Paper by Jeremy de Beer, Paula Millar, Jacquelen Mwangi, Victor B. Nzomo, and Isaac Rutenberg: “This article explains the importance of technology hubs as drivers of innovation, social change, and economic opportunity within and beyond the African continent. The article is the first to thoroughly review and synthesize findings from multi-disciplinary literature, and integrate insights from qualitative data gathered via interviews and fieldwork. It identifies three archetypes of hubs — clusters, companies, and countries — and discusses examples of each archetype using Kenya as a case study. The article discusses potential collaboration, conflicts, and competition among these archetypes of hubs, and concludes with recommendations for future researchers….(More)”
Tech Companies Should Speak Up for Refugees, Not Only High-Skilled Immigrants
Mark Latonero at Harvard Business Review: “The Trump administration’s latest travel ban is back in U.S. federal court. The Fourth Circuit, based in Virginia, and Ninth Circuit, based in San Francisco, are hearing cases challenging the latest executive order banning immigrants and refugees from six Muslim majority countries from entering the United States. Joining the fray are 162 technology companies, whose lawyers collectively filed an amicus brief to both courts. Amazon, eBay, Google, Facebook, Netflix, and Uber are among the companies urging federal judges to rule against the executive order, detailing why it is unjust and how it would hurt their businesses.
While the 40-page brief is filled with arguments in support of immigration, it hardly speaks about refugees, except to note that those seeking protection should be welcomed. Any multinational company with a diverse workforce would be concerned about limits to international hiring and employee travel. But tech companies should also be concerned about the refugee populations that depend on their digital services for safety and survival.
In researching migration and the refugee crisis in Europe, my team and I interviewed over 140 refugees from Syria, and I’ve learned that technology has been crucial to those fleeing war and violence across the Middle East and North Africa. Services like Google Maps, Facebook, WhatsApp, Skype, and Western Union have helped refugees find missing loved ones or locate safe places to sleep. Mobile phones have been essential — refugees have even used them on sinking boats to call rescue officials patrolling the Mediterranean.
Refugees’ reliance on these platforms demonstrates what tech companies often profess: that innovation can empower people to improve their lives and society. Tech companies did not intend for their tools to facilitate one of the largest mass movements of refugees in history, but they have a responsibility to look out for the safety and security of the vulnerable consumers using their products.
Some tech companies have intervened directly in the refugee crisis. Google has created apps to help refugees in Greece find medical facilities and other services; Facebook promised to provide free Wi-Fi in U.N. refugee camps. A day after President Trump issued the first travel ban, which initially suspended the U.S. Refugee Admissions Program, Airbnb announced it would provide free housing to refugees left stranded….
The sector should extend these efforts by making sure its technologies aren’t used to target broad groups of people based on nationality or religion. Already the U.S. Customs and Border Protection (CPB) is asking for the social media accounts — even passwords — of visitors from other counties. The Council on American-Islamic Relations has filed complaints against the CPB, stating that Muslim American citizens have been subjected to enhanced screening that includes scrutiny of their social media accounts and cell phones.
Trump has talked about creating a database to identify and register Muslims in America, including refugees. A number of companies, including IBM, Microsoft, and Salesforce, have stated they will not help build a Muslim registry if asked by the government. In addition, a group of nearly 3,000 American tech employees signed an online pledge promising they would not develop data processing systems to help the U.S. government target individuals based on race, religion, or national origin….(More)”.
Why big-data analysis of police activity is inherently biased
The Conversation: “In early 2017, Chicago Mayor Rahm Emanuel announced a new initiative in the city’s ongoing battle with violent crime. The most common solutions to this sort of problem involve hiring more police officers or working more closely with community members. But Emanuel declared that the Chicago Police Department would expand its use of software, enabling what is called “predictive policing,” particularly in neighborhoods on the city’s south side.
The Chicago police will use data and computer analysis to identify neighborhoods that are more likely to experience violent crime, assigning additional police patrols in those areas. In addition, the software will identify individual people who are expected to become – but have yet to be – victims or perpetrators of violent crimes. Officers may even be assigned to visit those people to warn them against committing a violent crime.
