How Medical Crowdsourcing Empowers Patients & Doctors


Rob Stretch at Rendia: “Whether you’re a solo practitioner in a rural area, or a patient who’s bounced from doctor to doctor with adifficult–to-diagnose condition, there are many reasons why you might seek out expert medical advice from a larger group. Fortunately, in 2016, seeking feedback from other physicians or getting a second opinion is as easy as going online.

“Medical crowdsourcing” sites and apps are gathering steam, from provider-only forums likeSERMOsolves and Figure 1, to patient-focused sites like CrowdMed. They share the same mission of empowering doctors and patients, reducing misdiagnosis, and improving medicine. Is crowdsourcing the future of medicine? Read on to find out more.

Fixing misdiagnosis

An estimated 10 percent to 20 percent of medical cases are misdiagnosed, even more than drug errors and surgery on the wrong patient or body part, according to the National Center for Policy Analysis. And diagnostic errors are the leading cause of malpractice litigation. Doctors often report that with many of their patient cases, they would benefit from the support and advice of their peers.

The photo-sharing app for health professionals, Figure 1, is filling that need. Since we reported on it last year, the app has reached 1 million users and added a direct-messaging feature. The app is geared towards verified medical professionals, and goes to great lengths to protect patient privacy in keeping with HIPAAlaws. According to co-founder and CEO Gregory Levey, an average of 10,000 unique users check in toFigure 1 every hour, and medical professionals and students in 190 countries currently use the app.

Using Figure 1 to crowdsource advice from the medical community has saved at least one life. EmilyNayar, a physician assistant in rural Oklahoma and a self-proclaimed “Figure 1 addict,” told Wired magazine that because of photos she’d seen on the app, she was able to correctly diagnose a patient with shingles meningitis. Another doctor had misdiagnosed him previously, and the wrong medication could have killed him.

Collective knowledge at zero cost

In addition to serving as “virtual colleagues” for isolated medical providers, crowdsourcing forums can pool knowledge from an unprecedented number of doctors in different specialties and even countries,and can do so very quickly.

When we first reported on SERMO, the company billed itself as a “virtual doctors’ lounge.” Now, the global social network with 600,000 verified, credentialed physician members has pivoted to medical crowdsourcing with SERMOsolves, one of its most popular features, according to CEO Peter Kirk.

“Crowdsourcing patient cases through SERMOsolves is an ideal way for physicians to gain valuable information from the collective knowledge of hundreds of physicians instantly,” he said in a press release.According to SERMO, 3,500 challenging patient cases were posted in 2014, viewed 700,000 times, and received 50,000 comments. Most posted cases received responses within 1.5 hours and were resolved within a day. “We have physicians from more than 96 specialties and subspecialties posting on the platform, working together to share their valuable insights at zero cost to the healthcare system.”

While one early user of SERMO wrote on KevinMD.com that he felt the site’s potential was overshadowed by the anonymous rants and complaining, other users have noted that the medical crowdsourcing site has,like Figure 1, directly benefitted patients.

In an article on PhysiciansPractice.com, Richard Armstrong, M.D., cites the example of a family physician in Canada who posted a case of a young girl with an E. coli infection. “Physicians from around the world immediately began to comment and the recommendations resulted in a positive outcome for the patient.This instance offered cross-border learning experiences for the participating doctors, not only regarding the specific medical issue but also about how things are managed in different health systems,” wrote Dr.Armstrong.

Patients get proactive

While patients have long turned to social media to (questionably) crowdsource their medical queries, there are now more reputable sources than Facebook.

Tech entrepreneur Jared Heyman launched the health startup CrowdMed in 2013 after his sister endured a “terrible, undiagnosed medical condition that could have killed her,” he told the Wall Street Journal. She saw about 20 doctors over three years, racking up six-figure medical bills. The NIH Undiagnosed DiseaseProgram finally gave her a diagnosis: fragile X-associated primary ovarian insufficiency, a rare disease that affects just 1 in 15,000 women. A hormone patch resolved her debilitating symptoms….(More)”

How Technology Can Restore Our Trust in Democracy


Cenk Sidar in Foreign Policy: “The travails of the Arab Spring, the rise of the Islamic State, and the upsurge of right-wing populism throughout the countries of West all demonstrate a rising frustration with the liberal democratic order in the years since the 2008 financial crisis. There is a growing intellectual consensus that the world is sailing into uncharted territory: a realm marked by authoritarianism, shallow populism, and extremism.

