that are programmed into messaging apps) to collect food security data. We were especially curious about the fact that a bot could help us ‘chat’ with thousands of people simultaneously and in real-time, like others have.

chatbot interaction

A sample chatbot interaction

To reach as many people as possible, we decided to create a bot that would operate on a popular messaging app, like Facebook Messenger or Telegram, so people could take our surveys on a platform they already use.

You might think it’s unreasonable to expect people in conflict settings to be connected at all. But, as our Nigeria example shows, their connection is a lifeline to normality. We also found that in many countries operators sell ‘social bundles’ that offer unlimited Facebook, WhatsApp or other social media for a single low price.

Where ‘Facebook Lite’ is available, people can even connect for free. All this means that communicating with vulnerable communities could happen in real time and at little to no cost to the respondent or WFP.

Introducing Food Bot

Last summer, we decided to try it out. InSTEDD developed a chatbot prototype that we demoed with Sub-Saharan African migrants in Rome. The demo asked the respondent to share information about food security in their community and allowed them to look up updated food prices.

Our testers liked the fact that talking to our bot felt like having a conversation with a real person. We felt like we were on to something! Earlier this year, Nielsen helped us further develop a chatbot design that calls for multiple gateways, natural language processing capabilities, and a reporting engine.

The current version of Food Bot is programmed to ask a predefined set of questions to the user – it does not rely on artificial intelligence yet. Food Bot goes through a simple questionnaire and saves the answers so that our analysts can process them.

The chatbot format also lets users ask us questions and is a channel for us to give useful information we’ve collected back to these communities. These include messaging on WFP programmes, food prices, weather updates, nutrition and disease prevention. The version we are using for testing currently runs on Facebook Messenger, but we want to make sure it works on all the relevant messaging apps.

No walk in the park

Before we get carried away, we need to consider some of the very real challenges. A timely report by the ICRC, Block Party and the Engine Room emphasizes the new responsibilities that humanitarian agencies assume as they make use of messaging apps to communicate with affected populations. Notably, the use of chat apps to collect information from people who have fled their countries or home raises the important issue of responsible data practices. If we are ever hacked, people’s personal details could be put at risk, including names and pictures. We will certainly have to review our existing data responsibility guide and continue obtaining advice from the International Data Responsibility Group (IDRG), as well as build an understanding of data responsibility principles in the field.

We also suspect that the audience we reach through Food Bot will be younger, better off, more urban and more male than the general population. The convenience of collecting data through a bot does not dispense with the hard task of seeking out those who are not connected and who are probably the most vulnerable. We want to explore ways to make our bot as accessible as possible like translating text into local languages, using more icons in low literacy settings and working with civil society organisations that specialize in digital inclusion.

Finally, we realize that we must prepare to manage all of the unstructured information that Food Bot will collect. Colleagues in the field are already weary of collecting yet more data that won’t be analysed or used. As a result, the team is working on setting up the infrastructure that is needed to process the large volumes of free text data that we expect the bot to produce. This is where our work with automated data processing and dashboards should pay dividends.

This post was originally published on ICT Works as part of a series on humanitarian chatbots.

VAM Talks episode 12: Monitoring Nutrition Remotely

Episode 12:   3 August 2017

Logo2Alice Clough interviews Lauren Landis, director of WFP Nutrition, Kusum Hachhethu from mVAM and Todd Rosenstock from ICRAF about mVAM for Nutrition

Mind the mode:

Who's texting & who's talking in Malawi?

Malawi mVAM respondent WFP/Alice Clough

Malawi mVAM respondent
WFP/Alice Clough

It’s time for another installment of our Mind the Mode series. For those of you who follow this blog regularly, you know that the mVAM team is continually evaluating the quality of the data we collect. Past Mind the Mode blogs have discussed our work in Mali looking at face-to-face versus voice calls, our comparison of SMS and IVR in Zimbabwe and the differences in the Food Consumption Score (FCS) for face-to-face versus Computer-Assisted Telephone Interviews (CATI) interviews in South Sudan.