Any attempt to curb the alarming rate of homicides in Chicago is laudable. But the city’s new effort seems to ignore evidence, including recent research from members of our policing study team at the Human Rights Data Analysis Group, that predictive policing tools reinforce, rather than reimagine, existing police practices. Their expanded use could lead to further targeting of communities or people of color.
Working with available data
At its core, any predictive model or algorithm is a combination of data and a statistical process that seeks to identify patterns in the numbers. This can include looking at police data in hopes of learning about crime trends or recidivism. But a useful outcome depends not only on good mathematical analysis: It also needs good data. That’s where predictive policing often falls short.
Machine-learning algorithms learn to make predictions by analyzing patterns in an initial training data set and then look for similar patterns in new data as they come in. If they learn the wrong signals from the data, the subsequent analysis will be lacking.
This happened with a Google initiative called “Flu Trends,” which was launched in 2008 in hopes of using information about people’s online searches to spot disease outbreaks. Google’s systems would monitor users’ searches and identify locations where many people were researching various flu symptoms. In those places, the program would alert public health authorities that more people were about to come down with the flu.
But the project failed to account for the potential for periodic changes in Google’s own search algorithm. In an early 2012 update, Google modified its search tool to suggest a diagnosis when users searched for terms like “cough” or “fever.” On its own, this change increased the number of searches for flu-related terms. But Google Flu Trends interpreted the data as predicting a flu outbreak twice as big as federal public health officials expected and far larger than what actually happened.
Criminal justice data are biased
The failure of the Google Flu Trends system was a result of one kind of flawed data – information biased by factors other than what was being measured. It’s much harder to identify bias in criminal justice prediction models. In part, this is because police data aren’t collected uniformly, and in part it’s because what data police track reflect longstanding institutional biases along income, race and gender lines….(More)”.
What data do we want? Understanding demands for open data among civil society organisations in South Africa
Report by Kaliati, Andrew; Kachieng’a, Paskaliah and de Lanerolle, Indra: “Many governments, international agencies and civil society organisations (CSOs) support and promote open data. Most open government data initiatives have focused on supply – creating portals and publishing information. But much less attention has been given to demand – understanding data needs and nurturing engagement. This research examines the demand for open data in South Africa, and asks under what conditions meeting this demand might influence accountability. Recognising that not all open data projects are developed for accountability reasons, it also examines barriers to using government data for accountability processes. The research team identified and tested ‘use stories’ and ‘use cases’. How did a range of civil society groups with an established interest in holding local government accountable use – or feel that they could use – data in their work? The report identifies and highlights ten broad types of open data use, which they divided into two streams: ‘strategy and planning’ – in which CSOs used government data internally to guide their own actions; and ‘monitoring, mobilising and advocacy’ – in which CSOs undertake outward-facing activities….(More)”
Solving a Global Digital Identity Crisis
Seth Berkley at MIT Technology Review:” In developing countries, one in three children under age five has no record of their existence. Technology can help….Digital identities have become an integral part of modern life, but things like e-passports, digital health records, or Apple Pay really only provide faster, easier, or sometimes smarter ways of accessing services that are already available.
In developing countries it’s a different story. There, digital ID technology can have a profound impact on people’s lives by enabling them to access vital and often life-saving services for the very first time….The challenge is that in poor countries, an increasing number of people live under the radar, invisible to the often archaic, paper-based methods used to certify births, deaths, and marriages. One in three children under age five does not officially exist because their birth wasn’t registered. Even when it is, many don’t have proof in the form of birth certificates. This can have a lasting impact on children’s lives, leaving them vulnerable to neglect and abuse.
In light of this, it is difficult to see how we will meet the SDG16 deadline without a radical solution. What we need are new and affordable digital ID technologies capable of working in poorly resourced settings—for example, where there is no reliable electricity—and yet able to leapfrog current approaches to reach everyone, whether they’re living in remote villages or urban slums.
