Four Threats to American Democracy


Jared Diamond in Governance: “The U.S. government has spent the last two years wrestling with a series of crises over the federal budget and debt ceiling. I do not deny that our national debt and the prospect of a government shutdown pose real problems. But they are not our fundamental problems, although they are symptoms of them. Instead, our fundamental problems are four interconnected issues combining to threaten a breakdown of effective democratic government in the United States.
Why should we care? Let’s remind ourselves of the oft-forgotten reasons why democracy is a superior form of government (provided that it works), and hence why its deterioration is very worrisome. (Of course, I acknowledge that there are many countries in which democracy does not work, because of the lack of a national identity, of an informed electorate, or of both). The advantages of democracy include the following:

  • In a democracy, one can propose and discuss virtually any idea, even if it is initially unpalatable to the government. Debate may reveal the idea to be the best solution, whereas in a dictatorship the idea would not have gotten debated, and its virtues would not have been discovered.
  • In a democracy, citizens and their ideas get heard. Hence, without democracy, people are more likely to feel unheard and frustrated and to resort to violence.
  • Compromise is essential to a democracy. It enables us to avoid tyranny by the majority or (conversely) paralysis of government through vetoes exercised by a frustrated minority.
  • In modern democracies, all citizens can vote. Hence, government is motivated to invest in all citizens, who thereby receive the opportunity to become productive, rather than just a small dictatorial elite receiving that opportunity.

Why should we Americans keep reminding ourselves of those fundamental advantages of democracies? I would answer: not only in order to motivate ourselves to defend our democratic processes, but also because increasing numbers of Americans today are falling into the trap of envying the supposed efficiency of China’s dictatorship. Yes, it is true that dictatorships, by closing debate, can sometimes implement good policies faster than can the United States, as has China in quickly converting to lead-free gasoline and building a high-speed rail network. But dictatorships suffer from a fatal disadvantage. No one, in the 5,400 years of history of centralized government on all the continents, has figured out how to ensure that a dictatorship will embrace only good policies. Dictatorships also prevent the public debate that helps to avert catastrophic policies unparalleled in any large modern First World democracy—such as China’s quickly abolishing its educational system, sending its teachers out into the fields, and creating the world’s worst air pollution.
That is why democracy, given the prerequisites of an informed electorate and a basic sense of common interest, is the best form of government—at least, better than all the alternatives that have been tried, as Winston Churchill quipped. Our form of government is a big part of the explanation why the United States has become the richest and most powerful country in the world. Hence, an undermining of democratic processes in the United States means throwing away one of our biggest advantages. Unfortunately, that is what we are now doing, in four ways.
First, political compromise has been deteriorating in recent decades, and especially in the last five years. That deterioration can be measured as the increase in Senate rejections of presidential nominees whose approvals used to be routine, the increasing use of filibusters by the minority party, the majority party’s response of abolishing filibusters for certain types of votes, and the decline in number of laws passed by Congress to the lowest level of recent history. The reasons for this breakdown in political compromise, which seems to parallel increasing levels of nastiness in other areas of American life, remain debated. Explanations offered include the growth of television and then of the Internet, replacing face-to-face communication, and the growth of many narrowly partisan TV channels at the expense of a few broad-public channels. Even if these reasons hold a germ of truth, they leave open the question why these same trends operating in Canada and in Europe have not led to similar deterioration of political compromise in those countries as well.
Second, there are increasing restrictions on the right to vote, weighing disproportionately on voters for one party and implemented at the state level by the other party. Those obstacles include making registration to vote difficult and demanding that registered voters show documentation of citizenship when they present themselves at the polls. Of course, the United States has had a long history of denying voting rights to blacks, women, and other groups. But access to voting had been increasing in the last 50 years, so the recent proliferation of restrictions reverses that long positive trend. In addition to those obstacles preventing voter registration, the United States has by far the lowest election turnout among large First World democracies: under 60% of registered voters in most presidential elections, 40% for congressional elections, and 20% for the recent election for mayor of my city of Los Angeles. (A source of numbers for this and other comparisons that I shall cite is an excellent recent book by Howard Steven Friedman, The Measure of a Nation). And, while we are talking about elections, let’s not forget the astronomical recent increase in costs and durations of election campaigns, their funding by wealthy interests, and the shift in campaign pitches to sound bites. Those trends, unparalled in other large First World democracies, undermine the democratic prerequisite of a well-informed electorate.
A third contributor to the growing breakdown of democracy is our growing gap between rich and poor. Among our most cherished core values is our belief that the United States is a “land of opportunity,” and that we uniquely offer to our citizens the potential for rising from “rags to riches”—provided that citizens have the necessary ability and work hard. This is a myth. Income and wealth disparity in the United States (as measured by the Gini index of equality/inequality, and in other ways) is much higher in the United States than in any other large First World democracy. So is hereditary socioeconomic immobility, that is, the probability that a son’s relative income will just mirror his father’s relative income, and that sons of poor fathers will not become wealthy. Part of the reason for those depressing facts is inequality of educational opportunities. Children of rich Americans tend to receive much better educations than children of poor Americans.
That is bad for our economy, because it means that we are failing to develop a large fraction of our intellectual capital. It is also bad for our political stability, because poor parents who correctly perceive that their children are not being given the opportunity to succeed may express their resulting frustration in violence. Twice during my 47 years of residence in Los Angeles, in 1964 and 1993, frustration in poor areas of Los Angeles erupted into violence, lootings, and killings. In the 1993 riots, when police feared that rioters would spill into the wealthy suburb of Beverly Hills, all that the outnumbered police could do to protect Beverly Hills was to string yellow plastic police tape across major streets. As it turned out, the rioters did not try to invade Beverly Hills in 1993. But if present trends causing frustration continue, there will be more riots in Los Angeles and other American cities, and yellow plastic police tape will not suffice to contain the rioters.
The remaining contributor to the decline of American democracy is the decline of government investment in public purposes, such as education, infrastructure, and nonmilitary research and development. Large segments of the American populace deride government investment as “socialism.” But it is not socialism. On the contrary, it is one of the longest established functions of government. Ever since the rise of the first governments 5,400 years ago, governments have served two main functions: to maintain internal peace by monopolizing force, settling disputes, and forbidding citizens to resort to violence in order to settle disputes themselves; and to redistribute individual wealth for investing in larger aims—in the worst cases, enriching the elite; in the best cases, promoting the good of society as a whole. Of course, some investment is private, by wealthy individuals and companies expecting to profit from their investments. But many potential payoffs cannot attract private investment, either because the payoff is so far off in the future (such as the payoff from universal primary school education), or because the payoff is diffused over all of society rather than concentrated in areas profitable to the private investor (such as diffused benefits of municipal fire departments, roads, and broad education). Even the most passionate American supporters of small government do not decry as socialism the funding of fire departments, interstate highways, and public schools.

