Open Space: The Global Effort for Open Access to Environmental Satellite Data


Book by Mariel Borowitz: “Key to understanding and addressing climate change is continuous and precise monitoring of environmental conditions. Satellites play an important role in collecting climate data, offering comprehensive global coverage that can’t be matched by in situ observation. And yet, as Mariel Borowitz shows in this book, much satellite data is not freely available but restricted; this remains true despite the data-sharing advocacy of international organizations and a global open data movement. Borowitz examines policies governing the sharing of environmental satellite data, offering a model of data-sharing policy development and applying it in case studies from the United States, Europe, and Japan—countries responsible for nearly half of the unclassified government Earth observation satellites.

Borowitz develops a model that centers on the government agency as the primary actor while taking into account the roles of such outside actors as other government officials and non-governmental actors, as well as the economic, security, and normative attributes of the data itself. The case studies include the U.S. National Aeronautics and Space Administration (NASA) and the U.S. National Oceanographic and Atmospheric Association (NOAA), and the United States Geological Survey (USGS); the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT); and the Japanese Aerospace Exploration Agency (JAXA) and the Japanese Meteorological Agency (JMA). Finally, she considers the policy implications of her findings for the future and provides recommendations on how to increase global sharing of satellite data….(More)”.

Using Facebook data as a real-time census


Phys.org: “Determining how many people live in Seattle, perhaps of a certain age, perhaps from a specific country, is the sort of question that finds its answer in the census, a massive data dump for places across the country.

But just how fresh is that data? After all, the census is updated once a decade, and the U.S. Census Bureau’s smaller but more detailed American Community Survey, annually. There’s also a delay between when data are collected and when they are published. (The release of data for 2016 started gradually in September 2017.)

Enter Facebook, which, with some caveats, can serve as an even more current source of , especially about migrants. That’s the conclusion of a study led by Emilio Zagheni, associate professor of sociology at the University of Washington, published Oct. 11 in Population and Development Review. The study is believed to be the first to demonstrate how present-day migration statistics can be obtained by compiling the same data that advertisers use to target their audience on Facebook, and by combining that source with information from the Census Bureau.

Migration indicates a variety of political and economic trends and is a major driver of population change, Zagheni said. As researchers further explore the increasing number of databases produced for advertisers, Zagheni argues, social scientists could leverage Facebook, LinkedIn and Twitter more often to glean information on geography, mobility, behavior and employment. And while there are some limits to the data – each platform is a self-selected, self-reporting segment of the population – the number of migrants according to Facebook could supplement the official numbers logged by the U.S. Census Bureau, Zagheni said….(Full Paper).

When Cartography Meets Disaster Relief


Mimi Kirk at CityLab: “Almost three weeks after Hurricane Maria hit Puerto Rico, the island is in a grim state. Fewer than 15 percent of residents have power, and much of the island has no clean drinking water. Delivery of food and other necessities, especially to remote areas, has been hampered by a variety of ills, including a lack of cellular service, washed-out roads, additional rainfall, and what analysts and Puerto Ricans say is a slow and insufficient response from the U.S. government.

Another issue slowing recovery? Maps—or lack of them. While pre-Maria maps of Puerto Rico were fairly complete, their level of detail was nowhere near that of other parts of the United States. Platforms such as Google Maps are more comprehensive on the mainland than on the island, explains Juan Saldarriaga, a research scholar at the Center for Spatial Research at Columbia University. This is because companies like Google often create maps for financial reasons, selling them to advertisers or as navigation devices, so areas that have less economic activity are given less attention.

This lack of detail impedes recovery efforts: Without basic information on the location of buildings, for instance, rescue workers don’t know how many people were living in an area before the hurricane struck—and thus how much aid is needed.

Crowdsourced mapping can help. Saldarriaga recently organized a “mapathon” at Columbia, in which volunteers examined satellite imagery of Puerto Rico and added missing buildings, roads, bridges, and other landmarks in the open-source platform OpenStreetMap. While some universities and other groups are hosting similar events, anyone with an internet connection and computer can participate.

