Crowdsourcing Mobile App Takes the Globe’s Economic Pulse


Tom Simonite in MIT Technology Review: “In early September, news outlets reported that the price of onions in India had suddenly spiked nearly 300 percent over prices a year before. Analysts warned that the jump in price for this food staple could signal an impending economic crisis, and the Research Bank of India quickly raised interest rates.
A startup company called Premise might’ve helped make the response to India’s onion crisis timelier. As part of a novel approach to tracking the global economy from the bottom up, the company has a daily feed of onion prices from stores around India. More than 700 people in cities around the globe use a mobile app to log the prices of key products in local stores each day.

Premise’s cofounder David Soloff says it’s a valuable way to take the pulse of economies around the world, especially since stores frequently update their prices in response to economic pressures such as wholesale costs and consumer confidence. “All this information is hiding in plain sight on store shelves,” he says, “but there’s no way of capturing and aggregating it in any meaningful way.”
That information could provide a quick way to track and even predict inflation measures such as the U.S. Consumer Price Index. Inflation figures influence the financial industry and are used to set governments’ monetary and fiscal policy, but they are typically updated only once a month. Soloff says Premise’s analyses have shown that for some economies, the data the company collects can reliably predict monthly inflation figures four to six weeks in advance. “You don’t look at the weather forecast once a month,” he says….
Premise’s data may have other uses outside the financial industry. As part of a United Nations program called Global Pulse, Cavallo and PriceStats, which was founded after financial professionals began relying on data from an ongoing academic price-indexing effort called the Billion Prices Project, devised bread price indexes for several Latin American countries. Such indexes typically predict street prices and help governments and NGOs spot emerging food crises. Premise’s data could be used in the same way. The information could also be used to monitor areas of the world, such as Africa, where tracking online prices is unreliable, he says.”

Democracy and Political Ignorance


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)

Collaborative Internet Governance: Terms and Conditions of Analysis


New paper by Mathieu O’Neil in the special issue on Contested Internet Governance of the Revue française d’études américaines: “Online projects are communities of practice which attempt to bypass the hierarchies of everyday life and to create autonomous institutions and forms of organisation. A wealth of theoretical frameworks have been put forward to account for these networked actors’ capacity to communicate and self-organise. This article reviews terminology used in Internet research and assesses what it implies for the understanding of regulatory-oriented collective action. In terms of the environment in which interpersonal communication occurs, what differences does it make to speak of “public spheres” or of “public spaces”? In terms of social formations, of “organisations” or “networks”? And in terms of the diffusion of information over the global network, of “contagion” or “trajectories”? Selecting theoretical frames is a momentous decision for researchers, as it authorises or forbids the analysis of different types of behaviour and practices”.-
Other papers on Internet Governance in the Revue:
Divina Frau-Meigs  (Ed.).  Conducting Research on the Internet and its Governance
The Internet and its Governance: A General Bibliography
Glossary of Key Terms and Notions about Internet Governance
Julia Pohle et Luciano Morganti   The Internet Corporation for Assigned Names and Numbers (ICANN): Origins, Stakes and Tensions
Francesca Musiani et al.   Net Neutrality as an Internet Governance Issue: The Globalization of an American-Born Debate
Jeanette Hofmann   Narratives of Copyright Enforcement: The Upward Ratchet and the Sleeping Giant
Elizabeth Dubois et William H. Dutton   The Fifth Estate in Internet Governance: Collective Accountability of a Canadian Policy Initiative
Mathieu O’Neil   Collaborative Internet Governance: Terms and Conditions of Analysis
Peng Hwa Ang et Natalie Pang  Globalization of the Internet, Sovereignty or Democracy: The Trilemma of the Internet Governance Forum

The Brave New World of Good


Brad Smith: “Welcome to the Brave New World of Good. Once almost the exclusive province of nonprofit organizations and the philanthropic foundations that fund them, today the terrain of good is disputed by social entrepreneurs, social enterprises, impact investors, big business, governments, and geeks. Their tools of choice are markets, open data, innovation, hackathons, and disruption. They cross borders, social classes, and paradigms with the swipe of a touch screen. We seemed poised to unleash a whole new era of social and environmental progress, accompanied by unimagined economic prosperity.
As a brand, good is unassailably brilliant. Who could be against it? It is virtually impossible to write an even mildly skeptical blog post about good without sounding well, bad — or at least a bit old-fashioned. For the record, I firmly believe there is much in the brave new world of good that is helping us find our way out of the tired and often failed models of progress and change on which we have for too long relied. Still, there are assumptions worth questioning and questions worth answering to ensure that the good we seek is the good that can be achieved.

