Ostrom in the City: Design Principles and Practices for the Urban Commons


Chapter by Sheila Foster and Christian Iaione in Routledge Handbook of the Study of the Commons (Dan Cole, Blake Hudson, Jonathan Rosenbloom eds.): “If cities are the places where most of the world’s population will be living in the next century, as is predicted, it is not surprising that they have become sites of contestation over use and access to urban land, open space, infrastructure, and culture. The question posed by Saskia Sassen in a recent essay—who owns the city?—is arguably at the root of these contestations and of social movements that resist the enclosure of cities by economic elites (Sassen 2015). One answer to the question of who owns the city is that we all do. In our work we argue that the city is a common good or a “commons”—a shared resource that belongs to all of its inhabitants, and to the public more generally.

We have been writing about the urban commons for the last decade, very much inspired by the work of Jane Jacobs and Elinor Ostrom. The idea of the urban commons captures the ecological view of the city that characterizes Jane Jacobs classic work, The Death and Life of Great American Cities. (Foster 2006) It also builds on Elinor Ostrom’s finding that common resources are capable of being collectively managed by users in ways that support their needs yet sustains the resource over the long run (Ostrom 1990).

Jacobs analyzed cities as complex, organic systems and observed the activity within them at the neighborhood and street level, much like an ecologist would study natural habitats and the species interacting within them. She emphasized the diversity of land use, of people and neighborhoods, and the interaction among them as important to maintaining the ecological balance of urban life in great cities like New York. Jacob’s critique of the urban renewal slum clearance programs of the 1940s and 50s in the United States was focused not just on the destruction of physical neighborhoods, but also on the destruction of the “irreplaceable social capital”—the networks of residents who build and strengthen working relationships over time through trust and voluntary cooperation—necessary for “self-governance” of urban neighborhoods. (Jacobs 1961) As political scientist Douglas Rae has written, this social capital is the “civic fauna” of urbanism (Rae 2003)…(More)”.

Sub-National Democracy and Politics Through Social Media


Book edited by Mehmet Zahid Sobacı and İbrahim Hatipoğlu: “This book analyzes the impact of social media on democracy and politics at the subnational level in developed and developing countries. Over the last decade or so, social media has transformed politics. Offering political actors opportunities to organize, mobilize, and connect with constituents, voters, and supporters, social media has become an important tool in global politics as well as a force for democracy. Most of the available research literature focuses on the impact of social media at the national level; this book fills that gap by analyzing the political uses of social media at the sub-national level.

The book is divided into two parts. Part One, “Social Media for Democracy” includes chapters that analyze potential contributions of social media tools to the realizing of basic values of democracy, such as public engagement, transparency, accountability, participation and collaboration at the sub-national level. Part Two, “Social Media in Politics” focuses on the use of social media tools by political actors in political processes and activities (online campaigns, protests etc.) at the local, regional and state government levels during election and non-election periods. Combining theoretical and empirical analysis, each chapter provides evaluations of overarching issues, questions, and problems as well as real-world experiences with social media, politics, and democracy in a diverse sample of municipalities…(More)”.

Data Science Landscape


Book edited by Usha Mujoo Munshi and Neeta Verma: “The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains….

In all, there are 21 chapters (with 21st Chapter addressing four different core aspects) written by eminent researchers in the field which deal with key issues of S&T, institutional, financial, sustainability, legal, IPR, data protocols, community norms and others, that need attention related to data management practices and protocols, coordinate area activities, and promote common practices and standards of the research community globally. In addition to the aspects touched above, the national / international perspectives of data and its various contours have also been portrayed through case studies in this volume. …(More)”.

Your Data Is Crucial to a Robotic Age. Shouldn’t You Be Paid for It?


The New York Times: “The idea has been around for a bit. Jaron Lanier, the tech philosopher and virtual-reality pioneer who now works for Microsoft Research, proposed it in his 2013 book, “Who Owns the Future?,” as a needed corrective to an online economy mostly financed by advertisers’ covert manipulation of users’ consumer choices.

It is being picked up in “Radical Markets,” a book due out shortly from Eric A. Posner of the University of Chicago Law School and E. Glen Weyl, principal researcher at Microsoft. And it is playing into European efforts to collect tax revenue from American internet giants.

In a report obtained last month by Politico, the European Commission proposes to impose a tax on the revenue of digital companies based on their users’ location, on the grounds that “a significant part of the value of a business is created where the users are based and data is collected and processed.”

Users’ data is a valuable commodity. Facebook offers advertisers precisely targeted audiences based on user profiles. YouTube, too, uses users’ preferences to tailor its feed. Still, this pales in comparison with how valuable data is about to become, as the footprint of artificial intelligence extends across the economy.

Data is the crucial ingredient of the A.I. revolution. Training systems to perform even relatively straightforward tasks like voice translation, voice transcription or image recognition requires vast amounts of data — like tagged photos, to identify their content, or recordings with transcriptions.

“Among leading A.I. teams, many can likely replicate others’ software in, at most, one to two years,” notes the technologist Andrew Ng. “But it is exceedingly difficult to get access to someone else’s data. Thus data, rather than software, is the defensible barrier for many businesses.”

We may think we get a fair deal, offering our data as the price of sharing puppy pictures. By other metrics, we are being victimized: In the largest technology companies, the share of income going to labor is only about 5 to 15 percent, Mr. Posner and Mr. Weyl write. That’s way below Walmart’s 80 percent. Consumer data amounts to work they get free….

The big question, of course, is how we get there from here. My guess is that it would be naïve to expect Google and Facebook to start paying for user data of their own accord, even if that improved the quality of the information. Could policymakers step in, somewhat the way the European Commission did, demanding that technology companies compute the value of consumer data?…(More)”.