This month, we turn our attention to Malawi, where we recently completed a study analyzing the differences in the reduced Coping Strategies Index (rCSI) when it’s collected via CATI and SMS. This indicator helps measure a household’s food security by telling us what actions they might be taking to cope with any stresses such as reducing the number of meals a day or borrowing food or money from friends or family. From February to April 2017, around 2,000 respondents were randomly-selected for an SMS survey and 1,300 respondents were contacted on their mobile phones by an external call centre to complete a CATI survey.

People Profiling: who’s Texting and who’s Talking? 

Across all three rounds, a greater proportion of respondents in both modalities were men who lived in the South and Central Regions of the country and came from male-headed households. However, the respondents taking the SMS survey were much younger (average age 29) than those who took the CATI survey (average age 40). This probably isn’t surprising when you consider that young people across the world tend to be much more interested in new technologies and in Malawi are more likely to be literate.

The results from our mode experiment in Zimbabwe showed that IVR and SMS surveys reached different demographic groups so we figured we might see the same results in Malawi. However, this was surprisingly not the case: both CATI and SMS participants seemed to come from better-off households. In our surveys we determine this by asking them what material the walls of their home are made from (cement, baked bricks, mud, or unbaked bricks).

better off-worse off wall type malawi

More respondents (60%) said they have cement or baked brick walls as opposed to mud or unbaked brick walls, an indicator of being richer.

Digging into the rCSI

So what about the results observed for the rCSI between the two modes? The CATI rCSI distribution shows a peak at zero (meaning that respondents are not employing any negative coping strategies) and is similar to the typical pattern expected of the rCSI in face-to-face surveys (as you can see in the two graphs below).

Density plot for CATI Feb-April 2017

 

SMS rCSI

The SMS results, on the other hand, tend to have a slightly higher rCSI score than in CATI, meaning that respondents to the SMS survey are employing more negative coping strategies than households surveyed via CATI. This is counter-intuitive to what we might expect, especially since the data illustrates that these households are not more vulnerable than CATI respondents. Presumably, they would actually be better educated (read: literate!) to be able to respond to SMS surveys. We’re therefore looking forward to doing some more research in to why this is the case.

Box plot cati rcsi

It’s All in the Numbers

Some interesting patterns in terms of responses were also observed via both modalities. SMS respondents were more likely to respond to all five rCSI questions by entering the same value for each question (think: 00000, 22222…you get the idea!). At the beginning of the survey, SMS respondents were told that they would earn a small airtime credit upon completion of the questionnaire. We conjecture that some respondents may have just entered numbers randomly to complete the questionnaire as quickly as possible and receive their credit. Keep in mind that entering the same value for all five rCSI questions via CATI is a lot more difficult, as the operator is able to ask additional questions to ensure that the respondent clearly understands the question prior to entering the response.  For SMS, there’s no check prohibiting the respondent from dashing through the questionnaire and entering the same response each time.

We also saw that the percentage of respondents stating that they were employing between zero and four strategies was much lower among SMS respondents than CATI respondents across all three months of data collection. Conversely, more respondents (three out of five) in the SMS survey reported that they were using all five negative coping strategies than in the CATI survey. Again, this is counter-intuitive to what we would expect.  It might mean that SMS respondents didn’t always correctly understand the questionnaire or that they didn’t take the time to reflect on each question, completing questions as rapidly as possible to get their credit; or simply entered random numbers in the absence of an operator to validate their responses.  The graphs below illustrate the differences in rCSI responses between CATI and SMS.

Figure 3: Distribution of the number of coping strategies reported by SMS and CATI respondents by months

Figure 3: Distribution of the number of coping strategies reported by SMS and CATI respondents by months

From these results, you can see that we still have a lot to learn on how survey modality affects the results. This is just the start of our research; so expect more to come as the team digs deeper to better understand these important differences.

Postcard from Dakar

mVAM workshop participants all smiles after learning more about IVR WFP/Lucia Casarn

mVAM workshop participants all smiles after learning more about IVR WFP/Lucia Casarn

During the last week of June, staff from WFP HQ’s mVAM team, the West and Central Africa Regional Bureau, and Nigeria and Niger Country Offices met in beautiful Dakar to work together on Interactive Voice Response (IVR) systems for two-way communication. (If you want to dig deep into all details IVR-related, check out the lesson in our mVAM online course!)

