From the Digital Economy “Communities and Culture” Network: “The term ‘Big Data’ carries a great deal of currency in business and academic spheres. Data and their subsequent analysis are obviously not new. ‘Bigness’ in this context often refers to three characteristics that differentiate it from so-called ‘small’ data: volume, variety, and velocity. These three attributes of ‘bigness’, promising to open novel, macro-level perspectives on complex issues (Boyd and Crawford 2011), led enthusiasts like Chris Anderson to claim that ‘with enough data, the numbers speak for themselves”. But is this actually the case? Critical voices like Manovich (2011) argue that data never exist in ‘raw’ forms but are rather influenced by humans who—whether intentionally or not—select and construct them in certain ways.
These debates about data are relevant to wider discussions about digital change in society because they point to a more general concern about the potential of all sizes of data to selectively reveal dimensions of social phenomena on which decisions or policies are based. Crucially, if data generation and analysis is not entirely neutral but rather carries assumptions about what is ‘worthwhile’ or ‘acceptable’ to measure in the first place, then it raises critical questions of whether preferences for certain types of research—particularly work conducted under the auspices of a Big Data ‘brand’—reflect coherent sets of values and worldviews. What assumptions underpin preferences for ‘evidence-based’ research based on data? What qualities does such a phrase signify or confer to research? Which ‘sizes’ of data qualify as ‘evidence’ in the first place, or, to play on Anderson’s words, what kinds of data are allowed to speak for themselves in the realms of policy, media, and advocacy?
Hosted at the ESRC Centre on Migration, Policy, and Society (COMPAS) and The Migration Observatory at the University of Oxford, this project critically interrogates the values that inform demands by civil society organisations for research that is ‘data-driven’ or ‘evidence-based’. Specifically, it aims to document the extent to which perceived advantages of data ‘bigness’ (volume, variety, and velocity) influence these demands.
Read the report.“
Mapping the Next Frontier of Open Data: Corporate Data Sharing
Stefaan Verhulst at the GovLab (cross-posted at the UN Global Pulse Blog): “When it comes to data, we are living in the Cambrian Age. About ninety percent of the data that exists today has been generated within the last two years. We create 2.5 quintillion bytes of data on a daily basis—equivalent to a “new Google every four days.”
All of this means that we are certain to witness a rapid intensification in the process of “datafication”– already well underway. Use of data will grow increasingly critical. Data will confer strategic advantages; it will become essential to addressing many of our most important social, economic and political challenges.
This explains–at least in large part–why the Open Data movement has grown so rapidly in recent years. More and more, it has become evident that questions surrounding data access and use are emerging as one of the transformational opportunities of our time.
Today, it is estimated that over one million datasets have been made open or public. The vast majority of this open data is government data—information collected by agencies and departments in countries as varied as India, Uganda and the United States. But what of the terabyte after terabyte of data that is collected and stored by corporations? This data is also quite valuable, but it has been harder to access.
The topic of private sector data sharing was the focus of a recent conference organized by the Responsible Data Forum, Data and Society Research Institute and Global Pulse (see event summary). Participants at the conference, which was hosted by The Rockefeller Foundation in New York City, included representatives from a variety of sectors who converged to discuss ways to improve access to private data; the data held by private entities and corporations. The purpose for that access was rooted in a broad recognition that private data has the potential to foster much public good. At the same time, a variety of constraints—notably privacy and security, but also proprietary interests and data protectionism on the part of some companies—hold back this potential.
The framing for issues surrounding sharing private data has been broadly referred to under the rubric of “corporate data philanthropy.” The term refers to an emerging trend whereby companies have started sharing anonymized and aggregated data with third-party users who can then look for patterns or otherwise analyze the data in ways that lead to policy insights and other public good. The term was coined at the World Economic Forum meeting in Davos, in 2011, and has gained wider currency through Global Pulse, a United Nations data project that has popularized the notion of a global “data commons.”
Although still far from prevalent, some examples of corporate data sharing exist….
Help us map the field
A more comprehensive mapping of the field of corporate data sharing would draw on a wide range of case studies and examples to identify opportunities and gaps, and to inspire more corporations to allow access to their data (consider, for instance, the GovLab Open Data 500 mapping for open government data) . From a research point of view, the following questions would be important to ask:
- What types of data sharing have proven most successful, and which ones least?
- Who are the users of corporate shared data, and for what purposes?
