How Fast is Your Carrier? Crowdsourcing Mobile Network Quality with OpenSignal


Discover: I was on a call with Teresa Murphy-Skorzova, Community Growth Manager for OpenSignal, an app that uses crowd-sourcing to aggregate cell phone signals and WiFi strength data throughout the world. …She explains that while cell phone networks like Verizon and AT&T measure the percent of the population that usually has coverage, OpenSignal is “measuring the experience of the user,” mapping signals from the devices themselves in real time. Individuals record their connection as they go about their day. The app recognizes that people and their cell phone devices are, well… mobile.

In reception to Teresa’s curiosity about my connection, I opened the app and pressed the start button, trying a “Speedtest”. A number begins to fluctuate on my screen. Download speed: 14.9 mbps. A new number begins to fluctuate, testing upload speed. 5.3 mbps. I felt like I had just played slots, already anticipating my next results. I tried again, and saw that my download speed was up to 17.5 mbps. I wondered what my speeds were at the coffee shops I frequent. What about in the woods where I took a hike last weekend, or in the subway tunnel where my texts rarely send?

opensignal app gif

…While individuals learn where to find their own best signals, they contribute to a much larger voice about network quality, Teresa explained. “When a user discovers an area that hasn’t been measured or when they discover an area with poor signal, they’re eager to contribute.” While users are interested in their personal signals, OpenSignal is interesting in tracking the aggregated signal of all devices of a particular location and network. Individual device data is therefore kept anonymous.

Some surprising research projects have used OpenSignal’s data to discover implications about health, the economy, and weather. In one of these projects a team at the Royal Netherlands Meteorological Institute (RNMI) collaborated with OpenSignal to expand the rain radar program. Rainfall gradually weakens reception between cell phone towers creating a space-time map of rainfall, or rain radar map, with cellular link data. RNMI looked at OpenSignal data from unlikely rain radar locations. Some areas were remote or impoverished while others had fairly arid climates. They can now determine whether rain radar is feasible on a larger scale….(More)”

Batea: a Wikipedia hack for medical students


Tom Sullivan at HealthCareIT: “Medical students use Wikipedia in great numbers, but what if it were a more trusted source of information?

That’s the idea behind Batea, a piece of software that essentially collects data from clinical reference URLs medical students visit, then aggregates that information to share with WikiProject Medicine, such that relevant medical editors can glean insights about how best to enhance Wikipedia’s medical content.

Batea takes its name from the Spanish name for gold pan, according to Fred Trotter, a data journalist at DocGraph.

“It’s a data mining project,” Trotter explained, “so we wanted a short term that positively referenced mining.”

DocGraph built Batea with support from the Robert Wood Johnson Foundation and, prior to releasing it on Tuesday, operated beta testing pilots of the browser extension at the University of California, San Francisco and the University of Texas, Houston.

UCSF, for instance, has what Trotter described as “a unique program where medical students edit Wikipedia for credit. They helped us tremendously in testing the alpha versions of the software.”

Wikipedia houses some 25,000 medical articles that receive more than 200 million views each month, according to the DocGraph announcement, while 8,000 pharmacology articles are read more than 40 million times a month.

DocGraph is encouraging medical students around the country to download the Batea extension – and anonymously donate their clinical-related browsing history. Should Batea gain critical mass, the potential exists for it to substantively enhance Wikipedia….(More)”

How Big Data is Helping to Tackle Climate Change


Bernard Marr at DataInformed: “Climate scientists have been gathering a great deal of data for a long time, but analytics technology’s catching up is comparatively recent. Now that cloud, distributed storage, and massive amounts of processing power are affordable for almost everyone, those data sets are being put to use. On top of that, the growing number of Internet of Things devices we are carrying around are adding to the amount of data we are collecting. And the rise of social media means more and more people are reporting environmental data and uploading photos and videos of their environment, which also can be analyzed for clues.