Mindless – Why Smarter Machines are Making Dumber Humans


New book by Simon Head: “The tools of corporate efficiency—expert systems, databases, and operations management—have improved our lives significantly, but with a cost: they’re turning us into mindless drones.
We live in the age of Computer Business Systems (CBSs)—the highly complex, computer-intensive management programs on which large organizations increasingly rely. In Mindless, Simon Head argues that these systems have come to trump human expertise, dictating the goals and strategies of a wide array of businesses, and de-skilling the jobs of middle class workers in the process. CBSs are especially dysfunctional, Head argues, when they apply their disembodied expertise to transactions between humans, as in health care, education, customer relations, and human resources management. And yet there are industries with more human approaches, as Head illustrates with specific examples, whose lead we must follow and extend to the mainstream American economy.
Mindless illustrates the shortcomings of CBS, providing an in-depth and disturbing look at how human dignity is slipping as we become cogs on a white collar assembly line.”

The newsonomics of measuring the real impact of news


Ken Doctor at Nieman Journalism Lab: “Hello there! It’s me, your friendly neighborhood Tweet Button. What if you could tap me and unlock a brand new source of funding for startup news sources of all kinds? What if, even better, you the reader could tap that money loose with a single click?
That’s the delightfully simple conceit behind a little widget, Impaq.me, you may have seen popping up as you traverse the news web. It’s social. It’s viral. It uses OPM (Other People’s Money) — and maybe a little bit of your own. It makes a new case to funders and maybe commercial sponsors. And it spits out metrics around the clock. It aims to be a convergence widget, acting on that now-aging idea that our attention is as important as our wallet. Consider it a new digital Swiss Army knife for the attention economy. TWEET
It’s impossible to tell how much of an impact Impaq.me may have. It’s still in its second round of testing at six of the U.S.’s most successful independent nonprofit startups — MinnPost, Center for Investigative Reporting, The Texas Tribune, Voice of San Diego, ProPublica, and the Center for Public Integrity — but as in all things digital, timing is everything. And that timing seems right.
First, let’s consider that spate of new news sites that have sprouted with the winter rains — Bill Keller’s and Neil Barsky’s Marshall Project being only the latest. It’s been quite a run — from Ezra Klein’s Project X to Pierre Omidyar’s First Look (and just launched The Intercept) to the reimagining of FiveThirtyEight. While they encompass a broad range of business models and goals (“The newsonomics of why everyone seems to be starting a news site”), they all need two things: money and engagement. Or, maybe better ordered, engagement and money. The dance between the two is still in the early stages of Internet choreography. Get the sequences right and you win.
Second, and related, is the big question of “social” and how our sharing of news is changing the old publishing dynamic of editors deciding what we’re going to read. Just this week, two pieces here at the Lab — one on Upworthy’s influence and one on the social/search tango — highlighted the still-being-understood role of social in our news-reading lives.
Third, funders of news sites, especially Knight and other lead foundations, are looking for harder evidence of the value generated by their early grants. Millions have been poured into creating new news sites. Now they’re asking: What has our funding really done? Within that big question, Impaq.me is only one of several new attempts to demonstrably measure real impact in new ways. We’ll take a brief look at those impact initiatives below….
If Impaq.me is all about impact and money, then it’s got good company. There are at least two other noteworthy impact-measuring projects going on.

  • The Center for Investigative Reporting’s Impact Tracker effort impact-tracking initiative launched last fall. The big idea: getting beyond the traditional metrics like unique visitors and pageviews to track the value of investigative and enterprise work. To that end, CIR has hired Lindsay Green-Barber, a CUNY-trained social scientist, and given her a perhaps first-ever title: media impact analyst.We can see the fruits of the work around CIR’s impressive Returning Home to Battle veterans series. On that series, CIR is tracking such impacts as change and rise in the public discourse around veterans’ issues and related allocation of government resources. The notion of good journalism intended to shine a light in dark places has been embedded in the CIR DNA for a long time; this new effort is intended to provide data — and words — to describe progress toward solutions. CIR is working with The Seattle Times on the impact of that paper’s education reporting, and CIR may soon look at more partnerships as well. Related: CIR is holding two “Dissection” events in New York and Washington in April, bringing together journalists, funders, and social scientists to widen the media impact movement.
  • Chalkbeat, a growing national education news site, too, is moving on impact analysis. It’s called MORI (Measures of our Reporting’s Influence), and it’s a WordPress plugin. Says Chalkbeat cofounder Elizabeth Green: “We built MORI to solve for a problem that I guess you could call ‘impact loss.’ We knew that our stories were having all kinds of impacts, but we had no way of keeping track of these impacts or making sense of them. That meant that we couldn’t easily compile what we had done in the last year to share with the outside world (board, donors, foundations, readers, our moms) but also — just as important — we couldn’t look back on what we’d done and learn from it.”Sound familiar?
    After much inquiry, Chalkbeat settled on technology. “Within each story’s back end,” Green said, “we can enter inputs — qualitative data about the type of story, topic, and target audience — as well as outcomes — impacts on policy and practice (what we call ‘informed action’) as well as impacts on what we call ‘civic deliberation.’”

Open Data (Updated and Expanded)


As part of an ongoing effort to build a knowledge base for the field of opening governance by organizing and disseminating its learnings, the GovLab Selected Readings series provides an annotated and curated collection of recommended works on key opening governance topics. We start our series with a focus on Open Data. To suggest additional readings on this or any other topic, please email [email protected].

Data and its uses for GovernanceOpen data refers to data that is publicly available for anyone to use and which is licensed in a way that allows for its re-use. The common requirement that open data be machine-readable not only means that data is distributed via the Internet in a digitized form, but can also be processed by computers through automation, ensuring both wide dissemination and ease of re-use. Much of the focus of the open data advocacy community is on government data and government-supported research data. For example, in May 2013, the US Open Data Policy defined open data as publicly available data structured in a way that enables the data to be fully discoverable and usable by end users, and consistent with a number of principles focused on availability, accessibility and reusability.

Selected Reading List (in alphabetical order)

Annotated Selected Reading List (in alphabetical order)
Fox, Mark S. “City Data: Big, Open and Linked.” Working Paper, Enterprise Integration Laboratory (2013). http://bit.ly/1bFr7oL.

