Governments fail to capitalise on swaths of open data

Curated on Posted on by Stefaan Verhulst
Valentina Romei in the Financial Times: “…Behind the push for open data is a desire to make governments more transparent, accountable and efficient — but also to allow businesses to create products and services that spark economic development. The global annual opportunity cost of failing to do this effectively is about $5tn, according to one estimate from McKinsey, the consultancy.

The UK is not the only country falling short, says the Open Data Barometer, which monitors the status of government data across the world. Among the 30 leading governments — those that have championed the open data movement and have made progress over five years — “less than a quarter of the data with the biggest potential for social and economic impact” is truly open. This goal of transparency, it seems, has not proved sufficient for “creating value” — the movement’s latest focus. In 2015, nearly a decade after advocates first discussed the principles of open government data, 62 countries adopted the six Open Data Charter principles — which called for data to be open by default, usable and comparable….

The use of open data has already bore fruit for some countries. In 2015, Japan’s ministry of land, infrastructure and transport set up an open data site aimed at disabled and elderly people. The 7,000 data points published are downloadable and the service can be used to generate a map that shows which passenger terminals on train, bus and ferry networksprovide barrier-free access.

In the US, The Climate Corporation, a digital agriculture company, combined 30 years of weather data and 60 years of crop yield data to help farmers increase their productivity. And in the UK, subscription service Land Insight merges different sources of land data to help individuals and developers compare property information, forecast selling prices, contact land owners and track planning applications…
Open Data 500, an international network of organisations that studies the use and impact of open data, reveals that private companies in South Korea are using government agency data, with technology, advertising and business services among the biggest users. It shows, for example, that Archidraw, a four-year-old Seoul-based company that provides 3D visualisation tools for interior design and property remodelling, has used mapping data from the Ministry of Land, Infrastructure and Transport…(More)”.

Big data analytics to identify illegal construction waste dumping: A Hong Kong study

Curated on Posted on by Stefaan Verhulst

WeishengLu at Resources, Conservation and Recycling: “Illegal dumping, referring to the intentional and criminal abandonment of waste in unauthorized areas, has long plagued governments and environmental agencies worldwide. Despite the tremendous resources spent to combat it, the surreptitious nature of illegal dumping indicates the extreme difficulty in its identification. In 2006, the Construction Waste Disposal Charging Scheme (CWDCS) was implemented, regulating that all construction waste must be disposed of at government waste facilities if not otherwise properly reused or recycled.

While the CWDCS has significantly improved construction waste management in Hong Kong, it has also triggered illegal dumping problems. Inspired by the success of big data in combating urban crime, this paper aims to identify illegal dumping cases by mining a publicly available data set containing more than 9 million waste disposal records from 2011 to 2017. Using behavioral indicators and up-to-date big data analytics, possible drivers for illegal dumping (e.g., long queuing times) were identified. The analytical results also produced a list of 546 waste hauling trucks suspected of involvement in illegal dumping. This paper contributes to the understanding of illegal dumping behavior and joins the global research community in exploring the value of big data, particularly for combating urban crime. It also presents a three-step big data-enabled urban crime identification methodology comprising ‘Behavior characterization’, ‘Big data analytical model development’, and ‘Model training, calibration, and evaluation’….(More)”.

Governments fail to capitalise on swaths of open data

Curated on Posted on by Stefaan Verhulst
Valentina Romei in the Financial Times: “…Behind the push for open data is a desire to make governments more transparent, accountable and efficient — but also to allow businesses to create products and services that spark economic development. The global annual opportunity cost of failing to do this effectively is about $5tn, according to one estimate from McKinsey, the consultancy.

The UK is not the only country falling short, says the Open Data Barometer, which monitors the status of government data across the world. Among the 30 leading governments — those that have championed the open data movement and have made progress over five years — “less than a quarter of the data with the biggest potential for social and economic impact” is truly open. This goal of transparency, it seems, has not proved sufficient for “creating value” — the movement’s latest focus. In 2015, nearly a decade after advocates first discussed the principles of open government data, 62 countries adopted the six Open Data Charter principles — which called for data to be open by default, usable and comparable….

The use of open data has already bore fruit for some countries. In 2015, Japan’s ministry of land, infrastructure and transport set up an open data site aimed at disabled and elderly people. The 7,000 data points published are downloadable and the service can be used to generate a map that shows which passenger terminals on train, bus and ferry networksprovide barrier-free access.

