Tippawan Lorsuwannarat in the Journal of Public and Private Management: “This paper has four main objectives. First, to disseminate a study on the meaning and development of open government. Second, to describe the components of an open government. Third, to examine the international movement situation involved with open government. And last, to analyze the challenges related to the application of open government in Thailandus current digital era. The paper suggests four periods of open government by linking to the concepts of public administration in accordance with the use of information technology in the public sector. The components of open government are consistent with the meaning of open government, including open data, open access, and open engagement. The current international situation of open government considers the ranking of open government and open government partnership. The challenges of adopting open government in Thailand include clear policy regarding open government, digital gap, public organizational culture, laws supporting privacy and data infrastructure….(More)”.
Volunteers teach AI to spot slavery sites from satellite images
This data will then be used to train machine learning algorithms to automatically recognise brick kilns in satellite imagery. If computers can pinpoint the location of such possible slavery sites, then the coordinates could be passed to local charities to investigate, says Kevin Bales, the project leader, at the University of Nottingham, UK.
South Asian brick kilns are notorious as modern-day slavery sites. There are an estimated 5 million people working in brick kilns in South Asia, and of those nearly 70 per cent are thought to be working there under duress – often to pay off financial debts.
Bales is hoping that his machine learning approach will produce a more accurate figure and help organisations on the ground know where to direct their anti-slavery efforts.
It’s great to have a tool for identifying possible forced labour sites, says Sasha Jesperson at St Mary’s University in London. But it is just a start – to really find out how many people are being enslaved in the brick kiln industry, investigators still need to visit every site and work out exactly what’s going on there, she says….
So far, volunteers have identified over 4000 potential slavery sites across 400 satellite images taken via Google Earth. Once these have been checked several times by volunteers, Bales plans to use these images to teach the machine learning algorithm what kilns look like, so that it can learn to recognise them in images automatically….(More)”.
Index: Collective Intelligence
By Hannah Pierce and Audrie Pirkl
The Living Library Index – inspired by the Harper’s Index – provides important statistics and highlights global trends in governance innovation. This installment focuses on collective intelligence and was originally published in 2017.
The Collective Intelligence Universe
- Amount of money that Reykjavik’s Better Neighbourhoods program has provided each year to crowdsourced citizen projects since 2012: € 2 million (Citizens Foundation)
- Number of U.S. government challenges that people are currently participating in to submit their community solutions: 778 (Challenge.gov).
- Percent of U.S. arts organizations used social media to crowdsource ideas in 2013, from programming decisions to seminar scheduling details: 52% (Pew Research)
- Number of Wikipedia members who have contributed to a page in the last 30 days: over 120,000 (Wikipedia Page Statistics)
- Number of languages that the multinational crowdsourced Letters for Black Lives has been translated into: 23 (Letters for Black Lives)
- Number of comments in a Reddit thread that established a more comprehensive timeline of the theater shooting in Aurora than the media: 1272 (Reddit)
- Number of physicians that are members of SERMO, a platform to crowdsource medical research: 800,000 (SERMO)
- Number of citizen scientist projects registered on SciStarter: over 1,500 (Collective Intelligence 2017 Plenary Talk: Darlene Cavalier)
- Entrants to NASA’s 2009 TopCoder Challenge: over 1,800 (NASA)
Infrastructure
- Number of submissions for Block Holm (a digital platform that allows citizens to build “Minecraft” ideas on vacant city lots) within the first six months: over 10,000 (OpenLearn)
- Number of people engaged to The Participatory Budgeting Project in the U.S.: over 300,000. (Participatory Budgeting Project)
- Amount of money allocated to community projects through this initiative: $238,000,000
Health
- Percentage of Internet-using adults with chronic health conditions that have gone online within the US to connect with others suffering from similar conditions: 23% (Pew Research)
- Number of posts to Patient Opinion, a UK based platform for patients to provide anonymous feedback to healthcare providers: over 120,000 (Nesta)
- Percent of NHS health trusts utilizing the posts to improve services in 2015: 90%
- Stories posted per month: nearly 1,000 (The Guardian)
- Number of tumors reported to the English National Cancer Registration each year: over 300,000 (Gov.UK)
- Number of users of an open source artificial pancreas system: 310 (Collective Intelligence 2017 Plenary Talk: Dana Lewis)
Government