  • This paper examines concepts that underlie Big City Data using data from multiple cities as examples. It begins by explaining the concepts of Open, Unified, Linked, and Grounded data, which are central to the Semantic Web. Fox then explore Big Data as an extension of Data Analytics, and provide case examples of good data analytics in cities.
  • Fox concludes that we can develop the tools that will enable anyone to analyze data, both big and small, by adopting the principles of the Semantic Web:
    • Data being openly available over the internet,
    • Data being unifiable using common vocabularies,
    • Data being linkable using International Resource Identifiers,
    • Data being accessible using a common data structure, namely triples,
    • Data being semantically grounded using Ontologies.

Foulonneau, Muriel, Sébastien Martin, and Slim Turki. “How Open Data Are Turned into Services?” In Exploring Services Science, edited by Mehdi Snene and Michel Leonard, 31–39. Lecture Notes in Business Information Processing 169. Springer International Publishing, 2014. http://bit.ly/1fltUmR.

  • In this chapter, the authors argue that, considering the important role the development of new services plays as a motivation for open data policies, the impact of new services created through open data should play a more central role in evaluating the success of open data initiatives.
  • Foulonneau, Martin and Turki argue that the following metrics should be considered when evaluating the success of open data initiatives: “the usage, audience, and uniqueness of the services, according to the changes it has entailed in the public institutions that have open their data…the business opportunity it has created, the citizen perception of the city…the modification to particular markets it has entailed…the sustainability of the services created, or even the new dialog created with citizens.”

Goldstein, Brett, and Lauren Dyson. Beyond Transparency: Open Data and the Future of Civic Innovation. 1 edition. (Code for America Press: 2013). http://bit.ly/15OAxgF

  • This “cross-disciplinary survey of the open data landscape” features stories from practitioners in the open data space — including Michael Flowers, Brett Goldstein, Emer Colmeman and many others — discussing what they’ve accomplished with open civic data. The book “seeks to move beyond the rhetoric of transparency for transparency’s sake and towards action and problem solving.”
  • The book’s editors seek to accomplish the following objectives:
    • Help local governments learn how to start an open data program
    • Spark discussion on where open data will go next
    • Help community members outside of government better engage with the process of governance
    • Lend a voice to many aspects of the open data community.
  • The book is broken into five sections: Opening Government Data, Building on Open Data, Understanding Open Data, Driving Decisions with Data and Looking Ahead.

Granickas, Karolis. “Understanding the Impact of Releasing and Re-using Open Government Data.” European Public Sector Information Platform, ePSIplatform Topic Report No. 2013/08, (2013). http://bit.ly/GU0Nx4.

  • This paper examines the impact of open government data by exploring the latest research in the field, with an eye toward enabling  an environment for open data, as well as identifying the benefits of open government data and its political, social, and economic impacts.
  • Granickas concludes that to maximize the benefits of open government data: a) further research is required that structure and measure potential benefits of open government data; b) “government should pay more attention to creating feedback mechanisms between policy implementers, data providers and data-re-users”; c) “finding a balance between demand and supply requires mechanisms of shaping demand from data re-users and also demonstration of data inventory that governments possess”; and lastly, d) “open data policies require regular monitoring.”

Gurin, Joel. Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation, (New York: McGraw-Hill, 2014). http://amzn.to/1flubWR.

  • In this book, GovLab Senior Advisor and Open Data 500 director Joel Gurin explores the broad realized and potential benefit of Open Data, and how, “unlike Big Data, Open Data is transparent, accessible, and reusable in ways that give it the power to transform business, government, and society.”
  • The book provides “an essential guide to understanding all kinds of open databases – business, government, science, technology, retail, social media, and more – and using those resources to your best advantage.”
  • In particular, Gurin discusses a number of applications of Open Data with very real potential benefits:
    • “Hot Startups: turn government data into profitable ventures;
    • Savvy Marketing: understanding how reputational data drives your brand;
    • Data-Driven Investing: apply new tools for business analysis;
    • Consumer Information: connect with your customers using smart disclosure;
    • Green Business: use data to bet on sustainable companies;
    • Fast R&D: turn the online world into your research lab;
    • New Opportunities: explore open fields for new businesses.”

Jetzek, Thorhildur, Michel Avital, and Niels Bjørn-Andersen. “Generating Value from Open Government Data.” Thirty Fourth International Conference on Information Systems, 5. General IS Topics 2013. http://bit.ly/1gCbQqL.

  • In this paper, the authors “developed a conceptual model portraying how data as a resource can be transformed to value.”
  • Jetzek, Avital and Bjørn-Andersen propose a conceptual model featuring four Enabling Factors (openness, resource governance, capabilities and technical connectivity) acting on four Value Generating Mechanisms (efficiency, innovation, transparency and participation) leading to the impacts of Economic and Social Value.
  • The authors argue that their research supports that “all four of the identified mechanisms positively influence value, reflected in the level of education, health and wellbeing, as well as the monetary value of GDP and environmental factors.”

Kassen, Maxat. “A promising phenomenon of open data: A case study of the Chicago open data project.Government Information Quarterly (2013). http://bit.ly/1ewIZnk.

  • This paper uses the Chicago open data project to explore the “empowering potential of an open data phenomenon at the local level as a platform useful for promotion of civic engagement projects and provide a framework for future research and hypothesis testing.”
  • Kassen argues that “open data-driven projects offer a new platform for proactive civic engagement” wherein governments can harness “the collective wisdom of the local communities, their knowledge and visions of the local challenges, governments could react and meet citizens’ needs in a more productive and cost-efficient manner.”
  • The paper highlights the need for independent IT developers to network in order for this trend to continue, as well as the importance of the private sector in “overall diffusion of the open data concept.”

Keen, Justin, Radu Calinescu, Richard Paige, John Rooksby. “Big data + politics = open data: The case of health care data in England.Policy and Internet 5 (2), (2013): 228–243. http://bit.ly/1i231WS.

  • This paper examines the assumptions regarding open datasets, technological infrastructure and access, using healthcare systems as a case study.
  • The authors specifically address two assumptions surrounding enthusiasm about Big Data in healthcare: the assumption that healthcare datasets and technological infrastructure are up to task, and the assumption of access to this data from outside the healthcare system.
  • By using the National Health Service in England as an example, the authors identify data, technology, and information governance challenges. They argue that “public acceptability of third party access to detailed health care datasets is, at best, unclear,” and that the prospects of Open Data depend on Open Data policies, which are inherently political, and the government’s assertion of property rights over large datasets. Thus, they argue that the “success or failure of Open Data in the NHS may turn on the question of trust in institutions.”

Kulk, Stefan and Bastiaan Van Loenen. “Brave New Open Data World?International Journal of Spatial Data Infrastructures Research, May 14, 2012. http://bit.ly/15OAUYR.

  • This paper examines the evolving tension between the open data movement and the European Union’s privacy regulations, especially the Data Protection Directive.
  • The authors argue, “Technological developments and the increasing amount of publicly available data are…blurring the lines between non-personal and personal data. Open data may not seem to be personal data on first glance especially when it is anonymised or aggregated. However, it may become personal by combining it with other publicly available data or when it is de-anonymised.”