One way to overcome this global resentment is to use the best tools we have to build a more inclusive and direct democracy. Could new technologies such as Augmented Reality (AR), Virtual Reality (VR), data analytics, crowdsourcing, and Blockchain help to restore meaningful dialogue and win back people’s hearts and minds?

Underpinning our unsettling current environment is an irony: Thanks to modern communication technology, the world is more connected than ever — but average people feel more disconnected. In the United States, polls show that trust in government is at a 50-year low. Frustrated Trump supporters and the Britons who voted for Brexit both have a sense of having “lost out” as the global elite consolidates its power and becomes less responsive to the rest of society. This is not an irrational belief: Branko Milanovic, a leading inequality scholar, has found that people in the lower and middle parts of rich countries’ income distributions have been the losers of the last 15 years of globalization.

The same 15 years have also brought astounding advances in technology, from the rise of the Internet to the growing ubiquity of smartphones. And Western society has, to some extent, struggled to find its bearings amid this transition. Militant groups seduce young people through social media. The Internet enables consumers to choose only the news that matches their preconceived beliefs, offering a bottomless well of partisan fury and conspiracy theories. Cable news airing 24/7 keeps viewers in a state of agitation. In short, communication technologies that are meant to bring us together end up dividing us instead (and not least because our politicians have chosen to game these tools for their own advantage).

It is time to make technology part of the solution. More urgently than ever, leaders, innovators, and activists need to open up the political marketplace to allow technology to realize its potential for enabling direct citizen participation. This is an ideal way to restore trust in the democratic process.

As the London School of Economics’ Mary Kaldor put it recently: “The task of global governance has to be reconceptualized to make it possible for citizens to influence the decisions that affect their lives — to reclaim substantive democracy.” One notable exception to the technological disconnect has been fundraising, as candidates have tapped into the Internet to enable millions of average voters to donate small sums. With the right vision, however, technological innovation in politics could go well beyond asking people for money….(More)”

Through the looking glass: Harnessing big data to respond to violent extremism


Michele Piercey, Carolyn Forbes, and Hasan Davulcu at Devex:”People think and say all sorts of things that they would never actually do. One of the biggest challenges in countering violent extremism is not only figuring out which people hold radical views, but who is most likely to join and act on behalf of violent extremist organizations. Determining who is likely to become violent is key to designing and evaluating more targeted interventions, but it has proven to be extremely difficult.

There are few recognized tools for assessing perceptions and beliefs, such as whether community sentiment about violent extremist organizations is more or less favorable, or which narratives and counternarratives resonate with vulnerable populations.

Program designers and monitoring and evaluation staff often rely on perception surveying to assess attitudinal changes that CVE programs try to achieve, but there are limitations to this method. Security and logistical challenges to collecting perception data in a conflict-affected community can make it difficult to get a representative sample, while ensuring the safety of enumerators and respondents. And given the sensitivity of the subject matter, respondents may be reluctant to express their actual beliefs to an outsider (that is, social desirability bias can affect data reliability).

The rise of smartphone technology and social media uptake among the burgeoning youth populations of many conflict-affected countries presents a new opportunity to understand what people believe from a safer distance, lessening the associated risks and data defects. Seeing an opportunity in the growing mass of online public data, the marketing industry has pioneered tools to “scrape” and aggregate the data to help companies paint a clearer picture of consumer behavior and perceptions of brands and products.

These developments present a critical question for CVE programs: Could similar tools be developed that would analyze online public data to identify who is being influenced by which extremist narratives and influences, learn which messages go viral, and distinguish groups and individuals who simply hold radical views from those who support or carry out violence?

Using data to track radicalization

Seeking to answer this question, researchers at Arizona State University’s Center for the Study of Religion and Conflict, Cornell University’s Social Dynamics Laboratory, and Carnegie Mellon’s Center for Computational Analysis of Social and Organizational systems have been innovating a wide variety of data analytics tools. ASU’s LookingGlass tool, for example, maps networks of perception, belief, and influence online. ASU and Chemonics International are now piloting the tool on a CVE program in Libya.

Drawn from the humanities and social and computational sciences, LookingGlass retrieves, categorizes, and analyzes vast amounts of data from across the internet to map the spread of extremist and counter-extremist influence online. The tool displays what people think about their political situation, governments and extremist groups, and tracks changes in these perceptions over time and in response to events. It also lets users visualize how groups emerge, interact, coalesce, and fragment in relation to emerging issues and events and evaluates “information cascades” to assess what causes extremist messages to go viral on social media and what causes them to die out.