Saldarriaga and his co-organizers collaborated with Humanitarian OpenStreetMap Team (HOT), a nonprofit that works to create crowdsourced maps for aid and development work. Volunteers like Saldarriaga largely drive HOT’s “crisis mapping” projects, the first of which occurred in 2010 after Haiti’s earthquake…(More)”.

Tech’s fight for the upper hand on open data


Rana Foroohar at the Financial Times: “One thing that’s becoming very clear to me as I report on the digital economy is that a rethink of the legal framework in which business has been conducted for many decades is going to be required. Many of the key laws that govern digital commerce (which, increasingly, is most commerce) were crafted in the 1980s or 1990s, when the internet was an entirely different place. Consider, for example, the US Computer Fraud and Abuse Act.

This 1986 law made it a federal crime to engage in “unauthorised access” to a computer connected to the internet. It was designed to prevent hackers from breaking into government or corporate systems. …While few hackers seem to have been deterred by it, the law is being used in turf battles between companies looking to monetise the most valuable commodity on the planet — your personal data. Case in point: LinkedIn vs HiQ, which may well become a groundbreaker in Silicon Valley.

LinkedIn is the dominant professional networking platform, a Facebook for corporate types. HiQ is a “data-scraping” company, one that accesses publicly available data from LinkedIn profiles and then mixes it up in its own quantitative black box to create two products — Keeper, which tells employers which of their employees are at greatest risk of being recruited away, and Skill Mapper, which provides a summary of the skills possessed by individual workers. LinkedIn allowed HiQ to do this for five years, before developing a very similar product to Skill Mapper, at which point LinkedIn sent the company a “cease and desist” letter, and threatened to invoke the CFAA if HiQ did not stop tapping its user data.

..Meanwhile, a case that might have been significant mainly to digital insiders is being given a huge publicity boost by Harvard professor Laurence Tribe, the country’s pre-eminent constitutional law scholar. He has joined the HiQ defence team because, as he told me, he believes the case is “tremendously important”, not only in terms of setting competitive rules for the digital economy, but in the realm of free speech. According to Prof Tribe, if you accept that the internet is the new town square, and “data is a central type of capital”, then it must be freely available to everyone — and LinkedIn, as a private company, cannot suddenly decide that publicly accessible, Google-searchable data is their private property….(More)”.

Building Civic Capacity in an Era of Democratic Crisis


Hollie Russon-Gilman and K. Sabeel Rahman at New America Foundation: “For several years now, the institutions of American democracy have been under increasing strain. Widening economic inequality, the persistence and increased virulence of racial and ethnic tensions, and the inability of existing political institutions to manage disputes and solve problems have all contributed to a growing sense of crisis in American democracy. This crisis of democracy extends well beyond immediate questions about elections, voting, and the exercise of political power in Washington. Our democratic challenges are deeper. How do we develop institutions and organizations to enable civic engagement beyond voting every few years? What kinds of institutions, organizations, and practices are needed to make public policies inclusive, equitable, and responsive to the communities they are supposed to serve? How do we create a greater capacity for and commitment to investing in grassroots democracy? How can we do all this while building a multiracial and multiethnic society inclusive of all?

The current political moment creates an opportunity to think more deeply about both the crisis of American democracy today and about the democracy that we want—and how we might get there. Few scholars or practitioners would content themselves with our current democratic institutions. At the same time, generating a more durable, inclusive, and responsive democracy requires being realistic about constraints, limitations, and tensions that will necessarily arise.

In this report we sketch out some of the central challenges and tensions we see, as well as some potential avenues for renewal and transformation. Based on a convening at New America in Washington, D.C. and a series of ongoing conversations with organizers, policymakers, and scholars from around the country, we propose a framework in this report to serve as a resource for continuing these important efforts in pioneering new forms of democratic governance….(More)”.