Kundra, Vivek. “Digital Fuel of the 21st Century: Innovation through Open Data and the Network Effect.” Joan Shorenstein Center on the Press, Politics and Public Policy, Harvard College: Discussion Paper Series, January 2012, http://hvrd.me/1fIwsjR.

  • In this paper, Vivek Kundra, the first Chief Information Officer of the United States, explores the growing impact of open data, and argues that, “In the information economy, data is power and we face a choice between democratizing it and holding on to it for an asymmetrical advantage.”
  • Kundra offers four specific recommendations to maximize the impact of open data: Citizens and NGOs must demand open data in order to fight government corruption, improve accountability and government services; Governments must enact legislation to change the default setting of government to open, transparent and participatory; The press must harness the power of the network effect through strategic partnerships and crowdsourcing to cut costs and provide better insights; and Venture capitalists should invest in startups focused on building companies based on public sector data.

Noveck, Beth Simone and Daniel L. Goroff. “Information for Impact: Liberating Nonprofit Sector Data.” The Aspen Institute Philanthropy & Social Innovation Publication Number 13-004. 2013. http://bit.ly/WDxd7p.

  • This report is focused on “obtaining better, more usable data about the nonprofit sector,” which encompasses, as of 2010, “1.5 million tax-exempt organizations in the United States with $1.51 trillion in revenues.”
  • Toward that goal, the authors propose liberating data from the Form 990, an Internal Revenue Service form that “gathers and publishes a large amount of information about tax-exempt organizations,” including information related to “governance, investments, and other factors not directly related to an organization’s tax calculations or qualifications for tax exemption.”
  • The authors recommend a two-track strategy: “Pursuing the longer-term goal of legislation that would mandate electronic filing to create open 990 data, and pursuing a shorter-term strategy of developing a third party platform that can demonstrate benefits more immediately.”

Robinson, David G., Harlan Yu, William P. Zeller, and Edward W. Felten, “Government Data and the Invisible Hand.” Yale Journal of Law & Technology 11 (2009), http://bit.ly/1c2aDLr.

  • This paper proposes a new approach to online government data that “leverages both the American tradition of entrepreneurial self-reliance and the remarkable low-cost flexibility of contemporary digital technology.”
  • “In order for public data to benefit from the same innovation and dynamism that characterize private parties’ use of the Internet, the federal government must reimagine its role as an information provider. Rather than struggling, as it currently does, to design sites that meet each end-user need, it should focus on creating a simple, reliable and publicly accessible infrastructure that ‘exposes’ the underlying data.”
Ubaldi, Barbara. “Open Government Data: Towards Empirical Analysis of Open Government Data Initiatives.” OECD Working Papers on Public Governance. Paris: Organisation for Economic Co-operation and Development, May 27, 2013. http://bit.ly/15OB6qP.

  • This working paper from the OECD seeks to provide an all-encompassing look at the principles, concepts and criteria framing open government data (OGD) initiatives.
  • Ubaldi also analyzes a variety of challenges to implementing OGD initiatives, including policy, technical, economic and financial, organizational, cultural and legal impediments.
  • The paper also proposes a methodological framework for evaluating OGD Initiatives in OECD countries, with the intention of eventually “developing a common set of metrics to consistently assess impact and value creation within and across countries.”

Worthy, Ben. “David Cameron’s Transparency Revolution? The Impact of Open Data in the UK.” SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, November 29, 2013. http://bit.ly/NIrN6y.

  • In this article, Worthy “examines the impact of the UK Government’s Transparency agenda, focusing on the publication of spending data at local government level. It measures the democratic impact in terms of creating transparency and accountability, public participation and everyday information.”
  • Worthy’s findings, based on surveys of local authorities, interviews and FOI requests, are disappointing. He finds that:
    • Open spending data has led to some government accountability, but largely from those already monitoring government, not regular citizens.
    • Open Data has not led to increased participation, “as it lacks the narrative or accountability instruments to fully bring such effects.”
    • It has also not “created a new stream of information to underpin citizen choice, though new innovations offer this possibility. The evidence points to third party innovations as the key.
  • Despite these initial findings, “Interviewees pointed out that Open Data holds tremendous opportunities for policy-making. Joined up data could significantly alter how policy is made and resources targeted. From small scale issues e.g. saving money through prescriptions to targeting homelessness or health resources, it can have a transformative impact. “

Zuiderwijk, Anneke, Marijn Janssen, Sunil Choenni, Ronald Meijer and Roexsana Sheikh Alibaks. “Socio-technical Impediments of Open Data.” Electronic Journal of e-Government 10, no. 2 (2012). http://bit.ly/17yf4pM.

  • This paper to seeks to identify the socio-technical impediments to open data impact based on a review of the open data literature, as well as workshops and interviews.
  • The authors discovered 118 impediments across ten categories: 1) availability and access; 2) find-ability; 3) usability; 4) understandability; 5) quality; 6) linking and combining data; 7) comparability and compatibility; 8) metadata; 9) interaction with the data provider; and 10) opening and uploading.

Zuiderwijk, Anneke and Marijn Janssen. “Open Data Policies, Their Implementation and Impact: A Framework for Comparison.” Government Information Quarterly 31, no. 1 (January 2014): 17–29. http://bit.ly/1bQVmYT.

  • In this article, Zuiderwijk and Janssen argue that “currently there is a multiplicity of open data policies at various levels of government, whereas very little systematic and structured research [being] done on the issues that are covered by open data policies, their intent and actual impact.”
  • With this evaluation deficit in mind, the authors propose a new framework for comparing open data policies at different government levels using the following elements for comparison:
    • Policy environment and context, such as level of government organization and policy objectives;
    • Policy content (input), such as types of data not publicized and technical standards;
    • Performance indicators (output), such as benefits and risks of publicized data; and
    • Public values (impact).

To stay current on recent writings and developments on Open Data, please subscribe to the GovLab Digest.
Did we miss anything? Please submit reading recommendations to [email protected] or in the comments below.