- Number of submissions from 40 countries to the 2017 Open (Government) Contracting Innovation Challenge: 88 (The Open Data Institute)
- Public-service complaints received each day via Indonesian digital platform Lapor!: over 500 (McKinsey & Company)
- Number of registered users of Unicef Uganda’s weekly, SMS poll U-Report: 356,468 (U-Report)
- Number of reports regarding government corruption in India submitted to IPaidaBribe since 2011: over 140,000 (IPaidaBribe)
Business
- Reviews posted since Yelp’s creation in 2009: 121 million reviews (Statista)
- Percent of Americans in 2016 who trust online customer reviews as much as personal recommendations: 84% (BrightLocal)
- Number of companies and their subsidiaries mapped through the OpenCorporates platform: 60 million (Omidyar Network)
Crisis Response
- Number of diverse stakeholders digitally connected to solve climate change problems through the Climate CoLab: over 75,000 (MIT ILP Institute Insider)
- Number of project submissions to USAID’s 2014 Fighting Ebola Grand Challenge: over 1,500 (Fighting Ebola: A Grand Challenge for Development)
- Reports submitted to open source flood mapping platform Peta Jakarta in 2016: 5,000 (The Open Data Institute)
Public Safety
- Number of sexual harassment reports submitted to from 50 cities in India and Nepal to SafeCity, a crowdsourcing site and mobile app: over 4,000 (SafeCity)
- Number of people that used Facebook’s Safety Check, a feature that is being used in a new disaster mapping project, in the first 24 hours after the terror attacks in Paris: 4.1 million (Facebook)
What Bhutanese hazelnuts tell us about using data for good
Bruno Sánchez-Andrade Nuño at WEForum: “How are we going to close the $2.5 trillion/year finance gap to achieve the Sustainable Development Goals (SDGs)? Whose money? What business model? How to scale it that much? If you read the recent development economics scholar literature, or Jim Kim’s new financing approach of the World Bank, you might hear the benefits of “blended finance” or “triple bottom lines.” I want to tell you instead about a real case that makes a dent. I want to tell you about Sonam.
Sonam is a 60-year old farmer in rural Bhutan. His children left for the capital, Thimphu, like many are doing nowadays. Four years ago, he decided to plant 2 acres of hazelnuts on an unused rocky piece of his land. Hazelnut saplings, training, and regular supervision all come from “Mountain Hazelnuts”, Bhutan’s only 100% foreign invested company. They fund the costs of the trees and helps him manage his orchard. In return, when the nuts come, he will sell his harvest to them above the guaranteed floor price, which will double his income; in a time when he will be too old to work in his rice field.
You could find similar impact stories for the roughly 10,000 farmers participating in this operation across the country, where the farmers are carefully selected to ensure productivity, maximize social and environmental benefits, such as vulnerable households, or reducing land erosion.
But Sonam also gets a visit from Kinzang every month. This is Kinzang’s first job. Otherwise, he would have moved to the city in hopes of finding a low paying job, but more likely joining the many unemployed youth from the countryside. Kinzang carefully records data on his smart-phone, talks to Sonam and digitally transmits the data back to the company HQ. There, if a problem is recorded with irrigation, pests, or there is any data anomaly, a team of experts (locally trained agronomists) will visit his orchard to figure out a solution.
The whole system of support, monitoring, and optimization live on a carefully crafted data platform that feeds information to and from the farmers, the monitors, the agronomist experts, and local government authorities. It ensures that all 10 million trees are healthy and productive, minimizes extra costs, tests and tracks effectiveness of new treatments….
This is also a story which demonstrates how “Data is the new oil” is not the right approach. If Data is the new oil, you extract value from the data, without much regard to feeding back value to the source of the data. However, in this system, “Data is the new soil.” Data creates a higher ground in which value flows back and forth. It lifts the source of the data -the farmers- into new income generation, it enables optimized operations; and it also helps the whole country: Much of the data (such as road quality used by the monitors) is made open for the benefit of the Bhutanese people, without contradiction or friction with the business model….(More)”.
Computational Propaganda Worldwide
Executive Summary: “The Computational Propaganda Research Project at the Oxford Internet Institute, University of Oxford, has researched the use of social media for public opinion manipulation. The team involved 12 researchers across nine countries who, altogether, interviewed 65 experts, analyzed tens of millions posts on seven different social media platforms during scores of elections, political crises, and national security incidents. Each case study analyzes qualitative, quantitative, and computational evidence collected between 2015 and 2017 from Brazil, Canada, China, Germany, Poland, Taiwan, Russia, Ukraine, and the United States.