By assessing the relative influence and expressed beliefs of diverse groups over time and in critical locations, LookingGlass represents an advanced capability for providing real-time contextual information about the ideological drivers of violent and counter-violent extremist movements online. Click here to view a larger version.

For CVE planners, LookingGlass can map social movements in relation to specific countries and regions. Indonesia, for example, has been the site of numerous violent movements and events. A relatively young democracy, the country’s complex political environment encompasses numerous groups seeking radical change across a wide spectrum of social and political issues….(More)”

 

Make Algorithms Accountable


Julia Angwin in The New York Times: “Algorithms are ubiquitous in our lives. They map out the best route to our destination and help us find new music based on what we listen to now. But they are also being employed to inform fundamental decisions about our lives.

Companies use them to sort through stacks of résumés from job seekers. Credit agencies use them to determine our credit scores. And the criminal justice system is increasingly using algorithms to predict a defendant’s future criminality.
Those computer-generated criminal “risk scores” were at the center of a recent Wisconsin Supreme Court decision that set the first significant limits on the use of risk algorithms in sentencing.
The court ruled that while judges could use these risk scores, the scores could not be a “determinative” factor in whether a defendant was jailed or placed on probation. And, most important, the court stipulated that a pre sentence report submitted to the judge must include a warning about the limits of the algorithm’s accuracy.

This warning requirement is an important milestone in the debate over how our data-driven society should hold decision-making software accountable.But advocates for big data due process argue that much more must be done to assure the appropriateness and accuracy of algorithm results.

An algorithm is a procedure or set of instructions often used by a computer to solve a problem. Many algorithms are secret. In Wisconsin, for instance,the risk-score formula was developed by a private company and has never been publicly disclosed because it is considered proprietary. This secrecy has made it difficult for lawyers to challenge a result.

 The credit score is the lone algorithm in which consumers have a legal right to examine and challenge the underlying data used to generate it. In 1970,President Richard M. Nixon signed the Fair Credit Reporting Act. It gave people the right to see the data in their credit reports and to challenge and delete data that was inaccurate.

For most other algorithms, people are expected to read fine-print privacy policies, in the hopes of determining whether their data might be used against them in a way that they wouldn’t expect.

 “We urgently need more due process with the algorithmic systems influencing our lives,” says Kate Crawford, a principal researcher atMicrosoft Research who has called for big data due process requirements.“If you are given a score that jeopardizes your ability to get a job, housing or education, you should have the right to see that data, know how it was generated, and be able to correct errors and contest the decision.”

The European Union has recently adopted a due process requirement for data-driven decisions based “solely on automated processing” that“significantly affect” citizens. The new rules, which are set to go into effect in May 2018, give European Union citizens the right to obtain an explanation of automated decisions and to challenge those decisions. However, since the European regulations apply only to situations that don’t involve human judgment “such as automatic refusal of an online credit application or e-recruiting practices without any human intervention,” they are likely to affect a narrow class of automated decisions. …More recently, the White House has suggested that algorithm makers police themselves. In a recent report, the administration called for automated decision-making tools to be tested for fairness, and for the development of“algorithmic auditing.”

But algorithmic auditing is not yet common. In 2014, Eric H. Holder Jr.,then the attorney general, called for the United States SentencingCommission to study whether risk assessments used in sentencing were reinforcing unjust disparities in the criminal justice system. No study was done….(More)”

Open Data for Developing Economies


Scan of the literature by Andrew Young, Stefaan Verhulst, and Juliet McMurren: This edition of the GovLab Selected Readings was developed as part of the Open Data for Developing Economies research project (in collaboration with WebFoundation, USAID and fhi360). Special thanks to Maurice McNaughton, Francois van Schalkwyk, Fernando Perini, Michael Canares and David Opoku for their input on an early draft. Please contact Stefaan Verhulst (stefaan@thegovlab.org) for any additional input or suggestions.

Open data is increasingly seen as a tool for economic and social development. Across sectors and regions, policymakers, NGOs, researchers and practitioners are exploring the potential of open data to improve government effectiveness, create new economic opportunity, empower citizens and solve public problems in developing economies. Open data for development does not exist in a vacuum – rather it is a phenomenon that is relevant to and studied from different vantage points including Data4Development (D4D), Open Government, the United Nations’ Sustainable Development Goals (SDGs), and Open Development. The below-selected readings provide a view of the current research and practice on the use of open data for development and its relationship to related interventions.