Perhaps one of the most ambitious projects that employ big data to study the environment is Microsoft’s Madingley, which is being developed with the intention of creating a simulation of all life on Earth. The project already provides a working simulation of the global carbon cycle, and it is hoped that, eventually, everything from deforestation to animal migration, pollution, and overfishing will be modeled in a real-time “virtual biosphere.” Just a few years ago, the idea of a simulation of the entire planet’s ecosphere would have seemed like ridiculous, pie-in-the-sky thinking. But today it’s something into which one of the world’s biggest companies is pouring serious money. Microsoft is doing this because it believes that analytical technology has finally caught up with the ability to collect and store data.

Another data giant that is developing tools to facilitate analysis of climate and ecological data is EMC. Working with scientists at Acadia National Park in Maine, the company has developed platforms to pull in crowd-sourced data from citizen science portals such as eBird and iNaturalist. This allows park administrators to monitor the impact of climate change on wildlife populations as well as to plan and implement conservation strategies.

Last year, the United Nations, under its Global Pulse data analytics initiative, launched the Big Data Climate Challenge, a competition aimed to promote innovate data-driven climate change projects. Among the first to receive recognition under the program is Global Forest Watch, which combines satellite imagery, crowd-sourced witness accounts, and public datasets to track deforestation around the world, which is believed to be a leading man-made cause of climate change. The project has been promoted as a way for ethical businesses to ensure that their supply chain is not complicit in deforestation.

Other initiatives are targeted at a more personal level, for example by analyzing transit routes that could be used for individual journeys, using Google Maps, and making recommendations based on carbon emissions for each route.

The idea of “smart cities” is central to the concept of the Internet of Things – the idea that everyday objects and tools are becoming increasingly connected, interactive, and intelligent, and capable of communicating with each other independently of humans. Many of the ideas put forward by smart-city pioneers are grounded in climate awareness, such as reducing carbon dioxide emissions and energy waste across urban areas. Smart metering allows utility companies to increase or restrict the flow of electricity, gas, or water to reduce waste and ensure adequate supply at peak periods. Public transport can be efficiently planned to avoid wasted journeys and provide a reliable service that will encourage citizens to leave their cars at home.

These examples raise an important point: It’s apparent that data – big or small – can tell us if, how, and why climate change is happening. But, of course, this is only really valuable to us if it also can tell us what we can do about it. Some projects, such as Weathersafe, which helps coffee growers adapt to changing weather patterns and soil conditions, are designed to help humans deal with climate change. Others are designed to tackle the problem at the root, by highlighting the factors that cause it in the first place and showing us how we can change our behavior to minimize damage….(More)”

Crowdsourced phone camera footage maps conflicts


Springwise: “The UN requires accurate proof when investigating possible war crimes, but with different sides of a conflict providing contradicting evidence, and the unsafe nature of the environment, gaining genuine insight can be problematic. A team based at Goldsmith’s University in the UK are using amateur footage to investigate.

Forensic Architecture makes use of the increasingly prevalent smartphone footage on social media networks. By crowdsourcing several viewpoints around a given location on an accurately 3D rendered map, the team are able to determine where explosive devices were used, and of what calibre. Key resources are smoke plumes from explosions, which provide a unique shape at any moment, allowing the team to map them and identify the smoke at the exact moment from various viewpoints, providing a dossier of evidence to build up evidence against a war crime.

While Forensic Architecture’s method has been developed to validate war crime atrocities, the potential uses in other areas where satellite data are not available are numerous — forest fire sources could be located based on smoke plumes, and potential crowd crush scenarios may be spotted before they occur….(More)”

Build digital democracy


Dirk Helbing & Evangelos Pournaras in Nature: “Fridges, coffee machines, toothbrushes, phones and smart devices are all now equipped with communicating sensors. In ten years, 150 billion ‘things’ will connect with each other and with billions of people. The ‘Internet of Things’ will generate data volumes that double every 12 hours rather than every 12 months, as is the case now.