- What conditions encourage companies to share, and what are the concerns that prevent sharing?
- What incentives can be created (economic, regulatory, etc.) to encourage corporate data philanthropy?
- What differences (if any) exist between shared government data and shared private sector data?
- What steps need to be taken to minimize potential harms (e.g., to privacy and security) when sharing data?
- What’s the value created from using shared private data?
We (the GovLab; Global Pulse; and Data & Society) welcome your input to add to this list of questions, or to help us answer them by providing case studies and examples of corporate data philanthropy. Please add your examples below, use our Google Form or email them to us at corporatedata@thegovlab.org”
Fighting Inequality in the New Gilded Age
Book Review by K. Sabeel Rahman in the Boston Review:
“In the years since the financial crisis, the realities of rapid economic recovery for some and stagnant wages for most has made increasingly clear that we live in a new Gilded Age: one marked by growing income inequality, decreasing social mobility, and concentrated corporate power. At the same time, we face an increasingly dysfunctional political system, apparently incapable of addressing these fundamental economic challenges.
This is not the first time the country has been caught in this confluence of economic inequality and political dysfunction. The first Gilded Age, in the late nineteenth century, experienced a similar moment of economic upheaval, instability, inequality, rising corporate power, and unresponsive government. These challenges triggered some of the most powerful reform movements in American history: the labor and antitrust movements, the Populist movement of agrarian reformers, and the Progressive movement of urban social and economic reformers. These reformers were not perfect—their record on racial and ethnic inequality is especially glaring—but they were enormously successful in creating new institutions and ideas that reshaped our economy and our politics. In particular, many of them were convinced that to address economic inequality, they had to first democratize politics, creating more robust forms of accountability and popular sovereignty against the influence of economic and political elites….
With his new book, White Collar Government: The Hidden Role of Class in Economic Policy-Making (2013), Nicholas Carnes argues that there is a third, even more important source of elite political influence: the dominance of upper class individuals in the composition of legislatures themselves. Despite the considerable external pressures of donors, constituent preferences, parties, and interest groups, legislators still possess significant discretion, and as a result their personal views about economic policy matter. Legislators of different class backgrounds, Carnes demonstrates, have distinct views on everything from labor to welfare programs and anti-poverty policies, to the very idea of government itself. On unemployment, labor rights, tax policy, and corporate protections, many of the central economic policy issues of our time involve a cleavage between wealthy and working class interests. The underrepresentation of the working class results in an underrepresentation of working class interests, exacerbating income inequality. “Whether our political system listens to one voice or another depends not just on who’s doing the talking or how loud they are,” writes Carnes; “it also depends on who’s doing the listening.”….
In The Promise of Participation: Experiments in Participatory Governance in Honduras and Guatemala (2013), Daniel Altschuler and Javier Corrales focus similar questions to those animating Carnes’ account: What institutional contexts enable ordinary citizens—especially poorer ones—to expand their representation in decision-making? What expands their knowledge of issues, their political networks, and their willingness to participate more broadly to advocate for their interests? To gain traction on this question, they undertook the first large-scale study of participatory governance, examining the nation-wide community-managed schools program in Honduras and Guatemala. These programs operated in areas that conventionally might be considered inhospitable to participatory governance: poor, rural districts. These programs engaged parents by giving them management and administrative duties in the daily activities of the school. In both countries, the programs were established to both address pervasive disparities in educational attainment, and to improve the accountability of government officials in delivering basic services to the poor….
In Making Democracy Fun: How Game Design Can Empower Citizens and Transform Politics, Lerner takes a practitioners’ look at participatory governance. Lerner is the Executive Director of the Participatory Budgeting Project, a non-profit dedicated to adapting participatory budgeting systems and implementing them in cities such as New York, Chicago, and Boston. Where Altschuler and Corrales are primarily concerned with the macro-institutional contexts that make participatory governance systems work well, Lerner’s insights revolve around the micro-practices of how to make participation effective at the face-to-face level….