Computational propaganda is the use of algorithms, automation, and human curation to purposefully distribute misleading information over social media networks. We find several distinct global trends in computational propaganda. •
- Social media are significant platforms for political engagement and crucial channels for disseminating news content. Social media platforms are the primary media over which young people develop their political identities.
- In some countries this is because some companies, such as Facebook, are effectively monopoly platforms for public life. o In several democracies the majority of voters use social media to share political news and information, especially during elections.
- In countries where only small proportions of the public have regular access to social media, such platforms are still fundamental infrastructure for political conversation among the journalists, civil society leaders, and political elites.
- Social media are actively used as a tool for public opinion manipulation, though in diverse ways and on different topics. o In authoritarian countries, social media platforms are a primary means of social control. This is especially true during political and security crises. o In democracies, social media are actively used for computational propaganda either through broad efforts at opinion manipulation or targeted experiments on particular segments of the public.
- In every country we found civil society groups trying, but struggling, to protect themselves and respond to active misinformation campaigns….(More)”.
Why blockchain could be your next form of ID as a world citizen
Alison DeNisco at TechRepublic: “Blockchain is moving from banking to the refugee crisis, as Microsoft and Accenture on Monday announced a partnership to use the technology to provide a legal form of identification for 1.1 billion people worldwide as part of the global public-private partnership ID2020.
The two tech giants developed a prototype that taps Accenture’s blockchain capabilities and runs on Microsoft Azure. The tech tool uses a person’s biometric data, such as a fingerprint or iris scan, to unlock the record-keeping blockchain technology and create a legal ID. This will allow refugees to have a personal identity record they can access from an app on a smartphone to receive assistance at border crossings, or to access basic services such as healthcare, according to a press release.
The prototype is designed so that personally identifiable information (PII) always exists “off chain,” and is not stored in a centralized system. Citizens use their biometric data to access their information, and chose when to share it—preventing the system from being accessed by tyrannical governments that refugees are fleeing from, as ZDNet noted.
Accenture’s platform is currently used in the Biometric Identity Management System operated by the United Nations High Commissioner for Refugees, which has enrolled more than 1.3 million refugees in 29 nations across Asia, Africa, and the Caribbean. The system is predicted to support more than 7 million refugees from 75 countries by 2020, the press release noted.
“People without a documented identity suffer by being excluded from modern society,” said David Treat, a managing director in Accenture’s global blockchain business, in the press release. “Our prototype is personal, private and portable, empowering individuals to access and share appropriate information when convenient and without the worry of using or losing paper documentation.”
ID is key for accessing education, healthcare, voting, banking, housing, and other family benefits, the press release noted. ID2020’s goal is to create a secure, established digital ID system for all citizens worldwide….
Blockchain will likely play an increasing role in both identification and security moving forward, especially as it relates to the Internet of Things (IoT). For example, Telstra, an Australian telecommunications company, is currently experimenting with a combination of blockchain and biometric security for its smart home products, ZDNet reported….(More)”.
The Digital Footprint of Europe’s Refugees
Pew Research Center: “Migrants leaving their homes for a new country often carry a smartphone to communicate with family that may have stayed behind and to help search for border crossings, find useful information about their journey or search for details about their destination. The digital footprints left by online searches can provide insight into the movement of migrants as they transit between countries and settle in new locations, according to a new Pew Research Center analysis of refugee flows between the Middle East and Europe.1
Refugees from just two Middle Eastern countries — Syria and Iraq — made up a combined 38% of the record 1.3 million people who arrived and applied for asylum in the European Union, Norway and Switzerland in 2015 and a combined 37% of the 1.2 million first-time asylum applications in 2016. Most Syrian and Iraqi refugees during this period crossed from Turkey to Greece by sea, before continuing on to their final destinations in Europe.
