After the flood, the flood map: uncovering values at risk


Rebecca Elliott at Work in Progress: “Climate change is making the planet we inhabit a more dangerous place to live. After the devastating 2017 hurricane season in the U.S. and Caribbean, it has become easier, and more frightening, to comprehend what a world of more frequent and severe storms and extreme weather might portend for our families and communities.

When policymakers, officials, and experts talk about such threats, they often do so in a language of “value at risk”: a measurement of the financial worth of assets exposed to potential losses in the face of natural hazards. This language is not only descriptive, expressing the extent of the threat, it is also in some ways prescriptive.

Information about value and risk provides a way for us to exert some control, to “tame uncertainty” and, if not precisely predict, at least to plan and prepare prudently for the future. If we know the value at risk, we can take smart steps to protect it.

This logic can, however, break down in practice.

After Hurricane Sandy in 2012, I went to New York City to find out how residents there, particularly homeowners, were responding to a new landscape of “value at risk.” In the wake of the catastrophe, they had received a new “flood insurance rate map” that expanded the boundaries of the city’s high-risk flood zones.

129 billion dollars of property was now officially “at risk” of flood, an increase of more than 120 percent over the previous map.

And yet, I found that many New Yorkers were less worried about the threat of flooding than they were about the flood map itself. As one Rockaway man put it, the map was “scarier than another storm.”

Far from producing clear strategies of action, the map produced ambivalent actors and outcomes. Even when people took steps to reduce their flood risk, they often did not feel that they were better off or more secure for having done so. How can we understand this?

By examining the social life of the flood insurance rate map, talking to its users (affected residents as well as the experts, officials, and professionals who work with them), I found that the stakes on the ground were bigger than just property values and floods. Other kinds of values were threatened here, and not just from floods, complicating the decision of what to do and when….(More)”.

Internet of Things for Smart Cities: Technologies, Big Data and Security


Book by Waleed Ejaz and Alagan Anpalagan: “This book introduces the concept of smart city as the potential solution to the challenges created by urbanization. The Internet of Things (IoT) offers novel features with minimum human intervention in smart cities. This book describes different components of Internet of Things (IoT) for smart cities including sensor technologies, communication technologies, big data analytics and security….(More)”.

Getting the Work Done: What Government Innovation Really Looks Like


Report by Hana Schank and Sara Hudson: “…In 2017 and 2018, we interviewed problem-solvers working across federal, state, and local government in the United States on improving the state of government services. This movement is small compared to the number of government agencies running business as usual, but it is growing. Innovation teams, digital service teams, technologists, researchers, policymakers, lawyers, funders, and service designers are rethinking how government functions, reshaping how people solve problems, and helping to restore citizens’ faith in governing bodies.

We had both worked on these types of teams at the city and federal level, and wanted a holistic view of the work, its successes, and its challenges. We knew there were efforts across the country focused on making government work, but less work connecting the field. We had a hunch that these teams knew a lot. They had tested out strategies, saw what worked and what didn’t. We wanted to understand what all of that knowledge added up to when taken together.

Our original plan was simple: interview people “in the field” doing the work of making government work. Or work better. (We were flexible.) Ideally, find great success stories. Aggregate and distill them into lessons learned. Maybe make a playbook. Maybe make a report like this. Definitely write some pieces for national publications, because this kind of work inspires and expands through storytelling.

We focused on people improving government services through technology and citizen-centered thinking. We interviewed people from major cities to smaller locales; chief innovation officers and city managers to service designers, product managers, and engineers.

But after we started to do interviews and synthesis, we realized we had been asking the wrong questions. We wanted tactics on how to get the work done from people who had everything figured out. As it turns out, no one has it all figured out. As a community, we are still trying to answer the most basic questions. What do we call ourselves? This work? Is this a field? What do we really mean by innovation? With so much work to be done, where do we start? What’s the best way to hire people? What’s the best way to keep them once they’ve been hired? How do we affect culture change? How do we get the work done? How do we know when we’ve succeeded? How do we know when it’s time to quit?

What we have compiled in this report is neither a playbook nor a document with all the answers. Instead, this report reflects many of the things people often wonder about at work, whisper in corners at conferences, save in browser tabs, or jot in the margins at meetings to think over later: Where are we seeing solutions? Where are we seeing pain points? Who else is doing this? How are they approaching it? How do I find them?…One of the most important themes, which weaves into every piece of this report’s findings, is that people in government care. They want to make a difference, but often aren’t sure how. When given the chance to learn more, and to do better, they jump at it. We’re sharing this to lift up what many such people have learned about how to make change. We hope it inspires more people, cities, and government workers to follow suit….(More)”

Governance and economics of smart cities: opportunities and challenges


P.B.Anand and JulioNavío-Marco in Special Issues of  Telecommunications Policy: “This editorial introduction to this special issue provides an overview and a conceptual framework of governance and economics of smart cities. We begin with a discussion of the background to smart cities and then it focuses on the key challenges for consideration in smart city economics. Here it is argued that there are four dimensions to smart city economics: the first is regarding the scale of global market for smart cities; the second issue concerns data to be used for smart city projects; the third concerns market competition and structure and the fourth concerns the impact on local economy. Likewise, smart city governance framework has to be considered a layered and multi-level concept focusing on issues of transparency and accountability to the citizens….(More)”.

Desire paths: the illicit trails that defy the urban planners


So goes the logic of “desire paths” – described by Robert Macfarlane as “paths & tracks made over time by the wishes & feet of walkers, especially those paths that run contrary to design or planning”; he calls them “free-will ways”. The New Yorker offers other names: “cow paths, pirate paths, social trails, kemonomichi (beast trails), chemins de l’âne (donkey paths), and Olifantenpad (elephant trails)”. JM Barrie described them as “Paths that have Made Themselves”….

