Book edited by André Corrêa d’Almeida: “Innovation is often presented as being in the exclusive domain of the private sector. Yet despite widespread perceptions of public-sector inefficiency, government agencies have much to teach us about how technological and social advances occur. Improving governance at the municipal level is critical to the future of the twenty-first-century city, from environmental sustainability to education, economic development, public health, and beyond. In this age of acceleration and massive migration of people into cities around the world, this book explains how innovation from within city agencies and administrations makes urban systems smarter and shapes life in New York City.
Using a series of case studies, Smarter New York City describes the drivers and constraints behind urban innovation, including leadership and organization; networks and interagency collaboration; institutional context; technology and real-time data collection; responsiveness and decision making; and results and impact. Cases include residential organic-waste collection, an NYPD program that identifies the sound of gunshots in real time, and the Vision Zero attempt to end traffic casualties, among others. Challenging the usefulness of a tech-centric view of urban innovation, Smarter New York City brings together a multidisciplinary and integrated perspective to imagine new possibilities from within city agencies, with practical lessons for city officials, urban planners, policy makers, civil society, and potential private-sector partners….(More)”.
Small Data for Big Impact
Liz Luckett at the Stanford Social Innovation Review: “As an investor in data-driven companies, I’ve been thinking a lot about my grandfather—a baker, a small business owner, and, I now realize, a pioneering data scientist. Without much more than pencil, paper, and extraordinarily deep knowledge of his customers in Washington Heights, Manhattan, he bought, sold, and managed inventory while also managing risk. His community was poor, but his business prospered. This was not because of what we celebrate today as the power and predictive promise of big data, but rather because of what I call small data: nuanced market insights that come through regular and trusted interactions.
Big data takes into account volumes of information from largely electronic sources—such as credit cards, pay stubs, test scores—and segments people into groups. As a result, people participating in the formalized economy benefit from big data. But people who are paid in cash and have no recognized accolades, such as higher education, are left out. Small data captures those insights to address this market failure. My grandfather, for example, had critical customer information he carefully gathered over the years: who could pay now, who needed a few days more, and which tabs to close. If he had access to a big data algorithm, it likely would have told him all his clients were unlikely to repay him, based on the fact that they were low income (vs. high income) and low education level (vs. college degree). Today, I worry that in our enthusiasm for big data and aggregated predictions, we often lose the critical insights we can gain from small data, because we don’t collect it. In the process, we are missing vital opportunities to both make money and create economic empowerment.
We won’t solve this problem of big data by returning to my grandfather’s shop floor. What we need is more and better data—a small data movement to supply vital missing links in marketplaces and supply chains the world over. What are the proxies that allow large companies to discern whom among the low income are good customers in the absence of a shopkeeper? At The Social Entrepreneurs’ Fund (TSEF), we are profitably investing in a new breed of data company: enterprises that are intentionally and responsibly serving low-income communities, and generating new and unique insights about the behavior of individuals in the process. The value of the small data they collect is becoming increasingly useful to other partners, including corporations who are willing to pay for it. It is a kind of dual market opportunity that for the first time makes it economically advantageous for these companies to reach the poor. We are betting on small data to transform opportunities and quality of life for the underserved, tap into markets that were once seen as too risky or too costly to reach, and earn significant returns for investors….(More)”.
How Universities Are Tackling Society’s Grand Challenges
Michelle Popowitz and Cristin Dorgelo in Scientific American: “…Universities embarking on Grand Challenge efforts are traversing new terrain—they are making commitments about research deliverables rather than simply committing to invest in efforts related to a particular subject. To mitigate risk, the universities that have entered this space are informally consulting with others regarding effective strategies, but the entire community would benefit from a more formal structure for identifying and sharing “what works.” To address this need, the new Community of Practice for University-Led Grand Challenges—launched at the October 2017 workshop—aims to provide peer support to leaders of university Grand Challenge programs, and to accelerate the adoption of Grand Challenge approaches at more universities supported by cross-sector partnerships.
The university community has identified extensive opportunities for collaboration on these Grand Challenge programs with other sectors:
- Philanthropy can support the development of new Grand Challenge programs at more universities by establishing planning and administration grant programs, convening experts, and providing funding support for documenting these models through white papers and other publications and for evaluation of these programs over time.
- Relevant associations and professional development organizations can host learning sessions about Grand Challenges for university leaders and professionals.
- Companies can collaborate with universities on Grand Challenges research, act as sponsors and hosts for university-led programs and activities, and offer leaders, experts, and other personnel for volunteer advisory roles and tours of duties at universities.