Innovating for the Global South: New book offers practical insights


Press Release: “Despite the vast wealth generated in the last half century, in today’s world inequality is worsening and poverty is becoming increasingly chronic. Hundreds of millions of people continue to live on less than $2 per day and lack basic human necessities such as nutritious food, shelter, clean water, primary health care, and education.
Innovating for the Global South: Towards an Inclusive Innovation Agenda, the latest book from Rotman-UTP Publishing and the first volume in the Munk Series on Global Affairs, offers fresh solutions for reducing poverty in the developing world. Highlighting the multidisciplinary expertise of the University of Toronto’s Global Innovation Group, leading experts from the fields of engineering, public health, medicine, management, and public policy examine the causes and consequences of endemic poverty and the challenges of mitigating its effects from the perspective of the world’s poorest of the poor.
Can we imagine ways to generate solar energy to run essential medical equipment in the countryside? Can we adapt information and communication technologies to provide up-to-the-minute agricultural market prices for remote farming villages? How do we create more inclusive innovation processes to hear the voices of those living in urban slums? Is it possible to reinvent a low-cost toilet that operates beyond the water and electricity grids?
Motivated by the imperatives of developing, delivering, and harnessing innovation in the developing world, Innovating for the Global South is essential reading for managers, practitioners, and scholars of development, business, and policy.
“As we see it, Innovating for the Global South is fundamentally about innovating scalable solutions that mitigate the effects of poverty and underdevelopment in the Global South. It is not about inventing some new gizmo for some untapped market in the developing world,” say Profs. Dilip Soman and Joseph Wong of the UofT, who are two of the editors of the volume.
The book is edited and also features contributions by three leading UofT thinkers who are tackling innovation in the global south from three different academic perspectives.

  • Dilip Soman is Corus Chair in Communication Strategy and a professor of Marketing at the Rotman School of Management.
  • Janice Gross Stein is the Belzberg Professor of Conflict Management in the Department of Political Science and Director of the Munk School of Global Affairs.
  • Joseph Wong is Ralph and Roz Halbert Professor of Innovation at the Munk School of Global Affairs and Canada Research Chair in Democratization, Health, and Development in the Department of Political Science.

The chapters in the book address the process of innovation from a number of vantage points.
Introduction: Rethinking Innovation – Joseph Wong and Dilip Soman
Chapter 1: Poverty, Invisibility, and Innovation – Joseph Wong
Chapter 2: Behaviourally Informed Innovation – Dilip Soman
Chapter 3: Appropriate Technologies for the Global South – Yu-Ling Cheng (University of Toronto, Chemical Engineering and Applied Chemistry) and Beverly Bradley (University of Toronto, Centre for Global Engineering)
Chapter 4: Globalization of Biopharmaceutical Innovation: Implications for Poor-Market Diseases – Rahim Rezaie (University of Toronto, Munk School of Global Affairs, Research Fellow)
Chapter 5: Embedded Innovation in Health – Anita M. McGahan (University of Toronto, Rotman School of Management, Associate Dean of Research), Rahim Rezaie and Donald C. Cole (University of Toronto, Dalla Lana School of Public Health)
Chapter 6: Scaling Up: The Case of Nutritional Interventions in the Global South – Ashley Aimone Phillips (Registered Dietitian), Nandita Perumal (University of Toronto, Doctoral Fellow, Epidemiology), Carmen Ho (University of Toronto, Doctoral Fellow, Political Science), and Stanley Zlotkin (University of Toronto and the Hospital for Sick Children,Paediatrics, Public Health Sciences and Nutritional Sciences)
Chapter 7: New Models for Financing Innovative Technologies and Entrepreneurial Organizations in the Global South – Murray R. Metcalfe (University of Toronto, Centre for Global Engineering, Globalization)
Chapter 8: Innovation and Foreign Policy – Janice Gross Stein
Conclusion: Inclusive Innovation – Will Mitchell (University of Toronto, Rotman School of Management, Strategic Management), Anita M. McGahan”

We need a new Bismarck to tame the machines


Michael Ignatieff in the Financial Times: “A question haunting democratic politics everywhere is whether elected governments can control the cyclone of technological change sweeping through their societies. Democracy comes under threat if technological disruption means that public policy no longer has any leverage on job creation. Democracy is also in danger if digital technologies give states powers of total surveillance.

If, in the words of Google chairman Eric Schmidt, there is a “race between people and computers” even he suspects people may not win, democrats everywhere should be worried. In the same vein, Lawrence Summers, former Treasury secretary, recently noted that new technology could be liberating but that the government needed to soften its negative effects and make sure the benefits were distributed fairly. The problem, he went on, was that “we don’t yet have the Gladstone, the Teddy Roosevelt or the Bismarck of the technology era”.

These Victorian giants have much to teach us. They were at the helm when their societies were transformed by the telegraph, the electric light, the telephone and the combustion engine. Each tried to soften the blow of change, and to equalise the benefits of prosperity for working people. With William Gladstone it was universal primary education and the vote for Britain’s working men. With Otto von Bismarck it was legislation that insured German workers against ill-health and old age. For Roosevelt it was the entire progressive agenda, from antitrust legislation and regulation of freight rates to the conservation of America’s public lands….

The Victorians created the modern state to tame the market in the name of democracy but they wanted a nightwatchman state, not a Leviathan. Thanks to the new digital technologies, the state they helped create now has powers of surveillance that threaten our privacy and freedom. What new technology makes possible, states will do. Keeping technology in the service of democracy will not be easy. Asking judges to guard the guards only bloats the state apparatus still further. Allowing dissident insiders to get away with leaking the state’s secrets will only result in more secretive, paranoid and controlling government.

The Victorians would have said there is a solution – representative government itself – but it requires citizens to trust their representatives to hold the government in check. The Victorians created modern, mass representative democracy so that collective public choice could control change for everyone’s benefit. They believed that representatives, if given the authority and the necessary information, could control the power that technology confers on the modern state.
This is still a viable ideal but we have plenty of rebuilding before our democratic institutions are ready for the task. Congress and parliament need to regain trust and capability; and, if they do, we can start recovering the faith of the Victorians we so sorely need: the belief that democracy can master the technologies that are transforming our lives.

Selected Readings on Behavioral Economics: Nudges


The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of behavioral economics was originally published in 2014.

The 2008 publication of Richard Thaler and Cass Sunstein’s Nudge ushered in a new era of behavioral economics, and since then, policy makers in the United States and elsewhere have been applying behavioral economics to the field of public policy. Like Smart Disclosure, behavioral economics can be used in the public sector to improve the decisionmaking ability of citizens without relying on regulatory interventions. In the six years since Nudge was published, the United Kingdom has created the Behavioural Insights Team (also known as the Nudge Unit), a cross-ministerial organization that uses behavioral economics to inform public policy, and the White House has recently followed suit by convening a team of behavioral economists to create a behavioral insights-driven team in the United States. Policymakers have been using behavioral insights to design more effective interventions in the fields of long term unemployment; roadway safety; enrollment in retirement plans; and increasing enrollment in organ donation registries, to name some noteworthy examples. The literature of this nascent field provides a look at the growing optimism in the potential of applying behavioral insights in the public sector to improve people’s lives.