Civic Creativity: Role-Playing Games in Deliberative Process


Eric Gordon, Jason Haas, and Becky Michelson at the International Journal of Communication: “This article analyzes the use of a role-playing game in a civic planning process. We focus on the qualities of interactions generated through gameplay, specifically the affordances of voluntary play within a “magic circle” of the game, that directly impact participants’ ability to generate new ideas about the community. We present the results of a quasi-experimental study where a role-playing game (RPG) called @Stake is incorporated into participatory budgeting meetings in New York City and compared with meetings that incorporated a trivia game. We provide evidence that the role-playing game, which encourages empathy, is more effective than a game that tests knowledge for generating what we call civic creativity, or an individual’s ability to come up with new ideas. Rapid ideation and social learning nurtured by the game point to a kind of group creativity that fosters social connection and understanding of consequence outside of the game. We conclude with thoughts on future research….(More)”.

Let’s create a nation of social scientists


Geoff Mulgan in Times Higher Education: “How might social science become more influential, more relevant and more useful in the years to come?

Recent debates about impact have largely assumed a model of social science in which a cadre of specialists, based in universities, analyse and interpret the world and then feed conclusions into an essentially passive society. But a very different view sees specialists in the academy working much more in partnership with a society that is itself skilled in social science, able to generate hypotheses, gather data, experiment and draw conclusions that might help to answer the big questions of our time, from the sources of inequality to social trust, identity to violence.

There are some powerful trends to suggest that this second view is gaining traction. The first of these is the extraordinary explosion of new ways to observe social phenomena. Every day each of us leaves behind a data trail of who we talk to, what we eat and where we go. It’s easier than ever to survey people, to spot patterns, to scrape the web or to pick up data from sensors. It’s easier than ever to gather perceptions and emotions as well as material facts and easier than ever for organisations to practice social science – whether investment organisations analysing market patterns, human resources departments using behavioural science, or local authorities using ethnography.

That deluge of data is a big enough shift on its own. However, it is also now being used to feed interpretive and predictive tools using artificial intelligence to predict who is most likely to go to hospital, to end up in prison, which relationships are most likely to end in divorce.

Governments are developing their own predictive tools, and have also become much more interested in systematic experimentation, with Finland and Canada in the lead,  moving us closer to Karl Popper’s vision of “methods of trial and error, of inventing hypotheses which can be practically tested…”…

The second revolution is less visible but could be no less profound. This is the hunger of many people to be creators of knowledge, not just users; to be part of a truly collective intelligence. At the moment this shift towards mass engagement in knowledge is most visible in neighbouring fields.  Digital humanities mobilise many volunteers to input data and interpret texts – for example making ancient Arabic texts machine-readable. Even more striking is the growth of citizen science – eBird had 1.5 million reports last January; some 1.5 million people in the US monitor river streams and lakes, and SETI@home has 5 million volunteers. Thousands of patients also take part in funding and shaping research on their own conditions….

We’re all familiar with the old idea that it’s better to teach a man to fish than just to give him fish. In essence these trends ask us a simple question: why not apply the same logic to social science, and why not reorient social sciences to enhance the capacity of society itself to observe, analyse and interpret?…(More)”.

Mobility Score


MobilityScore® helps you understand how easy it is to get around. It works at any location or address within the US and Canada and gives you a score ranging from 0 (no mobility choices) to 100 (excellent mobility choices).

What do we mean by mobility? Any transportation option that can help you move around your city. Transportation is changing massively as new choices emerge: ridesharing, bikesharing, carsharing. Private and on-demand mobility services have sprung up. However, tools for measuring transportation access have not kept up. That’s why we created MobilityScore as an easy-to-understand measure of transportation access.

Technical Details

MobilityScore includes all the transportation choices that can be found on TransitScreen displays, including the following services:

  • Public transit (subways, trains, buses, ferries, cable cars…)
  • Car sharing services (Zipcar, Enterprise, and one-way services like car2go)
  • Bike sharing services
  • Hailed ride sharing services (e.g. taxis, Uber, Lyft)

We have developed a common way of comparing how choices that might seem very different contribute to your mobility. For each mobility choice, we measure how long it will take you until you can start moving on it – for example, the time it takes you to leave your building, walk to a subway station, and wait for a train.

