The View From Your Window Is Worth Cash to This Company

Curated on Posted on by Stefaan Verhulst

Eric Jaffe in Atlantic CityLab: “A city window overlooking the street has always been a score in its own right, what with so many apartments stuck opening onto back alleys and dumpsters and fire escapes. And now, a company wants to straight up monetize the view. New York startup Placemeter is paying city residents up to $50 a month for street views captured via old smartphones. The idea is to quantify sidewalk life in the service of making the city a more efficient place.

“Measuring data about how the city moves in real time, being able to make predictions on that, is definitely a good way to help cities work better,” says founder Alex Winter. “That’s the vision of Placemeter—to build a data platform where anyone at any time can know how busy the city is, and use that.”
Here’s how it works: City residents send Placemeter a little information about where they live and what they see from their window. In turn, Placemeter sends participants a kit (complete with window suction cup) to convert their unused smartphone into a street sensor, and agrees to pay cash so long as the device stays on and collects data. The more action outside—the more shops, pedestrians, traffic, and public space—the more the view is worth.
On the back end, Placemeter converts the smartphone images into statistical data using proprietary computer vision. The company first detects moving objects (the green splotches in the video below) and classifies them either as people or as 11 types of vehicles or other common urban elements, such as food carts. A second layer of analysis connects this movement with behavioral patterns based on the location—how many cars are speeding down a street, for instance, or how many people are going into a store….
Efforts to quantify city life with big data aren’t new, but where Placemeter’s clear advance is its ability to count pedestrians. Cities often track sidewalk traffic with little more than a hired hand and a manual clicker and spot locations. With its army of smartphone eyes, Placemeter promises a much wider net of real-time data dynamic enough to recognize not only that a person exists but also that person’s behavior, from walking speed to retail interest to general interaction with streets or public spaces…”

Things Fall Apart: How Social Media Leads to a Less Stable World

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Commentary by Curtis Hougland at Knowledge@Wharton: “James Foley. David Haines. Steven Sotloff. The list of people beheaded by followers of the Islamic State of Iraq and Syria (ISIS) keeps growing. The filming of these acts on video and distribution via social media platforms such as Twitter represent a geopolitical trend in which social media has become the new frontline for proxy wars across the globe. While social media does indeed advance connectivity and wealth among people, its proliferation at the same time results in a markedly less stable world.
That social media benefits mankind is irrefutable. I have been an evangelist for the power of new media for 20 years. However, technology in the form of globalized communication, transportation and supply chains conspires to make today’s world more complex. Events in any corner of the world now impact the rest of the globe quickly and sharply. Nations are being pulled apart along sectarian seams in Iraq, tribal divisions in Afghanistan, national interests in Ukraine and territorial fences in Gaza. These conflicts portend a quickening of global unrest, confirmed by Foreign Policy magazine’s map of civil protest. The ISIS videos are simply the exposed wire. I believe that over the next century, even great nations will Balkanize — break into smaller nations. One of the principal drivers of this Balkanization is social media Twitter .
Social media is a behavior, an expression of the innate human need to socialize and share experiences. Social media is not simply a set of technology channels and networks. Both the public and private sectors have underestimated the human imperative to behave socially. The evidence is now clear with more than 52% of the population living in cities and approximately 2 billion people active in social media globally. Some 96% of content emanates from individuals, not brands, media or governments — a volume that far exceeds participation in democratic elections.
Social media is not egalitarian, though. Despite the exponential growth of user-generated content, people prefer to congregate online around like-minded individuals. Rather than seek out new beliefs, people choose to reinforce their existing political opinions through their actions online. This is illustrated in Pew Internet’s 2014 study, “Mapping Twitter Topic Networks from Polarized Crowds to Community Clusters.” Individuals self-organize by affinity, and within affinity, by sensibility and personality. The ecosystem of social media is predicated on delivering more of what the user already likes. This, precisely, is the function of a Follow or Like. In this way, media coagulates rather than fragments online….”

New Data for a New Energy Future

Curated on Posted on by Stefaan Verhulst

(This post originally appeared on the blog of the U.S. Chamber of Commerce Foundation.)