Selected Reading List (in alphabetical order)

  • Open Data and Open Development…
  • Open Data and Developing Countries (National Case Studies)….(More)”

Metric Power


Book by David Beer: This book examines the powerful and intensifying role that metrics play in ordering and shaping our everyday lives. Focusing upon the interconnections between measurement, circulation and possibility, the author explores the interwoven relations between power and metrics. He draws upon a wide-range of interdisciplinary resources to place these metrics within their broader historical, political and social contexts. More specifically, he illuminates the various ways that metrics implicate our lives – from our work, to our consumption and our leisure, through to our bodily routines and the financial and organisational structures that surround us. Unravelling the power dynamics that underpin and reside within the so-called big data revolution, he develops the central concept of Metric Power along with a set of conceptual resources for thinking critically about the powerful role played by metrics in the social world today….(More)”

Gamification of physical activity: Beat the Street and Pokémon Go


Katherine Knight at NESTA: “Since launching in the US on 6 July, Pokémon Go has become a global phenomenon with millions of downloads and more active users than Twitter. The game has been attributed with improving mental health, establishing augmented reality as mainstream and boosting traffic to local businesses.

Pokémon Go has also caused a massive spike in physical activity similar to that seen following New Year’s Resolutions. While the game’s main intention was not to transform the health of its players, it has clearly demonstrated the powerful potential of gamification as a means to get people active.

Gamified design has already been recognised by leading organisations in transport, nature, and the voluntary sector as a way to engage new audiences and change behaviour, but only recently have we come to understand how gamification can be used to dramatically increase physical activity and improve public health.

Changing habitual behaviours such as inactivity or driving to school and work has proven difficult via traditional health initiatives. Gamification provides new opportunities move people towards a more active lifestyle by providing positive incentives and rewards for players who get moving. In the case of Pokémon GO, the incentive to catch and collect as many Pokémon as possible is enough to nudge players to go outside and get active.

Gamification offers advantages over other types of physical activity campaigns due to its ability to bypass the perceived barriers to becoming active. Gamified design can deliver health through stealth by encouraging people to play a fun, free game rather than take part in a fitness scheme.

The impact of gamifying health can be clearly seen in Intelligent Health’s Beat the Street initiative which transforms communities into playable cities. At the heart of Beat the Street is a six-week game where residents are encouraged to explore their local area by tapping cards and fobs against special sensors – Beat Boxes – distributed across their town. Players are rewarded with points, can create teams and earn prizes depending on how far they run, walk or cycle….(More)”.

Responsible citizenship app for IRL social network


Springwise: “Many point to the breakdown of community cohesion as a direct result of social media. Now a French startup based in Lyon has launched an app that promotes exchanges between people who don’t necessarily know each other, but who use the same services in the same area.

Launched in September 2015 a few months before COP21, CityLity aims to connect citizens with each other and their local services, branding itself as a “social network of proximity”. Users can search for local services such as a local plumber or sports facility; they can alert the responsible authority about a problem that needs fixing (a leaking water hydrant for example); they can even ask for help moving house from their neighbors. The system also incentivizes eco-friendly behavior, and has created the country’s first interactive eco-responsible map which lists services such as recycling, charging points for electric cars and rental bike stations.

Encouraging smarter local networks is the driving force behind an app where citizens can input questions in the same way as they would use Siri and receive evidence-based answers regarding their city….(More)”

Bitcoin: innovation of money and evolution of governance


Nozomi Hayase in Open Democracy: “In its seven years of existence, Bitcoin has gained widespread attention with its disruptive potential in finance. Some see it as a form of digital gold, offering a safe haven against capital controls and asylum to people whose currency is debased.

The invention of cryptocurrency coincided with a global crisis of legitimacy in the 2008 financial meltdown, which was followed by bank bailouts and for the people, a cycle of austerity. In that seminal white paper, mysterious creator Satoshi Nakamoto described Bitcoin as a purely peer-to-peer version of electronic cash that would allow “online payments to be sent directly from one party to another without going through a financial institution”. The core invention is distributed trust and Nakamoto stated that it was put forward as a solution to the “inherent weakness of the trust based model”, where financial institutions act as trusted third parties.

Bitcoin, I will argue, is not just an innovation in banking and finance, but at its core, concerns a challenge to governance systems that can lead to an evolution of humanity. For so long, social progress has stagnated, with the selfish and callous sides of man taking the upper hand. Unprecedented levels of government and corporate corruption in recent years have signaled a breakdown of systems of accountability. This deep failure of democracy has exposed the existence of individuals who exhibit a total lack of conscience and empathy for others. They embody a dark side of individuality, with aggressive and narrow selfish desires that often come in conflict with the public good. Now, the destructive actions of this minority seem to have become a threat to civilization itself. We shall explore how Bitcoin provides a new model of governance that is resilient to these adversarial forces.