Blinded by information, we need ‘digital sunglasses’. Whoever builds the filters to monetize this information determines what we see — Google and Facebook, for example. Many choices that people consider their own are already determined by algorithms. Such remote control weakens responsible, self-determined decision-making and thus society too.

The European Court of Justice’s ruling on 6 October that countries and companies must comply with European data-protection laws when transferring data outside the European Union demonstrates that a new digital paradigm is overdue. To ensure that no government, company or person with sole control of digital filters can manipulate our decisions, we need information systems that are transparent, trustworthy and user-controlled. Each of us must be able to choose, modify and build our own tools for winnowing information.

With this in mind, our research team at the Swiss Federal Institute of Technology in Zurich (ETH Zurich), alongside international partners, has started to create a distributed, privacy-preserving ‘digital nervous system’ called Nervousnet. Nervousnet uses the sensor networks that make up the Internet of Things, including those in smartphones, to measure the world around us and to build a collective ‘data commons’. The many challenges ahead will be best solved using an open, participatory platform, an approach that has proved successful for projects such as Wikipedia and the open-source operating system Linux.

A wise king?

The science of human decision-making is far from understood. Yet our habits, routines and social interactions are surprisingly predictable. Our behaviour is increasingly steered by personalized advertisements and search results, recommendation systems and emotion-tracking technologies. Thousands of pieces of metadata have been collected about every one of us (seego.nature.com/stoqsu). Companies and governments can increasingly manipulate our decisions, behaviour and feelings1.

Many policymakers believe that personal data may be used to ‘nudge’ people to make healthier and environmentally friendly decisions. Yet the same technology may also promote nationalism, fuel hate against minorities or skew election outcomes2 if ethical scrutiny, transparency and democratic control are lacking — as they are in most private companies and institutions that use ‘big data’. The combination of nudging with big data about everyone’s behaviour, feelings and interests (‘big nudging’, if you will) could eventually create close to totalitarian power.

Countries have long experimented with using data to run their societies. In the 1970s, Chilean President Salvador Allende created computer networks to optimize industrial productivity3. Today, Singapore considers itself a data-driven ‘social laboratory’4 and other countries seem keen to copy this model.

The Chinese government has begun rating the behaviour of its citizens5. Loans, jobs and travel visas will depend on an individual’s ‘citizen score’, their web history and political opinion. Meanwhile, Baidu — the Chinese equivalent of Google — is joining forces with the military for the ‘China brain project’, using ‘deep learning’ artificial-intelligence algorithms to predict the behaviour of people on the basis of their Internet activity6.

The intentions may be good: it is hoped that big data can improve governance by overcoming irrationality and partisan interests. But the situation also evokes the warning of the eighteenth-century philosopher Immanuel Kant, that the “sovereign acting … to make the people happy according to his notions … becomes a despot”. It is for this reason that the US Declaration of Independence emphasizes the pursuit of happiness of individuals.

Ruling like a ‘benevolent dictator’ or ‘wise king’ cannot work because there is no way to determine a single metric or goal that a leader should maximize. Should it be gross domestic product per capita or sustainability, power or peace, average life span or happiness, or something else?

Better is pluralism. It hedges risks, promotes innovation, collective intelligence and well-being. Approaching complex problems from varied perspectives also helps people to cope with rare and extreme events that are costly for society — such as natural disasters, blackouts or financial meltdowns.

Centralized, top-down control of data has various flaws. First, it will inevitably become corrupted or hacked by extremists or criminals. Second, owing to limitations in data-transmission rates and processing power, top-down solutions often fail to address local needs. Third, manipulating the search for information and intervening in individual choices undermines ‘collective intelligence’7. Fourth, personalized information creates ‘filter bubbles’8. People are exposed less to other opinions, which can increase polarization and conflict9.

