The Website That Visualizes Human Activity in Cities Across the World


Emerging Technology From the arXiv: “The data from mobile phones is revolutionizing our understanding of human activity. In recent years, it has revealed commuting patterns in major cities, wealth distribution in African countries, and even reproductive strategies in western societies. That has provided unprecedented insight for economists, sociologists, and city planners among others.

But this kind of advanced research is just a first step in a much broader trend. Phone data is set to become a standard resource that almost anyone can use to study and watch humanity continuously, much as they can now watch the weather unfold anywhere on the planet almost in real time.

But one thing is holding them back—the lack of powerful computational tools that can gather, crunch, and present the data in meaningful ways.

Today, that looks set to change to the work of Dániel Kondor and a few pals at the SENSEable City Laboratory, part of MIT, and at Ericsson, a company that produces network infrastructure technologies. These guys have unveiled a powerful online tool that uses mobile phone data to visualize human activity in cities all over the world.

This new tool, called ManyCities, allows anybody to study human activity in various cities with unprecedented detail.  But the key is that it organizes and presents the data in intuitive ways that quickly reveals trends and special events….

ManyCities then presents the data in three simple ways. The first shows how phone usage varies over time, revealing clear daily and weekly patterns as well as longer term trends. For example, ManyCities clearly shows a steady, long-term increase in data traffic, the effect of holidays, and how usage patterns change dramatically during important events like the Wimbledon tennis championship in London.

ManyCities also allows user to drill down into the data to compare patterns in different neighborhoods or in different cities. It shows, for example, that text message activity peaks in the morning in Hong Kong, in the evening in New York and at midday in London….Kondor and co have made it available at www.ManyCities.org for anybody to try.

This kind of tool is clearly evolving into a real time analytics tool. It’s not hard to imagine how people could use it to plan events such as conferences, sporting contests, or concerts or to plan emergency city infrastructure. One day people may even tune in to a “smartphone forecast” to find out if their phone will work when the big game kicks off that evening.

Ref: arxiv.org/abs/1509.00459 : Visualizing Signatures Of Human Activity In Cities Across The Globe”

Open Data Intermediaries: Their Crucial Role


Web Foundation: “….data intermediaries are undertaking a wide range of functions.  As well as connecting data providers (for example, governments) with those who can benefit by using data or data-driven products, intermediaries are helping to articulate demand for data, creating and repackaging data, and creating novel applications. In Nepal for instance, intermediaries play a range of roles, from running the government open data portal, to translating complex data sets into formats that are easily understood by a population that is largely offline and suffers from low literacy levels.

How are intermediaries connecting data providers to end-users?

To answer this question, French sociologist Pierre Bourdieu’s social model, in particular his concept of species of capital, was used as a lens. According to Bourdieu, capital is not only economic or material. We use other symbolic forms of capital like social capital (e.g. friends and memberships) or cultural capital (e.g. competencies and qualifications) in our social interactions.

Unsurprisingly, the study found that most open data intermediaries use their technical capital to connect to data providers (97%). However, to fulfil their role of not only connecting to data providers but of facilitating the use of open data, open data intermediaries require multiple forms of capital. And because no single intermediary necessarily has all the types of capital to link effectively to users, multiple intermediaries with complementary configurations of capital are more likely to connect data providers and users.

Intermediaries ModelA model of layers of intermediaries connecting a data source with users  

 

….Of the 32 intermediaries studied, 72% can be described as not-for profit and, as a consequence, rely on donor funding to sustain their operations. This has significant implications for future sustainability.

What are some of the key conclusions and implications of the study?

  • Intermediaries are playing a critical role in making data truly useful.
  • The presence of multiple intermediaries in an ecosystem may increase the probability of use (and impact) because no single intermediary is likely to possess all the types of capital required to unlock the full value of the transaction between the provider and the end user.
  • Working either alone or in collaboration with others, intermediaries must go beyond technical capital to unlock the benefits of open data – using social, political or economic capital too.
  • Governments would do well to engage with a broad spectrum of intermediaries, and not simply focus on intermediaries who possess only the technical capital required to interpret and repackage open government data.
  • Given that intermediaries are presently largely donor funded, in the short term, funders should ask whether possible grantees possess all the types of capital required not only to re-use open data but to connect open data to specific user groups in order to ensure the use and impact of open data.
  • In the medium term, different funding models for intermediaries may need to be explored, or the sustainability of civically-minded open data initiatives could be at risk….

