Introducing CitizENGAGE – How Citizens Get Things Done

Curated on Posted on by Stefaan Verhulst

Open Gov Partnership: “In a world full of autocracy, bureaucracy, and opacity, it can be easy to feel like you’re fighting an uphill battle against these trends.

Trust in government is at historic lows. Autocratic leaders have taken the reins in countries once thought bastions of democracy. Voter engagement has been declining around the globe for years.

Despite this reality, there is another, powerful truth: citizens are using open government to engage in their communities in innovative, exciting ways, bringing government closer and creating a more inclusive system.

These citizens are everywhere.

In Costa Rica, they are lobbying the government for better and fairer housing for indigenous communities.

In Liberia, they are bringing rights to land back to the communities who are threatened by companies on their traditional lands.

In Madrid, they are using technology to make sure you can participate in government – not just every four years, but every day.

In Mongolia, they are changing the face of education and healthcare services by empowering citizens to share their needs with government.

In Paraguay, hundreds of municipal councils are hearing directly from citizens and using their input to shape how needed public services are delivered.

These powerful examples are the inspiration for the Open Government Partnership’s (OGP) new global campaign to CItizENGAGE.  The campaign will share the stories of citizens engaging in government and changing lives for the better.

CitizENGAGE includes videos, photo essays, and impact stories about citizens changing the way government is involved in their lives. These stories talk about the very real impact open government can have on the lives of everyday citizens, and how it can change things as fundamental as schools, roads, and houses.

We invite you to visit CitizENGAGE and find out more about these reforms, and get inspired. Whether or not your government participates in OGP, you can take the lessons from these powerful stories of transformation and use them to make an impact in your own community….(More)”.

Collective Awareness

Curated on Posted on by Stefaan Verhulst

A Conversation with J. Doyne Farmer at the Edge: “Economic failures cause us serious problems. We need to build simulations of the economy at a much more fine-grained level that take advantage of all the data that computer technologies and the Internet provide us with. We need new technologies of economic prediction that take advantage of the tools we have in the 21st century.

Places like the US Federal Reserve Bank make predictions using a system that has been developed over the last eighty years or so. This line of effort goes back to the middle of the 20th century, when people realized that we needed to keep track of the economy. They began to gather data and set up a procedure for having firms fill out surveys, for having the census take data, for collecting a lot of data on economic activity and processing that data. This system is called “national accounting,” and it produces numbers like GDP, unemployment, and so on. The numbers arrive at a very slow timescale. Some of the numbers come out once a quarter, some of the numbers come out once a year. The numbers are typically lagged because it takes a lot of time to process the data, and the numbers are often revised as much as a year or two later. That system has been built to work in tandem with the models that have been built, which also process very aggregated, high-level summaries of what the economy is doing. The data is old fashioned and the models are old fashioned.

It’s a 20th-century technology that’s been refined in the 21st century. It’s very useful, and it represents a high level of achievement, but it is now outdated. The Internet and computers have changed things. With the Internet, we can gather rich, detailed data about what the economy is doing at the level of individuals. We don’t have to rely on surveys; we can just grab the data. Furthermore, with modern computer technology we could simulate what 300 million agents are doing, simulate the economy at the level of the individuals. We can simulate what every company is doing and what every bank is doing in the United States. The model we could build could be much, much better than what we have now. This is an achievable goal.

But we’re not doing that, nothing close to that. We could achieve what I just said with a technological system that’s simpler than Google search. But we’re not doing that. We need to do it. We need to start creating a new technology for economic prediction that runs side-by-side with the old one, that makes its predictions in a very different way. This could give us a lot more guidance about where we’re going and help keep the economic shit from hitting the fan as often as it does….(More)”.

America’s Problem Isn’t Too Little Democracy. It’s Too Much.

Curated on Posted on by Stefaan Verhulst

Joshua A. Geltzer at PoliticoMagazine: “Democracy’s lamentations sometimes seem deafening these days. “Democracy is dying,” proclaimed a recent article in Foreign Policy—and another in the Guardian, and yet another in Quartz. We’ve reached “the end of democracy,” avows a new book—as well as an op-ed in the Washington Post.

But what if these perspectives have it all backwards? What if our problem isn’t too little democracy, but too much?

There’s no doubt that democracy in the United States appears on shaky ground. That’s not because 2016 marked the first time in American history that the presidency was captured by a candidate with no political or military experience. It’s not even because Donald Trump did so despite losing the popular vote by almost 3 million ballots, with his adversary garnering the most votes ever cast for a losing presidential candidate.