Since many refugees from Syria and Iraq speak Arabic as their native, if not only, language, it is possible to identify key moments in their migration by examining trends in internet searches conducted in Turkey using Arabic, as opposed to the dominant Turkic languages in that country. For example, Turkey-based searches for the word “Greece” in Arabic closely mirror 2015 and 2016 fluctuations in the number of refugees crossing the Aegean Sea to Greece. The searches also provide a window into how migrants planned to move across borders — for example, the search term “Greece” was often combined with “smuggler.” In addition, an hourly analysis of searches in Turkey shows spikes in the search term “Greece” during early morning hours, a typical time for migrants making their way across the Mediterranean.
Comparing online searches with migration data
This report’s analysis compares data from internet searches with government and international agency refugee arrival and asylum application data in Europe from 2015 and 2016. Internet searches were captured from Google Trends, a publicly-available analytical tool that standardizes search volume by language and location over time. The analysis examines searches in Arabic, done in Turkey and Germany, for selected words such as “Greece” or “German” that can be linked to migration patterns. For a complete list of search terms employed, see the methodology. Google releases hourly, daily and weekly search data.
Google does not release the actual number of searches conducted but provides a metric capturing the relative change in searches over a specified time period. The metric ranges from 0 to 100 and indicates low- or high-volume search activity for the time period. Predicting or deciphering human behavior from the analysis of internet searches has limitations and remains experimental. But, internet search data does offer a potentially promising way to explore migration flows crossing international borders.
Migration data cited in this report come from two sources. The first is the United Nations High Commissioner for Refugees (UNHCR), which provides data on new arrivals into Greece on a monthly basis. The second is first-time asylum applications from Eurostat, Europe’s statistical agency. Since both Syrian and Iraqi asylum seekers have had fairly high acceptance rates in Europe, it is likely that most Syrian and Iraqi migrants entering during 2015 and 2016 were counted by UNHCR and applied for asylum with European authorities.
The unique circumstances of this Syrian and Iraqi migration — the technology used by refugees, the large and sudden movement of refugees and language groups in transit and destination countries — presents a unique opportunity to integrate the analysis of online searches and migration data. The conditions that permit this type of analysis may not apply in other circumstances where migrants are moving between countries….(More)”
Crowdsourcing the fight against mosquitos
YahooFinance: “That smartphone in your pocket could hold the cure for malaria, dengue and the Zika virus, a noted Stanford University scientist says.
Manu Prakash has a history of using oddball materials for medical research. His latest project, Abuzz, uses sound. Specifically, he asks regular citizens to capture and record mosquitoes. There are 30 unique species, and each has a different wingbeat pattern.
The big idea is to use algorithms to match sample recordings with disease-carrying species, and then recommend strategies to control the population.
Weird science, sure, but don’t knock it. In this age of massive amounts of compute and abundant sensors, dreamers are doing what should be impossible. They are replicating expensive research tools with inexpensive, makeshift solutions. Solutions that can, in many cases, save lives.
In this case, citizen-scientists capture a mosquito in a plastic bottle, poke a hole in the cap and record the buzzing with their phone. Then they send the digital file off to Prakash and his team.
It’s not the first time the Indian-born professor of bioengineering has made something from almost nothing.
In 2013, he saw a centrifuge being used as a doorstop at a Ugandan clinic. The expensive medical device had been donated by well-meaning researchers. But the village had no electricity.
So, Prakash put on his problem-solving hat. He later developed the Paperfuge.
Inspired by a toy whirligig, the paper-and-string device can separate blood cells from plasma. At a cost of 20 cents, the instrument is perfect for “diagnosis in the field,” Prakash told a TED conference audience.
And that’s just one example of how a little innovation can go a long way, for not a lot of money.
While visiting remote clinics in India and Thailand, he noticed expensive microscopes were collecting dust on shelves. They were too bulky to carry into the field. In 2014, his team showed off Foldscope, an inexpensive, lightweight microscope inspired by origami….(More)”.
Big data allows India to map its fight against human trafficking
Nita Bhalla for Reuters: “An Indian charity is using big data to pinpoint human trafficking hot spots in a bid to prevent vulnerable women and girls vanishing from high-risk villages into the sex trade.
My Choices Foundation uses specially designed technology to identify those villages that are most at risk of modern slavery, then launches local campaigns to sound the alarm….
The analytics tool – developed by Australian firm Quantium – uses a range of factors to identify the most dangerous villages.It draws on India’s census, education and health data and factors such as drought risk, poverty levels, education and job opportunities to identify vulnerable areas….