Such technologies are already emerging as part of efforts to increase global childhood vaccination coverage, with small-scale trials across Africa and Asia. With 86 percent of infants now having access to routine immunization—where they receive all three doses of a diphtheria-pertussis-tetanus vaccine—there are obvious advantages of building on an existing system with such a broad reach.
These systems were designed to help the World Health Organization, UNICEF, and my organization, Gavi, the Vaccine Alliance, close the gap on the one in seven infants still missing out. But they can also be used to help us achieve SDG16.
One, called MyChild, helps countries transition from paper to digital. At first glance it looks like a typical paper booklet on which workers can record health-record details about the child, such as vaccinations, deworming, or nutritional supplements. But each booklet contains a unique identification number and tear-out slips that are collected and scanned later. This means that even if a child’s birth hasn’t been registered, a unique digital record will follow them through childhood. Developed by Swedish startup Shifo, this system has been used to register more than 95,000 infants in Uganda, Afghanistan, and the Gambia, enabling health workers to follow up either in person or using text reminders to parents.
Another system, called Khushi Baby, is entirely paperless and involves giving each child a digital necklace that contains a unique ID number on a near-field communication chip. This can be scanned by community health workers using a cell phone, enabling them to update a child’s digital health records even in remote areas with no cell coverage. Trials in the Indian state of Rajasthan have been carried out across 100 villages to track more than 15,000 vaccination events. An organization called ID2020 is exploring the use of blockchain technology to create access to a unique identity for those who currently lack one….(More)”
Community-based app gets Londoners walking
Springwise: “Apps that measure a user’s exercise have been 10-a-penny for some years, but Go Jauntly is set to offer something brand new and leans much more into crowdsourcing than its rivals. Launched by a new start-up of nature-loving digital experts, and co-developed with Transport for London, Go Jauntly is a community-based initiative that’s as much about exploration and sharing with fellow jaunt-lovers. It also had £10,000 backing from the Ordnance Survey’s Geovation fund that helps start ups using geo-based technology. Big players are involved.
It’s directly tapped into TFL’s dynamic open data, and keeps users informed of everything from congestion to pollution. According to statistics, some 3.6 million journeys a day are made in London using cars and public transport, all of which could have been walked.
“We’re hoping that with Go Jauntly we’re creating technology for good that has a positive impact on society from a health, wellness and environmental perspective,” explains Hana Sutch, CEO and co-founder. “We wanted to start something that would get people out of the house and more active. Our team at Go Jauntly are all nature-loving city dwellers who spend too much of our time deskbound and wanted to be a bit more active.”
Go Jauntly is available now on the App Store with a variety of walks including Richmond and Regent’s Parks, plus a selection of South East London’s cemeteries. This isn’t just a London-centric innovation, anyone in the UK can download it, walk-the-walk, and share their jaunt. The company is hoping to get an Android version out by the end of the year.
Other apps that encourage walking include Norway’s Traffic Agent, and the UK’s Walkability was also designed to get users on the hoof….(More)”
Citizen-generated data in the information ecosystem
Ssanyu Rebecca at Making All Voices Count: “The call for a data revolution by the UN Secretary General’s High Level Panel in the run up to Agenda 2030 stimulated debate and action in terms of innovative ways of generating and sharing data.
Since then, technological advances have supported increased access to data and information through initiatives such as open data platforms and SMS-based citizen reporting systems. The main driving force for these advances is for data to be timely and usable in decision-making. Among the several actors in the data field are the proponents of citizen-generated data (CGD) who assert its potential in the context of the sustainable development agenda.
Nevertheless, there is need for more evidence on the potential of CGD in influencing policy and service delivery, and contributing to the achievement of the sustainable development goals. Our study on Citizen-generated data in the information ecosystem: exploring links for sustainable development sought to obtain answers. Using case studies on the use of CGD in two different scenarios in Uganda and Kenya, Development Research and Training (DRT) and Development Initiatives (DI) collaborated to carry out this one-year study.