Open Data
Second only to “good” in terms of marketing genius is the concept of “open data.” An offspring of previous movements such as “open source,” “open content,” and “open access,” open data in the Internet age has come to mean data that is machine-readable, free to access, and free to use, re-use, and re-distribute, subject to attribution. Fully open data goes way beyond posting your .pdf document on a Web site (as neatly explained by Tim Berners Lee’s five-star framework).
When it comes to government, there is a rapidly accelerating movement around the world that is furthering transparency by making vast stores of data open. Ditto on the data of international aid funders like the United States Agency for International Development, the World Bank, and the Organisation for Economic Co-operation and Development. The push has now expanded to the tax return data of nonprofits and foundations (IRS Forms 990). Collection of data by government has a business model; it’s called tax dollars. However, open data is not born pure. Cleaning that data, making it searchable, and building and maintaining reliable user interfaces is complex, time-consuming, and often expensive. That requires a consistent stream of income of the kind that can only come from fees, subscriptions, or, increasingly less so, government.
Foundation grants are great for short-term investment, experimentation, or building an app or two, but they are no substitute for a scalable business model. Structured, longitudinal data are vital to social, environmental, and economic progress. In a global economy where government is retreating from the funding of public goods, figuring how to pay for the cost of that data is one of our greatest challenges.”

Global Open Data Initiative moving forward


“The Global Open Data Initiative will serve as a guiding voice internationally on open data issues. Civil society groups who focus on open data have often been isolated to single national contexts, despite the similar challenges and opportunities repeating themselves in countries across the globe. The Global Open Data Initiative aims to help share valuable resources, guidance and judgment, and to clarify the potential for government open data across the world.
Provide a leading vision for how governments approach open data. Open data commitments are among the most popular commitments for countries participating in the Open Government Partnership. The Global Open Data Initiative recommendations and resources will help guide open data initiatives and others as they seek to design and implement strong, effective open data initiatives and policies. Global Open Data Initiative resources will also help civil society actors who will be evaluating government initiatives.
Increase awareness of open data. Global Open Data Initiative will work to advance the understanding of open data issues, challenges, and resources by promoting best practices, engaging in online and offline dialogue, and supporting networking between organizations both new and familiar to the open data arena.
Support the development of the global open data community especially in civil society. Civil society organizations (CSOs) have a key role to play as suppliers, intermediaries, and users of open data, though at present, relatively few organizations are engaging with open data and the opportunities it presents. Most CSOs lack the awareness, skills and support needed to be active users and providers of open data in ways that can help them meet their goals. The Global Open Data Initiative aims to help CSOs, to engage with and use open data whether whatever area they work on – be it climate change, democratic rights, land governance or financial reform.
Our immediate focus is on two activities:

  1. To consult with members of the CSO community around the world about what they think is important in this area
  2. Develop a set of principles in collaboration with the CSO community to guide open government data policies and approaches and to help initiate, strengthen and further elevate conversations between governments and civil society.”

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).”

Commons at the Intersection of Peer Production, Citizen Science, and Big Data: Galaxy Zoo


New paper by Michael J. Madison: “The knowledge commons research framework is applied to a case of commons governance grounded in research in modern astronomy. The case, Galaxy Zoo, is a leading example of at least three different contemporary phenomena. In the first place Galaxy Zoo is a global citizen science project, in which volunteer non-scientists have been recruited to participate in large-scale data analysis via the Internet. In the second place Galaxy Zoo is a highly successful example of peer production, some times known colloquially as crowdsourcing, by which data are gathered, supplied, and/or analyzed by very large numbers of anonymous and pseudonymous contributors to an enterprise that is centrally coordinated or managed. In the third place Galaxy Zoo is a highly visible example of data-intensive science, sometimes referred to as e-science or Big Data science, by which scientific researchers develop methods to grapple with the massive volumes of digital data now available to them via modern sensing and imaging technologies. This chapter synthesizes these three perspectives on Galaxy Zoo via the knowledge commons framework.”