Our recent experience of economic inequality has fueled the rise of a new social science of economic inequality and oligarchy, most recently and famously captured in the debates over Thomas Piketty’s Capital in the Twenty-First Century. But we also need a constructive account of what a more responsive and representative democratic politics looks like, and how to achieve it. Reformers coming out of the Gilded Age of the late nineteenth century similarly located the roots of economic inequality in political inequality. The era of Standard Oil and J.P. Morgan (the man, before the firm), and of widening income inequality was also the era of dysfunctional machine politics and a conservative Supreme Court that stymied social reform. These challenges fueled reform movements that struggled to restore popular sovereignty and genuine democracy—proposing everything from antitrust restraints on corporate power, to the first campaign finance systems, to new procedures for popular elections of Senators, party primaries, and direct democratic referenda. It was during this period that state and federal governments experimented with antitrust laws, rate regulation, and labor regulation. Many of the economic ideas first developed out of this ferment came to fruition in the New Deal.
Today we see the echoes of this zeal in the debates around campaign finance reform and the problem of “too-big-to-fail” banks. But reviving genuine democratic equality to address economic inequality requires a broader view of potential democratizing reforms. Carnes reminds us that the identity of who governs matters as much for class and economic policy as for any other dimension of representation. But Altschuler, Corrales, and Lerner suggest as well the importance of looking outside legislatures. Governing involves more than writing statutes; it is solving disputes, administering social services, implementing directives at the local level. And these are spaces where the prospects for greater political power—especially on the part of economically marginalized groups—may even be greater than at national scale legislatures. The proliferation of open government efforts in the United States—from governmental transparencyto engaging citizens to report potholes—suggests a growing reform interest in creating alternative channels for participation and representation. But too often these efforts are more limited than their rhetoric, focusing more narrowly on making existing policies well known or efficient, rather than empowering participants to challenge and reshape them. These books underscore that genuine democratic reform requires actually empowering ordinary citizens to drive the business of governing.”
DrivenData
DrivenData Blog: “As we begin launching our first competitions, we thought it would be a good idea to lay out what exactly we’re trying to do and why….
At DrivenData, we want to bring cutting-edge practices in data science and crowdsourcing to some of the world’s biggest social challenges and the organizations taking them on. We host online challenges, usually lasting 2-3 months, where a global community of data scientists competes to come up with the best statistical model for difficult predictive problems that make a difference.
Just like every major corporation today, nonprofits and NGOs have more data than ever before. And just like those corporations, they are trying to figure out how to make the best use of their data. We work with mission-driven organizations to identify specific predictive questions that they care about answering and can use their data to tackle.
Then we host the online competitions, where experts from around the world vie to come up with the best solution. Some competitors are experienced data scientists in the private sector, analyzing corporate data by day, saving the world by night, and testing their mettle on complex questions of impact. Others are smart, sophisticated students and researchers looking to hone their skills on real-world datasets and real-world problems. Still more have extensive experience with social sector data and want to bring their expertise to bear on new, meaningful challenges – with immediate feedback on how well their solution performs.
Like any data competition platform, we want to harness the power of crowds combined with the increasing prevalence of large, relevant datasets. Unlike other data competition platforms, our primary goal is to create actual, measurable, lasting positive change in the world with our competitions. At the end of each challenge, we work with the sponsoring organization to integrate the winning solutions, giving them the tools to drive real improvements in their impact….
We are launching soon and we want you to join us!
If you want to get updates about our launch this fall with exciting, real competitions, please sign up for our mailing list here and follow us on Twitter: @drivendataorg.
If you are a data scientist, feel free to create an account and start playing with our first sandbox competitions.
If you are a nonprofit or public sector organization, and want to squeeze every drop of mission effectiveness out of your data, check out the info on our site and let us know! “
The Stasi, casinos and the Big Data rush
Book Review by Hannah Kuchler of “What Stays in Vegas” (by Adam Tanner) in the Financial Times: “Books with sexy titles and decidedly unsexy topics – like, say, data – have a tendency to disappoint. But What Stays in Vegas is an engrossing, story-packed takedown of the data industry.
It begins, far from America’s gambling capital, in communist East Germany. The author, Adam Tanner, now a fellow at Harvard’s Institute for Quantitative Social Science, was in the late 1980s a travel writer taking notes on Dresden. What he did not realise was that the Stasi was busy taking notes on him – 50 pages in all – which he found when the files were opened after reunification. The secret police knew where he had stopped to consult a map, to whom he asked questions and when he looked in on a hotel.
Today, Tanner explains: “Thanks to meticulous data gathering from both public documents and commercial records, companies . . . know far more about typical consumers than the feared East German secret police recorded about me.”
