Essay by Ilya Somin in Special issue on Is Smaller Government Smarter Government? of Cato Unbound: ” Democracy is supposed to be rule of the people, by the people, and for the people. But in order to rule effectively, the people need political knowledge. If they know little or nothing about government, it becomes difficult to hold political leaders accountable for their performance. Unfortunately, public knowledge about politics is disturbingly low. In addition, the public also often does a poor job of evaluating the political information they do know. This state of affairs has persisted despite rising education levels, increased availability of information thanks to modern technology, and even rising IQ scores. It is mostly the result of rational behavior, not stupidity. Such widespread and persistent political ignorance and irrationality strengthens the case for limiting and decentralizing the power of government….
Political ignorance in America is deep and widespread. The current government shutdown fight provides some good examples. Although Obamacare is at the center of that fight and much other recent political controversy, 44% percent of the public do not even realize it is still the law. Some 80 percent, according to a recent Kaiser survey, say they have heard “nothing at all” or “only a little” about the controversial insurance exchanges that are a major part of the law….
Some people react to data like the above by thinking that the voters must be stupid. Butpolitical ignorance is actually rational for most of the public, including most smart people. If your only reason to follow politics is to be a better voter, that turns out not be much of a reason at all. That is because there is very little chance that your vote will actually make a difference to the outcome of an election (about 1 in 60 million in a presidential race, for example).2 For most of us, it is rational to devote very little time to learning about politics, and instead focus on other activities that are more interesting or more likely to be useful. As former British Prime Minister Tony Blair puts it, “[t]he single hardest thing for a practising politician to understand is that most people, most of the time, don’t give politics a first thought all day long. Or if they do, it is with a sigh…. before going back to worrying about the kids, the parents, the mortgage, the boss, their friends, their weight, their health, sex and rock ‘n’ roll.”3 Most people don’t precisely calculate the odds that their vote will make a difference. But they probably have an intuitive sense that the chances are very small, and act accordingly.
In the book, I also consider why many rationally ignorant people often still bother to vote.4 The key factor is that voting is a lot cheaper and less time-consuming than studying political issues. For many, it is rational to take the time to vote, but without learning much about the issues at stake….
Political ignorance is far from the only factor that must be considered in deciding the appropriate size, scope, and centralization of government. For example, some large-scale issues, such as global warming, are simply too big to be effectively addressed by lower-level governments or private organizations. Democracy and Political Ignorance is not a complete theory of the proper role of government in society. But it does suggest that the problem of political ignorance should lead us to limit and decentralize government more than we would otherwise.”
See also: Ilya Somin, Democracy and Political Ignorance: Why Smaller Government is Smarter, (Stanford: Stanford University Press, 2013)
Data Discrimination Means the Poor May Experience a Different Internet
MIT Technology Review: “Data analytics are being used to implement a subtle form of discrimination, while anonymous data sets can be mined to reveal health data and other private information, a Microsoft researcher warned this morning at MIT Technology Review’s EmTech conference.
Kate Crawford, principal researcher at Microsoft Research, argued that these problems could be addressed with new legal approaches to the use of personal data.
In a new paper, she and a colleague propose a system of “due process” that would give people more legal rights to understand how data analytics are used in determinations made against them, such as denial of health insurance or a job. “It’s the very start of a conversation about how to do this better,” Crawford, who is also a visiting professor at the MIT Center for Civic Media, said in an interview before the event. “People think ‘big data’ avoids the problem of discrimination, because you are dealing with big data sets, but in fact big data is being used for more and more precise forms of discrimination—a form of data redlining.”
During her talk this morning, Crawford added that with big data, “you will never know what those discriminations are, and I think that’s where the concern begins.”
The Best American Infographics 2013
New book by Gareth Cook: “The rise of infographics across virtually all print and electronic media—from a striking breakdown of classic cocktails to a graphic tracking 200 influential moments that changed the world to visually arresting depictions of Twitter traffic—reveals patterns in our lives and our world in fresh and surprising ways. In the era of big data, where information moves faster than ever, infographics provide us with quick, often influential bursts of art and knowledge—on the environment, politics, social issues, health, sports, arts and culture, and more—to digest, to tweet, to share, to go viral.
The Best American Infographics captures the finest examples from the past year, including the ten best interactive infographics, of this mesmerizing new way of seeing and understanding our world.”
See also selection of some in Wired.