Imagining Data Without Division


Thomas Lin in Quanta Magazine: “As science dives into an ocean of data, the demands of large-scale interdisciplinary collaborations are growing increasingly acute…Seven years ago, when David Schimel was asked to design an ambitious data project called the National Ecological Observatory Network, it was little more than a National Science Foundation grant. There was no formal organization, no employees, no detailed science plan. Emboldened by advances in remote sensing, data storage and computing power, NEON sought answers to the biggest question in ecology: How do global climate change, land use and biodiversity influence natural and managed ecosystems and the biosphere as a whole?…
For projects like NEON, interpreting the data is a complicated business. Early on, the team realized that its data, while mid-size compared with the largest physics and biology projects, would be big in complexity. “NEON’s contribution to big data is not in its volume,” said Steve Berukoff, the project’s assistant director for data products. “It’s in the heterogeneity and spatial and temporal distribution of data.”
Unlike the roughly 20 critical measurements in climate science or the vast but relatively structured data in particle physics, NEON will have more than 500 quantities to keep track of, from temperature, soil and water measurements to insect, bird, mammal and microbial samples to remote sensing and aerial imaging. Much of the data is highly unstructured and difficult to parse — for example, taxonomic names and behavioral observations, which are sometimes subject to debate and revision.
And, as daunting as the looming data crush appears from a technical perspective, some of the greatest challenges are wholly nontechnical. Many researchers say the big science projects and analytical tools of the future can succeed only with the right mix of science, statistics, computer science, pure mathematics and deft leadership. In the big data age of distributed computing — in which enormously complex tasks are divided across a network of computers — the question remains: How should distributed science be conducted across a network of researchers?
Part of the adjustment involves embracing “open science” practices, including open-source platforms and data analysis tools, data sharing and open access to scientific publications, said Chris Mattmann, 32, who helped develop a precursor to Hadoop, a popular open-source data analysis framework that is used by tech giants like Yahoo, Amazon and Apple and that NEON is exploring. Without developing shared tools to analyze big, messy data sets, Mattmann said, each new project or lab will squander precious time and resources reinventing the same tools. Likewise, sharing data and published results will obviate redundant research.
To this end, international representatives from the newly formed Research Data Alliance met this month in Washington to map out their plans for a global open data infrastructure.”

Some Obvious Things About Internet Reputation Systems


Tom Slee: “Debates around the “sharing economy” have been driven by personal stories and broad claims. There are no personal stories here. Instead, this is a fairly dense step-by-step look at the internet reputation systems on which the sharing economy claims are based, and some predictions about the future of the sharing economy.
This post is the short version. If you find you are interested, you should probably read the attached PDF, which has a whole bunch of footnotes, with references, statistics, and even personal stories….
Internet reputation systems let individuals rate other individuals over the internet and provide recommendations based on those ratings. A new class of enterprise claims to use internet reputation systems to enable sharing of personal goods and services at unprecedented scale. Its rise has been announced by both Forbes, and by The Economist, according to which accommodation rental service Airbnb…

…is the most prominent example of a huge new “sharing economy”, in which people rent beds, cars, boats and other assets directly from each other, co-ordinated via the internet. …[T]echnology has reduced transaction costs, making sharing assets cheaper and easier than ever—and therefore possible on a much larger scale… social networks provide a way to check up on people and build trust; and online payment systems handle the billing.

The claim is that internet reputation systems solve two problems. One is coordination (can I find someone who has what I want, or wants what I have?) and the other is trust (can you trust the person on the other side of the exchange to keep their end of the bargain?). Sharing economy advocates claim, and I will return to this at the end of the essay, that it is both necessary and sufficient to solve these problems to unlock a large new economy of resource sharing.

