Asia – Page 69 – The Living Library

How Data Scientists Are Uncovering War Crimes in Syria

Curated on August 8, 2014August 3, 2018 by Stefaan Verhulst

Lorenzo Franceschi-Bicchierai at Mashable: “For more than three years, Syria has been crippled by a bloody civil war that has laid waste to cities and exacted a heavy civilian toll. But because reporting in Syria is so dangerous, the bloodletting has largely taken place away from the media spotlight. One group of researchers, though, is determined to document every single killing.
Through painstaking data-gathering and assiduous verification, the group Syrian Tracker has tallied 111,915 deaths in the course of the conflict so far.
Syria Tracker gets reports from eyewitnesses and volunteers on the ground. Researchers also cull data from news reports.
The database has yielded some important insights such as possible war crimes committed by the Syrian regime.
Working in collaboration with researchers from the nonprofit organization SumAll.org, the researchers discovered that more women were getting killed in the conflict. In April of 2011, women made up only 1% of those killed. Today, 13% of victims are women, according to the latest data.

Those numbers alone don’t tell the whole story, though. Taking a closer look at how women were killed, the researchers discovered a pattern. Women weren’t random victims of bombings for example. Instead, many were killed by snipers, indicating a deliberate policy to go after female civilians, which would constitute a war crime.
Data on how children were killed suggest a similar conclusions. Of the thousands killed in the conflict, at least 700 have been summarily executed and tortured, and about 200 boys under the age of 13 have been killed by sniper fire, according to the data…”

An Infographic That Maps 2,000 Years of Cultural History in 5 Minutes

Curated on August 8, 2014August 3, 2018 by Stefaan Verhulst

Liz Stinson in Wired: “…Last week in the journal Science, the researchers (led by University of Texas art historian Maximilian Schich) published a study that looked at the cultural history of Europe and North America by mapping the birth and deaths of more than 150,000 notable figures—including everyone from Leonardo Da Vinci to Ernest Hemingway. That data was turned into an amazing animated infographic that looks strikingly similar to the illustrated flight paths you find in the back of your inflight magazine. Blue dots indicate a birth, red ones means death.

The researchers used data from Freebase, which touts itself as a “community curated database of people, places and things.” This gives the data a strong western-bent. You’ll notice that many parts of Asia and the Middle East (not to mention pre-colonized North America), are almost wholly ignored in this video. But to be fair, the abstract did acknowledge that the study was focused mainly on Europe and North America.
Still, mapping the geography of cultural migration does gives you some insight about how the kind of culture we value has shifted over the centuries. It’s also a novel lens through which to view our more general history, as those migration trends likely illuminate bigger historical happenings like wars and the building of cross-country infrastructure.

Thousands Can Fact-Check The News With Grasswire

Curated on August 5, 2014May 29, 2019 by Stefaan Verhulst

Cat Zakrzewski in TechCrunch: “We all know you can’t believe everything you read on the Internet. But with Grasswire, you can at least “refute” it.
Austen Allred’s new venture allows news junkies to confirm and refute posts about breaking news. The “real-time newsroom controlled by everyone” divides posts into popular news topics, such as the Malaysia Airlines Crash in Ukraine and the Israeli-Palestinian conflict.
Once you select a topic, you then can upvote posts like Reddit to make them appear at the top of the page. If you see something that is incorrect, you can refute it by posting a source URL to information that disproves it. You can do the same to confirm a report. When you share the post on social media, all of these links are shared with it….
“Obviously there are some journalists who think turning journalism over to people who aren’t professional journalists is dangerous, but we disagree with those people,” Allred said. “I feel like the ability to refute something is not that incredibly difficult. The real power of journalism is when we have massive amounts of people trying to scrutinize whether or not that is accurate enough.”…
But despite these flaws, other attempts to fact check breaking news online have faltered. We still see false reports tweeted by verified accounts all the time, for instance. Something like Grasswire could serve the same role as a correction or a revision posted on an article. By linking to source material that continues to appear every time the post is shared, it is much like an article with an editor’s note that explains why something has been altered or changed.
For journalists trying to balance old-school ethics with new media tools, this option could be crucial. If executed correctly, it could lead to far fewer false reports because thousands of people could be fact checking information, not just a handful in a newsroom….”