Desire paths have been described as illustrating “the tension between the native and the built environment and our relationship to them”. Because they often form in areas where there are no pavements, they can be seen to “indicate [the] yearning” of those wishing to walk, a way for “city dwellers to ‘write back’ to city planners, giving feedback with their feet”.

But as well as revealing the path of least resistance, they can also reveal where people refuse to tread. If you’ve been walking the same route for years, an itchy-footed urge to go off-piste, even just a few metres, is probably something you’ll identify with. It’s this idea that led one academic journal to describe them as a record of “civil disobedience”.

Rather than dismiss or even chastise the naughty pedestrian by placing fences or railings to block off “illicit” wanderings, some planners work to incorporate them into urban environments. This chimes with the thinking of Jane Jacobs, an advocate of configuring cities around desire lines, who said: “There is no logic that can be superimposed on the city; people make it, and it is to them … that we must fit our plans.”…(More)”.

Democracy Disconnected: Participation and Governance in a City of the South


Book by Fiona Anciano and Laurence Piper: “Why is dissatisfaction with local democracy endemic, despite the spread of new participatory institutions? This book argues that a key reason is the limited power of elected local officials, especially to produce the City. City Hall lacks control over key aspects of city decision-making, especially under conditions of economic globalisation and rapid urbanisation in the urban South.

Demonstrated through case studies of daily politics in Hout Bay, Democracy Disconnected shows how Cape Town residents engage local rule. In the absence of democratic control, urban rule in the Global South becomes a complex and contingent framework of multiple and multilevel forms of urban governance (FUG) that involve City Hall, but are not directed by it. Bureaucratic governance coexists alongside market, developmental and informal forms of governance. This disconnect of democracy from urban governance segregates people spatially, socially, but also politically. Thus, while the residents of Hout Bay may live next to each other, they do not live with each other…(More)”.

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


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

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

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

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

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

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

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

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

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

The secret data collected by dockless bikes is helping cities map your movement


Lime is able to collect this information because its bikes, like all those in dockless bike-share programs, are built to operate without fixed stations or corrals. …In the 18 months or so since dockless bike-share arrived in the US, the service has spread to at least 88 American cities. (On the provider side, at least 10 companies have jumped into the business; Lime is one of the largest.) Some of those cities now have more than a year of data related to the programs, and they’ve started gleaning insights and catering to the increased number of cyclists on their streets.

South Bend is one of those leaders. It asked Lime to share data when operations kicked off in June 2017. At first, Lime provided the information in spreadsheets, but in early 2018 the startup launched a browser-based dashboard where cities could see aggregate statistics for their residents, such as how many of them rented bikes, how many trips they took, and how far and long they rode. Lime also added heat maps that reveal where most rides occur within a city and a tool for downloading data that shows individual trips without identifying the riders. Corcoran can glance at his dashboard and see, for example, that people in South Bend have taken 340,000 rides, traveled 158,000 miles, and spent more than 7 million minutes on Lime bikes since the company started service. He can also see there are 700 Lime bikes active in the city, down from an all-time high of 1,200 during the University of Notre Dame’s 2017 football season….(More)”.

The New York City Business Atlas: Leveling the Playing Field for Small Businesses with Open Data


Chapter by Stefaan Verhulst and Andrew Young in Smarter New York City:How City Agencies Innovate. Edited by André Corrêa d’Almeida: “While retail entrepreneurs, particularly those operating in the small-business space, are experts in their respective trades, they often lack access to high-quality information about social, environmental, and economic conditions in the neighborhoods where they operate or are considering operating.

The New York City Business Atlas, conceived by the Mayor’s Office of Data Analytics (MODA) and the Department of Small Business Services, is designed to alleviate that information gap by providing a public web-based tool that gives small businesses access to high-quality data to help them decide where to establish a new business or expand an existing one. e tool brings together a diversity of data, including business-fling data from the Department of Consumer Affairs, sales-tax data from the Department of Finance, demographic data from the census, and traffic data from Placemeter, a New York City startup focusing on real-time traffic information.

The initial iteration of the Business Atlas made useful and previously inaccessible data available to small-business owners and entrepreneurs in an innovative manner. After a few years, however, it became clear that the tool was not experiencing the level of use or creating the level of demonstrable impact anticipated. Rather than continuing down the same path or abandoning the effort entirely, MODA pivoted to a new approach, moving from the Business Atlas as a single information-providing tool to the Business Atlas as a suite of capabilities aimed at bolstering New York’s small-business community.

Through problem- and user-centered efforts, the Business Atlas is now making important insights available to stakeholders who can put it to meaningful use—from how long it takes to open a restaurant in the city to which areas are most in need of education and outreach to improve their code compliance. This chapter considers the open data environment from which the Business Atlas was launched, details the initial version of the Business Atlas and the lessons it generated and describes the pivot to this new approach….(More)”.

Ethics & Algorithms Toolkit


Toolkit: “Government leaders and staff who leverage algorithms are facing increasing pressure from the public, the media, and academic institutions to be more transparent and accountable about their use. Every day, stories come out describing the unintended or undesirable consequences of algorithms. Governments have not had the tools they need to understand and manage this new class of risk.

GovEx, the City and County of San Francisco, Harvard DataSmart, and Data Community DC have collaborated on a practical toolkit for cities to use to help them understand the implications of using an algorithm, clearly articulate the potential risks, and identify ways to mitigate them….We developed this because:

  • We saw a gap. There are many calls to arms and lots of policy papers, one of which was a DataSF research paper, but nothing practitioner-facing with a repeatable, manageable process.
  • We wanted an approach which governments are already familiar with: risk management. By identifing and quantifying levels of risk, we can recommend specific mitigations.. …(More)”.