In the US, The Climate Corporation, a digital agriculture company, combined 30 years of weather data and 60 years of crop yield data to help farmers increase their productivity. And in the UK, subscription service Land Insight merges different sources of land data to help individuals and developers compare property information, forecast selling prices, contact land owners and track planning applications…
Open Data 500, an international network of organisations that studies the use and impact of open data, reveals that private companies in South Korea are using government agency data, with technology, advertising and business services among the biggest users. It shows, for example, that Archidraw, a four-year-old Seoul-based company that provides 3D visualisation tools for interior design and property remodelling, has used mapping data from the Ministry of Land, Infrastructure and Transport…(More)”.

Creating Smart Cities

Curated on Posted on by Stefaan Verhulst

Book edited by Claudio Coletta, Leighton Evans, Liam Heaphy, and Rob Kitchin: “In cities around the world, digital technologies are utilized to manage city services and infrastructures, to govern urban life, to solve urban issues and to drive local and regional economies. While “smart city” advocates are keen to promote the benefits of smart urbanism – increased efficiency, sustainability, resilience, competitiveness, safety and security – critics point to the negative effects, such as the production of technocratic governance, the corporatization of urban services, technological lock-ins, privacy harms and vulnerability to cyberattack.

This book, through a range of international case studies, suggests social, political and practical interventions that would enable more equitable and just smart cities, reaping the benefits of smart city initiatives while minimizing some of their perils.

Included are case studies from Ireland, the United States of America, Colombia, the Netherlands, Singapore, India and the United Kingdom. These chapters discuss a range of issues including political economy, citizenship, standards, testbedding, urban regeneration, ethics, surveillance, privacy and cybersecurity. This book will be of interest to urban policymakers, as well as researchers in Regional Studies and Urban Planning…(More)”.

The biggest pandemic risk? Viral misinformation

Curated on Posted on by Stefaan Verhulst

Heidi J. Larson at Nature: “A hundred years ago this month, the death rate from the 1918 influenza was at its peak. An estimated 500 million people were infected over the course of the pandemic; between 50 million and 100 million died, around 3% of the global population at the time.

A century on, advances in vaccines have made massive outbreaks of flu — and measles, rubella, diphtheria and polio — rare. But people still discount their risks of disease. Few realize that flu and its complications caused an estimated 80,000 deaths in the United States alone this past winter, mainly in the elderly and infirm. Of the 183 children whose deaths were confirmed as flu-related, 80% had not been vaccinated that season, according to the US Centers for Disease Control and Prevention.

I predict that the next major outbreak — whether of a highly fatal strain of influenza or something else — will not be due to a lack of preventive technologies. Instead, emotional contagion, digitally enabled, could erode trust in vaccines so much as to render them moot. The deluge of conflicting information, misinformation and manipulated information on social media should be recognized as a global public-health threat.

So, what is to be done? The Vaccine Confidence Project, which I direct, works to detect early signals of rumours and scares about vaccines, and so to address them before they snowball. The international team comprises experts in anthropology, epidemiology, statistics, political science and more. We monitor news and social media, and we survey attitudes. We have also developed a Vaccine Confidence Index, similar to a consumer-confidence index, to track attitudes.

Emotions around vaccines are volatile, making vigilance and monitoring crucial for effective public outreach. In 2016, our project identified Europe as the region with the highest scepticism around vaccine safety (H. J. Larson et al. EBioMedicine 12, 295–301; 2016). The European Union commissioned us to re-run the survey this summer; results will be released this month. In the Philippines, confidence in vaccine safety dropped from 82% in 2015 to 21% in 2018 (H. J. Larson et al. Hum. Vaccines Immunother. https://doi.org/10.1080/21645515.2018.1522468; 2018), after legitimate concerns arose about new dengue vaccines. Immunization rates for established vaccines for tetanus, polio, tetanus and more also plummeted.

We have found that it is useful to categorize misinformation into several levels….(More).

Many Around the World Are Disengaged From Politics

Curated on Posted on by Stefaan Verhulst

Richard Wike and Alexandra Castillo at Pew Research Center: “An engaged citizenry is often considered a sign of a healthy democracy. High levels of political and civic participation increase the likelihood that the voices of ordinary citizens will be heard in important debates, and they confer a degree of legitimacy on democratic institutions. However, in many nations around the world, much of the public is disengaged from politics.

To better understand public attitudes toward civic engagement, Pew Research Center conducted face-to-face surveys in 14 nations encompassing a wide range of political systems. The study, conducted in collaboration with the Center for Strategic and International Studies (CSIS) as part of their International Consortium on Closing Civic Space (iCon), includes countries from Africa, Latin America, Europe, the Middle East and Southeast Asia. Because it does not represent every region, the study cannot reflect the globe as a whole. But with 14,875 participants across such a wide variety of countries, it remains a useful snapshot of key, cross-national patterns in civic life.