A Global Online Network Lets Health Professionals Share Expertise
Rebecca Weintraub, Aaron C. Beals, Sophie G. Beauvais, Marie Connelly, Julie Rosenberg Talbot, Aaron VanDerlip, and Keri Wachter in HBR Blog Network : “In response, our team at the Global Health Delivery Project at Harvard launched an online platform to generate and disseminate knowledge in health care delivery. With guidance from Paul English, chief technology officer of Kayak, we borrowed a common tool from business — professional virtual communities (PVCs) — and adapted it to leverage the wisdom of the crowds. In business, PVCs are used for knowledge management and exchange across multiple organizations, industries, and geographies. In health care, we thought, they could be a rapid, practical means for diverse professionals to share insights and tactics. As GHDonline’s rapid growth and success have demonstrated, they can indeed be a valuable tool for improving the efficiency, quality, and the ultimate value of health care delivery….
Creating a professional virtual network that would be high quality, participatory, and trusted required some trial and error both in terms of the content and technology. What features would make the site inviting, accessible, and useful? How could members establish trust? What would it take to involve professionals from differing time zones in different languages?
The team launched GHDonline in June 2008 with public communities in tuberculosis-infection control, drug-resistant tuberculosis, adherence and retention, and health information technology. Bowing to the reality of the sporadic electricity service and limited internet bandwidth available in many countries, we built a lightweight platform, meaning that the site minimized the use of images and only had features deemed essential….
Even with early successes in terms of membership growth and daily postings to communities, user feedback and analytics directed the team to simplify the user navigation and experience. Longer, more nuanced, in-depth conversations in the communities were turned into “discussion briefs” — two-page, moderator-reviewed summaries of the conversations. The GHDonline team integrated Google Translate to accommodate the growing number of non-native English speakers. New public communities were launched for nursing, surgery, and HIV and malaria treatment and prevention. You can view all of the features of GHDOnline here (PDF).”
The Science Behind Using Online Communities To Change Behavior
Sean D. Young in TechCrunch: “Although social media and online communities might have been developed for people to connect and share information, recent research shows that these technologies are really helpful in changing behaviors. My colleagues and I in the medical school, for instance, created online communities designed to improve health by getting people to do things, such as test for HIV, stop using methamphetamines, and just de-stress and relax. We don’t handpick people to join because we think they’ll love the technology; that’s not how science works. We invite them because the technology is relevant to them — they’re engaging in drugs, sex and other behaviors that might put themselves and others at risk. It’s our job to create the communities in a way that engages them enough to want to stay and participate. Yes, we do offer to pay them $30 to complete an hour-long survey, but then they are free to collect their money and never talk to us again. But for some reason, they stay in the group and decide to be actively engaged with strangers.
So how do we create online communities that keep people engaged and change their behaviors? Our starting point is to understand and address their psychological needs….
Throughout our research, we find that newly created online communities can change people’s behaviors by addressing the following psychological needs:
The Need to Trust. Sharing our thoughts, experiences, and difficulties with others makes us feel closer to others and increases our trust. When we trust people, we’re more open-minded, more willing to learn, and more willing to change our behavior. In our studies, we found that sharing personal information (even something as small as describing what you did today) can help increase trust and change behavior.
The Need to Fit In. Most of us inherently strive to fit in. Social norms, or other people’s attitudes and behaviors, heavily influence our own attitudes and behaviors. Each time a new online community or group forms, it creates its own set of social norms and expectations for how people should behave. Most people are willing to change their attitudes and/or behavior to fit these group norms and fit in with the community.
The Need for Self-Worth. When people feel good about themselves, they are more open to change and feel empowered to be able to change their behavior. When an online community is designed to have people support and care for each other, they can help to increase self-esteem.
The Need to Be Rewarded for Good Behavior. Anyone who has trained a puppy knows that you can get him to keep sitting as long as you keep the treats flowing to reward him, but if you want to wean him off the treats and really train him then you’ll need to begin spacing out the treats to make them less predictable. Well, people aren’t that different from animals in that way and can be trained with reinforcements too. For example, “liking” people’s communications when they immediately join a network, and then progressively spacing out the time that their posts are liked (psychologists call this variable reinforcement) can be incorporated onto social network platforms to encourage them to keep posting content. Eventually, these behaviors become habits.
The Need to Feel Empowered. While increasing self-esteem makes people feel good about themselves, increasing empowerment helps them know they have the ability to change. Creating a sense of empowerment is one of the most powerful predictors of whether people will change their behavior. Belonging to a network of people who are changing their own behaviors, support our needs, and are confident in our changing our behavior empowers us and gives us the ability to change our behavior.”
Mobile phone data are a treasure-trove for development
Paul van der Boor and Amy Wesolowski in SciDevNet: “Each of us generates streams of digital information — a digital ‘exhaust trail’ that provides real-time information to guide decisions that affect our lives. For example, Google informs us about traffic by using both its ‘My Location’ feature on mobile phones and third-party databases to aggregate location data. BBVA, one of Spain’s largest banks, analyses transactions such as credit card payments as well as ATM withdrawals to find out when and where peak spending occurs.This type of data harvest is of great value. But, often, there is so much data that its owners lack the know-how to process it and fail to realise its potential value to policymakers.