ACCESS THE FULL REPORT:

ODintermediariesOpen Data Intermediaries in Developing Countries

By François van Schalkwyk, Michael Caňares, Sumandro Chattapadhyay & Alexander Andrason

Give me location data, and I shall move the world


Marta Poblet at the Conversation: “Behind the success of the new wave of location based mobile apps taking hold around the world is digital mapping. Location data is core to popular ride-sharing services such as Uber and Lyft, but also to companies such as Amazon or Domino’s Pizza, which are testing drones for faster deliveries.

Last year, German delivery firm DHL launched its first “parcelcopter” to send medication to the island of Juist in the Northern Sea. In the humanitarian domain, drones are also being tested for disaster relief operations.

Better maps can help app-led companies gain a competitive edge, but it’s hard to produce them at a global scale. …

A flagship base map for the past ten years has been OpenStreetMap (OSM), also known as the “Wikipedia of mapping”. With more than two million registered users, OpenStreetMap aims to create a free map of the world. OSM volunteers have been particularly active in mapping disaster-affected areas such as Haiti, the Philippines or Nepal. A recent study reports how humanitarian response has been a driver of OSM’s evolution, “in part because open data and participatory ideals align with humanitarian work, but also because disasters are catalysts for organizational innovation”….

Intense competition for digital maps also flags the start of the self-driving car race. Google is already testing its prototypes outside Silicon Valley and Apple has been rumoured to work on a secret car project code named Titan.

Uber has partnered with Carnegie Mellon and Arizona Universities to work on vehicle safety and cheaper laser mapping systems. Tesla is also planning to make its electric cars self-driving.

Legal and ethical challenges are not to be underestimated either. Most countries impose strict limits on testing self-driving cars on public roads. Similar limitations apply to the use of civilian drones. And the ethics of fully autonomous cars is still in its infancy. Autonomous cars probably won’t be caught texting, but they will still be confronted with tough decisions when trying to avoid potential accidents. Current research engages engineers and philosophers to work on how to assist cars when making split-second decisions that can raise ethical dilemmas….(More)”

‘Airbnb for refugees’ group overwhelmed by offers of help


 at The Guardian: “A German group which matchmakes citizens willing to share their homes with refugees said it had been overwhelmed by offers of support, with plans in the works for similar schemes in other European countries.

The Berlin-based Refugees Welcome, which has been described as an “Airbnb for refugees”, has helped people fleeing from Afghanistan, Burkina Faso, Mali, Nigeria, Pakistan, Somalia and Syria.

More than 780 Germans have signed up to the Refugees Welcome website and 26 people have been placed in private homes so far. Two of the site’s founders, Jonas Kakoschke, 31, and Mareike Geiling, 28, live with 39-year-old Bakari, a refugee from Mali, whom they are helping with German classes while he waits for a work permit.

A spokesman said the project’s growing success has now led to offers of help to set up similar schemes in other EU countries, including Greece, Portugal and the UK, with a comparable project in Austria already up and running since January.

Over the weekend, thousands of Icelanders offered to accommodate Syrian refugees in their own homes in an open letter to the government about the migration crisis….(More)”

Ethics in Public Policy and Management: A global research companion


New book edited by Alan Lawton, Zeger van der Wal, and Leo Huberts: “Ethics in Public Policy and Management: A global research companion showcases the latest research from established and newly emerging scholars in the fields of public management and ethics. This collection examines the profound changes of the last 25 years, including the rise of New Public Management, New Public Governance and Public Value; how these have altered practitioners’ delivery of public services; and how academics think about those services.

Drawing on research from a broad range of disciplines, Ethics in Public Policy and Management looks to reflect on this changing landscape. With contributions from Asia, Australasia, Europe and the USA, the collection is grouped into five main themes:

  • theorising the practice of ethics;
  • understanding and combating corruption;
  • managing integrity;
  • ethics across boundaries;
  • expanding ethical policy domains.

This volume will prove thought-provoking for educators, administrators, policy makers and researchers across the fields of public management, public administration and ethics….(More)”

Open data can unravel the complex dealings of multinationals


 in The Guardian: “…Just like we have complementary currencies to address shortcomings in national monetary systems, we now need to encourage an alternative accounting sector to address shortcomings in global accounting systems.

So what might this look like? We already are seeing the genesis of this in the corporate open data sector. OpenCorporates in London has been a pioneer in this field, creating a global unique identifier system to make it easier to map corporations. Groups like OpenOil in Berlin are now using the OpenCorporates classification system to map companies like BP. Under the tagline “Imagine an open oil industry”, they have also begun mapping ground-level contract and concession data, and are currently building tools to allow the public to model the economics of particular mines and oil fields. This could prove useful in situations where doubt is cast on the value of particular assets controlled by public companies in politically fragile states.