The survey finds that, aside from voting, relatively few people take part in other forms of political and civic participation. Still, some types of engagement are more common among young people, those with more education, those on the political left and social network users. And certain issues – especially health care, poverty and education – are more likely than others to inspire political action. Here are eight key takeaways from the survey, which was conducted from May 20 to Aug. 12, 2018, via face-to-face interviews.

Most people vote, but other forms of participation are much less common. Across the 14 nations polled, a median of 78% say they have voted at least once in the past. Another 9% say they might vote in the future, while 7% say they would never vote.

With at least 9-in-10 reporting they have voted in the past, participation is highest in three of the four countries with compulsory voting (Brazil, Argentina and Greece). Voting is similarly high in both Indonesia (91%) and the Philippines (91%), two countries that do not have compulsory voting laws.

The lowest percentage is found in Tunisia (62%), which has only held two national elections since the Jasmine Revolution overthrew long-serving President Zine El Abidine Ben Ali in 2011 and spurred the Arab Spring protests across the Middle East.

Chart showing that beyond voting, political participation is relatively low.

Attending a political campaign event or speech is the second most common type of participation among those surveyed – a median of 33% have done this at least once. Fewer people report participating in volunteer organizations (a median of 27%), posting comments on political issues online (17%), participating in an organized protest (14%) or donating money to a social or political organization (12%)….(More)”.

DNA databases are too white. This man aims to fix that.

Curated on Posted on by Stefaan Verhulst

Interview of Carlos D. Bustamante by David Rotman: “In the 15 years since the Human Genome Project first exposed our DNA blueprint, vast amounts of genetic data have been collected from millions of people in many different parts of the world. Carlos D. Bustamante’s job is to search that genetic data for clues to everything from ancient history and human migration patterns to the reasons people with different ancestries are so varied in their response to common diseases.

Bustamante’s career has roughly spanned the period since the Human Genome Project was completed. A professor of genetics and biomedical data science at Stanford and 2010 winner of a MacArthur genius award, he has helped to tease out the complex genetic variation across different populations. These variants mean that the causes of diseases can vary greatly between groups. Part of the motivation for Bustamante, who was born in Venezuela and moved to the US when he was seven, is to use those insights to lessen the medical disparities that still plague us.

But while it’s an area ripe with potential for improving medicine, it’s also fraught with controversies over how to interpret genetic differences between human populations. In an era still obsessed with race and ethnicity—and marred by the frequent misuse of science in defining the characteristics of different groups—Bustamante remains undaunted in searching for the nuanced genetic differences that these groups display.

Perhaps his optimism is due to his personality—few sentences go by without a “fantastic” or “extraordinarily exciting.” But it is also his recognition as a population geneticist of the incredible opportunity that understanding differences in human genomes presents for improving health and fighting disease.

David Rotman, MIT Technology Review’s editor at large, discussed with Bustamante why it’s so important to include more people in genetic studies and understand the genetics of different populations.

How good are we at making sure that the genomic data we’re collecting is inclusive?

I’m optimistic, but it’s not there yet.

In our 2011 paper, the statistic we had was that more than 96% of participants in genome-wide association studies were of European descent. In the follow-up in 2016, the number went from 96% to around 80%. So that’s getting better. Unfortunately, or perhaps fortunately, a lot of that is due to the entry of China into genetics. A lot of that was due to large-scale studies in Chinese and East Asian populations. Hispanics, for example, make up less than 1% of genome-wide association studies. So we need to do better. Ultimately, we want precision medicine to benefit everybody.

Aside from a fairness issue, why is diversity in genomic data important? What do we miss without it?

First of all, it has nothing to do with political correctness. It has everything to do with human biology and the fact that human populations and the great diaspora of human migrations have left their mark on the human genome. The genetic underpinnings of health and disease have shared components across human populations and things that are unique to different populations….(More)”.

What is the true value of data? New series on the return on investment of data interventions

Curated on Posted on by Stefaan Verhulst

Case studies prepared by Jessica Espey and Hayden Dahmm for  SDSN TReNDS: “But what is the ROI of investing in data for altruistic means–e.g., for sustainable development?

Today, we are launching a series of case studies to answer this question in collaboration with the Global Partnership on Sustainable Development Data. The ten examples we will profile range from earth observation data gathered via satellites to investments in national statistics systems, with costs from just a few hundred thousand dollars (US) per year to millions over decades.

The series includes efforts to revamp existing statistical systems. It also supports the growing movement to invest in less traditional approaches to data collection and analysis beyond statistical systems–such as through private sector data sources or emerging technologies enabled by the growth of the information and communications technology (ICT) sector.