Two growing concerns—climate change and U.S. energy self-sufficiency—have accelerated the search for affordable, sustainable approaches to energy production and use. In this area, as in many others, data-driven innovation is a key to progress. Data scientists are working to help improve energy efficiency and make new forms of energy more economically viable, and are building new, profitable businesses in the process.
In the same way that government data has been used by other kinds of new businesses, the Department of Energy is releasing data that can help energy innovators. At a recent “Energy Datapalooza” held by the department, John Podesta, counselor to the President, summed up the rationale: “Just as climate data will be central to helping communities prepare for climate change, energy data can help us reduce the harmful emissions that are driving climate change.” With electric power accounting for one-third of greenhouse gas emissions in the United States, the opportunities for improvement are great.
The GovLab has been studying the business applications of public government data, or “open data,” for the past year. The resulting study, the Open Data 500, now provides structured, searchable information on more than 500 companies that use open government data as a key business driver. A review of those results shows four major areas where open data is creating new business opportunities in energy and is likely to build many more in the near future.

Commercial building efficiency
Commercial buildings are major energy consumers, and energy costs are a significant business expense. Despite programs like LEED Certification, many commercial buildings waste large amounts of energy. Now a company called FirstFuel, based in Boston, is using open data to drive energy efficiency in these buildings. At the Energy Datapalooza, Swap Shah, the company’s CEO, described how analyzing energy data together with geospatial, weather, and other open data can give a very accurate view of a building’s energy consumption and ways to reduce it. (Sometimes the solution is startlingly simple: According to Shah, the largest source of waste is running heating and cooling systems at the same time.) Other companies are taking on the same kind of task – like Lucid, which provides an operating system that can track a building’s energy use in an integrated way.

Home energy use
A number of companies are finding data-driven solutions for homeowners who want to save money by reducing their energy usage. A key to success is putting together measurements of energy use in the home with public data on energy efficiency solutions. PlotWatt, for example, promises to help consumers “save money with real-time energy tracking” through the data it provides. One of the best-known companies in this area, Opower, uses a psychological strategy: it simultaneously gives people access to their own energy data and lets them compare their energy use to their neighbors’ as an incentive to save. Opower partners with utilities to provide this information, and the Virginia-based company has been successful enough to open offices in San Francisco, London, and Singapore. Soon more and more people will have access to data on their home energy use: Green Button, a government-promoted program implemented by utilities, now gives about 100 million Americans data about their energy consumption.

Solar power and renewable energy
As solar power becomes more efficient and affordable, a number of companies are emerging to support this energy technology. Clean Power Finance, for example, uses its database to connect solar entrepreneurs with sources of capital. In a different way, a company called Solar Census is analyzing publicly available data to find exactly where solar power can be produced most efficiently. The kind of analysis that used to require an on-site survey over several days can now be done in less than a minute with their algorithms.
Other kinds of geospatial and weather data can support other forms of renewable energy. The data will make it easier to find good sites for wind power stations, water sources for small-scale hydroelectric projects, and the best opportunities to tap geothermal energy.

Supporting new energy-efficient vehicles
The Tesla and other electric vehicles are becoming commercially viable, and we will soon see even more efficient vehicles on the road. Toyota has announced that its first fuel-cell cars, which run on hydrogen, will be commercially available by mid-2015, and other auto manufacturers have announced plans to develop fuel-cell vehicles as well. But these vehicles can’t operate without a network to supply power, be it electricity for a Tesla battery or hydrogen for a fuel cell.
It’s a chicken-and-egg problem: People won’t buy large numbers of electric or fuel-cell cars unless they know they can power them, and power stations will be scarce until there are enough vehicles to support their business. Now some new companies are facilitating this transition by giving drivers data-driven tools to find and use the power sources they need. Recargo, for example, provides tools to help electric car owners find charging stations and operate their vehicles.
The development of new energy sources will involve solving social, political, economic, and technological issues. Data science can help develop solutions and bring us more quickly to a new kind of energy future.
Joel Gurin, senior advisor at the GovLab and project director, Open Data 500. He also currently serves as a fellow of the U.S. Chamber of Commerce Foundation.