In Uganda, we focused on a process of providing unsolicited citizen feedback to duty- bearers and service providers in communities. This was based on the work of Community Resource Trackers, a group of volunteers supported by DRT in five post-conflict districts (Gulu, Kitgum, Pader, Katakwi and Kotido) to identify and track community resources and provide feedback on their use. These included financial and in-kind resources, allocated through central and local government, NGOs and donors.
In Kenya, we focused on a formalised process of CGD involving the Ministry of Education and National Taxpayers Association. The School Report Card (SRC) is an effort to increase parental participation in schooling. SRC is a scorecard for parents to assess the performance of their school each year in ten areas relatingto the quality of education.
What were the findings?
The two processes provided insights into the changes CGD influences in the areas of accountability, resource allocation, service delivery and government response.
Both cases demonstrated the relevance of CGD in improving service delivery. They showed that the uptake of CGD and response by government depends significantly on the quality of relationships that CGD producers create with government, and whether the initiatives relate to existing policy priorities and interests of government.
The study revealed important effects on improving citizen behaviours. Community members who participated in CGD processes, understood their role as citizens and participated fully in development processes, with strong skills, knowledge and confidence.
The Kenya case study revealed that CGD can influence policy change if it is generated and used at large scale, and in direct linkage with a specific sector; but it also revealed that this is difficult to measure.
In Uganda we observed distinct improvements in service delivery and accessibility at the local level – which was the motivation for engaging in CGD in the first instance….(More) (Full Report)”.
Can blockchain technology help poor people around the world?
Most simply, a blockchain is an inexpensive and transparent way to record transactions….A blockchain system, though, inherently enforces rules about authentication and transaction security. That makes it safe and affordable for a person to store any amount of money securely and confidently. While that’s still in the future, blockchain-based systems are already helping people in the developing world in very real ways.
Sending money internationally
In 2016, emigrants working abroad sent an estimated US$442 billion to their families in their home countries. This global flow of cash is a significant factor in the financial well-being of families and societies in developing nations. But the process of sending money can be extremely expensive….Hong Kong’s blockchain-enabled Bitspark has transaction costs so low it charges a flat HK$15 for remittances of less than HK$1,200 (about $2 in U.S. currency for transactions less than $150) and 1 percent for larger amounts. Using the secure digital connections of a blockchain system lets the company bypass existing banking networks and traditional remittance systems.
Similar services helping people send money to the Philippines, Ghana, Zimbabwe, Uganda, Sierra Leone and Rwanda also charge a fraction of the current banking rates.
Insurance
Most people in the developing world lack health and life insurance, primarily because it’s so expensive compared to income. Some of that is because of high administrative costs: For every dollar of insurance premium collected, administrative costs amounted to $0.28 in Brazil, $0.54 in Costa Rica, $0.47 in Mexico and $1.80 in the Philippines. And many people who live on less than a dollar a day have neither the ability to afford any insurance, nor any company offering them services….Consuelo is a blockchain-based microinsurance service backed by Mexican mobile payments company Saldo.mx. Customers can pay small amounts for health and life insurance, with claims verified electronically and paid quickly.
Helping small businesses
Blockchain systems can also help very small businesses, which are often short of cash and also find it expensive – if not impossible – to borrow money. For instance, after delivering medicine to hospitals, small drug retailers in China often wait up to 90 days to get paid. But to stay afloat, these companies need cash. They rely on intermediaries that pay immediately, but don’t pay in full. A $100 invoice to a hospital might be worth $90 right away – and the intermediary would collect the $100 when it was finally paid….
Humanitarian aid
Blockchain technology can also improve humanitarian assistance. Fraud, corruption, discrimination and mismanagement block some money intended to reduce poverty and improve education and health care from actually helping people.In early 2017 the U.N. World Food Program launched the first stage of what it calls “Building Block,” giving food and cash assistance to needy families in Pakistan’s Sindh province. An internet-connected smartphone authenticated and recorded payments from the U.N. agency to food vendors, ensuring the recipients got help, the merchants got paid and the agency didn’t lose track of its money.
…In the future, blockchain-based projects can help people and governments in other ways, too. As many as 1.5 billion people – 20 percent of the world’s population – don’t have any documents that can verify their identity. That limits their ability to use banks, but also can bar their way when trying to access basic human rights like voting, getting health care, going to school and traveling.