The Social Laboratory

Curated on July 30, 2014July 19, 2019 by Stefaan Verhulst

Shane Harris in Foreign Policy: “…, Singapore has become a laboratory not only for testing how mass surveillance and big-data analysis might prevent terrorism, but for determining whether technology can be used to engineer a more harmonious society….Months after the virus abated, Ho and his colleagues ran a simulation using Poindexter’s TIA ideas to see whether they could have detected the outbreak. Ho will not reveal what forms of information he and his colleagues used — by U.S. standards, Singapore’s privacy laws are virtually nonexistent, and it’s possible that the government collected private communications, financial data, public transportation records, and medical information without any court approval or private consent — but Ho claims that the experiment was very encouraging. It showed that if Singapore had previously installed a big-data analysis system, it could have spotted the signs of a potential outbreak two months before the virus hit the country’s shores. Prior to the SARS outbreak, for example, there were reports of strange, unexplained lung infections in China. Threads of information like that, if woven together, could in theory warn analysts of pending crises.
The RAHS system was operational a year later, and it immediately began “canvassing a range of sources for weak signals of potential future shocks,” one senior Singaporean security official involved in the launch later recalled.
The system uses a mixture of proprietary and commercial technology and is based on a “cognitive model” designed to mimic the human thought process — a key design feature influenced by Poindexter’s TIA system. RAHS, itself, doesn’t think. It’s a tool that helps human beings sift huge stores of data for clues on just about everything. It is designed to analyze information from practically any source — the input is almost incidental — and to create models that can be used to forecast potential events. Those scenarios can then be shared across the Singaporean government and be picked up by whatever ministry or department might find them useful. Using a repository of information called an ideas database, RAHS and its teams of analysts create “narratives” about how various threats or strategic opportunities might play out. The point is not so much to predict the future as to envision a number of potential futures that can tell the government what to watch and when to dig further.
The officials running RAHS today are tight-lipped about exactly what data they monitor, though they acknowledge that a significant portion of “articles” in their databases come from publicly available information, including news reports, blog posts, Facebook updates, and Twitter messages. (“These articles have been trawled in by robots or uploaded manually” by analysts, says one program document.) But RAHS doesn’t need to rely only on open-source material or even the sorts of intelligence that most governments routinely collect: In Singapore, electronic surveillance of residents and visitors is pervasive and widely accepted…”

Towards Timely Public Health Decisions to Tackle Seasonal Diseases With Open Government Data

Curated on July 29, 2014August 3, 2018 by Stefaan Verhulst

Paper by Vandana Srivastava and Biplav Srivastava for the Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence : “Improving public health is a major responsibility of any government, and is of major interest to citizens and scientific communities around the world. Here, one sees two extremes. On one hand, tremendous progress has been made in recent years in the understanding of causes, spread and remedies of common and regularly occurring diseases like Dengue, Malaria and Japanese Encephalistis (JE). On the other hand, public agencies treat these diseases in an ad hoc manner without learning from the experiences of previous years. Specifically, they would get alerted once reported cases have already arisen substantially in the known disease season, reactively initiate a few actions and then document the disease impact (cases, deaths) for that period, only to forget this learning in the next season. However, they miss the opportunity to reduce preventable deaths and sickness, and their corresponding economic impact, which scientific progress could have enabled. The gap is universal but very prominent in developing countries like India.
In this paper, we show that if public agencies provide historical disease impact information openly, it can be analyzed with statistical and machine learning techniques, correlated with best emerging practices in disease control, and simulated in a setting to optimize social benefits to provide timely guidance for new disease seasons and regions. We illustrate using open data for mosquito-borne communicable diseases; published results in public health on efficacy of Dengue control methods and apply it on a simulated typical city for maximal benefits with available resources. The exercise helps us further suggest strategies for new regions that may be anywhere in the world, how data could be better recorded by city agencies and what prevention methods should medical community focus on for wider impact.

Full Text: PDF“

Sharing Data Is a Form of Corporate Philanthropy

Curated on July 28, 2014October 10, 2018 by Stefaan Verhulst

Matt Stempeck in HBR Blog: “Ever since the International Charter on Space and Major Disasters was signed in 1999, satellite companies like DMC International Imaging have had a clear protocol with which to provide valuable imagery to public actors in times of crisis. In a single week this February, DMCii tasked its fleet of satellites on flooding in the United Kingdom, fires in India, floods in Zimbabwe, and snow in South Korea. Official crisis response departments and relevant UN departments can request on-demand access to the visuals captured by these “eyes in the sky” to better assess damage and coordinate relief efforts.