 OpenOil’s objective is not just corporate transparency. Merely disclosing information does not advance understanding. OpenOil’s real objective is to make reputable sources of information on oil companies usable to the general public. In the case of BP, company data is already deposited in repositories like Companies House, but in unusable, jumbled and jargon-filled pdf formats. OpenOil seeks to take such transparency, and turn it into meaningful transparency.

According to OpenOil’s Anton Rühling, a variety of parties have started to use their information. “During the recent conflicts in Yemen we had a sudden spike in downloads of our Yemeni oil contract information. We traced this to UAE, where a lot of financial lawyers and investors are based. They were clearly wanting to see how the contracts could be affected.” Their BP map even raised interest from senior BP officials. “We were contacted by finance executives who were eager to discuss the results.”

Open mapping

Another pillar of the alternative accounting sector that is emerging are supply chain mapping systems. The supply chain largely remains a mystery. In standard corporate accounts suppliers appear as mere expenses. No information is given about where the suppliers are based and what their standards are. In the absence of corporate management volunteering that information, Sourcemap has created an open platform for people to create supply chain maps themselves. Progressively-minded companies – such as Fairphone – have now begun to volunteer supply chain information on the platform.

One industry forum that is actively pondering alternative accounting is ICAEW’s AuditFutures programme. They recently teamed up with the Royal College of Art’s service design programme to build design thinking into accounting practice. AuditFuture’s Martin Martinoff wants accountants’ to perceive themselves as being creative innovators for the public interest. “Imagine getting 10,000 auditors online together to develop an open crowdsourced audit platform.”…(More)

Citizen Science used in studying Seasonal Variation in India


Rohin Daswani at the Commons Lab, Woodrow Wilson International Center for Scholars: “Climate change has started affecting many countries around the world. While every country is susceptible to the risks of global warming some countries, such as India, are especially vulnerable.

India’s sheer dependence on rainfall to irrigate its vast agricultural lands and to feed its economy makes it highly vulnerable to climate change. A report from the UN Intergovernmental Panel on Climate Change (IPCC) predicts global temperature will increase between 0.3 and 4.8 degrees Celsius and sea levels will rise 82cm (32 in) by the late 21st century. But what effect will the changing rainfall pattern have on the seasonal variation?

One way to study seasonal variation in India is to analyze the changing patterns of flowering and fruiting of common trees like the Mango and Amaltas trees. SeasonWatch , a program part of the National Center for Biological Sciences (NCBS), the biological wing of the Tata Institute for Fundamental Research, does exactly that. It is an India-wide program that studies the changing seasons by monitoring the seasonal cycles of flowering, fruiting and leaf flush of common trees. And how does it do that? It does it by utilizing the idea of Citizen Science. Anybody, be it children or adults, interested in trees and the effects of climate change can participate. All they have to do is register, select a tree near them and monitor it every week. The data is uploaded to a central website and is analyzed for changing patterns of plant life, and the effects of climate change on plant life cycle. The data is also open source so anyone can get access to it if they wish to. With all this information one could answer questions which were previously impossible to answer such as:

  • How does the flowering of Neem change across India?
  • Is fruiting of Tamarind different in different parts of the country depending on rainfall in the previous year?
  • Is year to year variation in flowering and fruiting time of Mango related to Winter temperatures?

Using Citizen Science and crowdsourcing, programs such as SeasonWatch have expanded the scope and work of conservation biology in various ecosystems across India….(More)”

Weathernews thinks crowdsourcing is the future of weather


Andrew Freedman at Mashable: “The weather forecast of the future will be crowdsourced, if one Japanese weather firm sees its vision fulfilled.

On Monday, Weathernews Inc. of Japan announced a partnership with the Chinese firm Moji to bring Weathernews’ technology to the latter company’s popular MoWeather app.

The benefit for Weathernews, in addition to more users and entry into the Chinese market, is access to more data that can then be turned into weather forecasts.

The company says that this additional user base, when added to its existing users, will make Weathernews “the largest crowdsourced weather service in the world,” with 420 million users across 175 countries.