Fifth, reducing pluralism is as bad as losing biodiversity, because our economies and societies are like ecosystems with millions of interdependencies. Historically, a reduction in diversity has often led to political instability, collapse or war. Finally, by altering the cultural cues that guide peoples’ decisions, everyday decision-making is disrupted, which undermines rather than bolsters social stability and order.

Big data should be used to solve the world’s problems, not for illegitimate manipulation. But the assumption that ‘more data equals more knowledge, power and success’ does not hold. Although we have never had so much information, we face ever more global threats, including climate change, unstable peace and socio-economic fragility, and political satisfaction is low worldwide. About 50% of today’s jobs will be lost in the next two decades as computers and robots take over tasks. But will we see the macroeconomic benefits that would justify such large-scale ‘creative destruction’? And how can we reinvent half of our economy?

The digital revolution will mainly benefit countries that achieve a ‘win–win–win’ situation for business, politics and citizens alike10. To mobilize the ideas, skills and resources of all, we must build information systems capable of bringing diverse knowledge and ideas together. Online deliberation platforms and reconfigurable networks of smart human minds and artificially intelligent systems can now be used to produce collective intelligence that can cope with the diverse and complex challenges surrounding us….(More)” See Nervousnet project

UK police force trials virtual crime visits over Skype


Nick Summers at Engadget: In an effort to cut costs and make its officers more efficient, police in Peterborough, England are asking citizens to report their crimes over Skype. So, whereas before a local “bobby” would come round to their house, notepad in hand, to ask questions and take down what happened, the entire process will now be conducted over webcam. Alternatively, victims can do the follow-up on the phone or at the station — handy if Skype is being its usual, unreliable self. The system is being trialled for crimes reported via 101, the police’s non-emergency contact number. The force says it’ll give people more flexibility with appointment times, and also ensure officers spend more hours each day on patrol. We suspect it also has something to do with the major budget cuts facing forces up and down the country….(More)”

Privacy in a Digital, Networked World: Technologies, Implications and Solutions


Book edited by Zeadally, Sherali and Badra, Mohamad: “This comprehensive textbook/reference presents a focused review of the state of the art in privacy research, encompassing a range of diverse topics. The first book of its kind designed specifically to cater to courses on privacy, this authoritative volume provides technical, legal, and ethical perspectives on privacy issues from a global selection of renowned experts. Features: examines privacy issues relating to databases, P2P networks, big data technologies, social networks, and digital information networks; describes the challenges of addressing privacy concerns in various areas; reviews topics of privacy in electronic health systems, smart grid technology, vehicular ad-hoc networks, mobile devices, location-based systems, and crowdsourcing platforms; investigates approaches for protecting privacy in cloud applications; discusses the regulation of personal information disclosure and the privacy of individuals; presents the tools and the evidence to better understand consumers’ privacy behaviors….(More)”

Using Crowdsourcing to Track the Next Viral Disease Outbreak


The TakeAway: “Last year’s Ebola outbreak in West Africa killed more than 11,000 people. The pandemic may be diminished, but public health officials think that another major outbreak of infectious disease is fast-approaching, and they’re busy preparing for it.

Boston public radio station WGBH recently partnered with The GroundTruth Project and NOVA Next on a series called “Next Outbreak.” As part of the series, they reported on an innovative global online monitoring system called HealthMap, which uses the power of the internet and crowdsourcing to detect and track emerging infectious diseases, and also more common ailments like the flu.

Researchers at Boston Children’s Hospital are the ones behind HealthMap (see below), and they use it to tap into tens of thousands of sources of online data, including social media, news reports, and blogs to curate information about outbreaks. Dr. John Brownstein, chief innovation officer at Boston Children’s Hospital and co-founder of HealthMap, says that smarter data collection can help to quickly detect and track emerging infectious diseases, fatal or not.