- Federal, State, and local governments and elected officials can provide support for collaboration among government agencies and offices and the research community on Grand Challenges.
Today’s global society faces pressing, complex challenges across many domains—including health, environment, and social justice. Science (including social sciences), technology, the arts, and humanities have critical roles to play in addressing these challenges and building a bright and prosperous future. Universities are hubs for discovery, building new knowledge, and changing understanding of the world. The public values the role universities play in education; yet as a sector, universities are less effective at highlighting their roles as the catalysts of new industries, homes for the fundamental science that leads to new treatments and products, or sources of the evidence on which policy decisions should be made.
By coming together as universities, collaborating with partners, and aiming for ambitious goals to address problems that might seem unsolvable, universities can show commitment to their communities and become beacons of hope….(More)”.
‘Epic Duck Challenge’ shows drones can outdo people at surveying wildlife
Jarrod Hodgson, Aleks Terauds and Lian Pin Koh in the Conversation:”Ecologists are increasingly using drones to gather data. Scientists have used remotely piloted aircraft to estimate the health of fragile polar mosses, to measure and predict the mass of leopard seals, and even to collect whale snot. Drones have also been labelled as game-changers for wildlife population monitoring.
But once the take-off dust settles, how do we know if drones produce accurate data? Perhaps even more importantly, how do the data compare to those gathered using a traditional ground-based approach?
To answer these questions we created the #EpicDuckChallenge, which involved deploying thousands of plastic replica ducks on an Adelaide beach, and then testing various methods of tallying them up.
As we report today in the journal Methods in Ecology and Evolution, drones do indeed generate accurate wildlife population data – even more accurate, in fact, than those collected the old-fashioned way.
Assessing the accuracy of wildlife count data is hard. We can’t be sure of the true number of animals present in a group of wild animals. So, to overcome this uncertainty, we created life-sized, replica seabird colonies, each with a known number of individuals.
From the optimum vantage and in ideal weather conditions, experienced wildlife spotters independently counted the colonies from the ground using binoculars and telescopes. At the same time, a drone captured photographs of each colony from a range of heights. Citizen scientists then used these images to tally the number of animals they could see.
Counts of birds in drone-derived imagery were better than those made by wildlife observers on the ground. The drone approach was more precise and more accurate – it produced counts that were consistently closer to the true number of individuals….(More)”.
An AI That Reads Privacy Policies So That You Don’t Have To
Andy Greenberg at Wired: “…Today, researchers at Switzerland’s Federal Institute of Technology at Lausanne (EPFL), the University of Wisconsin and the University of Michigan announced the release of Polisis—short for “privacy policy analysis”—a new website and browser extension that uses their machine-learning-trained app to automatically read and make sense of any online service’s privacy policy, so you don’t have to.
In about 30 seconds, Polisis can read a privacy policy it’s never seen before and extract a readable summary, displayed in a graphic flow chart, of what kind of data a service collects, where that data could be sent, and whether a user can opt out of that collection or sharing. Polisis’ creators have also built a chat interface they call Pribot that’s designed to answer questions about any privacy policy, intended as a sort of privacy-focused paralegal advisor. Together, the researchers hope those tools can unlock the secrets of how tech firms use your data that have long been hidden in plain sight….
Polisis isn’t actually the first attempt to use machine learning to pull human-readable information out of privacy policies. Both Carnegie Mellon University and Columbia have made their own attempts at similar projects in recent years, points out NYU Law Professor Florencia Marotta-Wurgler, who has focused her own research on user interactions with terms of service contracts online. (One of her own studies showed that only .07 percent of users actually click on a terms of service link before clicking “agree.”) The Usable Privacy Policy Project, a collaboration that includes both Columbia and CMU, released its own automated tool to annotate privacy policies just last month. But Marotta-Wurgler notes that Polisis’ visual and chat-bot interfaces haven’t been tried before, and says the latest project is also more detailed in how it defines different kinds of data. “The granularity is really nice,” Marotta-Wurgler says. “It’s a way of communicating this information that’s more interactive.”…(More)”.
You weren’t supposed to have to think about politics
Bonnie Kristian at The Week: “You were not supposed to have to think about politics.
Not this much, anyway. Good citizenship was not supposed to entail paying obsessive attention to a 24-hour news cycle. It was not supposed to demand conversational knowledge, at any given moment, of at least 15 issues of national importance. It was not supposed to be the task of each American to have An Informed Opinion on What the Government Should Do about every matter of state.
America’s founders never wanted politics to be a major occupation of your mind. It was not supposed to feature prominently among your worries. Most of the time, it was not supposed to be your responsibility.