Meanwhile, many countries, particularly in the developing world, have a dearth of information. In resource-poor nations, the public sector often lives in an analogue world where piles of paper impede operations and policymakers are hindered by uncertainty about their own strengths and capabilities.Nonetheless, mobile phones have quickly pervaded the lives of even the poorest: 75 per cent of the world’s 5.5 billion mobile subscriptions are in emerging markets. These people are also generating digital trails of anything from their movements to mobile phone top-up patterns. It may seem that putting this information to use would take vast analytical capacity. But using relatively simple methods, researchers can analyse existing mobile phone data, especially in poor countries, to improve decision-making.
Think of existing, available data as low-hanging fruit that we — two graduate students — could analyse in less than a month. This is not a test of data-scientist prowess, but more a way of saying that anyone could do it.
There are three areas that should be ‘low-hanging fruit’ in terms of their potential to dramatically improve decision-making in information-poor countries: coupling healthcare data with mobile phone data to predict disease outbreaks; using mobile phone money transactions and top-up data to assess economic growth; and predicting travel patterns after a natural disaster using historical movement patterns from mobile phone data to design robust response programmes.
Another possibility is using call-data records to analyse urban movement to identify traffic congestion points. Nationally, this can be used to prioritise infrastructure projects such as road expansion and bridge building.
The information that these analyses could provide would be lifesaving — not just informative or revenue-increasing, like much of this work currently performed in developed countries.
But some work of high social value is being done. For example, different teams of European and US researchers are trying to estimate the links between mobile phone use and regional economic development. They are using various techniques, such as merging night-time satellite imagery from NASA with mobile phone data to create behavioural fingerprints. They have found that this may be a cost-effective way to understand a country’s economic activity and, potentially, guide government spending.
Another example is given by researchers (including one of this article’s authors) who have analysed call-data records from subscribers in Kenya to understand malaria transmission within the country and design better strategies for its elimination. [1]
In this study, published in Science, the location data of the mobile phones of more than 14 million Kenyan subscribers was combined with national malaria prevalence data. After identifying the sources and sinks of malaria parasites and overlaying these with phone movements, analysis was used to identify likely transmission corridors. UK scientists later used similar methods to create different epidemic scenarios for the Côte d’Ivoire.”
Embracing Expertise
It concerns and bothers me that most technologists are male and white but I am not concerned, in fact I am quite thrilled, these experts are taking political charge. I tend to agree with Michael Shudson’s reading of Walter Lippman that when it comes to democracy we need more experts not less: “The intellectual challenge is not to invent democracy without experts, but to seek a way to harness experts to a legitimately democratic function.”
Imagine if as many doctors and professors mobilized their moral authority and expertise as hackers have done, to rise up and intervene in the problems plaguing their vocational domains. Professors would be visibly denouncing the dismal and outrageous labor conditions of adjuncts whose pay is a pittance. Doctors would be involved in the fight for more affordable health care in the United States. Mobilizing expertise does not mean other stakeholders can’t and should not have a voice but there are many practical and moral reasons why we should embrace a politics of expertise, especially if configured to allow more generally contributions.
More than any other group of experts, hackers have shown how productive an expert based politics can be. And many domains of hacker and geek politics such as the Pirate Parties and Anonymous are interesting precisely for how they marry an open participatory element along with a more technical, expert-based one. Expertise can co-exist with participation if configured as such.
My sense is that hacker (re: technically informed) based politics will grow more important in years to come. Just last week I went to visit one hacker-activist, Jeremy Hammond who is in jail for his politically motivated acts of direct action. I asked him what he thought of Edward Snowden’s revelations about the NSA’s blanket surveillance of American citizens. Along with saying he was encouraged for someone dared to expose this wrongdoing (as many of us are), he captured the enormous power held by hackers and technologists when he followed with this statement: “there are all these nerds who don’t agree with what is politically happening and they have power.”
Hammond and others are exercising their technical power and I generally think this is a net gain for democracy. But it is why we must diligently work toward establishing more widespread digital and technical literacy. The low numbers of female technologists and other minorities in and out of hacker-dom are appalling and disturbing (and why I am involved with initiatives like those of NCWIT to rectify this problem). There are certainly barriers internal to the hacker world but the problems are so entrenched and so systematic unless those are solved, the numbers of women in voluntary and political domains will continue to be low.
So it is not that expertise is the problem. It is the barriers that prevent a large class of individuals from ever becoming experts that concerns me the most”.