Journalism and artificial intelligence


Notes by Charlie Beckett (at LSE’s Media Policy Project Blog) : “…AI and machine learning is a big deal for journalism and news information. Possibly as important as the other developments we have seen in the last 20 years such as online platforms, digital tools and social media. My 2008 book on how journalism was being revolutionised by technology was called SuperMedia because these technologies offered extraordinary opportunities to make journalism much more efficient and effective – but also to transform what we mean by news and how we relate to it as individuals and communities. Of course, that can be super good or super bad.

Artificial intelligence and machine learning can help the news media with its three core problems:

  1. The overabundance of information and sources that leave the public confused
  2. The credibility of journalism in a world of disinformation and falling trust and literacy
  3. The Business model crisis – how can journalism become more efficient – avoiding duplication; be more engaged, add value and be relevant to the individual’s and communities’ need for quality, accurate information and informed, useful debate.

But like any technology they can also be used by bad people or for bad purposes: in journalism that can mean clickbait, misinformation, propaganda, and trolling.

Some caveats about using AI in journalism:

  1. Narratives are difficult to program. Trusted journalists are needed to understand and write meaningful stories.
  2. Artificial Intelligence needs human inputs. Skilled journalists are required to double check results and interpret them.
  3. Artificial Intelligence increases quantity, not quality. It’s still up to the editorial team and developers to decide what kind of journalism the AI will help create….(More)”.

Digitalization, Collective Intelligence, and Entrepreneurship in the Care Sector


Chapter by Erik Lakomaa in Managing Digital Transformation edited by Per Andersson, Staffan Movin, Magnus Mähring, Robin Teigland, and Karl Wennberg: “Parallel to the formal private or public (health) care organisations in Europe, a number of community-driven care projects have emerged. They may supplement the formal organisations by reducing costs or provide care to groups that, for some reason, do not have access to the formal sector. Drawing upon the Ostromian theory of commons and on previous theory and research on open software development (which share some of the characteristics of “open care”), I use historical cases of community-driven care to examine the prospects for such projects to help remedy the cost crisis in the care sector. I explore under which institutional settings “open care” is likely to emerge and when open care projects have potential to scale. It is found that open care is more likely to emerge and prosper when it builds upon existing organisational structures: where the participants do not need to create new hierarchies or governance structures, and where they share common values…(More)”.

Strategies for Governing: The Foundation of Public Administration


Book by Alasdair S. Roberts: “The leaders of modern-day states face an extraordinary challenge. They must devise a strategy for leading their countries toward security, order, prosperity, well-being and justice. They must design and build institutions that will put their strategy into practice. And they must deal with the vicissitudes of time and chance, adapting strategies and institutions in response to altered circumstances and unexpected events. To do this well, leaders need advice about the machinery of government — how it should be designed and built, how it ought to be run, and how it can be disassembled and reconstructed. Researchers who work in the academic discipline of public administration should be expert in providing this sort of advice. And at one time, they did aspire to provide that sort of expertise. But the field of public administration took a wrong turn forty years ago, and slowly moved away from large and important questions about the governance of modern-day states. The purpose of this book is to map a way back to the main road….(More)”.

Data-Driven Regulation and Governance in Smart Cities


Chapter by Sofia Ranchordas and Abram Klop in Berlee, V. Mak, E. Tjong Tjin Tai (Eds), Research Handbook on Data Science and Law (Edward Elgar, 2018): “This paper discusses the concept of data-driven regulation and governance in the context of smart cities by describing how these urban centres harness these technologies to collect and process information about citizens, traffic, urban planning or waste production. It describes how several smart cities throughout the world currently employ data science, big data, AI, Internet of Things (‘IoT’), and predictive analytics to improve the efficiency of their services and decision-making.

Furthermore, this paper analyses the legal challenges of employing these technologies to influence or determine the content of local regulation and governance. It explores in particular three specific challenges: the disconnect between traditional administrative law frameworks and data-driven regulation and governance, the effects of the privatization of public services and citizen needs due to the growing outsourcing of smart cities technologies to private companies; and the limited transparency and accountability that characterizes data-driven administrative processes. This paper draws on a review of interdisciplinary literature on smart cities and offers illustrations of data-driven regulation and governance practices from different jurisdictions….(More)”.

Observation and Experiment: An Introduction to Causal Inference


Book by Paul R. Rosenbaum: “In the daily news and the scientific literature, we are faced with conflicting claims about the effects caused by some treatments, behaviors, and policies. A daily glass of wine prolongs life, or so we are told. Yet we are also told that alcohol can cause life-threatening cancer and that pregnant women should abstain from drinking. Some say that raising the minimum wage decreases inequality while others say it increases unemployment. Investigators once confidently claimed that hormone replacement therapy reduces the risk of heart disease but today investigators confidently claim it raises that risk. How should we study such questions?

Observation and Experiment is an introduction to causal inference from one of the field’s leading scholars. Using minimal mathematics and statistics, Paul Rosenbaum explains key concepts and methods through scientific examples that make complex ideas concrete and abstract principles accessible.

Some causal questions can be studied in randomized trials in which coin flips assign individuals to treatments. But because randomized trials are not always practical or ethical, many causal questions are investigated in nonrandomized observational studies. To illustrate, Rosenbaum draws examples from clinical medicine, economics, public health, epidemiology, clinical psychology, and psychiatry. Readers gain an understanding of the design and interpretation of randomized trials, the ways they differ from observational studies, and the techniques used to remove, investigate, and appraise bias in observational studies. Observation and Experiment is a valuable resource for anyone with a serious interest in the empirical study of human health, behavior, and well-being….(More)”.

Smarter New York City: How City Agencies Innovate


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)”.