I know, I know, we learn in grade school that America is a democracy, and each of us must do our part to ensure good governance “of the people, by the people, and for the people.” This may be inspirational for children, but it is not entirely true.
The United States’ government has democratic elements, yes, and, in some ways, it has become more democratic with time. (In other ways, it hasbecome less democratic, and I’ll leave it to the reader to decide whether the net change is a loss or gain.) To say our country is a republic rather than a democracy is also misleading, but it does remind us of an important point: Our federal system is representational. It is not direct democracy. Each of us does not weigh in on everything. Instead, we periodically vote on representatives who will weigh in on our behalf while we do other, better things.
This is with good reason. At the most practical level, direct democracy was always impossible for a country of the United States’ size. And even now, assuming technology could be secure enough to use without concern over hacking and other malicious manipulation, there is cause to reject direct democracy: A system designed to force every responsible citizen to pay constant attention to politics is not desirable.
We elect representatives to do the great bulk of our politicking for us because we have more important things to do. We have families to raise and jobs to work and homes to maintain. We have our own areas of interest and expertise, our own relationships to cultivate. And, crucially, we have limited time, energy, and mental space. Some of us may choose to make politics our hobby or occupation, but all of us should not have to make that choice.
Politics is one aspect of our society. It is one part of many. We all no more need to be politicos, amateur or professional, than we all need to be philosophers or writers or tailors or dog rescuers or plumbers. Philosophy, books, clothes, rescue dogs, and working toilets are all important, just as politics is, but they are not everyone’s concern all the time. They are some people’s profession and the hobbies of others, but for most of us, these and any other field of work or pastime are only occasionally encountered…(More)”
World’s biggest city database shines light on our increasingly urbanised planet
EU Joint Research Centers: “The JRC has launched a new tool with data on all 10,000 urban centres scattered across the globe. It is the largest and most comprehensive database on cities ever published.
With data derived from the JRC’s Global Human Settlement Layer (GHSL), researchers have discovered that the world has become even more urbanised than previously thought.
Populations in urban areas doubled in Africa and grew by 1.1 billion in Asia between 1990 and 2015.
Globally, more than 400 cities have a population between 1 and 5 million. More than 40 cities have 5 to 10 million people, and there are 32 ‘megacities’ with above 10 million inhabitants.
There are some promising signs for the environment: Cities became 25% greener between 2000 and 2015. And although air pollution in urban centres was increasing from 1990, between 2000 and 2015 the trend was reversed.
With every high density area of at least 50,000 inhabitants covered, the city centres database shows growth in population and built-up areas over the past 40 years. Environmental factors tracked include:
- ‘Greenness’: the estimated amount of healthy vegetation in the city centre
- Soil sealing: the covering of the soil surface with materials like concrete and stone, as a result of new buildings, roads and other public and private spaces
- Air pollution: the level of polluting particles such as PM2.5 in the air
- Vicinity to protected areas: the percentage of natural protected space within 30 km distance from the city centre’s border
- Disaster risk-related exposure of population and buildings in low lying areas and on steep slopes.
The data is free to access and open to everyone. It applies big data analytics and a global, people-based definition of cities, providing support to monitor global urbanisation and the 2030 Sustainable Development Agenda.
The information gained from the GHSL is used to map out population density and settlement maps. Satellite, census and local geographic information are used to create the maps….(More)”.
The End of the End of History?
Introduction to Special Issue of The Hedgehog Review: “Although Francis Fukuyama never said the triumph of liberal democracy was inevitable, his qualified declaration of the “the end of history” captured the optimistic, sometimes naive tenor of the early post-Cold War era. But how quickly that confidence faded! Unmistakable signs of history’s resumption began to appear less than two decades after the fall of the Berlin Wall. In its 2008 annual report on political rights and civil liberties around the world, the democracy watchdog Freedom House took troubled note of the reversal of progress in a number of key countries in South Asia, the Middle East, Africa, and the former Soviet space.
This “profoundly disturbing deterioration,” as Freedom House put it, has continued, and not only in countries with fragile democratic institutions. The most recent survey found that “in 2016 it was established democracies—countries rated Free in the report’s ranking system—that dominated the list of countries suffering setbacks.” The report’s authors went on glumly to note that the US election of 2016 “raised fears of a foreign policy divorced from America’s traditional strategic commitments to democracy, human rights, and the rules-based international order that it helped to construct beginning in 1945.” And if this were not enough, they pointed to a growing “nexus” of mutual support between authoritarian regimes and populist movements in both weak and strong liberal democracies.