Shining a light on how businesses outside the tech sector have become data addicts, Tanner focuses on Las Vegas casinos, which spotted the value in data decades ago. He was given access to Caesar’s Entertainment, one of the world’s largest casino operators. When chief executive Gary Loveman joined in the late 1990s, the former Harvard Business School professor bet the company’s future on harvesting personal data from its loyalty scheme. Rather than wooing the “whales” who spent the most, the company would use the data to decide which freebies were worth giving away to lure in mid-spenders who came back often – a strategy credited with helping the business grow.
The real revelations come when Tanner examines the data brokers’ “Cheez Whiz”. Like the maker of a popular processed dairy spread, he argues, data brokers blend ingredients from a range of sources, such as public records, marketing lists and commercial records, to create a detailed picture of your identity – and you will never quite be able to pin down the origin of any component…
The Big Data rush has gone into overdrive since the global economic crisis as marketers from different industries have sought new methods to grab the limited consumer spending available. Tanner argues that while users have in theory given permission for much of this information to be made public in bits and pieces, increasingly industrial-scale aggregation often feels like an invasion of privacy.
Privacy policies are so long and obtuse (one study Tanner quotes found that it would take a person more than a month, working full-time, to read all the privacy statements they come across in a year), people are unwittingly littering their data all over the internet. Anyway, marketers can intuit what we are like from the people we are connected to online. And as the data brokers’ lists are usually private, there is no way to check the compilers have got their facts right…”
Goodbye, Organization Man
David Brooks in the New York Times:”…The result, right now, is unnecessary deaths from the Ebola virus in Africa. …. At root, this is a governance failure. The disease spreads fastest in places where the health care infrastructure is lacking or nonexistent. Liberia, for example, is being overrun while Ivory Coast has put in a series of policies to prevent an outbreak. The few doctors and nurses in the affected places have trouble acquiring the safety basics: gloves and body bags. More than 100, so far, have died fighting the outbreak.
But it’s not just a failure of governance in Africa. It’s a failure of governance around the world. I wonder if we are looking at the results of a cultural shift.
A few generations ago, people grew up in and were comfortable with big organizations — the army, corporations and agencies. They organized huge construction projects in the 1930s, gigantic industrial mobilization during World War II, highway construction and corporate growth during the 1950s. Institutional stewardship, the care and reform of big organizations, was more prestigious.
Now nobody wants to be an Organization Man. We like start-ups, disrupters and rebels. Creativity is honored more than the administrative execution. Post-Internet, many people assume that big problems can be solved by swarms of small, loosely networked nonprofits and social entrepreneurs. Big hierarchical organizations are dinosaurs.
The Ebola crisis is another example that shows that this is misguided. The big, stolid agencies — the health ministries, the infrastructure builders, the procurement agencies — are the bulwarks of the civil and global order. Public and nonprofit management, the stuff that gets derided as “overhead,” really matters. It’s as important to attract talent to health ministries as it is to spend money on specific medicines.
As recent books by Francis Fukuyama and Philip Howard have detailed, this is an era of general institutional decay. New, mobile institutions languish on the drawing broad, while old ones are not reformed and tended. Executives at public agencies are robbed of discretionary power. Their hands are bound by court judgments and regulations.
When the boring tasks of governance are not performed, infrastructures don’t get built. Then, when epidemics strike, people die.”
Business Models for Open Innovation: Matching Heterogenous Open Innovation Strategies with Business Model Dimensions
New paper by Saebi, Tina and Foss, Nicolai, available at SSRN: “Research on open innovation suggests that companies benefit differentially from adopting open innovation strategies; however, it is unclear why this is so. One possible explanation is that companies’ business models are not attuned to open strategies. Accordingly, we propose a contingency model of open business models by systematically linking open innovation strategies to core business model dimensions, notably the content, structure, governance of transactions. We further illustrate a continuum of open innovativeness, differentiating between four types of open business models. We contribute to the open innovation literature by specifying the conditions under which business models are conducive to the success of open innovation strategies.”
How Open Data Is Transforming City Life
Joel Gurin, The GovLab, at Techonomy: “Start a business. Manage your power use. Find cheap rents, or avoid crime-ridden neighborhoods. Cities and their citizens worldwide are discovering the power of “open data”—public data and information available from government and other sources that can help solve civic problems and create new business opportunities. By opening up data about transportation, education, health care, and more, municipal governments are helping app developers, civil society organizations, and others to find innovative ways to tackle urban problems. For any city that wants to promote entrepreneurship and economic development, open data can be a valuable new resource.