It’s because the 2016 election revealed new vulnerabilities in our democracy, generated by social media’s explosion and utilized by Russia and Russian-linked actors—possibly including Trump’s team itself. And it’s also because the aftermath of that election has laid bare a Congress so polarized, gridlocked and downright incapacitated that it has proved unable even to keep our government from shutting down and has consistently failed to fulfill its responsibility to exercise meaningful oversight of the executive branch.

What ails us? The current vogue is to place the blame on the inadequacies of our incarnation of democracy. The brilliant Yascha Mounk, for example, argues that the American people may think they’re living in a democracy, but—unbeknownst to them—it’s really all a charade. On Mounk’s account, Americans speak at town halls, organize on behalf of candidates and cast ballots; but, because the game’s been rigged by the powerful, all of that activity doesn’t really matter compared to the influence of the well-placed and well-heeled. In the words of two political scientists quoted favorably by Mounk, what we think of as democracy in action really amounts to “a minuscule, near-zero, statistically non-significant impact upon public policy.”

Some suggest that democracy’s insufficiencies are global, and the defining problem of our times. In his magisterial account of democracy’s fading allure in Hungary and Poland, Roger Cohen echoes earlier scholars in seeing democracy now eclipsed by “competitive authoritarianism, a form of European single-party rule that retains a veneer of democracy while skewing the contest sufficiently to ensure it is likely to yield only one result.”

But while these commentators are right that the cracks are there, the cause is the very opposite of what they claim, at least when it comes to America. The problem isn’t that democracy is in short supply in the United States. It’s that technology has helped to unleash hyper-democratization—a shift away from the mediated, checked republic that America’s founders carefully crafted toward an impulsive, unleashed direct democracy that’s indulging the worst impulses of our most extreme elements.

To put it bluntly, we’re increasingly ruled by an online mob. And it’s a mob getting besieged with misinformation…(More)”.

Hope for Democracy: 30 years of Participatory Budgeting Worldwide

Curated on Posted on by Stefaan Verhulst

Book edited by Nelson Dias: “Hope for Democracy” is not only the title of this book, but also the translation of a state of mind infected by innovation and transformative action of many people who in different parts of the world, are engaged in the construction of more lasting and intense ways of living democracy.

The articles found within this publication are “scales” of a fascinating journey through the paths of participatory democracy, from North America to Asia, Oceania to Europe, and Latin America to Africa.

With no single directions, it is up to the readers to choose the route they want to travel, being however invited to reinforce this “democratizing wave”, encouraging the emergence of new and renewed spaces of participation in the territories where they live and work….(More)

What if people were paid for their data?

Curated on Posted on by Stefaan Verhulst

The Economist: “Data Slavery” Jennifer Lyn Morone, an American artist, thinks this is the state in which most people now live. To get free online services, she laments, they hand over intimate information to technology firms. “Personal data are much more valuable than you think,” she says. To highlight this sorry state of affairs, Ms Morone has resorted to what she calls “extreme capitalism”: she registered herself as a company in Delaware in an effort to exploit her personal data for financial gain. She created dossiers containing different subsets of data, which she displayed in a London gallery in 2016 and offered for sale, starting at £100 ($135). The entire collection, including her health data and social-security number, can be had for £7,000.

Only a few buyers have taken her up on this offer and she finds “the whole thing really absurd”. ..Given the current state of digital affairs, in which the collection and exploitation of personal data is dominated by big tech firms, Ms Morone’s approach, in which individuals offer their data for sale, seems unlikely to catch on. But what if people really controlled their data—and the tech giants were required to pay for access? What would such a data economy look like?…

Labour, like data, is a resource that is hard to pin down. Workers were not properly compensated for labour for most of human history. Even once people were free to sell their labour, it took decades for wages to reach liveable levels on average. History won’t repeat itself, but chances are that it will rhyme, Mr Weyl predicts in “Radical Markets”, a provocative new book he has co-written with Eric Posner of the University of Chicago. He argues that in the age of artificial intelligence, it makes sense to treat data as a form of labour.

To understand why, it helps to keep in mind that “artificial intelligence” is something of a misnomer. Messrs Weyl and Posner call it “collective intelligence”: most AI algorithms need to be trained using reams of human-generated examples, in a process called machine learning. Unless they know what the right answers (provided by humans) are meant to be, algorithms cannot translate languages, understand speech or recognise objects in images. Data provided by humans can thus be seen as a form of labour which powers AI. As the data economy grows up, such data work will take many forms. Much of it will be passive, as people engage in all kinds of activities—liking social-media posts, listening to music, recommending restaurants—that generate the data needed to power new services. But some people’s data work will be more active, as they make decisions (such as labelling images or steering a car through a busy city) that can be used as the basis for training AI systems….

