“Data Africa is an open data platform designed to provide information on key themes for research and development such as: agriculture, climate, poverty and child health across Sub-Saharan Africa at the sub-national level. The main goal of the online tool is to present the themes to a wide, even non-technical audience through easily accessible visual narratives.
In its first stage, the platform is focused on national and sub-national level data for 13 countries:
Burkina Faso
Ethiopia
Ghana
Kenya
Malawi
Mali
Mozambique
Nigeria
Rwanda
Senegal
Tanzania
Uganda
Zambia
Over time, we anticipate expanding the coverage of the platform with additional countries and increasing the amount of data available through the platform….
The data contained in the online tool draws from a variety of sources, including:
Stefaan Verhulst and Andrew Young in The Conversation Global: “The modern era is marked by growing faith in the power of data. “Big data”, “open data”, and “evidence-based decision-making” have become buzzwords, touted as solutions to the world’s most complex and persistent problems, from corruption and famine to the refugee crisis.
While perhaps most pronounced in higher income countries, this trend is now emerging globally. In Africa, Latin America, Asia and beyond, hopes are high that access to data can help developing economies by increasing transparency, fostering sustainable development, building climate resiliency and the like.
This is an exciting prospect, but can opening up data actually make a difference in people’s lives?
Our conclusion: the enthusiasm is justified – as long as it’s tempered with a good measure of realism, too. Here are our six major takeaways:
1. We need a framework – Overall, there is still little evidence to substantiate the enthusiastic claims that open data can foment sustainable development and transform governance. That’s not surprising given the early stage of most open data initiatives.
It may be early for impact evaluation, but it’s not too soon to develop a model that will eventually allow us to assess the impact of opening up data over time.
To that end, the GovLab has created an evidence-based framework that aims to better capture the role of open data in developing countries. The Open Data Logic Framework below focuses on various points in the open data value cycle, from data supply to demand, use and impact.
Logic model of open data.The GovLab
2. Open data has real promise – Based on this framework and the underlying evidence that fed into it, we can guardedly conclude that open data does in fact spur development – but only under certain conditions and within the right supporting ecosystem.
One well-known success took place after Nepal’s 2015 earthquake when open data helped NGOs map important landmarks such as health facilities and road networks, among other uses.
And in Colombia, the International Centre for Tropical Agriculture launched Aclímate Colombia, a tool that gives smallholder farmers data-driven insight into planting strategies that makes them more resilient to climate change….
3. Open data can improve people’s lives Examining projects in a number of sectors critical to development, including health, humanitarian aid, agriculture, poverty alleviation, energy and education, we found four main ways that data can have an impact….
4. Data can be an asset in development While these impacts are apparent in both developed and developing countries, we believe that open data can have a particularly powerful role in developing economies.
Where data is scarce, as it often is in poorer countries, open data can lead to an inherently more equitable and democratic distribution of information and knowledge. This, in turn, may activate a wider range of expertise to address complex problems; it’s what we in the field call “open innovation”.
This quality can allow resource-starved developing economies to access and leverage the best minds around.
And because trust in government is quite low in many developing economies, the transparency bred of releasing data can have after-effects that go well beyond the immediate impact of the data itself…
5. The ingredients matter To better understand why some open data projects fail while others succeed, we created a “periodic table” of open data (below), which includes 27 enabling factors divided into five broad categories….
6. We can plan for impact Our report ends by identifying how development organisations can catalyse the release and use of open data to make a difference on the ground.
Recommendations include:
· Define the problem, understand the user, and be aware of local conditions;
· Focus on readiness, responsiveness and change management;
· Nurture an open data ecosystem through collaboration and partnerships;
· Have a risk mitigation strategy;
· Secure resources and focus on sustainability; and
· Build a strong evidence base and support more research.
Next steps
In short, while it may still be too early to fully capture open data’s as-of-yet muted impact on developing economies, there are certainly reasons for optimism.
Much like blockchain, drones and other much-hyped technical advances, it’s time to start substantiating the excitement over open data with real, hard evidence.