Security holes within representative democracy

In the US, the launch of constitutional democracy brought a significant departure from the monarchy of olden times, where the king acted as ordained ruler. Yet, the foundation of this governance has not fundamentally changed, as it still relies on authority, requiring people to trust those who claim to represent them in the form of elected officials.

Representative democracy has increasingly become a mask used by ruthless individuals to hide and gain a grip on the populace. Behind the veil of secrecy, corporate masters behind the charade of electoral politics sponsor political candidates, who with campaign promises keep people passive and manage down their expectation levels. With future faking, which involves making plans that will never happen, and gas-lighting, a tactic known to challenge one’s memory, they deceive and gain power over others.

Money as a weapon of control

Money dependent on systems of representation requires trust to work. With the creation of the Federal Reserve and other central banks, private corporations began taking over the supplying of money. This centrally planned money production intermediates human relationship by dividing all into classes of creditors and debtors, where the former are masters, while the latter often become de-facto slaves.

The hidden captains of this managed democracy direct the flow of currency through financial engineering and have created incentive structures that are bent toward preserving their power. Stimulated by toxic asset bubbles, derivatives and quantitative easing, these incentives work like invisible hands of the market. They suppress democratic values by controlling information, which is the currency of democracy and suppressing free speech with economic censorship, as was seen in the case of the financial blockade against WikiLeaks. With radical deregulation, this system promotes fraud and depravity, exemplified in HSBC’s money laundering and top bank’s currency rigging. Through oppressive monetary policy and predatory lending that is presented as humanitarian aid, institutions such as the IMF and World Bank indebtdeveloping countries, holding whole populations in poverty.

All of this has resulted in the creation of a two-tiered justice system and derisked capitalism, where those in power are never allowed to fail and are not held accountable either by markets or the legal system….

Bitcoin as a new security model

Bitcoin brings an elegant solution to this systemic parasitic rent-seeking and exploitation. As asset-based digital cash, it offers an alternative to the promissory system of value creation by decree from above. Currency is its first application and Bitcoin’s underlying technology, the blockchain is a public asset ledger. This is a distributed database that records a history of transactions in the network without anyone in charge. Once data is verified, no one can undo it. This immutable timestamp goes beyond simple accounting of monetary transactions.

Bitcoin enables a new security model and it addresses the problem of security holes in the existing trust-based model of governance. Author and security expert Andreas Antonopoulos called this “trust by computation” that has “no central authority or trusted third party”….

Governance without central authority

Over the decades, democratic governments have become vehicles of control that have lost their fail-safe. Increasingly, people are held hostage by this corrupted political system. Satoshi’s white paper published in 2008 cleared a path for evolution. This wisdom can help humanity solve the problem of a historic failure of accountability.

Bitcoin ungoverns people as well as unbanking them around the world. Proof-of-work distributes what used to be third party trust across a massive global decentralized network, fostering a kind of self-governance in each individual. People who till now have been blindly handing over their consent to institutions can instead choose to be equal under the law of mathematics.

Governance without central authority can at first seem inefficient. But it is more secure than the current system of representation. The more the system reduces the need to trust a third party, replacing it with a borderless network, the lower the security risk becomes. With Bitcoin, governance can be innovated to function as a platform of consensus. Rather than a system to govern others, it can be used as settlement; to work out disputes and reconcile conflicts. Distributed trust as its core technology enables the capacity to set up rules agreed to by everyone, which cannot be altered by one person or group. The Bitcoin blockchain opens a door into a pluralistic society where all can participate in creating governance models and currencies that manifest their values through the principle of mutual aid and voluntary association….(More)”

Sustainable Business Models for Public Sector Open Data Providers


Frederika Welle Donker and Bastiaan van Loenen in the Journal of eDemocracy and Open Government: “Since 2009, Open Government Data initiatives have been launched worldwide and the concept of open data is gaining momentum. Open data are often associated with realizing ambitions, such as a more transparent and efficient government, solving societal problems and increased economic value. However, between proposing an open data policy and successful implementation are some practicable obstacles, especially for government agencies required to generate sufficient revenue to cover their operating costs, so-called self-funding agencies. With lost revenue due to open data, there is a real risk that the update frequency and the quality of data may suffer or that the open data policy may even have to be reversed. This article has researched the financial effects of open data policies for self-funding agencies on their business model. The article provides some hands-on proposals for self-funding agencies having to implement an open data policy whilst ensuring their long-term sustainability….(More)”