Civics for a Digital Age
Jathan Sadowski in the Atlantic on “Eleven principles for relating to cities that are automated and smart: Over half of the world’s population lives in urban environments, and that number is rapidly growing according to the World Health Organization. Many of us interact with the physical environments of cities on a daily basis: the arteries that move traffic, the grids that energize our lives, the buildings that prevent and direct actions. For many tech companies, though, much of this urban infrastructure is ripe for a digital injection. Cities have been “dumb” for millennia. It’s about time they get “smart” — or so the story goes….
Before accepting the techno-hype as a fait accompli, we should consider the implications such widespread technological changes might have on society, politics, and life in general. Urban scholar and historian Lewis Mumford warned of “megamachines” where people become mere components — like gears and transistors — in a hierarchical, human machine. The proliferation of smart projects requires an updated way of thinking about their possibilities, complications, and effects.
A new book, Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, by Anthony Townsend, a research director at the Institute for the Future, provides some groundwork for understanding how these urban projects are occurring and what guiding principles we might use in directing their development. Townsend sets out to sketch a new understanding of “civics,” one that will account for new technologies.
The foundation for his theory speaks to common, worthwhile concerns: “Until now, smart-city visions have been controlling us. What we need is a new social code to bring meaning and to exert control over the technological code of urban operating systems.” It’s easy to feel like technologies — especially urban ones that are, at once, ubiquitous and often unseen to city-dwellers — have undue influence over our lives. Townsend’s civics, which is based on eleven principles, looks to address, prevent, and reverse that techno-power.”
Cyberpsychology and New Media
A thematic reader, edited by Andrew Power, Grainne Kirwan: “Cyberpsychology is the study of human interactions with the internet, mobile computing and telephony, games consoles, virtual reality, artificial intelligence, and other contemporary electronic technologies. The field has grown substantially over the past few years and this book surveys how researchers are tackling the impact of new technology on human behaviour and how people interact with this technology.
(Appropriate) Big Data for Climate Resilience?
Amy Luers at the Stanford Social Innovation Review: “The answer to whether big data can help communities build resilience to climate change is yes—there are huge opportunities, but there are also risks.
Opportunities
- Feedback: Strong negative feedback is core to resilience. A simple example is our body’s response to heat stress—sweating, which is a natural feedback to cool down our body. In social systems, feedbacks are also critical for maintaining functions under stress. For example, communication by affected communities after a hurricane provides feedback for how and where organizations and individuals can provide help. While this kind of feedback used to rely completely on traditional communication channels, now crowdsourcing and data mining projects, such as Ushahidi and Twitter Earthquake detector, enable faster and more-targeted relief.
- Diversity: Big data is enhancing diversity in a number of ways. Consider public health systems. Health officials are increasingly relying on digital detection methods, such as Google Flu Trends or Flu Near You, to augment and diversify traditional disease surveillance.
- Self-Organization: A central characteristic of resilient communities is the ability to self-organize. This characteristic must exist within a community (see the National Research Council Resilience Report), not something you can impose on it. However, social media and related data-mining tools (InfoAmazonia, Healthmap) can enhance situational awareness and facilitate collective action by helping people identify others with common interests, communicate with them, and coordinate efforts.
Risks
- Eroding trust: Trust is well established as a core feature of community resilience. Yet the NSA PRISM escapade made it clear that big data projects are raising privacy concerns and possibly eroding trust. And it is not just an issue in government. For example, Target analyzes shopping patterns and can fairly accurately guess if someone in your family is pregnant (which is awkward if they know your daughter is pregnant before you do). When our trust in government, business, and communities weakens, it can decrease a society’s resilience to climate stress.
- Mistaking correlation for causation: Data mining seeks meaning in patterns that are completely independent of theory (suggesting to some that theory is dead). This approach can lead to erroneous conclusions when correlation is mistakenly taken for causation. For example, one study demonstrated that data mining techniques could show a strong (however spurious) correlation between the changes in the S&P 500 stock index and butter production in Bangladesh. While interesting, a decision support system based on this correlation would likely prove misleading.
- Failing to see the big picture: One of the biggest challenges with big data mining for building climate resilience is its overemphasis on the hyper-local and hyper-now. While this hyper-local, hyper-now information may be critical for business decisions, without a broader understanding of the longer-term and more-systemic dynamism of social and biophysical systems, big data provides no ability to understand future trends or anticipate vulnerabilities. We must not let our obsession with the here and now divert us from slower-changing variables such as declining groundwater, loss of biodiversity, and melting ice caps—all of which may silently define our future. A related challenge is the fact that big data mining tends to overlook the most vulnerable populations. We must not let the lure of the big data microscope on the “well-to-do” populations of the world make us blind to the less well of populations within cities and communities that have more limited access to smart phones and the Internet.”