Selected Reading List (in alphabetical order)

  • John Beshears, James Choi, David Laibson and Brigitte C. Madrian – The Importance of Default Options for Retirement Savings Outcomes: Evidence from the United States – a paper examining the role default options play in encouraging intelligent retirement savings decisionmaking.
  • Cabinet Office and Behavioural Insights Team, United Kingdom – Applying Behavioural Insights to Healtha paper outlining some examples of behavioral economics being applied to the healthcare landscape using cost-efficient interventions.
  • Matthew Darling, Saugato Datta and Sendhil Mullainathan – The Nature of the BEast: What Behavioral Economics Is Not – a paper discussing why control and behavioral economics are not as closely aligned as some think, reiterating the fact that the field is politically agnostic.
  • Antoinette Schoar and Saugato Datta – The Power of Heuristics – a paper exploring the concept of “heuristics,” or rules of thumb, which can provide helpful guidelines for pushing people toward making “reasonably good” decisions without a full understanding of the complexity of a situation.
  • Richard H. Thaler and Cass R. Sunstein – Nudge: Improving Decisions About Health, Wealth, and Happiness – an influential book describing the many ways in which the principles of behavioral economics can be and have been used to influence choices and behavior through the development of new “choice architectures.” 
  • U.K. Parliament Science and Technology Committee – Behaviour Changean exploration of the government’s attempts to influence the behaviour of its citizens through nudges, with a focus on comparing the effectiveness of nudges to that of regulatory interventions.

Annotated Selected Reading List (in alphabetical order)

Beshears, John, James Choi, David Laibson and Brigitte C. Madrian. “The Importance of Default Options for Retirement Savings Outcomes: Evidence from the United States.” In Jeffrey R. Brown, Jeffrey B. Liebman and David A. Wise, editors, Social Security Policy in a Changing Environment, Cambridge: National Bureau of Economic Research, 2009. http://bit.ly/LFmC5s.

  • This paper examines the role default options play in pushing people toward making intelligent decisions regarding long-term savings and retirement planning.
  • Importantly, the authors provide evidence that a strategically oriented default setting from the outset is likely not enough to fully nudge people toward the best possible decisions in retirement savings. They find that the default settings in every major dimension of the savings process (from deciding whether to participate in a 401(k) to how to withdraw money at retirement) have real and distinct effects on behavior.

Cabinet Office and Behavioural Insights Team, United Kingdom. “Applying Behavioural Insights to Health.” December 2010. http://bit.ly/1eFP16J.

  • In this report, the United Kingdom’s Behavioural Insights Team does not attempt to “suggest that behaviour change techniques are the silver bullet that can solve every problem.” Rather, they explore a variety of examples where local authorities, charities, government and the private-sector are using behavioural interventions to encourage healthier behaviors.  
  • The report features case studies regarding behavioral insights ability to affect the following public health issues:
    • Smoking
    • Organ donation
    • Teenage pregnancy
    • Alcohol
    • Diet and weight
    • Diabetes
    • Food hygiene
    • Physical activity
    • Social care
  • The report concludes with a call for more experimentation and knowledge gathering to determine when, where and how behavioural interventions can be most effective in helping the public become healthier.

Darling, Matthew, Saugato Datta and Sendhil Mullainathan. “The Nature of the BEast: What Behavioral Economics Is Not.” The Center for Global Development. October 2013. https://bit.ly/2QytRmf.

  • In this paper, Darling, Datta and Mullainathan outline the three most pervasive myths that abound within the literature about behavioral economics:
    • First, they dispel the relationship between control and behavioral economics.  Although tools used within behavioral economics can convince people to make certain choices, the goal is to nudge people to make the choices they want to make. For example, studies find that when retirement savings plans change the default to opt-in rather than opt-out, more workers set up 401K plans. This is an example of a nudge that guides people to make a choice that they already intend to make.
    • Second, they reiterate that the field is politically agnostic. Both liberals and conservatives have adopted behavioral economics and its approach is neither liberal nor conservative. President Obama embraces behavioral economics but the United Kingdom’s conservative party does, too.
    • And thirdly, the article highlights that irrationality actually has little to do with behavioral economics. Context is an important consideration when one considers what behavior is rational and what behavior is not. Rather than use the term “irrational” to describe human beings, the authors assert that humans are “infinitely complex” and behavior that is often considered irrational is entirely situational.

Schoar, Antoinette and Saugato Datta. “The Power of Heuristics.” Ideas42. January 2014. https://bit.ly/2UDC5YK.

  • This paper explores the notion that being presented with a bevy of options can be desirable in many situations, but when making an intelligent decision requires a high-level understanding of the nuances of vastly different financial aid packages, for example, options can overwhelm. Heuristics (rules of thumb) provide helpful guidelines that “enable people to make ‘reasonably good’ decisions without needing to understand all the complex nuances of the situation.”
  • The underlying goal heuristics in the policy space involves giving people the type of “rules of thumb” that enable make good decisionmaking regarding complex topics such as finance, healthcare and education. The authors point to the benefit of asking individuals to remember smaller pieces of knowledge by referencing a series of studies conducted by psychologists Beatty and Kahneman that showed people were better able to remember long strings of numbers when they were broken into smaller segments.
  • Schoar and Datta recommend these four rules when implementing heuristics:
    • Use heuristics where possible, particularly in complex situation;
    • Leverage new technology (such as text messages and Internet-based tools) to implement heuristics.
    • Determine where heuristics can be used in adult training programs and replace in-depth training programs with heuristics where possible; and
    • Consider how to apply heuristics in situations where the exception is the rule. The authors point to the example of savings and credit card debt. In most instances, saving a portion of one’s income is a good rule of thumb. However, when one has high credit card debt, paying off debt could be preferable to building one’s savings.

Thaler, Richard H. and Cass R. Sunstein. Nudge: Improving Decisions About Health, Wealth, and Happiness. Yale University Press, 2008. https://bit.ly/2kNXroe.

  • This book, likely the single piece of scholarship most responsible for bringing the concept of nudges into the public consciousness, explores how a strategic “choice architecture” can help people make the best decisions.
  • Thaler and Sunstein, while advocating for the wider and more targeted use of nudges to help improve people’s lives without resorting to overly paternal regulation, look to five common nudges for lessons and inspiration:
    • The design of menus gets you to eat (and spend) more;
    • “Flies” in urinals improve, well, aim;
    • Credit card minimum payments affect repayment schedules;
    • Automatic savings programs increase savings rate; and
    • “Defaults” can improve rates of organ donation.
  • In the simplest terms, the authors propose the wider deployment of choice architectures that follow “the golden rule of libertarian paternalism: offer nudges that are most likely to help and least likely to inflict harm.”