The next step is to get systematic, using the kind of analytical framework we present here to gain comparative and actionable insight into if, when and how open data works. Only by getting data-driven about open data can we help it live up to its potential….(More)“
Cass Sunstein at Bloomberg: “All over the world, private and public institutions have been adopting “nudges” — interventions that preserve freedom of choice, but that steer people in a particular direction.
A GPS device nudges you. So does a reminder from your doctor, informing you that you have an appointment next Wednesday; an automatic enrollment policy from your employer, defaulting you into a 401(k) plan; and a calorie label at fast-food restaurants, telling you that a cheeseburger won’t be great for your waistline.
Recent evidence demonstrates that nudges can be amazingly effective — far more so, per dollar spent, than other tools, such as economic incentives. But a big question remains: Across different nations, do nudges have the same impact? Here’s a cautionary note.
One of the most famous success stories in the annals of nudging comes from the U.K. To encourage delinquent taxpayers to pay up, British officials simply informed them, by letter, that the overwhelming majority of British taxpayers pay their taxes on time.
It worked. Within just a few weeks, the letters produced millions of dollars in additional revenue. Consistent with standard findings in behavioral science, recipients of the letters didn’t like learning that they were deviating from the social norm. Like most of us, they didn’t want to be creeps or shirkers, and so they paid up.
For other nations, including the U.S., that was an intriguing finding. So our Department of Treasury tried the same approach. It sent letters to delinquent taxpayers, informing them (accurately) that 91 percent of American taxpayers pay on time. On the basis of the British data, the expectation was that a lot of people would be ashamed, and pay their taxes.
Except they didn’t. The U.S. Treasury didn’t get any more money.
How come? It’s reasonable to speculate that in the U.S., delinquent taxpayers just don’t care about the social norm. If they learn about it, they still aren’t motivated to pay.
This finding demonstrates that different groups can react very differently to nudges. It’s well known that when people are told that they are using more energy than their neighbors, they scale back — so that information is an effective nudge. But a study in California suggests that things are a bit more complicated….
In general, we don’t yet have a lot of evidence of international differences on the impact of nudges. But it would be surprising if such evidence doesn’t start to accumulate. Wherever people begin with strong preferences, and don’t like the direction in which they are being nudged, nudges are going to have a weaker effect.
For many nudges, that’s just fine. Actually, it’s part of the point….(More)”.
New report by sparks & honey: “Conventional wisdom suggests that to peer into the crystal ball of America’s future, one should go to Silicon Valley to check out the latest start-up unicorns, or to New York or Los Angeles to scout emerging trends in fashion and food.
Middle America, on the other hand, is often described as if it’s on the margins of culture and innovation — “flyover country” — provincial, unsophisticated and stuck in the past. But Middle America is diverse and although it is not stuck in the past —rhetoric about it is.
In this culture forecast report, we spotlight the region, looking at it not through the lens of politics, ideology or outdated clichés, but rather through innovation. Key cities from Cleveland to Nashville to Louisville are reinventing themselves by embracing innovation in manufacturing, city design, healthcare, sustainability efforts and clean energy, creatively solving problems that the entire country will eventually have to confront. And they’re imbuing this reinvention with characteristic Middle American values of community, collaboration, and concern for the social impact of their actions.
Yes, portions of Middle America may have a lot of cornfields — but drone-farming is happening there. Although Nashville is still the seat of the Grand Ole Opry, it’s also emerging as a major fashion and design hub. And in Appalachia, a coal museum is powered by solar energy and out-of-work coal miners are reinventing themselves as coders. It’s even predicted that in five years, the Midwest will have more startups than Silicon Valley.
Although it’s easy to politicize and divide America, innovation is not about moving right or left. Innovation is about moving forward…(More)”
Jeremy de Beer, Jeremiah Baarbé, and Sarah Thuswaldner at Open AIR: “Agricultural data is a vital resource in the effort to address food insecurity. This data is used across the food-production chain. For example, farmers rely on agricultural data to decide when to plant crops, scientists use data to conduct research on pests and design disease resistant plants, and governments make policy based on land use data. As the value of agricultural data is understood, there is a growing call for governments and firms to open their agricultural data.