Driving Innovation With Open Data

Curated on Posted on by Stefaan Verhulst

Research Article by The GovLab’s Joel Gurin (Chapter 6 in the report, “The Future of Data-Driven Innovation.”):  The chapters in this report provide ample evidence of the power of data and its business potential. But like any business resource, data is only valuable if the benefit of using it outweighs its cost. Data collection, management, distribution, quality control, and application all come at a price—a potential obstacle for companies of any size, though especially for small and medium-sized enterprises.
Over the last several years, however, the “I” of data’s return on investment (ROI) has become less of a hurdle, and new data-driven companies are developing rapidly as a result. One major reason is that governments at the federal, state, and local level are making more data available at little or no charge for the private sector and the public to use. Governments collect data of all kinds—including scientific, demographic, and financial data—at taxpayer expense.
Now, public sector agencies and departments are increasingly repaying that public investment by making their data available to all for free or at a low cost. This is Open Data. While there are still costs in putting the data to use, the growing availability of this national resource is becoming a significant driver for hundreds of new businesses. This chapter describes the growing potential of Open Data and the data-driven innovation it supports, the types of data and applications that are most promising, and the policies that will encourage innovation going forward. Read and download this article in PDF format. “

Building a Smarter University Big Data, Innovation, and Analytics

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New book edited by Jason E. Lane : “The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at colleges and universities, higher education has yet to turn the digital mirror on itself to advance the academic enterprise. Institutions can use the huge amounts of data being generated to improve the student learning experience, enhance research initiatives, support effective community outreach, and develop campus infrastructure. This volume focuses on three primary themes related to creating a smarter university:  refining the operations and management of higher education institutions, cultivating the education pipeline, and educating the next generation of data scientists. Through an analysis of these issues, the contributors address how universities can foster innovation and ingenuity in the academy. They also provide scholarly and practical insights in order to frame these topics for an international discussion.”

Open Data as Universal Service. New perspectives in the Information Profession

Curated on Posted on by Stefaan Verhulst

Paper by L. Fernando Ramos Simón et al in Procedia – Social and Behavioral Sciences: “The Internet provides a global information flow, which improves living conditions in poor countries as well as in rich countries. Owing to its abundance and quality, public information (meteorological, geographic, transport information. and also the content managed in libraries, archives and museums) is an incentive for change, becoming invaluable and accessible to all citizens. However, it is clear that Open Data plays a significant role and provides a business service in the digital economy. Nevertheless, it is unknown how this amount of public data may be introduced as universal service to make it available to all citizens in matters of education, health, culture . In fact, a function or role which has traditionally been assumed by libraries. In addition, information professionals will have to acquire new skills that enable them to assume a new role in the information management: data management (Open Data) and content management (Open Content). Thus, this study analyzes new roles, which will be assumed by new information professionals such as metadata, interoperability, access licenses, information search and retrieval tools and applications for data queries…”

The Power of Data Analytics to Transform Government

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Hugo Moreno at Forbes: “It’s mind boggling to consider the amount of information governments collect on their citizens. We often just expect them to manage and analyze it in a way that will benefit the general public and facilitate government transparency. However, it can be difficult to organize, manage and extract insights from these large, diverse data sets. According to “Analytics Paves the Way for Better Government,” a Forbes Insights case study sponsored by SAP, government leaders have called for investment in Big Data analytics capabilities to modernize government services and aid their economies. State and federal governments have begun to recognize the benefits of applying analytics. In fact, McKinsey & Co. estimates that by digitizing information, disseminating public data sets and applying analytics to improve decision making, governments around the world can act as catalysts for more than $3 trillion in economic value.
Governor Mike Pence of Indiana understands the importance of data and is keeping it at the center of his long-term vision for improving the management and effectiveness of government programs and making Indiana a leader in data-driven decision making. A year after taking office, he ordered state agencies to collaborate and share data to improve services. Data sharing is not a common practice in states, but the governor recognized that sharing data will lead to a successful enterprise.
Insights from analytics will help Indiana pursue six public policy goals: Increase private sector employment; attract new investment to the state; improve the quality of the state’s workforce; improve the health, safety and well-being of families; increase high school graduation rates; and improve the math and reading skills of elementary students….”