There are an estimated 46 million people enslaved worldwide, with more than 18 million living in India, according to the 2016 Global Slavery Index. The Index was compiled by the Walk Free Foundation, a global organisation seeking to end modern slavery. Many are villagers lured by traffickers with the promise of a good job and an advance payment, only to find themselves or their children forced to work in fields or brick kilns, enslaved in brothels and sold into sexual slavery.
Almost 20,000 women and children were victims of human trafficking in India in 2016, a rise of nearly 25 percent from the previous year, according to government data.While India has strengthened its anti-trafficking policy in recent years, activists say a lack of public awareness remains one of the biggest impediments…(More)”.
Policymakers around the world are embracing behavioural science
The Economist: “In 2013 thousands of school pupils in England received a letter from a student named Ben at the University of Bristol. The recipients had just gained good marks in their GCSEs, exams normally taken at age 16. But they attended schools where few pupils progressed to university at age 18, and those that did were likely to go to their nearest one. That suggested the schools were poor at nurturing aspiration. In his letter Ben explained that employers cared about the reputation of the university a job applicant has attended. He pointed out that top universities can be a cheaper option for poorer pupils, because they give more financial aid. He added that he had not known these facts at the recipient’s age.
The letters had the effect that was hoped for. A study published in March found that after leaving school, the students who received both Ben’s letter and another, similar one some months later were more likely to be at a prestigious university than those who received just one of the letters, and more likely again than those who received none. For each extra student in a better university, the initiative cost just £45 ($58), much less than universities’ own attempts to broaden their intake. And the approach was less heavy-handed than imposing quotas for poorer pupils, an option previous governments had considered. The education department is considering rolling out the scheme….
Some critics feared that nudges would do little good, and that their effects would fade over time. Others warned that governments were straying perilously close to mass manipulation. More recently, some of the findings on which the behavioural sciences rest have been questioned, as researchers in many fields have sought to replicate famous results, and failed.
By and large those doubts have been allayed. Even if specific results turn out to be mistaken, an experimental, iterative, data-driven approach to policymaking is gaining ground in many places, not just in dedicated units, but throughout government.
Nudging is hardly new. “In Genesis, Satan nudged, and Eve did too,” writes Cass Sunstein of Harvard University. From the middle of the 20th century psychologists such as Stanley Milgram and Philip Zimbardo showed how sensitive humans are to social pressure. Daniel Kahneman and Amos Tversky described the mental shortcuts and biases that influence decision-making. Dale Carnegie and Robert Cialdini wrote popular books on persuasion. Firms, especially in technology, retail and advertising, used behavioural science to shape brand perception and customer behaviour—and, ultimately, to sell more stuff.
But governments’ use of psychological insights to achieve policy goals was occasional and unsystematic. According to David Halpern, the boss of BIT, as far as policymakers were concerned, psychology was “the sickly sibling to economics”. That began to change after Mr Sunstein and Richard Thaler, an economist, published “Nudge”, in 2008. The book attacked the assumption of rational decision-making inherent in most economic models and showed how “choice architecture”, or context, could be changed to “nudge” people to make better choices…..
Now many governments are turning to nudges to save money and do better. In 2014 the White House opened the Social and Behavioural Sciences Team. A report that year by Mark Whitehead of Aberystwyth University counted 51 countries in which “centrally directed policy initiatives” were influenced by behavioural sciences. Non-profit organisations such as Ideas42, set up in 2008 at Harvard University, help run dozens of nudge-style trials and programmes around the world. In 2015 the World Bank set up a group that is now applying behavioural sciences in 52 poor countries. The UN is turning to nudging to help hit the “sustainable development goals”, a list of targets it has set for 2030….
Among the most effective nudges are “social” ones: those that communicate norms or draw on people’s networks. A scheme tested in Guatemala with help from the World Bank and BIT tweaked the wording of letters sent to people and firms who had failed to submit tax returns the previous year. The letters that framed non-payment as an active choice, or noted that paying up is more common than evasion, cut the number of non-payers in the following year and increased the average sum paid. And a trial involving diabetes shows that it matters to nudge at the right moment. In 2014 Hamad Medical Corporation, a health-care provider in Qatar, raised take-up rates for diabetes screening by offering it during Ramadan. That meant most Qataris were fasting, so the need to do so before the test imposed no extra burden….(More)”.