U.K. Parliament Science and Technology Committee. “Behaviour Change.” July 2011. http://bit.ly/1cbYv5j.

  • This report from the U.K.’s Science and Technology Committee explores the government’s attempts to influence the behavior of its citizens through nudges, with a focus on comparing the effectiveness of nudges to that of regulatory interventions.
  • The author’s central conclusion is that, “non-regulatory measures used in isolation, including ‘nudges,’ are less likely to be effective. Effective policies often use a range of interventions.”
  • The report’s other major findings and recommendations are:
    • Government must invest in gathering more evidence about what measures work to influence population behaviour change;
    • They should appoint an independent Chief Social Scientist to provide them with robust and independent scientific advice;
    • The Government should take steps to implement a traffic light system of nutritional labelling on all food packaging; and
    • Current voluntary agreements with businesses in relation to public health have major failings. They are not a proportionate response to the scale of the problem of obesity and do not reflect the evidence about what will work to reduce obesity. If effective agreements cannot be reached, or if they show minimal benefit, the Government should pursue regulation.”

It’s the Neoliberalism, Stupid: Why instrumentalist arguments for Open Access, Open Data, and Open Science are not enough.


Eric Kansa at LSE Blog: “…However, I’m increasingly convinced that advocating for openness in research (or government) isn’t nearly enough. There’s been too much of an instrumentalist justification for open data an open access. Many advocates talk about how it will cut costs and speed up research and innovation. They also argue that it will make research more “reproducible” and transparent so interpretations can be better vetted by the wider community. Advocates for openness, particularly in open government, also talk about the wonderful commercial opportunities that will come from freeing research…
These are all very big policy issues, but they need to be asked if the Open Movement really stands for reform and not just a further expansion and entrenchment of Neoliberalism. I’m using the term “Neoliberalism” because it resonates as a convenient label for describing how and why so many things seem to suck in Academia. Exploding student debt, vanishing job security, increasing compensation for top administrators, expanding bureaucracy and committee work, corporate management methodologies (Taylorism), and intensified competition for ever-shrinking public funding all fall under the general rubric of Neoliberalism. Neoliberal universities primarily serve the needs of commerce. They need to churn out technically skilled human resources (made desperate for any work by high loads of debt) and easily monetized technical advancements….
“Big Data,” “Data Science,” and “Open Data” are now hot topics at universities. Investments are flowing into dedicated centers and programs to establish institutional leadership in all things related to data. I welcome the new Data Science effort at UC Berkeley to explore how to make research data professionalism fit into the academic reward systems. That sounds great! But will these new data professionals have any real autonomy in shaping how they conduct their research and build their careers? Or will they simply be part of an expanding class of harried and contingent employees- hired and fired through the whims of creative destruction fueled by the latest corporate-academic hype-cycle?
Researchers, including #AltAcs and “data professionals”, need  a large measure of freedom. Miriam Posner’s discussion about the career and autonomy limits of Alt-academic-hood help highlight these issues. Unfortunately, there’s only one area where innovation and failure seem survivable, and that’s the world of the start-up. I’ve noticed how the “Entrepreneurial Spirit” gets celebrated lots in this space. I’m guilty of basking in it myself (10 years as a quasi-independent #altAc in a nonprofit I co-founded!).
But in the current Neoliberal setting, being an entrepreneur requires a singular focus on monetizing innovation. PeerJ and Figshare are nice, since they have business models that less “evil” than Elsevier’s. But we need to stop fooling ourselves that the only institutions and programs that we can and should sustain are the ones that can turn a profit. For every PeerJ or Figshare (and these are ultimately just as dependent on continued public financing of research as any grant-driven project), we also need more innovative organizations like the Internet Archive, wholly dedicated to the public good and not the relentless pressure to commoditize everything (especially their patrons’ privacy). We need to be much more critical about the kinds of programs, organizations, and financing strategies we (as a society) can support. I raised the political economy of sustainability issue at a recent ThatCamp and hope to see more discussion.
In reality so much of the Academy’s dysfunctions are driven by our new Gilded Age’s artificial scarcity of money. With wealth concentrated in so few hands, it is very hard to finance risk taking and entreprenurialism in the scholarly community, especially to finance any form of entrepreneurialism that does not turn a profit in a year or two.
Open Access and Open Data will make so much more of a difference if we had the same kind of dynamism in the academic and nonprofit sector as we have in the for-profit start-up sector. After all, Open Access and Open Data can be key enablers to allow much broader participation in research and education. However, broader participation still needs to be financed: you cannot eat an open access publication. We cannot gloss over this key issue.
We need more diverse institutional forms so that researchers can find (or found) the kinds of organizations that best channel their passions into contributions that enrich us all. We need more diverse sources of financing (new foundations, better financed Kickstarters) to connect innovative ideas with the capital needed to see them implemented. Such institutional reforms will make life in the research community much more livable, creative, and dynamic. It would give researchers more options for diverse and varied career trajectories (for-profit or not-for-profit) suited to their interests and contributions.
Making the case to reinvest in the public good will require a long, hard slog. It will be much harder than the campaign for Open Access and Open Data because it will mean contesting Neoliberal ideologies and constituencies that are deeply entrenched in our institutions. However, the constituencies harmed by Neoliberalism, particularly the student community now burdened by over $1 trillion in debt and the middle class more generally, are much larger and very much aware that something is badly amiss. As we celebrate the impressive strides made by the Open Movement in the past year, it’s time we broaden our goals to tackle the needs for wider reform in the financing and organization of research and education.
This post originally appeared on Digging Digitally and is reposted under a CC-BY license.”

The Age of ‘Infopolitics’