Because we’re measuring how easy it is for you to move around the city, we also consider what mobility choices look like at different times of the day and different days of the week. Mobility data is regularly collected for most services, while ridehailing (Uber/Lyft) data is based on a geographic model of arrival times.

MobilityScore’s framework is future-proof. Just like we do with TransitScreen, we will integrate future services into the calculation as they emerge (e.g. microtransit, autonomous vehicles, mobility-as-a-service)….(More)”

Smart cities are great. Human-centric cities are (again) the future


Naveen Rajdev at Quartz:” …You don’t want your smart city’s proverbial slip to show, and you don’t want to overwhelm your citizens with too much tech. So what’s the plan?

1. Start making technology invisible

Being able to “see” technology creates interaction, and interaction creates distraction.

To illustrate: Assuming your car and smartphone are connected, your phone should be able to notify someone—someone texting you, for example—that you’re driving and can’t respond. You don’t want to take your hands off the wheel, so your phone should instead be able to send an automatic response to the text sender: “I’m driving right now, but I’ll get back to you later.” It keeps you and others safe on the road, and it doesn’t force you to respond….

Detroit, for instance, is already investigating the idea of “invisible” technology, particularly when it comes to residents’ safety. Last fall, Detroit’s city officials partnered with Comcast to expand the area’s Project Green Light program, which allows businesses to install cameras police can use to monitor crimes (and solve them) in real time.

The program’s expansion led to a 50% drop in violent crime at convenience stores and gas stations. Thanks to the technology—which was by no means a distraction to Detroit’s residents—the city is safer, and business is better.

While Detroit excels at making tech inconspicuous, most of the country is doing what it can to be more on-the-grid than ever before, completely ignoring (or altogether missing) the subtleties “invisible” tech offers. Last fall, New York City officials introduced LinkNYC, a free Wi-Fi service throughout Manhattan in the form of 500 touch-screen kiosks available for public use.

As the adage suggests, sometimes there can be too much of a good thing. With the kiosks being essentially too visible in Manhattan’s streets, problems arose: The city’s homeless population began misusing them, and certain groups started insisting the kiosks help officials “spy” on its residents….

2. Your city must be conscious of digital overload

In a world where technology rules, it’s imperative we find time to think, breathe, and unplug, so city leaders must carefully marry tech and mindfulness. Otherwise, they face the consequences of information overload: weakened decision-making and the feeling of being overwhelmed, among others. A city’s occasional digital detox is crucial.

Why? Studies have shown that smartphones could be causing insomnia, social media may be spawning narcissism, and computer screens might be making our kids less empathetic. At some point, a line must be drawn.

Luckily, certain cities are starting to draw it. Late last year, Miami’s development authority department proposed turning lanes clogged with traffic on Biscayne Boulevard into a spacious greenway that welcomed both pedestrians and bicyclists. Beyond that, walking trails are growing along the river and bay, and another trail is in the works. City developers have also approved smaller residential projects in areas that public transit serves….

Even a simple art exhibit can be marred by too much tech. …Other gallery curators aren’t loving the marriage of art and tech. Connie Wolf, Stanford University’s director of the Cantor Arts Center, is particularly cautious. “In our busy lives, in our crazy lives, we’re always connected to technology,” she said. “People want to come into museums and put that technology aside for a moment.”

Bottom line: Being connected is great, but being conscious is better. City leaders would do well to remember this….(More)”.

Using Public Data From Different Sources


Chapter byYair Cohen in Maximizing Social Science Research Through Publicly Accessible Data Sets, book edited by S. Marshall Perry: “The United States federal government agencies as well as states agencies are liberating their data through web portals. Web portals like data.gov, census.gov, healthdata.gov, ed.gov and many others on the state level provide great opportunity for researchers of all fields. This chapter shows the challenges and the opportunities that lie by merging data from different pubic sources. The researcher collected and merged data from the following datasets: NYSED school report card, NYSED Fiscal Profile Reporting System, Civil Rights Data Collection, and Census 2010 School District Demographics System. The challenges include data validation, data cleaning, flatting data for easy reporting, and merging datasets based on text fields….(More)”.