We Want Privacy, but Can’t Stop Sharing

Curated on Posted on by Stefaan Verhulst

Kate Murphy in the New York Times: “Well, that’s essentially the state of affairs on the Internet. There is no privacy. If those creepy targeted ads on Google hadn’t tipped you off, then surely Edward J. Snowden’s revelations, or, more recently, Jennifer Lawrence’s nude selfies, made your vulnerability to cybersnooping abundantly clear.

You need only read George Orwell’s “1984” or watch the film “Minority Report” to understand how surveillance is incompatible with a free society. And increasingly, people are coming to understand how their online data might be used against them. You might not get a job, a loan or a date because of an indiscreet tweet or if your address on Google Street View shows your brother-in-law’s clunker in the driveway. But less obvious is the psychic toll of the current data free-for-all.

“With all the focus on the legal aspects of privacy and the impact on global trade there’s been little discussion of why you want privacy and why it’s intrinsically important to you as an individual,” said Adam Joinson, professor of behavior change at the University of the West of England in Bristol, who coined the term “digital crowding” to describe excessive social contact and loss of personal space online.

Perhaps that’s because there is no agreement over what constitutes private information. It varies among cultures, genders and individuals. Moreover, it’s hard to argue for the value of privacy when people eagerly share so much achingly personal information on social media.

But the history of privacy (loosely defined as freedom from being observed) is one of status. Those who are institutionalized for criminal behavior or ill health, children and the impoverished have less privacy than those who are upstanding, healthy, mature and wealthy. Think of crowded tenements versus mansions behind high hedges.

“The implication is that if you don’t have it, you haven’t earned the right or aren’t capable or trustworthy,” said Christena Nippert-Eng, professor of sociology at the Illinois Institute of Technology in Chicago and author of “Islands of Privacy.”

So it’s not surprising that privacy research in both online and offline environments has shown that just the perception, let alone the reality, of being watched results in feelings of low self-esteem, depression and anxiety. Whether observed by a supervisor at work or Facebook friends, people are inclined to conform and demonstrate less individuality and creativity. Their performance of tasks suffers and they have elevated pulse rates and levels of stress hormones.

An analogy in the psychological literature is that privacy is like sleep….”

Dubai detectives to get Google Glass to fight crime

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Reuters: “Dubai police plan to issue detectives with Google Glass hands-free eyewear to help them fight crime using facial recognition technology, a police spokesman in the wealthy Gulf Arab emirate said.
The wearable device consists of a tiny computer screen mounted in the corner of an eyeglass frame and is capable of taking photos, recording video and playing sound.The spokesman confirmed a report in Dubai’s 7 Days newspaper that software developed by Dubai police would enable a connection between the wearer and a database of wanted people. Once the device “recognized” a suspect based on a face print, it would alert the officer wearing the gadget.
The gadget would be used in a first phase to combat traffic violations and track vehicles suspected of involvement in motoring offences. A second phase would see the technology rolled out to detectives, the spokesman said.
The U.S. Internet company said in a blogpost in May that anyone in the United States could buy the gadget for $1,500.
Dubai’s decision appears in line with the authorities’ determination to spare no expense in equipping the police…”

Why the Open Definition Matters for Open Data: Quality, Compatibility and Simplicity

Curated on Posted on by Stefaan Verhulst
Rufus Pollock at Open Knowledge: “The Open Definition performs an essential function as a “standard”, ensuring that when you say “open data” and I say “open data” we both mean the same thing. This standardization, in turn, ensures the quality, compatibility and simplicity essential to realizing one of the main practical benefits of “openness”: the greatly increased ability to combine different datasets together to drive innovation, insight and change. …
However, these benefits are at significant risk both from quality-dilution and “open-washing”” (non-open data being passed off as open) as well as from fragmentation of the ecosystem as the proliferation of open licenses each with their own slightly different terms and conditions leads to incompatibility. The Open Definition helps eliminates these risks and ensure we realize the full benefits of open. It acts as the “gold standard” for open content and data guaranteeing quality and preventing incompatibility. This post explores in more detail why it’s important to have the Open Definition and the clear standard it provides for what “open” means in open data and open content…”