Some highlights from the first five case studies–available now:

An SMS-based system called mTRAC, implemented in Uganda, has supported significant improvements in the country’s health system–including halving of response time to disease outbreaks and reducing medication stock-outs, the latter of which resulted in fewer malaria-related deaths.

NASA’s and the U.S. Geological Survey’s Landsat program–satellites that provide imagery known as earth observation data–is enabling discoveries and interventions across the science and health sectors, and provided an estimated worldwide economic benefit as high as US$2.19 billion as of 2011.

BudgIT, a civil society organization making budget data in Nigeria more accessible to citizens through machine-readable PDFs and complementary online/offline campaigns, is empowering citizens to partake in the federal budget process.

International nonprofit BRAC is ensuring mothers and infants in the slums of Bangladesh are not left behind through a data-informed intervention combining social mapping, local censuses, and real-time data sharing. BRAC estimates that from 2008 to 2017, 1,087 maternal deaths were averted out of the 2,476 deaths that would have been expected based on national statistics.

Atlantic City police are developing new approaches to their patrolling, community engagement, and other activities through risk modeling based on crime and other data, resulting in reductions in homicides and shooting injuries (26 percent) and robberies (37 percent) in just the first year of implementation….(More)”.

Tech Was Supposed to Be Society’s Great Equalizer. What Happened?

Curated on Posted on by Stefaan Verhulst

Derek Thompson at The Atlantic: “Historians may look back at the early 21st century as the Gilded Age 2.0. Not since the late 1800s has the U.S. been so defined by the triad of rapid technological change, gaping economic inequality, and sudden social upheaval.

Ironically, the digital revolution was supposed to be an equalizer. The early boosters of the Internet sprang from the counterculture of the 1960s and the New Communalist movement. Some of them, like Stewart Brand, hoped to spread the sensibilities of hippie communes throughout the wilderness of the web. Others saw the internet more broadly as an opportunity to build a society that amended the failures of the physical world.

But in the last few years, the most successful tech companies have built a new economy that often accentuates the worst parts of the old world they were bent on replacing. Facebook’s platform amplifies preexisting biases—both of ideology and race—and political propaganda. Amazon’s dominion over online retail has allowed it to squash competition, not unlike the railroad monopolies of the 19th century. And Apple, in designing the most profitable product in modern history, has also designed another instrument of harmful behavioral addiction….

The only way to make technology that helps a broad array of people is to consult a broad array of people to make that technology. But the computer industry has a multi-decade history of gender discrimination. It is, perhaps, the industry’s original sin. After World War II, Great Britain was the world’s leader in computing. Its efforts to decipher Nazi codes led to the creation of the world’s first programmable digital computer. But within 30 years, the British advantage in computing and software had withered, in part due to explicit efforts to push women out of the computer-science workforce, according to Marie Hicks’ history, Programmed Inequality.

The tech industry isn’t a digital hippie commune, anymore. It’s the new aristocracy. The largest and fastest growing companies in the world, in both the U.S. and China, are tech giants. It’s our responsibility, as users and voters, to urge these companies to use their political and social power responsibly. “I think absolute power corrupts absolutely,” Broussard said. “In the history of America, we’ve had gilded ages before and we’ve had companies that have had giant monopolies over industries and it hasn’t worked out so great. So I think that one of the things that we need to do as a society is we need to take off our blinders when it comes to technology and we need to kind of examine our techno-chauvinist beliefs and say what kind of a world do we want?”…(More)”.

Google is using AI to predict floods in India and warn users

Curated on Posted on by Stefaan Verhulst

James Vincent at The Verge: “For years Google has warned users about natural disasters by incorporating alerts from government agencies like FEMA into apps like Maps and Search. Now, the company is making predictions of its own. As part of a partnership with the Central Water Commission of India, Google will now alert users in the country about impending floods. The service is only currently available in the Patna region, with the first alert going out earlier this month.

As Google’s engineering VP Yossi Matias outlines in a blog post, these predictions are being made using a combination of machine learning, rainfall records, and flood simulations.

“A variety of elements — from historical events, to river level readings, to the terrain and elevation of a specific area — feed into our models,” writes Matias. “With this information, we’ve created river flood forecasting models that can more accurately predict not only when and where a flood might occur, but the severity of the event as well.”

The US tech giant announced its partnership with the Central Water Commission back in June. The two organizations agreed to share technical expertise and data to work on the predictions, with the Commission calling the collaboration a “milestone in flood management and in mitigating the flood losses.” Such warnings are particularly important in India, where 20 percent of the world’s flood-related fatalities are estimated to occur….(More)”.