Open data is data that anyone can access, use, or share. Open agricultural data has the potential to address food insecurity by making it easier for farmers and other stakeholders to access and use the data they need. Open data also builds trust and fosters collaboration among stakeholders that can lead to new discoveries to address the problems of feeding a growing population.
…published two works on open agricultural data. Published in partnership with GODAN, “Ownership of Open Data” describes how intellectual property law defines ownership rights in data. Firms that collect data own the rights to data, which is a major factor in the power dynamics of open data. In July, Jeremiah Baarbé and Jeremy de Beer will be presenting “A Data Commons for Food Security” …The paper proposes a licensing model that allows farmers to benefit from the datasets to which they contribute. The license supports SME data collectors, who need sophisticated legal tools; contributors, who need engagement, privacy, control, and benefit sharing; and consumers who need open access….(More)“.
Salem Solomon at VOA news: “The world is watching closely as food shortages grip parts of Africa and the Middle East. As humanitarian groups respond to the crisis, they have to solve a major problem: how to track food security in areas that are simply too remote or too dangerous to access.
The Famine Early Warning Systems Network (FEWSNET) has come up with an innovative answer. The U.S.-funded organization is working with DigitalGlobe, a Colorado satellite company, to crowdsource analysis of satellite imagery of South Sudan.
The effort will rely on thousands of volunteers — normal people with no subject matter expertise — to scour satellite images looking for things like livestock herds, temporary dwellings and permanent dwellings. The group has selected an area of 18,000 square kilometers across five counties in South Sudan to analyze.
“The crowd can identify settlement imagery, they can identify roads, hospitals, airplanes, you name it. It allows us to tap into this network of folks around the world, not necessarily in country, but they are folks who are interested and compelled by whatever the campaign is,” said Rhiannan Price, senior manager of the Seeing a Better World Program at DigitalGlobe….(More)”.
Lenny Ruvaga at VOA News: “Computer algorithms power much of modern life from our Facebook feeds to international stock exchanges. Could they help end malnutrition and hunger in Africa? The International Center for Tropical Agriculture thinks so.
The goal is to catch the subtle signs of a hunger crisis brewing in Africa as much as a year in advance.
CIAT says the system uses machine learning. As more information is fed into the system, the algorithms will get better at identifying patterns and trends. The system will get smarter.
Information Technology expert Andy Jarvis leads the project.
“The cutting edge side of this is really about bringing in streams of information from multiple sources and making sense of it. … But it is a huge volume of information and what it does, the novelty then, is making sense of that using things like artificial intelligence, machine learning, and condensing it into simple messages,” he said.
Other nutrition surveillance systems exist, like FEWSnet, the Famine Early Warning System Network which was created in the mid-1980s.
But CIAT says NEWS will be able to draw insights from a massive amount of diverse data enabling it to identify hunger risks faster than traditional methods.
“What is different about NEWS is that it pays attention to malnutrition, not just drought or famine, but the nutrition outcome that really matters, malnutrition especially in women and children. For the first time, we are saying these are the options way ahead of time. That gives policy makers an opportunity to really do what they intend to do which is make the lives of women and children better in Africa,” said Dr. Mercy Lung’aho, a CIAT nutrition expert.
While food emergencies like famine and drought grab headlines, the International Center for Tropical Agriculture says chronic malnutrition affects one in four people in Africa, taking a serious toll on economic growth and leaving them especially vulnerable in times of crisis….(More)”.
Cath Everett in Diginomica: “Although the private sector is seen as the villain of the piece in some quarters, it actually has a substantial role to play in helping solve the problem of world hunger.
Laperriere himself heads up Godan’s small secretariat of five full-time equivalent employees who are based in Oxfordshire in the UK. The goal of the organisation, which currently has 511 members, is to encourage governmental, non-governmental (NGO) and private sector organisations to share open data about agriculture and nutrition. The idea is to make such information more available, accessible and usable in order to help tackle world food security in the face of mounting threats such as climate change.