“Traditional public health is really slowed down by the communication process: People get sick, they’re seen by healthcare providers, they get laboratory confirmed, information flows up the channels to state and local health [agencies], national governments, and then to places like the WHO,” says Dr. Brownstein. “Each one of those stages can take days, weeks, or even months, and that’s the problem if you’re thinking about a virus that can spread around the world in a matter of days.”

The HealthMap team looks at a variety of communication channels to undo the existing hierarchy of health information.

“We make everyone a stakeholder when it comes to data about outbreaks, including consumers,” says Dr. Brownstein. “There are a suite of different tools that public health officials have at their disposal. What we’re trying to do is think about how to communicate and empower individuals to really understand what the risks are, what the true information is about a disease event, and what they can do to protect themselves and their families. It’s all about trying to demystify outbreaks.”

In addition to the map itself, the HealthMap team has a number of interactive tools that individuals can both use and contribute to. Dr. Brownstein hopes these resources will enable the public to care more about disease outbreaks that may be happening around them—it’s a way to put the “public” back in “public health,” he says.

“We have a app called Outbreaks Near Me that allows people to know about what disease outbreaks are happening in their neighborhood,” Dr. Brownstein says. “Flu Near You is a an app that people use to self report on symptoms; Vaccine Finder is a tool that allows people to know what vaccines are available to them and their community.”

In addition to developing their own app, the HealthMap has partnered with existing tech firms like Uber to spread the word about public health.

“We worked closely with Uber last year and actually put nurses in Uber cars and delivered vaccines to people,” Dr. Brownstein says. “The closest vaccine location might still be only a block away for people, but people are still hesitant to get it done.”…(More)”

Smart Citizens, Smarter State


Screen Shot 2015-10-29 at 8.30.59 AMBook by Beth Simone Noveck (TheGovLab): “Government “of the people, by the people, for the people” expresses an ideal that resonates in all democracies. Yet poll after poll reveals deep distrust of institutions that seem to have left “the people” out of the equation. Government bureaucracies that are supposed to solve critical problems on their own are a troublesome outgrowth of the professionalization of public life in the industrial age.They are especially ill-suited to confronting today’s complex challenges. Offering a far-reaching program for innovation, Smart Citizens, Smarter State suggests that public decision-making could be more effective and legitimate if our institutions knew how to use technology to leverage citizens’ expertise.

Drawing on a wide range of disciplines and practical examples from her work as an adviser to governments on innovation, Noveck explores how to create more open and collaborative institutions. She puts forward a profound new vision for participatory democracy rooted not in the paltry act of occasional voting or the serendipity of crowdsourcing, but in people’s knowledge and know-how.”

Check out http://smarterstate.org/

Smarter Government For Social Impact: A New Mindset For Better Outcomes


Report by Drive Impact: “From Kentucky to Arkansas to New York, government leaders across the United States are leveraging data, technology, and a heightened focus on outcomes to deliver social impact with modern solutions. In Louisville, Kentucky, “smart” asthma inhalers track where attacks happen citywide and feed this data into a government dashboard, helping policymakers identify hot spots to improve air quality and better treat patients. Policy leaders in New York and Texas are reforming Medicaid with “value-based payments” that reward doctors for performing preventive procedures that protect against costly tests and treatments down the road. In Arkansas, a digital government platform called Gov2Go connects citizens with a personalized console that sends reminders to file paperwork, renew registrations, and seek out other relevant government services.

What all of these initiatives share is a smarter approach to policymaking: an operating belief that government can and should reward the best policies and programs by paying for the best outcomes and using the best data and technology to identify solutions that can transform service delivery and strengthen citizens’ connection to government. These transformational policies are smarter government, and America needs more of it. Smarter government uses an outcomes mindset to embrace cutting-edge data and technology, make better funding choices, learn from policy failures and successes, act on new knowledge about what works, and align clear goals with the right incentives to achieve them. Americans need a smarter, outcomes-focused government for the twenty-first century—one that can identify and address systemic barriers to effective service delivery and seek out and promote innovative solutions to our greatest social challenges….(More)”