Market-based incentives erode the effectiveness of reputation, and in this respect reputation is a cultural commons. In her TED talk, influential author Rachel Botsman says that in the new economy “reputation will be your most valuable asset”, but as reputation becomes an important asset, markets will grow around it and intermediaries will claim to help you boost your reputation, but these market-based incentives destroy the value of reputation as a mechanism for establishing trust. Mechanisms for buying and selling testimonies, for example, cause testimonies to lose their ability to discriminate between trustworthiness and opportunism because an opportunist with money could buy themselves a good reputation…
Internet reputation systems promise to create a global village by scaling up informal word-of-mouth reputation mechanisms for sharing and for creating trust, and so solve both the coordination and the trust problem for a variety of services which could not previously be exchanged. For sharing economy advocates, reputation is an alternative to regulation: law professor Lior Strahilevitz asks us to “imagine if every plumber, manufactured product, cell phone provider, home builder, professor, hair stylist, accountant, attorney, golf pro, and taxi driver were rated… In such a world, there would be diminished need for regulatory oversight and legal remedies because consumers would police misconduct themselves.”
Do internet reputation systems act as an effective signal of trustworthiness?…
So even in the absence of explicit gaming, peer-to-peer internet reputation systems do not solve the problem of trust.
Still, sharing economy web sites are growing fast. How are they succeeding if the peer-to-peer reputation systems fail to solve the problem of trust?
One reason is that coordination is useful in itself….
To be successful, the venture-capital-funded “sharing economy” will be forced to lose all those aspects of informal sharing that makes “sharing” attractive, and to keep those aspects that erode neighbourhoods, erode employment rights, and remove basic standards. And if they succeed, they will have used the language of sharing to bring about an unregulated, free-market, neoliberal economy.”

Making All Voices Count


Launch of Making All Voices Count: “Making All Voices Count is a global initiative that supports innovation, scaling-up, and research to deepen existing innovations and help harness new technologies to enable citizen engagement and government responsiveness….Solvable problems need not remain unsolved. Democratic systems in the 21st century continue to be inhibited by 19th century timescales, with only occasional opportunities for citizens to express their views formally, such as during elections. In this century, many citizens have access to numerous tools that enable them to express their views – and measure government performance – in real time.
For example, online reporting platforms enable citizens to monitor the election process by reporting intimidation, vote buying, bias and misinformation; access to mobile technology allows citizens to update water suppliers on gaps in service delivery; crisis information can be crowdsourced via eyewitness reports of violence, as reported by email and sms.
The rise of mobile communication, the installation of broadband and the fast-growing availability of open data, offer tremendous opportunities for data journalism and new media channels. They can inspire governments to develop new ways to fight corruption and respond to citizens efficiently, effectively and fairly. In short, developments in technology and innovation mean that government and citizens can interact like never before.
Making All Voices Count is about seizing this moment to strengthen our commitments to promote transparency, fight corruption, empower citizens, and harness the power of new technologies to make government more effective and accountable.
The programme specifically aims to address the following barriers that weaken the link between governments and citizens:

  • Citizens lack incentives: Citizens may not have the necessary incentives to express their feedback on government performance – due to a sense of powerlessness, distrust in the government, fear of retribution, or lack of reliable information
  • Governments lack incentives: At the same time, governments need incentives to respond to citizen input whenever possible and to leverage citizen participation. The government’s response to citizens should be reinforced by proactive, public communication.  This initiative will help create incentives for government to respond.  Where government responds effectively, citizens’ confidence in government performance and approval ratings are likely to increase
  • Governments lack the ability to translate citizen feedback into action: This could be due to anything from political constraints to a lack of skills and systems. Governments need better tools to effectively analyze and translate citizen input into information that will lead to solutions and shape resource allocation. Once captured, citizens’ feedback (on their experiences with government performance) must be communicated so as to engage both the government and the broader public in finding a solution.
  • Citizens lack meaningful opportunities: Citizens need greater access to better tools and know-how to easily engage with government in a way that results in government action and citizen empowerment”