DMCii is a private company, yet it provides enormous value to the public and social sectors simply by periodically sharing its data.
Back on Earth, companies create, collect, and mine data in their day-to-day business. This data has quickly emerged as one of this century’s most vital assets. Public sector and social good organizations may not have access to the same amount, quality, or frequency of data. This imbalance has inspired a new category of corporate giving foreshadowed by the 1999 Space Charter: data philanthropy.
The satellite imagery example is an area of obvious societal value, but data philanthropy holds even stronger potential closer to home, where a wide range of private companies could give back in meaningful ways by contributing data to public actors. Consider two promising contexts for data philanthropy: responsive cities and academic research.
The centralized institutions of the 20th century allowed for the most sophisticated economic and urban planning to date. But in recent decades, the information revolution has helped the private sector speed ahead in data aggregation, analysis, and applications. It’s well known that there’s enormous value in real-time usage of data in the private sector, but there are similarly huge gains to be won in the application of real-time data to mitigate common challenges.
What if sharing economy companies shared their real-time housing, transit, and economic data with city governments or public interest groups? For example, Uber maintains a “God’s Eye view” of every driver on the road in a city:

Imagine combining this single data feed with an entire portfolio of real-time information. An early leader in this space is the City of Chicago’s urban data dashboard, WindyGrid. The dashboard aggregates an ever-growing variety of public datasets to allow for more intelligent urban management.

Over time, we could design responsive cities that react to this data. A responsive city is one where services, infrastructure, and even policies can flexibly respond to the rhythms of its denizens in real-time. Private sector data contributions could greatly accelerate these nascent efforts.
Data philanthropy could similarly benefit academia. Access to data remains an unfortunate barrier to entry for many researchers. The result is that only researchers with access to certain data, such as full-volume social media streams, can analyze and produce knowledge from this compelling information. Twitter, for example, sells access to a range of real-time APIs to marketing platforms, but the price point often exceeds researchers’ budgets. To accelerate the pursuit of knowledge, Twitter has piloted a program called Data Grants offering access to segments of their real-time global trove to select groups of researchers. With this program, academics and other researchers can apply to receive access to relevant bulk data downloads, such as an period of time before and after an election, or a certain geographic area.
Humanitarian response, urban planning, and academia are just three sectors within which private data can be donated to improve the public condition. There are many more possible applications possible, but few examples to date. For companies looking to expand their corporate social responsibility initiatives, sharing data should be part of the conversation…
Companies considering data philanthropy can take the following steps:

Inventory the information your company produces, collects, and analyzes. Consider which data would be easy to share and which data will require long-term effort.
Think who could benefit from this information. Who in your community doesn’t have access to this information?
Who could be harmed by the release of this data? If the datasets are about people, have they consented to its release? (i.e. don’t pull a Facebook emotional manipulation experiment).
Begin conversations with relevant public agencies and nonprofit partners to get a sense of the sort of information they might find valuable and their capacity to work with the formats you might eventually make available.
If you expect an onslaught of interest, an application process can help qualify partnership opportunities to maximize positive impact relative to time invested in the program.
Consider how you’ll handle distribution of the data to partners. Even if you don’t have the resources to set up an API, regular releases of bulk data could still provide enormous value to organizations used to relying on less-frequently updated government indices.
Consider your needs regarding privacy and anonymization. Strip the data of anything remotely resembling personally identifiable information (here are some guidelines).
If you’re making data available to researchers, plan to allow researchers to publish their results without obstruction. You might also require them to share the findings with the world under Open Access terms….”