But to do so, it is necessary to bring the three key actors originally identified by James Wolfensohn, former president of the World Bank, into play, believes Laperriere. He explains:
You have states, which generate and possess much of the data. There are citizens with lots of specific needs for which the data can be used, and there’s the private sector in between. It’s in the best position to exploit the data and use it to develop products that help meet the needs of the population. So the private sector is the motor of development and has a big role to play.
This is not least because NGOs, cooperatives and civil societies of all kinds often simply do not have the resources or technical knowledge to either find or deal with the massive quantities of open data that is released. Laperriere explains:
It’s a moral dilemma for a lot of research organisations. If, for example, they release 8,000 data sets about every kind of cattle disease, they’re doing so for the benefit of small farmers. But the only ones that can often do anything with it are the big companies as they have the appropriate skills. So the goal is the little guy rather than the big companies, but the alternative is not to release anything at all.
But for private sector businesses to truly get the most out of this open data as it is made available, Laperriere advocates getting together to create so-called pre-competition spaces. These spaces involve competitors collaborating in the early stages of commercial product development to solve common problems. To illustrate how such activity works, Laperriere cites his own past experience when working for a lighting company:
We were pushing fluorescent rather than incandescent lighting, but it contains mercury which pollutes, although it has a lower carbon footprint. It was also a lot more expensive. But we sat down together with the other manufacturers and shared our data to fix the problem together, which meant that everyone benefited by reducing the cost, the mercury pollution and the amount of energy consumed.
Next revolution
While Laperriere understands the fear of many organisations in potentially making themselves vulnerable to competition by disclosing their data, in reality, he attests, “it not the case”. Instead he points out:
If you release data in the right way to stimulate collaboration, it is positive economically and benefits both consumers and companies too as it helps reduce their costs and minimise other problems.
Due to growing amounts of government legislation and policies that require processed food manufacturers around the world to disclose product ingredients, he is, in fact, seeing rising interest in the approach not only among the manufacturers themselves but also among packaging and food preservation companies. The fact that agriculture and nutrition is a vast, complex area does mean there is still a long way to go, however….(More)”
Phani Kumar Chintakayala and C. William Young in the Journal of Consumer Ethics: “The Consumer Data Research Centre (CDRC) was established by the UK Economic and Social Research Council and launched its data services in 2015. Te project is led by the University of Leeds and UCL, with partners at the Universities of Liverpool and Oxford. It is working with consumer-related organisations and businesses to open up their data resources to trusted researchers, enabling them to carry out important social and economic research….
Over the last few years there has been much talk about how so-called “big data” is the future and if you are not exploiting it, you are losing your competitive advantage. So what is there in the latest wave of enthusiasm on big data to help organisations, researchers and ethical consumers?…
Examples of the types of research being piloted using data from the food sector by CDRC include the consumption of milk and egg products. Te results clearly indicate that not all the sustainable products are considered the same by consumers, and consumption behaviour varies across sustainable product categories. i) A linked data analysis was carried out by combining sales data of organic milk and free range eggs from a retailer with over 300 stores across the UK, green and ethical atitude data from CDRC’s data partner, and socio-demographic and deprivation data from open sources. Te analysis revealed that, in general, the consumers with deeper green and ethical atitudes are the most likely consumers of sustainable products. Deprivation has a negative efect on the consumption of sustainable products. Price, as expected, has a negative efect but the impact varies across products. Convenience stores have signifcant negative efect on the consumption of sustainable products. Te infuences of socio-demographic characteristics such as gender, age, ethnicity etc. seem to vary by product categories….
Big data can help organisations, researchers and ethical consumers understand the ethics around consumer behaviour and products. Te opportunities to link diferent types of data is exciting but must be research-question-led to avoid digging for non-existent causal links. Te methods and access to data is still a barrier but open access is key to solving this. Big data will probably only help in flling in the details of our knowledge on ethical consumption and on products, but this can only help our decision making…(More)”.