Several companies are launching blockchain-powered digital identity programs that can help create and validate individuals’ identities….(More)”
How maps and machine learning are helping to eliminate malaria
Allie Lieber at The Keyword: “Today is World Malaria Day, a moment dedicated to raising awareness and improving access to tools to prevent malaria. The World Health Organization says nearly half of the world’s population is at risk for malaria, and estimates that in 2015 there were 212 million malaria cases resulting in 429,000 deaths. In places with high transmission rates, children under five account for 70 percent of malaria deaths.
DiSARM (Disease Surveillance and Risk Monitoring), a project led by the Malaria Elimination Initiative and supported by the Bill and Melinda Gates Foundationand Clinton Health Access Initiative, is fighting the spread of malaria by mapping the places where malaria could occur. With the help of Google Earth Engine, DiSARM creates high resolution “risk maps” that help malaria control programs identify the areas where they should direct resources for prevention and treatment.
We sat down with Hugh Sturrock, who leads the DiSARM project and is an Assistant Professor of Epidemiology and Biostatistics in the University of California, San Francisco’s Global Health Group, to learn more about DiSARM’s fight against malaria, and how Google fits in….
How does DiSARM use Google Earth Engine to help fight malaria?
If we map where malaria is most likely to occur, we can target those areas for action. Every time someone is diagnosed with malaria in Swaziland and Zimbabwe, a team goes to the village where the infection occurred and collects a GPS point with the precise infection location. Just looking at these points won’t allow you to accurately determine the risk of malaria, though. You also need satellite imagery of conditions like rainfall, temperature, slope and elevation, which affect mosquito breeding and parasite development.
To determine the risk of malaria, DiSARM combines the precise location of the malaria infection, with satellite data of conditions like rainfall, temperature, vegetation, elevation, which affect mosquito breeding. DiSARM’s mobile app can be used by the malaria programs and field teams to target interventions.
Google Earth Engine collects and organizes the public satellite imagery data we need. In the past we had to obtain those images from a range of sources: NASA, USGS and different universities around the world. But with Google Earth Engine, it’s all in one place and can be processed using Google computers. We combine satellite imagery data from Google Earth Engine with the locations of malaria cases collected by a country’s national malaria control program, and create models that let us generate maps identifying areas at greatest risk.
The DiSARM interface gives malaria programs a near real-time view of malaria and predicts risk at specific locations, such as health facility service areas, villages and schools. Overlaying data allows malaria control programs to identify high-risk areas that have insufficient levels of protection and better distribute their interventions….(More)”
Conditional Citizens: Rethinking Children and Young People’s Participation
Book by Catherine Hartung: “This book challenges readers to recognise the conditions that underpin popular approaches to children and young people’s participation, as well as the key processes and institutions that have enabled its rise as a global force of social change in new times. The book draws on the vast international literature, as well as interviews with key practitioners, policy-makers, activists, delegates and academics from Japan, South Africa, Brazil, Nicaragua, Australia, the United Kingdom, Finland, the United States and Italy to examine the emergence of the young citizen as a key global priority in the work of the UN, NGOs, government and academia. In so doing, the book engages contemporary and interdisciplinary debates around citizenship, rights, childhood and youth to examine the complex conditions through which children and young people are governed and invited to govern themselves.
The book argues that much of what is considered ‘children and young people’s participation’ today is part of a wider neoliberal project that emphasises an ideal young citizen who is responsible and rational while simultaneously downplaying the role of systemic inequality and potentially reinforcing rather than overcoming children and young people’s subjugation. Yet the book also moves beyond mere critique and offers suggestive ways to broaden our understanding of children and young people’s participation by drawing on 15 international examples of empirical research from around the world, including the Philippines, Bangladesh, the United Kingdom, North America, Finland, South Africa, Australia and Latin America. These examples provoke practitioners, policy-makers and academics to think differently about children and young people and the possibilities for their participatory citizenship beyond that which serves the political agendas of dominant interest groups…(More)”.