Colin Koopman in the New York Times: “We are in the midst of a flood of alarming revelations about information sweeps conducted by government agencies and private corporations concerning the activities and habits of ordinary Americans. After the initial alarm that accompanies every leak and news report, many of us retreat to the status quo, quieting ourselves with the thought that these new surveillance strategies are not all that sinister, especially if, as we like to say, we have nothing to hide.
One reason for our complacency is that we lack the intellectual framework to grasp the new kinds of political injustices characteristic of today’s information society. Everyone understands what is wrong with a government’s depriving its citizens of freedom of assembly or liberty of conscience. Everyone (or most everyone) understands the injustice of government-sanctioned racial profiling or policies that produce economic inequality along color lines. But though nearly all of us have a vague sense that something is wrong with the new regimes of data surveillance, it is difficult for us to specify exactly what is happening and why it raises serious concern, let alone what we might do about it.
Our confusion is a sign that we need a new way of thinking about our informational milieu. What we need is a concept of infopolitics that would help us understand the increasingly dense ties between politics and information. Infopolitics encompasses not only traditional state surveillance and data surveillance, but also “data analytics” (the techniques that enable marketers at companies like Target to detect, for instance, if you are pregnant), digital rights movements (promoted by organizations like the Electronic Frontier Foundation), online-only crypto-currencies (like Bitcoin or Litecoin), algorithmic finance (like automated micro-trading) and digital property disputes (from peer-to-peer file sharing to property claims in the virtual world of Second Life). These are only the tip of an enormous iceberg that is drifting we know not where.
Surveying this iceberg is crucial because atop it sits a new kind of person: the informational person. Politically and culturally, we are increasingly defined through an array of information architectures: highly designed environments of data, like our social media profiles, into which we often have to squeeze ourselves. The same is true of identity documents like your passport and individualizing dossiers like your college transcripts. Such architectures capture, code, sort, fasten and analyze a dizzying number of details about us. Our minds are represented by psychological evaluations, education records, credit scores. Our bodies are characterized via medical dossiers, fitness and nutrition tracking regimens, airport security apparatuses. We have become what the privacy theorist Daniel Solove calls “digital persons.” As such we are subject to infopolitics (or what the philosopher Grégoire Chamayou calls “datapower,” the political theorist Davide Panagia “datapolitik” and the pioneering thinker Donna Haraway “informatics of domination”).
Today’s informational person is the culmination of developments stretching back to the late 19th century. It was in those decades that a number of early technologies of informational identity were first assembled. Fingerprinting was implemented in colonial India, then imported to Britain, then exported worldwide. Anthropometry — the measurement of persons to produce identifying records — was developed in France in order to identify recidivists. The registration of births, which has since become profoundly important for initiating identification claims, became standardized in many countries, with Massachusetts pioneering the way in the United States before a census initiative in 1900 led to national standardization. In the same era, bureaucrats visiting rural districts complained that they could not identify individuals whose names changed from context to context, which led to initiatives to universalize standard names. Once fingerprints, biometrics, birth certificates and standardized names were operational, it became possible to implement an international passport system, a social security number and all other manner of paperwork that tells us who someone is. When all that paper ultimately went digital, the reams of data about us became radically more assessable and subject to manipulation, which has made us even more informational.
We like to think of ourselves as somehow apart from all this information. We are real — the information is merely about us. But what is it that is real? What would be left of you if someone took away all your numbers, cards, accounts, dossiers and other informational prostheses? Information is not just about you — it also constitutes who you are….”

Innovation in the Government Industry


in Huffington Post: “Government may be susceptible to the same forces that are currently changing many major industries. Software is eating government, too. Therefore government must use customer development to better serve customers else it risks becoming the next Blockbuster, Borders, or what the large publishing and financial services companies are at risk of becoming…
Government is currently one size fits all. In a free market, there is unblunding and multiple offerings for different segments of a market. For example there’s Natural Light, Budweiser, and Guinness. Competition forces companies to serve customers because if customers don’t like one offering they will simply choose a different one. If you don’t like your laundromat, restaurant, or job, you can simply go somewhere else. In contrast, switching governments is really hard.
Why Now
Government has been able to go a very long time without significant innovation. However now is the time for government to begin adapting because the forces changing nearly every industry may do the same to government. I will reiterate a few themes that Fred Wilson cited in a talk at LeWeb while talking about several different industries and add some more thoughts.
1. Organization: Technology driven networks replacing bureaucratic hierarchies
Bureaucratic hierarchies involve chains of command with lower levels of management making more detailed decisions and reporting back to higher levels of management. These systems often entail long communication lags, high costs, and principal/agent problems.
Technology driven networks are providing more efficient systems for organization and communication. For example, Amazon has changed the publishing industry by enabling anyone to publish content and enabling customers to decide what they want. Twitter has created a network around communication and news, enabling anyone who people want to hear to be heard.
2. Competition: Unbundling of product and service offerings
Technology advancements have made it cheaper and easier than ever before to produce a product and bring it to market. One result is that it’s become easier for an entrepreneur to provide one offering of a larger offering as a standalone offering. It provides customers with the option to buy what they want without having to pay more for stuff they don’t want. In addition, the offerings can be improved because producers are completely focused on that specific offering. For example, we used to buy one newspaper and get world, local, sports, etc. Now it’s all from different sources.
Bundling exists because it was more efficient than attempting to contract in the market for every tiny service. However some of the technology driven networks (as described above) are helping markets become more efficient and giving customers more customizable buying options. For example, you can buy a half hour of education, or borrow money from a peer.
We’re starting to see some of the governments offerings begin to be unbundled. For example, Uber and Hyperloop are providing transportation. A neighborhood in Oakland crowdfunded private security.
3. Finance: Lower payment transaction fees and crowdfunding
Innovation in payments, including Bitcoin, has made it cheaper and easier than ever to transfer money. It’s as easy as sending an email, clicking a hyperlink, or scanning a QR code. In addition, Bitcoin is not controlled by any regulators or intermediaries like the government, credit card companies, or even PayPal.
Crowdfunding enables the collective efforts of individuals to connect and pool their money to back initiatives, make purchases, or fund new projects. A school in Houston crowdfunded some exercise equipment instead of using government funding.
4. Communication: We are all connected and graphed
Mobile devices have become nearly as powerful as desktops or laptops. There are many things we can do with our phone that we can’t do on our desktop/laptop. For example, smartphones have sensors, are location aware, can be carried with us at all times, and are cheaper than desktops or laptops. These factors have lead to mass adoption of mobile devices across the world, including in countries with high poverty where people could not previously afford a desktop or laptop. Mobile is making innovative offerings like Uber and mobile payments possible.
Platforms like Facebook and Twitter provide everyone with access to millions of people. In addition, companies like Klout and Quora are measuring our reputation and social graph improving our ability to transact with each other. For example, when market participants trust one another (through the vehicle of a reputation system) many transactions that wouldn’t otherwise happen can now happen.This illustrated in the rise in popularity of collaborative consumption platforms and peer to peer marketplaces.
Serving Customers
The current government duopoly inhibits us from selecting the government that we want as well as from receiving the best possible service because of lack of incentive. However the technologies described above are making it possible to get services previously provided by the government through more efficient and effective means. They’re enabling a more free market for government services….
If government were to take the customer development route, it could try things like unbundling (see above) so that people could opt for the specific solutions they desire. Given the US government’s current balance sheet, it may actually need to start relying on other providers.
It could also rely more on “economic feedback” to inform its actions. Currently economic feedback is given through voting. Most people vote once every two or four years and then hope they get what they “paid” for. Can you imagine paying for a college without knowing which one you would be going to, know what they would be providing, or being able to request a refund or switch colleges? With more economic incentive, services would need to improve. For example, if there was a free market for roads, people would pay for and use the roads that were most safe.”