We’ve previously blogged about how WFP is responding to the needs of people who have been displaced due to Boko Haram insurgencies in both Nigeria and Niger. When we implemented these operations we also put communication channels in place so beneficiaries are able to contact WFP. In Nigeria, the Maiduguri Field Office created a hotline. Their operators receive an average of 100 calls per day from beneficiaries asking food security-related questions and providing feedback on the operations. The problem is the hotline is only available during working hours and has a limited number of people who can call in at the same time. To work around this they’re therefore looking at how an IVR system can support the call operators who are dealing with high volumes and better manage calls that take place outside of normal office hours. WFP Niger wants to set up a similar hotline system but without full time phone operators. Beneficiaries will call in to an automated IVR system and their queries and feedback recorded by the system and followed up by the Country Office. 

A Nigeria IT Officer working to install a GSM gateway for IVR usage in Maiduguri WFP/Lucia Casarin

A Nigeria IT Officer working to install a GSM gateway for IVR usage in Maiduguri WFP/Lucia Casarin

During the workshop participants were trained by InSTEDD on how to physically deploy IVR using a GSM gateway (a fancy tool that automatically places phone calls) and Verboice, the free open source software they’ve developed to manage these systems. The team also discussed the nitty gritty technical aspects of the system, including creating and modifying call flows (the sequencing of questions), scheduling calls and downloading collected call logs and recordings. Most importantly, participants had the opportunity to share their experiences and challenges with experts in this field and discuss best practices, alternative deployments and technical solutions.

The Country Office staff have now returned to Niger and Nigeria and they’ve already started testing the use of the IVR machines. We’re eager to begin logging data and hearing more from our beneficiaries. So stay tuned!

 

 

 

Postcard from DRC

Congo Call Center operator on the phone with a WFP beneficiary to discuss WFP’s activities

Congo Call Center operator on the phone with a WFP beneficiary to discuss WFP’s activities

Greetings from the Democratic Republic of Congo (DRC)! Two members of the mVAM team recently travelled to Kinshasa to help the WFP Country Office assess how to improve upon its current mVAM system and see what other mVAM technologies we could roll out in the coming months.

mVAM data collection in DRC is conducted nation-wide in collaboration with the Cellule d’Analyses des Indicateurs de Développement, more commonly referred to as CAID. CAID is part of the Congolese National Government, housed within the Prime Minister’s Office, and is responsible for collecting food security and other indicators on a regular basis. Since April 2016, CAID—with technical support from WFP—has been collecting remote food security data across more than 50% of the country. Now this is quite a feat when you consider the vast size of DRC (it would cover most of Western Europe!) coupled with the fact that in many places there is little network coverage.

Map from: http://www.mylifeelsewhere.com/country-size-comparison/belgium/democratic-republic-of-congo

Map from: http://www.mylifeelsewhere.com/country-size-comparison/belgium/democratic-republic-of-congo

During the visit, the mVAM team met with CAID to discuss how to improve its data quality and expand to areas not yet covered by mVAM. This included a visit to the Congo Call Center (CCC). They have a team of operators dedicated to conducting the monthly calls so we went to discuss any challenges they encounter when placing calls. We also brainstormed different ways share the information that CAID collects with the general public. They currently produce a monthly bulletin called ‘m-kengela’ that shares price information and other food security-related details but they also want to share this information with a larger audience. So, together we explored the possibility of creating a Free Basics website that would be accessible to a larger audience. Given the success of our Free Basics pilot in Malawi and the fact that there are two participating mobile network providers within the country, we decided that this would be an ideal way of creating a nation-wide price website. We therefore met with cell phone companies and spent time with CAID mapping out what their site might look like.

Discussions are now underway vis-a-vis the next steps and the mVAM team and CAID are hard at work preparing for the launch of its first Free Basics price website. So stay tuned for more details as rollout takes place over the coming months!