 

…So far, though, mobile phones have not proven to be more reliable weather sensors than the network of thousands of far more expensive and specialized surface weather observation sites throughout the world, but crowdsourcing’s day in the sun may be close at hand. As Weathernews leaders were quick to point out to Mashable in an interview, the existing weather observing network on which most forecasts rely has significant drawbacks that makes crowdsourcing especially appealing outside the U.S.

For example, most surface weather stations are in wealthy nations, primarily in North America and Europe. There’s a giant forecasting blind spot over much of Africa, where many countries lack a national weather agency. However, these countries do have rapidly growing mobile phone networks that, if utilized in certain ways, could provide a way to fill in data gaps and make weather forecasts more accurate, too.

“At Weathernews, we have a core belief that more weather data is better,” said Weathernews managing director Tomohiro Ishibashi.

“So having access to the additional datasets from MoWeather’s vast user community allows us to provide more accurate and safer weather forecasting for all,” he said. “Our advanced algorithms analyze these new datasets and put them in our existing computer forecasting models.”

Weathernews is trying to use observations that most weather companies might regard as interesting but not worth the effort to tailor for computer modeling. For example, photos of clouds are a potential way to ground truth weather satellite imagery, Ishibashi told Mashable.

“For us the picture of the sky… has a lot of information,” he said. (The company’s website refers to such observations as “eye-servation.”)…

Compared to Weathernews’ ambitions, AccuWeather’s recent decision to incorporate crowdsourced data into its iOS app seems more traditional, like a TV weather forecaster adding a few new “weather watchers” to their station’s network during local television’s heyday in the 1980s and 90s.

Now, we’re all weather watchers….(More)”

We are data: the future of machine intelligence


Douglas Coupland in the Financial Times: “…But what if the rise of Artificial Intuition instead blossoms under the aegis of theology or political ideology? With politics we can see an interesting scenario developing in Europe, where Google is by far the dominant search engine. What is interesting there is that people are perfectly free to use Yahoo or Bing yet they choose to stick with Google and then they get worried about Google having too much power — which is an unusual relationship dynamic, like an old married couple. Maybe Google could be carved up into baby Googles? But no. How do you break apart a search engine? AT&T was broken into seven more or less regional entities in 1982 but you can’t really do that with a search engine. Germany gets gaming? France gets porn? Holland gets commerce? It’s not a pie that can be sliced.

The time to fix this data search inequity isn’t right now, either. The time to fix this problem was 20 years ago, and the only country that got it right was China, which now has its own search engine and social networking systems. But were the British or Spanish governments — or any other government — to say, “OK, we’re making our own proprietary national search engine”, that would somehow be far scarier than having a private company running things. (If you want paranoia, let your government control what you can and can’t access — which is what you basically have in China. Irony!)

The tendency in theocracies would almost invariably be one of intense censorship, extreme limitations of access, as well as machine intelligence endlessly scouring its system in search of apostasy and dissent. The Americans, on the other hand, are desperately trying to implement a two-tiered system to monetise information in the same way they’ve monetised medicine, agriculture, food and criminality. One almost gets misty-eyed looking at North Koreans who, if nothing else, have yet to have their neurons reconfigured, thus turning them into a nation of click junkies. But even if they did have an internet, it would have only one site to visit, and its name would be gloriousleader.nk.

. . .

To summarise. Everyone, basically, wants access to and control over what you will become, both as a physical and metadata entity. We are also on our way to a world of concrete walls surrounding any number of niche beliefs. On our journey, we get to watch machine intelligence become profoundly more intelligent while, as a society, we get to watch one labour category after another be systematically burped out of the labour pool. (Doug’s Law: An app is only successful if it puts a lot of people out of work.)…(More)”

From Governmental Open Data Toward Governmental Open Innovation (GOI)


Chapter by Daniele Archibugi et al in The Handbook of Global Science, Technology, and Innovation: “Today, governments release governmental data that were previously hidden to the public. This democratization of governmental open data (OD) aims to increase transparency but also fuels innovation. Indeed, the release of governmental OD is a global trend, which has evolved into governmental open innovation (GOI). In GOI, governmental actors purposively manage the knowledge flows that span organizational boundaries and reveal innovation-related knowledge to the public with the aim to spur innovation for a higher economic and social welfare at regional, national, or global scale. GOI subsumes different revealing strategies, namely governmental OD, problem, and solution revealing. This chapter introduces the concept of GOI that has evolved from global OD efforts. It present a historical analysis of the emergence of GOI in four different continents, namely, Europe (UK and Denmark), North America (United States and Mexico), Australia, and China to highlight the emergence of GOI at a global scale….(More)”