The urban open data movement has been growing for several years, with American cities including New York, San Francisco, Chicago, and Washington in the forefront. Now an increasing number of government officials, entrepreneurs, and civic hackers are recognizing the potential of open data. The results have included applications that can be used across many cities as well as those tailored to an individual city’s needs.
At first, the open data movement was driven by a commitment to transparency and accountability. City, state, and local governments have all released data about their finances and operations in the interest of good government and citizen participation. Now some tech companies are providing platforms to make this kind of city data more accessible, useful, and comparable. Companies like OpenGov and Govini make it possible for city managers and residents to examine finances, assess police department overtime, and monitor other factors that let them compare their city’s performance to neighboring municipalities.
Other new businesses are tapping city data to provide residents with useful, practical information. One of the best examples is NextBus, which uses metropolitan transportation data to tell commuters when to expect a bus along their route. Commuter apps like this have become common in cities in the U.S. and around the world. Another website, SpotCrime, collects, analyzes, and maps crime statistics to tell city dwellers which areas are safest or most dangerous and to offer crime alerts. And the Chicago-based Purple Binder helps people in need find city healthcare services. Many companies in the Open Data 500, the study of open data companies that I direct at the GovLab at NYU, use data from cities as well as other sources….
Some of the most ambitious uses of city data—with some of the greatest potential—focus on improving education. In Washington, the nonprofit Learn DC has made data about public schools available through a portal that state agencies, community organizations, and civic hackers can all use. They’re using it for collaborative research and action that, they say, has “empowered every DC parent to participate in shaping the future of the public education system.”…”
Participatory Budgeting: Ten Actions to Engage Citizens via Social Media
New report by Victoria Gordon for the IBM Center for the Business of Government: “Participatory budgeting is an innovation in direct citizen participation in government decision-making that began 25 years ago in a town in Brazil. It has since spread to 1,000 other cities worldwide and is gaining interest in U.S. cities as well.
Dr. Gordon’s report offers an overview of the state of participatory budgeting, and the potential value of integrating the use of social media into the participatory process design. Her report details three case studies of U.S. communities that have undertaken participatory budgeting initiatives. While these cases are relatively small in scope, they provide insights into what potential users need to consider if they wanted to develop their own initiatives.
Based on her research and observations, Dr. Gordon recommends ten actions community leaders can take to create the right participatory budgeting infrastructure to increase citizen participation and assess its impact. A key element in her recommendations is to proactively incorporate social media strategies”
DATAcide
Douglas Haddow at Adbusters on “The Total Annihilation of Life as We Know It”: “…When the TechCrunchers preach the gospel of disruption, it’s from an industrial perspective that sees life on Earth as a series of business models to be upended. Disrupt or die is the motto, but they never mention the disruptees — the travel agents, the cab drivers, the bellhops. The journalists. The meat in the box before the box is crushed by the anvil of innovation.
“People have ideas about things but it’s a bunch of things. Sign up flow for example, high level things, but sometimes I think — let’s table this for now and put together some idea maps. I feel so empowered because we’re aligned,” someone else says. I look around but can’t trace the source.
It’s hard to focus on his questions when all the conversations occurring parallel to ours combine in a cacophony of sameness, as if we’re all Tedtalking a mantra of ancient buzzwords: Engagement. Intuitive. Connection. User base. Revolutionary. It’s like coke talk gone sour, not words that are meant to say things, but stale semiotics that signify you belong. This is the the new language of business. This is where Wall Street goes to find itself…
The internet is a failed utopia. And we’re all trapped inside of it. But I’m not willing to give up on it yet. It’s where I first discovered punk rock and anarchism. Where I learned about the I Ching and Albert Camus while downloading “Holiday in Cambodia” at 15kbps. It’s where I first perved out on the photos of a girl I would eventually fall in love with. It’s home to me, you and everybody we know.
No, the appropriate question to ask is: “What is the purpose of my life?”
I’ve seen the best minds of my generation sucked dry by the economics of the infinite scroll. Amidst the innovation fatigue inherent to a world with more phones than people, we’ve experienced a spectacular failure of the imagination and turned the internet, likely the only thing between us and a very dark future, into little more than a glorified counting machine.
Am I data, or am I human? The truth is somewhere in between. Next time you click I AGREE on some purposefully confusing terms and conditions form, pause for a moment to interrogate the power that lies behind the code. The dream of the internet may have proven difficult to maintain, but the solution is not to dream less, but to dream harder.”