Chief Executive of Nesta on the Future of Government Innovation

Curated on July 27, 2014August 15, 2018 by Stefaan Verhulst

Interview between Rahim Kanani and Geoff Mulgan, CEO of NESTA and member of the MacArthur Research Network on Opening Governance: “Our aspiration is to become a global center of expertise on all kinds of innovation, from how to back creative business start-ups and how to shape innovations tools such as challenge prizes, to helping governments act as catalysts for new solutions,” explained Geoff Mulgan, chief executive of Nesta, the UK’s innovation foundation. In an interview with Mulgan, we discussed their new report, published in partnership with Bloomberg Philanthropies, which highlights 20 of the world’s top innovation teams in government. Mulgan and I also discussed the founding and evolution of Nesta over the past few years, and leadership lessons from his time inside and outside government.
Rahim Kanani: When we talk about ‘innovations in government’, isn’t that an oxymoron?
Geoff Mulgan: Governments have always innovated. The Internet and World Wide Web both originated in public organizations, and governments are constantly developing new ideas, from public health systems to carbon trading schemes, online tax filing to high speed rail networks. But they’re much less systematic at innovation than the best in business and science. There are very few job roles, especially at senior levels, few budgets, and few teams or units. So although there are plenty of creative individuals in the public sector, they succeed despite, not because of the systems around them. Risk-taking is punished not rewarded. Over the last century, by contrast, the best businesses have learned how to run R&D departments, product development teams, open innovation processes and reasonably sophisticated ways of tracking investments and returns.
Kanani: This new report, published in partnership with Bloomberg Philanthropies, highlights 20 of the world’s most effective innovation teams in government working to address a range of issues, from reducing murder rates to promoting economic growth. Before I get to the results, how did this project come about, and why is it so important?
Mulgan: If you fail to generate new ideas, test them and scale the ones that work, it’s inevitable that productivity will stagnate and governments will fail to keep up with public expectations, particularly when waves of new technology—from smart phones and the cloud to big data—are opening up dramatic new possibilities. Mayor Bloomberg has been a leading advocate for innovation in the public sector, and in New York he showed the virtues of energetic experiment, combined with rigorous measurement of results. In the UK, organizations like Nesta have approached innovation in a very similar way, so it seemed timely to collaborate on a study of the state of the field, particularly since we were regularly being approached by governments wanting to set up new teams and asking for guidance.
Kanani: Where are some of the most effective innovation teams working on these issues, and how did you find them?
Mulgan: In our own work at Nesta, we’ve regularly sought out the best innovation teams that we could learn from and this study made it possible to do that more systematically, focusing in particular on the teams within national and city governments. They vary greatly, but all the best ones are achieving impact with relatively slim resources. Some are based in central governments, like Mindlab in Denmark, which has pioneered the use of design methods to reshape government services, from small business licensing to welfare. SITRA in Finland has been going for decades as a public technology agency, and more recently has switched its attention to innovation in public services. For example, providing mobile tools to help patients manage their own healthcare. In the city of Seoul, the Mayor set up an innovation team to accelerate the adoption of ‘sharing’ tools, so that people could share things like cars, freeing money for other things. In south Australia the government set up an innovation agency that has been pioneering radical ways of helping troubled families, mobilizing families to help other families.
Kanani: What surprised you the most about the outcomes of this research?
Mulgan: Perhaps the biggest surprise has been the speed with which this idea is spreading. Since we started the research, we’ve come across new teams being created in dozens of countries, from Canada and New Zealand to Cambodia and Chile. China has set up a mobile technology lab for city governments. Mexico City and many others have set up labs focused on creative uses of open data. A batch of cities across the US supported by Bloomberg Philanthropy—from Memphis and New Orleans to Boston and Philadelphia—are now showing impressive results and persuading others to copy them.

Crowd-Sourced Augmented Realities: Social Media and the Power of Digital Representation

Curated on July 23, 2014August 3, 2018 by Stefaan Verhulst

Pre-publication version of a chapter by Matthew Zook, Mark Graham and Andrew Boulton in S. Mains, J. Cupples, and C. Lukinbeal. Mediated Geographies/Geographies of Media. Springer Science International Handbooks in Human Geography, (Forthcoming): “A key and distinguishing feature of society today is that its increasingly documented by crowd-sourced social media discourse about public experiences. Much of this social media content is geo-referenced and exists in layers of information draped over the physical world, invisible to the naked eye but accessible to range of digital (and often) mobile devices. When we access these information layers, they mediate the mundane practices of everyday life, (e.g., What or who is nearby? How do I move from point A to B) through the creation of augmented realities, i.e., unstable, context dependent representations of places brought temporary into being by combining the space of material and virtual experience.
These augmented realities, as particular representations of locations, places and events, are vigorously promoted or contested and thus become important spots in which power is exercised, much in the same way that maps have long had power to reinforce or challenge the status quo. However, because many of the processes and practices behind the creation of augmented realities are unseen, its power is often overlooked in the process of representation or place-making. This paper highlights the points at which power acts and demonstrate that all representations of place – including augmented realities derived from social media – are products of and productive of, social relationships and associated power relations.”
Building upon a case study of Abbottabad, Pakistan after the raid on Osama bin Laden’s compound we construct a four-part typology of the power relations emerging from social practices that enact augmented realities. These include: Distributed power, the complex and socially/spatially distributed authorship of user-generated geospatial content; Communication power, the ways in which particular representations gain prominence; language is a particularly key variable; Code power, the autonomy of software code to regulate actions, or mediate content, or ordering representations in particular ways; and Timeless power, the ways in which digital representations of place reconfigure temporal relationships, particularly sequence and duration, between people and events.