But much still needs to happen for personal data to be widely considered as labour, and paid for as such. For one thing, the right legal framework will be needed to encourage the emergence of a new data economy. The European Union’s new General Data Protection Regulation, which came into effect in May, already gives people extensive rights to check, download and even delete personal data held by companies. Second, the technology to keep track of data flows needs to become much more capable. Research to calculate the value of particular data to an AI service is in its infancy.

Third, and most important, people will have to develop a “class consciousness” as data workers. Most people say they want their personal information to be protected, but then trade it away for nearly nothing, something known as the “privacy paradox”. Yet things may be changing: more than 90% of Americans think being in control of who can get data on them is important, according to the Pew Research Centre, a think-tank….(More)”.

Small Wars, Big Data: The Information Revolution in Modern Conflict

Curated on Posted on by Stefaan Verhulst

Book by Eli Berman, Joseph H. Felter & Jacob N. Shapiro: “The way wars are fought has changed starkly over the past sixty years. International military campaigns used to play out between large armies at central fronts. Today’s conflicts find major powers facing rebel insurgencies that deploy elusive methods, from improvised explosives to terrorist attacks. Small Wars, Big Datapresents a transformative understanding of these contemporary confrontations and how they should be fought. The authors show that a revolution in the study of conflict–enabled by vast data, rich qualitative evidence, and modern methods—yields new insights into terrorism, civil wars, and foreign interventions. Modern warfare is not about struggles over territory but over people; civilians—and the information they might choose to provide—can turn the tide at critical junctures.

The authors draw practical lessons from the past two decades of conflict in locations ranging from Latin America and the Middle East to Central and Southeast Asia. Building an information-centric understanding of insurgencies, the authors examine the relationships between rebels, the government, and civilians. This approach serves as a springboard for exploring other aspects of modern conflict, including the suppression of rebel activity, the role of mobile communications networks, the links between aid and violence, and why conventional military methods might provide short-term success but undermine lasting peace. Ultimately the authors show how the stronger side can almost always win the villages, but why that does not guarantee winning the war.

Small Wars, Big Data provides groundbreaking perspectives for how small wars can be better strategized and favorably won to the benefit of the local population….(More)”.

Tribal World: Group Identity Is All

Curated on Posted on by Stefaan Verhulst

Amy Chua in Foreign Affairs: “Humans, like other primates, are tribal animals. We need to belong to groups, which is why we love clubs and teams. Once people connect with a group, their identities can become powerfully bound to it. They will seek to benefit members of their group even when they gain nothing personally. They will penalize outsiders, seemingly gratuitously. They will sacrifice, and even kill and die, for their group.

This may seem like common sense. And yet the power of tribalism rarely factors into high-level discussions of politics and international affairs, especially in the United States. In seeking to explain global politics, U.S. analysts and policymakers usually focus on the role of ideology and economics and tend to see nation-states as the most important units of organization. In doing so, they underestimate the role that group identification plays in shaping human behavior. They also overlook the fact that, in many places, the identities that matter most—the ones people will lay down their lives for—are not national but ethnic, regional, religious, sectarian, or clan-based. A recurring failure to grasp this truth has contributed to some of the worst debacles of U.S. foreign policy in the past 50 years: most obviously in Afghanistan and Iraq, but also in Vietnam.

This blindness to the power of tribalism affects not only how Americans see the rest of the world but also how they understand their own society….(More)”.

Can Smart Cities Be Equitable?

Curated on Posted on by Stefaan Verhulst

Homi Kharas and Jaana Remes at Project Syndicate: “Around the world, governments are making cities “smarter” by using data and digital technology to build more efficient and livable urban environments. This makes sense: with urban populations growing and infrastructure under strain, smart cities will be better positioned to manage rapid change.

But as digital systems become more pervasive, there is a danger that inequality will deepen unless local governments recognize that tech-driven solutions are as important to the poor as they are to the affluent.

While offline populations can benefit from applications running in the background of daily life – such as intelligent signals that help with traffic flows – they will not have access to the full range of smart-city programs. With smartphones serving as the primary interface in the modern city, closing the digital divide, and extending access to networks and devices, is a critical first step.

City planners can also deploy technology in ways that make cities more inclusive for the poor, the disabled, the elderly, and other vulnerable people. Examples are already abundant.

In New York City, the Mayor’s Public Engagement Unit uses interagency data platforms to coordinate door-to-door outreachto residents in need of assistance. In California’s Santa Clara County, predictive analytics help prioritize shelter space for the homeless. On the London Underground, an app called Wayfindr uses Bluetooth to help visually impaired travelers navigate the Tube’s twisting pathways and escalators.

And in Kolkata, India, a Dublin-based startup called Addressing the Unaddressedhas used GPS to provide postal addresses for more than 120,000 slum dwellers in 14 informal communities. The goal is to give residents a legal means of obtaining biometric identification cards, essential documentation needed to access government services and register to vote.

But while these innovations are certainly significant, they are only a fraction of what is possible.

Public health is one area where small investments in technology can bring big benefits to marginalized groups. In the developing world, preventable illnesses comprise a disproportionate share of the disease burden. When data are used to identify demographic groups with elevated risk profiles, low-cost mobile-messaging campaigns can transmit vital prevention information. So-called “m-health” interventions on issues like vaccinations, safe sex, and pre- and post-natal care have been shown to improve health outcomes and lower health-care costs.

Another area ripe for innovation is the development of technologies that directly aid the elderly….(More)”.

Mapping Puerto Rico’s Hurricane Migration With Mobile Phone Data

Curated on Posted on by Stefaan Verhulst

Martin Echenique and Luis Melgar at CityLab: “It is well known that the U.S. Census Bureau keeps track of state-to-state migration flows. But that’s not the case with Puerto Rico. Most of the publicly known numbers related to the post-Maria diaspora from the island to the continental U.S. were driven by estimates, and neither state nor federal institutions kept track of how many Puerto Ricans have left (or returned) after the storm ravaged the entire territory last September.

But Teralytics, a New York-based tech company with offices in Zurich and Singapore, has developed a map that reflects exactly how, when, and where Puerto Ricans have moved between August 2017 and February 2018. They did it by tracking data that was harvested from a sample of nearly 500,000 smartphones in partnership with one major undisclosed U.S. cell phone carrier….

The usefulness of this kind of geo-referenced data is clear in disaster relief efforts, especially when it comes to developing accurate emergency planning and determining when and where the affected population is moving.

“Generally speaking, people have their phones with them the entire time. This tells you where people are, where they’re going to, coming from, and movement patterns,” said Steven Bellovin, a computer science professor at Columbia University and former chief technologist for the U.S. Federal Trade Commission. “It could be very useful for disaster-relief efforts.”…(More)”.

When Technology Gets Ahead of Society

Curated on Posted on by Stefaan Verhulst

Tarun Khanna at Harvard Business Review: “Drones, originally developed for military purposes, weren’t approved for commercial use in the United States until 2013. When that happened, it was immediately clear that they could be hugely useful to a whole host of industries—and almost as quickly, it became clear that regulation would be a problem. The new technology raised multiple safety and security issues, there was no consensus on who should write rules to mitigate those concerns, and the knowledge needed to develop the rules didn’t yet exist in many cases. In addition, the little flying robots made a lot of people nervous.

Such regulatory, logistical, and social barriers to adopting novel products and services are very common. In fact, technology routinely outstrips society’s ability to deal with it. That’s partly because tech entrepreneurs are often insouciant about the legal and social issues their innovations birth. Although electric cars are subsidized by the federal government, Tesla has run afoul of state and local regulations because it bypasses conventional dealers to sell directly to consumers. Facebook is only now facing up to major regulatory concerns about its use of data, despite being massively successful with users and advertisers.

It’s clear that even as innovations bring unprecedented comfort and convenience, they also threaten old ways of regulating industries, running a business, and making a living. This has always been true. Thus early cars weren’t allowed to go faster than horses, and some 19th-century textile workers used sledgehammers to attack the industrial machinery they feared would displace them. New technology can even upend social norms: Consider how dating apps have transformed the way people meet.

Entrepreneurs, of course, don’t really care that the problems they’re running into are part of a historical pattern. They want to know how they can manage—and shorten—the period between the advent of a technology and the emergence of the rules and new behaviors that allow society to embrace its possibilities.

Interestingly, the same institutional murkiness that pervades nascent industries such as drones and driverless cars is something I’ve also seen in developing countries. And strange though this may sound, I believe that tech entrepreneurs can learn a lot from businesspeople who have succeeded in the world’s emerging markets.

Entrepreneurs in Brazil or Nigeria know that it’s pointless to wait for the government to provide the institutional and market infrastructure their businesses need, because that will simply take too long. They themselves must build support structures to compensate for what Krishna Palepu and I have referred to in earlier writings as “institutional voids.” They must create the conditions that will allow them to create successful products or services.

Tech-forward entrepreneurs in developed economies may want to believe that it’s not their job to guide policy makers and the public—but the truth is that nobody else can play that role. They may favor hardball tactics, getting ahead by evading rules, co-opting regulators, or threatening to move overseas. But in the long term, they’d be wiser to use soft power, working with a range of partners to co-create the social and institutional fabric that will support their growth—as entrepreneurs in emerging markets have done.…(More)”.