It would be somewhat reassuring to think the United States is the “exceptional nation” resisting the tide. But President Donald J. Trump’s casual, sometimes caustic, disdain for democratic norms and his inexplicable coziness with Vladimir Putin and lesser authoritarians have raised concerns in America and abroad, particularly among traditional allies.
Disturbing as the behavior of the forty-fifth president is, honesty compels us to recognize that Trump’s presidency is less the cause of America’s democracy woes than the product of them. Surveys and studies, including The Vanishing Center of American Democracy, published by the Institute for Advanced Studies in Culture last year, reveal a steady decline in Americans’ confidence in their political institutions as well as various other bulwarks of a liberal and civil society. A declining faith in democratic norms has only exacerbated the culture war divisions of the last four decades, divisions that have in turn been intensified by what some call a new class war between “credentialed” elites and (mostly) white lower-income earners who see their fortunes declining. And as many have noted, democratic norms are bound to suffer when there are no shared conceptions of truth or objectivity, and when all products of journalism are dismissed, from one partisan angle or another, as “fake news.”
Is it time to declare the end of the end of history, as we tentatively suggest in the title to this issue’s theme? More fundamentally, is there something deeply flawed in what many people have long believed was the crowning achievement of the Enlightenment: not merely the idea of governments of, for, and by the people but states undergirded by commitments to personal and civil liberties. Are we witnessing the exhaustion of the once-vital liberal tradition that supported our politics, both its progressive and conservative strands, and which made politics a (relatively) civil enterprise, and compromise a desirable outcome of that enterprise?
The contributors to this issue propose widely differing answers to these questions. But all agree that the questions are urgent and the stakes are high, not only for America and other liberal democracies but also for the relatively stable global order that emerged after World War II, an order built on faith in the universal worth of liberal principles….(More)”.
Opening Government to Improve Outcomes
Laura Wesley at Canada Beyond 150: “Open Government is a concept. It’s a view into government. It’s an invitation to stakeholders, citizens and civil society to help shape government decisions and actions. It is not a program or policy, yet both can be part of achieving the vision of a government that encourages civic participation, invites accountability and demonstrates transparency. Examples of open government include proactively disclosing financial and human resources-related information online and publishing expenditures that can be displayed visually or as machine-readable charts. These measures are intended to strengthen public sector management.
From my place within the public service, I see opening government as a verb. To me, it’s what we are doing to create opportunities for people – wherever they work or reside – to contribute to the activities that go into governing so that the country reflects the values of those who live in it. Engaging citizens and stakeholders in the context of policy shaping builds trust, seeks others’ perspectives, enables accountability, and allows us to collectively design better policy, programs and services.
What is engagement in the context of public policy?
Engagement processes can be structured and formal like parliamentary committees to study an issue or those that allow for anyone to provide feedback on legislation as it moves through Parliament. They can be done by elected officials or by public servants working on their behalf, for example, through processes that invite stakeholders to comment on proposed regulatory or legislative changes. They can be informal, like hosting conversations online. They can be open and transparent, moderated or unmoderated, multilateral or bilateral. There are many options, yet deciding which methods to employ at the right time can be cloaked in complexity, with much at risk if we get it wrong. So how can we teach “engagement” as a mechanism to improve policy-shaping?
Canada Beyond 150 is a participatory learning program for public servants to experience new ways of developing and delivering public policy. I was excited to learn that engagement, along with design and foresight, was one of the three pillars of the program. My team had mapped some of the system-wide gaps that needed to be filled in order to build the organizational muscle required to engage broadly; this was our chance to understand how to support new public servants through change….(More)”.
A science that knows no country: Pandemic preparedness, global risk, sovereign science
Paper by J. Benjamin Hurlbut: “… examines political norms and relationships associated with governance of pandemic risk. Through a pair of linked controversies over scientific access to H5N1 flu virus and genomic data, it examining the duties, obligations, and allocations of authority articulated around the imperative for globally free-flowing information and around the corollary imperative for a science that is set free to produce such information.
It argues that scientific regimes are laying claim to a kind of sovereignty, particularly in moments where scientific experts call into question the legitimacy of claims grounded in national sovereignty, by positioning the norms of scientific practice, including a commitment to unfettered access to scientific information and to the authority of science to declare what needs to be known, as essential to global governance. Scientific authority occupies a constitutional position insofar as it figures centrally in the repertoire of imaginaries that shape how a global community is imagined: what binds that community together and what shared political commitments, norms, and subjection to delegated authority are seen as necessary for it to be rightly governed….(More)”.