Indonesian techies crowdsource election results

Curated on July 19, 2014May 29, 2019 by Stefaan Verhulst

Ben Bland in the Financial Times: “Three Indonesian tech experts say they have used crowdsourcing to calculate an accurate result for the country’s contested presidential election in six days, while 4m officials have been beavering away for nearly two weeks counting the votes by hand.

The Indonesian techies, who work for multinational companies, were spurred into action after both presidential candidates claimed victory and accused each other of trying to rig the convoluted counting process, raising fears that the country’s young democracy was under threat.

“We did this to prevent the nation being ripped apart because of two claims to victory that nobody can verify,” said Ainun Najib, who is based in Singapore. “This solution was only possible because all the polling station data were openly available for public scrutiny and verification.”

Mr Najib and two friends took advantage of the decision by the national election commission (KPU) to upload the individual results from Indonesia’s 480,000 polling stations to its website for the first time, in an attempt to counter widespread fears about electoral fraud.

The three Indonesians scraped the voting data from the KPU website on to a database and then recruited 700 friends and acquaintances through Facebook to type in the results and check them. They uploaded the data to a website called kawalpemilu.org, which means “guard the election” in Indonesian.

Throughout the process, Mr Najib said he had to fend off hacking attacks, forcing him to shift data storage to a cloud-based service. The whole exercise cost $10 for a domain name and $0.10 for the data storage….”

Are the Authoritarians Winning?

Curated on July 9, 2014August 3, 2018 by Stefaan Verhulst

Review of several books by Michael Ignatieff in the New York Review of Books: “In the 1930s travelers returned from Mussolini’s Italy, Stalin’s Russia, and Hitler’s Germany praising the hearty sense of common purpose they saw there, compared to which their own democracies seemed weak, inefficient, and pusillanimous.
Democracies today are in the middle of a similar period of envy and despondency. Authoritarian competitors are aglow with arrogant confidence. In the 1930s, Westerners went to Russia to admire Stalin’s Moscow subway stations; today they go to China to take the bullet train from Beijing to Shanghai, and just as in the 1930s, they return wondering why autocracies can build high-speed railroad lines seemingly overnight, while democracies can take forty years to decide they cannot even begin. The Francis Fukuyama moment—when in 1989 Westerners were told that liberal democracy was the final form toward which all political striving was directed—now looks like a quaint artifact of a vanished unipolar moment.
For the first time since the end of the cold war, the advance of democratic constitutionalism has stopped. The army has staged a coup in Thailand and it’s unclear whether the generals will allow democracy to take root in Burma. For every African state, like Ghana, where democratic institutions seem secure, there is a Mali, a Côte d’Ivoire, and a Zimbabwe, where democracy is in trouble.
In Latin America, democracy has sunk solid roots in Chile, but in Mexico and Colombia it is threatened by violence, while in Argentina it struggles to shake off the dead weight of Peronism. In Brazil, the millions who took to the streets last June to protest corruption seem to have had no impact on the cronyism in Brasília. In the Middle East, democracy has a foothold in Tunisia, but in Syria there is chaos; in Egypt, plebiscitary authoritarianism rules; and in the monarchies, absolutism is ascendant.
In Europe, the policy elites keep insisting that the remedy for their continent’s woes is “more Europe” while a third of their electorate is saying they want less of it. From Hungary to Holland, including in France and the UK, the anti-European right gains ground by opposing the European Union generally and immigration in particular. In Russia the democratic moment of the 1990s now seems as distant as the brief constitutional interlude between 1905 and 1914 under the tsar….
It is not at all apparent that “governance innovation,” a bauble Micklethwait and Wooldridge chase across three continents, watching innovators at work making government more efficient in Chicago, Sacramento, Singapore, and Stockholm, will do the trick. The problem of the liberal state is not that it lacks modern management technique, good software, or different schemes to improve the “interface” between the bureaucrats and the public. By focusing on government innovation, Micklethwait and Wooldridge assume that the problem is improving the efficiency of government. But what is required is both more radical and more traditional: a return to constitutional democracy itself, to courts and regulatory bodies that are freed from the power of money and the influence of the powerful; to legislatures that cease to be circuses and return to holding the executive branch to public account while cooperating on measures for which there is a broad consensus; to elected chief executives who understand that they are not entertainers but leaders….”
Books reviewed: