The Stoplight Battling to End Poverty

Curated on Posted on by Stefaan Verhulst

Nick Dall at OZY: “Over midafternoon coffees and Fantas, Robyn-Lee Abrahams and Joyce Paulse — employees at my local supermarket in Cape Town, South Africa — tell me how their lives have changed in the past 18 months. “I never dreamed my daughter would go to college,” says Paulse. “But yesterday we went online together and started filling in the forms.”

Abrahams notes how she used to live hand to mouth. “But now I’ve got a savings account, which I haven’t ever touched.” The sacrifice? “I eat less chocolate now.”

Paulse and Abrahams are just two of thousands of beneficiaries of the Poverty Stoplight, a self-evaluation tool that’s now redefining poverty in countries as diverse as Argentina and the U.K.; Mexico and Tanzania; Chile and Papua New Guinea. By getting families to rank their own economic condition red, yellow or green based upon 50 indicators, the Poverty Stoplight gives families the agency to pull themselves out of poverty and offers organizations insight into whether their programs are working.

Social entrepreneur Martín Burt, who founded Fundación Paraguaya 33 years ago to promote entrepreneurship and economic empowerment in Paraguay, developed the first, paper-based prototype of the Poverty Stoplight in 2010 to help the organization’s microfinance clients escape the poverty cycle….Because poverty is multidimensional, “you can have a family with a proper toilet but no savings,” points out Burt. Determining questionnaires span six different aspects of people’s lives, including softer indicators such as community involvement, self-confidence and family violence. The survey, a series of 50 multiple-choice questions with visual cues, is aimed at households, not individuals, because “you cannot get a 10-year-old girl out of poverty in isolation,” says Burt. Confidentiality is another critical component….(More)”.

The rush for data risks growing the North-South divide

Curated on Posted on by Stefaan Verhulst

Laura Mann and Gianluca Lazzolino at SciDevNet: “Across the world, tech firms and software developers are embedding digital platforms into humanitarian and commercial infrastructures. There’s Jembi and Hello Doctor for the healthcare sector, for example; SASSA and Tamween for social policy; and M-farm, i-Cow, Esoko among many others for agriculture.

While such systems proliferate, it is time we asked some tough questions about who is controlling this data, and for whose benefit. There is a danger that ‘platformisation’ widens the knowledge gap between firms and scientists in poorer countries and those in more advanced economies.

Digital platforms serve three purposes. They improve interactions between service providers and users; gather transactional data about those users; and nudge them towards behaviours, activities and products considered ‘virtuous’, profitable, or valued — often because they generate more data. This data  can be extremely valuable to policy-makers interested in developing interventions, to researchers exploring socio-economic trends and to businesses seeking new markets.

But the development and use of these platforms are not always benign.

Knowledge and power

Digital technologies are knowledge technologies because they record the personal information, assets, behaviour and networks of the people that use them.

Knowledge has a somewhat gentle image of a global good shared openly and evenly across the world. But in reality, it is competitive.
Simply put, knowledge shapes economic rivalry between rich and poor countries. It influences who has power over the rules of the economic game, and it does this in three key ways.

First, firms can use knowledge and technology to become more efficient and competitive in what they do. For example, a farmer can choose to buy technologically enhanced seeds, inputs such as fertilisers, and tools to process their crop.

This technology transfer is not automatic — the farmer must first invest time to learn how to use these tools.  In this sense, economic competition between nations is partly about how well-equipped their people are in using technology effectively.

The second key way in which knowledge impacts global economic competition depends on looking at development as a shift from cut-throat commodity production towards activities that bring higher profits and wages.

In farming, for example, development means moving out of crop production alone into a position of having more control over agricultural inputs, and more involvement in distributing or marketing agricultural goods and services….(More)”.

Causal mechanisms and institutionalisation of open government data in Kenya

Curated on Posted on by Stefaan Verhulst

Paper by Paul W. Mungai: “Open data—including open government data (OGD)—has become a topic of prominence during the last decade. However, most governments have not realised the desired value streams or outcomes from OGD. The Kenya Open Data Initiative (KODI), a Government of Kenya initiative, is no exception with some moments of success but also sustainability struggles. Therefore, the focus for this paper is to understand the causal mechanisms that either enable or constrain institutionalisation of OGD initiatives. Critical realism is ideally suited as a paradigm to identify such mechanisms, but guides to its operationalisation are few. This study uses the operational approach of Bygstad, Munkvold & Volkoff’s six‐step framework, a hybrid approach that melds concepts from existing critical realism models with the idea of affordances. The findings suggest that data demand and supply mechanisms are critical in institutionalising KODI and that, underpinning basic data‐related affordances, are mechanisms engaging with institutional capacity, formal policy, and political support. It is the absence of such elements in the Kenya case which explains why it has experienced significant delays…(More)”.

Is Mass Surveillance the Future of Conservation?

Curated on Posted on by Stefaan Verhulst

Mallory Picket at Slate: “The high seas are probably the most lawless place left on Earth. They’re a portal back in time to the way the world looked for most of our history: fierce and open competition for resources and contested territories. Pirating continues to be a way to make a living.

It’s not a complete free-for-all—most countries require registration of fishing vessels and enforce environmental protocols. Cooperative agreements between countries oversee fisheries in international waters. But the best data available suggests that around 20 percent of the global seafood catch is illegal. This is an environmental hazard because unregistered boats evade regulations meant to protect marine life. And it’s an economic problem for fishermen who can’t compete with boats that don’t pay for licenses or follow the (often expensive) regulations. In many developing countries, local fishermen are outfished by foreign vessels coming into their territory and stealing their stock….

But Henri Weimerskirch, a French ecologist, has a cheap, low-impact way to monitor thousands of square miles a day in real time: He’s getting birds to do it (a project first reported by Hakai). Specifically, albatross, which have a 10-foot wingspan and can fly around the world in 46 days. The birds naturally congregate around fishing boats, hoping for an easy meal, so Weimerskirch is equipping them with GPS loggers that also have radar detection to pick up the ship’s radar (and make sure it is a ship, not an island) and a transmitter to send that data to authorities in real time. If it works, this should help in two ways: It will provide some information on the extent of the unofficial fishing operation in the area, and because the logger will transmit their information in real time, the data will be used to notify French navy ships in the area to check out suspicious boats.

His team is getting ready to deploy about 80 birds in the south Indian Ocean this November.
The loggers attached around the birds’ legs are about the shape and size of a Snickers. The south Indian Ocean is a shared fishing zone, and nine countries, including France (courtesy of several small islands it claims ownership of, a vestige of colonialism), manage it together. But there are big problems with illegal fishing in the area, especially of the Patagonian toothfish (better known to consumers as Chilean seabass)….(More)”

An Overview of National AI Strategies

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Medium Article by Tim Dutton: “The race to become the global leader in artificial intelligence (AI) has officially begun. In the past fifteen months, Canada, China, Denmark, the EU Commission, Finland, France, India, Italy, Japan, Mexico, the Nordic-Baltic region, Singapore, South Korea, Sweden, Taiwan, the UAE, and the UK have all released strategies to promote the use and development of AI. No two strategies are alike, with each focusing on different aspects of AI policy: scientific research, talent development, skills and education, public and private sector adoption, ethics and inclusion, standards and regulations, and data and digital infrastructure.

This article summarizes the key policies and goals of each strategy, as well as related policies and initiatives that have announced since the release of the initial strategies. It also includes countries that have announced their intention to develop a strategy or have related AI policies in place….(More)”.

How Social Media Came To The Rescue After Kerala’s Floods

Curated on Posted on by Stefaan Verhulst

Kamala Thiagarajan at NPR: Devastating rainfall followed by treacherous landslides have killed 210 people since August 8 and displaced over a million in the southern Indian state of Kerala. India’s National Disaster Relief Force launched its biggest ever rescue operation in the state, evacuating over 10,000 people. The Indian army and the navy were deployed as well.

But they had some unexpected assistance.

Thousands of Indian citizens used mobile phone technology and social media platforms to mobilize relief efforts….

In many other cases, it was ordinary folk who harnessed social media and their own resources to play a role in relief and rescue efforts.

As the scope of the disaster became clear, the state government of Kerala reached out to software engineers from around the world. They joined hands with the state-government-run Information Technology Cell, coming together on Slack, a communications platform, to create the website www.keralarescue.in

The website allowed volunteers who were helping with disaster relief in Kerala’s many flood-affected districts to share the needs of stranded people so that authorities could act.

Johann Binny Kuruvilla, a travel blogger, was one of many volunteers. He put in 14-hour shifts at the District Emergency Operations Center in Ernakulam, Kochi.

The first thing he did, he says, was to harness the power of Whatsapp, a critical platform for dispensing information in India. He joined five key Whatsapp groups with hundreds of members who were coordinating rescue and relief efforts. He sent them his number and mentioned that he would be in a position to communicate with a network of police, army and navy personnel. Soon he was receiving an average of 300 distress calls a day from people marooned at home and faced with medical emergencies.

No one trained volunteers like Kuruvilla. “We improvised and devised our own systems to store data,” he says. He documented the information he received on Excel spreadsheets before passing them on to authorities.

He was also the contact point for INSPIRE, a fraternity of mechanical engineering students at a government-run engineering college at Barton Hill in Kerala. The students told him they had made nearly 300 power banks for charging phones, using four 1.5 volt batteries and cables, and, he says, “asked us if we could help them airdrop it to those stranded in flood-affected areas.” A power bank could boost a mobile phone’s charge by 20 percent in minutes, which could be critical for people without access to electricity. Authorities agreed to distribute the power banks, wrapping them in bubble wrap and airdropping them to areas where people were marooned.

Some people took to social media to create awareness of the aftereffects of the flooding.

Anand Appukuttan, 38, is a communications designer. Working as a consultant he currently lives in Chennai, 500 miles by road from Kerala, and designs infographics, mobile apps and software for tech companies. Appukuttan was born and brought up in Kottayam, a city in South West Kerala. When he heard of the devastation caused by the floods, he longed to help. A group of experts on disaster management reached out to him over Facebook on August 18, asking if he would share his time and expertise in creating flyers for awareness; he immediately agreed….(More)”.

China’s Aggressive Surveillance Technology Will Spread Beyond Its Borders

Curated on Posted on by Stefaan Verhulst

Daniel Benaim and Hollie Russon Gilman at Slate: “…What happens when these technologies migrate to bigger, more fractious societies? This won’t happen overnight—and the financial and logistical obstacles to broad implementation are significant. But there is every reason to think that in a decade or two, if not sooner, authoritarians and would-be strongmen in places like Turkey, Hungary, Egypt, or Rwanda will seek these tools and use them to thwart civil society and crush dissent in ways that weaken democracy globally.

Already there are reports that Zimbabwe, for example, is turning to Chinese firms to implement nationwide facial-recognition and surveillance programs, wrapped into China’s infrastructure investments and a larger set of security agreements as well, including for policing online communication. The acquisition of black African faces will help China’s tech sector improve its overall data set.

Malaysia, too, announced new partnerships this spring with China to equip police with wearable facial-recognition cameras. There are quiet reports of Arab Gulf countries turning to China not just for the drone technologies America has denied but also for the authoritarian suite of surveillance, recognition, and data tools perfected in China’s provinces. In a recent article on Egypt’s military-led efforts to build a new capital city beyond Cairo’s chaos and revolutionary squares, a retired general acting as project spokesman declared, “a smart city means a safe city, with cameras and sensors everywhere. There will be a command center to control the entire city.” Who is financing construction? China.

While many governments are making attempts to secure this information, there have been several alarming stories of data leaks. Moreover, these national identifiers create an unprecedented opportunity for state surveillance at scale. What about collecting biometric information in nondemocratic regimes? In 2016, the personal details of nearly 50 million people in Turkey were leaked….

China and other determined authoritarian states may prove undeterrable in their zeal to adopt repressive technologies. A more realistic goal, as Georgetown University scholar Nicholas Wright has argued, is to sway countries on the fence by pointing out the reputational costs of repression and supporting those who are advocating for civil liberties in this domain within their own countries. Democracy promoters (which we hope will one day again include the White House) will also want to recognize the coming changes to the authoritarian public sphere. They can start now in helping vulnerable populations and civil society to gain greater technological literacy to advocate for their rights in new domains. It is not too early for governments and civil society groups alike to study what technological and tactical countermeasures exist to circumvent and disrupt new authoritarian tools.

Seven years ago, techno-optimists expressed hope that a wave of new digital tools for social networking and self-expression could help young people in the Middle East and elsewhere to find their voices. Today, a new wave of Chinese-led technological advances threatens to blossom into what we consider an “Arab spring in reverse”—in which the next digital wave shifts the pendulum back, enabling state domination and repression at a staggering scale and algorithmic effectiveness.

Americans are absolutely right to be urgently focused on countering Russian weaponized hacking and leaking as its primary beneficiary sits in the Oval Office. But we also need to be more proactive in countering the tools of algorithmic authoritarianism that will shape the worldwide future of individual freedom….(More)”.

Denialism: what drives people to reject the truth

Curated on Posted on by Stefaan Verhulst

Keith Kahn-Harris at The Guardian: “…Denialism is an expansion, an intensification, of denial. At root, denial and denialism are simply a subset of the many ways humans have developed to use language to deceive others and themselves. Denial can be as simple as refusing to accept that someone else is speaking truthfully. Denial can be as unfathomable as the multiple ways we avoid acknowledging our weaknesses and secret desires.

Denialism is more than just another manifestation of the humdrum intricacies of our deceptions and self-deceptions. It represents the transformation of the everyday practice of denial into a whole new way of seeing the world and – most important – a collective accomplishment. Denial is furtive and routine; denialism is combative and extraordinary. Denial hides from the truth, denialism builds a new and better truth.

In recent years, the term has been used to describe a number of fields of “scholarship”, whose scholars engage in audacious projects to hold back, against seemingly insurmountable odds, the findings of an avalanche of research. They argue that the Holocaust (and other genocides) never happened, that anthropogenic (human-caused) climate change is a myth, that Aids either does not exist or is unrelated to HIV, that evolution is a scientific impossibility, and that all manner of other scientific and historical orthodoxies must be rejected.

In some ways, denialism is a terrible term. No one calls themselves a “denialist”, and no one signs up to all forms of denialism. In fact, denialism is founded on the assertion that it is not denialism. In the wake of Freud (or at least the vulgarisation of Freud), no one wants to be accused of being “in denial”, and labelling people denialists seems to compound the insult by implying that they have taken the private sickness of denial and turned it into public dogma.

But denial and denialism are closely linked; what humans do on a large scale is rooted in what we do on a small scale. While everyday denial can be harmful, it is also just a mundane way for humans to respond to the incredibly difficult challenge of living in a social world in which people lie, make mistakes and have desires that cannot be openly acknowledged. Denialism is rooted in human tendencies that are neither freakish nor pathological.

All that said, there is no doubt that denialism is dangerous. In some cases, we can point to concrete examples of denialism causing actual harm. In South Africa, President Thabo Mbeki, in office between 1999 and 2008, was influenced by Aids denialists such as Peter Duesberg, who deny the link between HIV and Aids (or even HIV’s existence) and cast doubt on the effectiveness of anti-retroviral drugs. Mbeki’s reluctance to implement national treatment programmes using anti-retrovirals has been estimated to have cost the lives of 330,000 people. On a smaller scale, in early 2017 the Somali-American community in Minnesota was struck by a childhood measles outbreak, as a direct result of proponents of the discredited theory that the MMR vaccine causes autism, persuading parents not to vaccinate their children….(More)”.

Satellites can advance sustainable development by highlighting poverty

Curated on Posted on by Stefaan Verhulst

Cordis: “Estimating poverty is crucial for improving policymaking and advancing the sustainability of a society. Traditional poverty estimation methods such as household surveys and census data incur huge costs however, creating a need for more efficient approaches.

With this in mind, the EU-funded USES project examined how satellite images could be used to estimate household-level poverty in rural regions of developing countries. “This promises to be a radically more cost-effective way of monitoring and evaluating the Sustainable Development Goals,” says Dr Gary Watmough, USES collaborator and Interdisciplinary Lecturer in Land Use and Socioecological Systems at the University of Edinburgh, United Kingdom.

Land use and land cover reveal poverty clues

To achieve its aims, the project investigated how land use and land cover information from satellite data could be linked with household survey data. “We looked particularly at how households use the landscape in the local area for agriculture and other purposes such as collecting firewood and using open areas for grazing cattle,” explains Dr Watmough.

The work also involved examining satellite images to determine which types of land use were related to household wealth or poverty using statistical analysis. “By trying to predict household poverty using the land use data we could see which land use variables were most related to the household wealth in the area,” adds Dr Watmough.

Overall, the USES project found that satellite data could predict poverty particularly the poorest households in the area. Dr Watmough comments: “This is quite remarkable given that we are trying to predict complicated household-level poverty from a simple land use map derived from high-resolution satellite data.”

A study conducted by USES in Kenya found that the most important remotely sensed variable was building size within the homestead. Buildings less than 140 m2 were mostly associated with poorer households, whereas those over 140 m2 tended to be wealthier. The amount of bare ground in agricultural fields and within the homestead region was also important. “We also found that poorer households were associated with a shorter number of agricultural growing days,” says Dr Watmough….(More)”.

The Democratization of Data Science

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Jonathan Cornelissen at Harvard Business School: “Want to catch tax cheats? The government of Rwanda does — and it’s finding them by studying anomalies in revenue-collection data.

Want to understand how American culture is changing? So does a budding sociologist in Indiana. He’s using data science to find patterns in the massive amounts of text people use each day to express their worldviews — patterns that no individual reader would be able to recognize.

Intelligent people find new uses for data science every day. Still, despite the explosion of interest in the data collected by just about every sector of American business — from financial companies and health care firms to management consultancies and the government — many organizations continue to relegate data-science knowledge to a small number of employees.

That’s a mistake — and in the long run, it’s unsustainable. Think of it this way: Very few companies expect only professional writers to know how to write. So why ask onlyprofessional data scientists to understand and analyze data, at least at a basic level?

Relegating all data knowledge to a handful of people within a company is problematic on many levels. Data scientists find it frustrating because it’s hard for them to communicate their findings to colleagues who lack basic data literacy. Business stakeholders are unhappy because data requests take too long to fulfill and often fail to answer the original questions. In some cases, that’s because the questioner failed to explain the question properly to the data scientist.

Why would non–data scientists need to learn data science? That’s like asking why non-accountants should be expected to stay within budget.

These days every industry is drenched in data, and the organizations that succeed are those that most quickly make sense of their data in order to adapt to what’s coming. The best way to enable fast discovery and deeper insights is to disperse data science expertise across an organization.

Companies that want to compete in the age of data need to do three things: share data tools, spread data skills, and spread data responsibility…(More)”.