More Top-Down Participation, Please! Institutionalized empowerment through open participation

Curated on Posted on by Stefaan Verhulst

Michelle Ruesch and Oliver Märker in DDD: “…this is not another article on the empowering potential of bottom-up digital political participation. Quite the contrary: It instead seeks to stress the empowering potential of top-down digital political participation. Strikingly, the democratic institutionalization of (digital) political participation is rarely considered when we speak about power in the context of political participation. Wouldn’t it be true empowerment though if the right of citizens to speak their minds were directly integrated into political and administrative decision-making processes?

Institutionalized political participation

Political participation, defined as any act that aims to influence politics in some way, can be initiated either by citizens, referred to as “bottom-up” participation, or by government, often referred to as “top-down” participation.  For many, the word “top-down” instantly evokes negative connotations, even though top-down participatory spaces are actually the foundation of democracy. These are the spaces of participation offered by the state and guaranteed by democratic constitutions. For a long time, top-down participation could be equated with formal democratic participation such as elections, referenda or party politics. Today, however, in states like Germany we can observe a new form of top-down political participation, namely government-initiated participation that goes beyond what is legally required and usually makes extensive use of digital media.
Like many other Western states, Germany has to cope with decreasing voter turnout and a lack of trust in political parties. At the same time, according to a recent study from 2012, two-thirds of eligible voters would like to be more involved in political decisions. The case of “Stuttgart 21” served as a late wake-up call for many German municipalities. Plans to construct a new train station in the center of the city of Stuttgart resulted in a petition for a local referendum, which was rejected. Protests against the train station culminated in widespread demonstrations in 2010, forcing construction to be halted. Even though a referendum was finally held in 2011 and a slight majority voted in favor of the train station, the Stuttgart 21 case has since been cited by Chancellor Angela Merkel and others as an example of the negative consequences of taking decisions without consulting with citizens early on. More and more municipalities and federal ministries in Germany have therefore started acknowledging that the conventional democratic model of participation in elections every few years is no longer sufficient. The Federal Ministry of Transport, Building and Urban Development, for example, published a manual for “good participation” in urban development projects….

What’s so great about top-down participation?

Semi-formal top-down participation processes have one major thing in common, regardless of the topic they address: Governmental institutions voluntarily open up a space for dialogue and thereby obligate themselves to take citizens’ concerns and ideas into account.
As a consequence, government-initiated participation offers the potential for institutionalized empowerment beyond elections. It grants the possibility of integrating participation into political and administrative decision-making processes….
Bottom-up participation will surely always be an important mobilizer of democratic change. Nevertheless, the provision of spaces of open participation by governments can aid in the institutionalization of citizens’ involvement in political decision-making. Had Stuttgart offered an open space of participation early in the train station construction process, maybe protests would never have escalated the way they did.
So is top-down participation the next step in the process of democratization? It could be, but only under certain conditions. Most importantly, top-down open participation requires a genuine willingness to abandon the old principle of doing business behind closed doors. This is not an easy undertaking; it requires time and endurance. Serious open participation also requires creating state institutions that ensure the relevance of the results by evaluating them and considering them in political decisions. We have formulated ten conditions that we consider necessary for the genuine institutionalization of open political participation [14]:

  • There needs to be some scope for decision-making. Top-down participation only makes sense when the results of the participation can influence decisions.
  • The government must genuinely aim to integrate the results into decision-making processes.
  • The limits of participation must be communicated clearly. Citizens must be informed if final decision-making power rests with a political body, for example.
  • The subject matter, rules and procedures need to be transparent.
  • Citizens need to be aware that they have the opportunity to participate.
  • Access to participation must be easy, the channels of participation chosen according to the citizens’ media habits. Using the Internet should not be a goal in itself.
  • The participatory space should be “neutral ground”. A moderator can help ensure this.
  • The set-up must be interactive. Providing information is only a prerequisite for participation.
  • Participation must be possible without providing real names or personal data.
  • Citizens must receive continuous feedback regarding how results are handled and the implementation process.”

Smart Cities Turn Big Data Into Insight [Infographic]

Curated on Posted on by Stefaan Verhulst

Mark van Rijmenam in SmartDataCollective: “Cities around the globe are confronted with growing populations, aging infrastructure, reduced budgets, and the challenge of doing more with less. Applying big data technologies within cities can provide valuable insights that can keep a city habitable. The City of Songdo is a great example of a connected city, where all connected devices create a smart city that is optimized for the every-changing conditions in that same city. IBM recently released an infographic showing the vast opportunities of smart cities and the possible effects on the economy.”
Infographic Smarter Cities. Turning Big Data into Insight

AskThem

Curated on Posted on by Stefaan Verhulst

“AskThem is a project of the Participatory Politics Foundation, a 501(c)3 non-profit organization with a mission to increase civic engagement. AskThem is supported by a charitable grant from the Knight Foundation’s Tech For Engagement initiative.
AskThem is a free & open-source website for questions-and-answers with public figures. It’s a not-for-profit tool for a stronger democracy, with open data for informed and engaged communities.
AskThem allows you to:

  • Find and ask questions to over 142,000 elected officials nationwide: federal, state and city levels of government.
  • Get signatures for your question or petition, have it delivered over email or Twitter, and push for a public response.
  • See questions from people near you, sign-on to questions you care about, and review answers from public figures.

It’s like a version of “We The People” for every elected official, from local city council members all the way up to U.S. senators. Enter your email above to be the first to ask a question when we launch and see previews of the site this Fall.
Elected officials: enter your email above and we’ll send you more information about signing up to answer questions on AskThem. It’s a free and non-partisan service to respond to your constituents in an open public forum and update them over email about your work. Or, be a leader in open-government and sign up now.
Issue-based organizations and media: sign up to help promote questions to government from people in your area. We’re working to launch with partnerships that build greater public accountability.
Previously known as the OpenGovernment.org project, AskThem is open-source and uses open government data – our code is available on GitHub – contributions welcome. For more development updates & discussion, join our low-traffic Google Group.
We’re a small non-profit organization actively seeking charitable funding support – help us launch this powerful new tool for public dialogue! Email us for a copy of our non-profit funding prospectus. If you can make a tax-exempt gift to support our work, please donate to PPF via OpenCongress. More background on the project is available on our Knight NewsChallenge proposal from March 2013.
Questions, feedback, ideas? Email David Moore, Executive Director of PPF – david at ppolitics.org, Twitter: @ppolitics; like our page on Facebook & follow @AskThemPPF on Twitter. Stay tuned!”

The Brave New World of Good

Curated on Posted on by Stefaan Verhulst

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

Curated on Posted on by Stefaan Verhulst
“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.”

The Value of Personal Data

Curated on Posted on by Stefaan Verhulst

The Digital Enlightenment Yearbook 2013 is dedicated this year to Personal Data:  “The value of personal data has traditionally been understood in ethical terms as a safeguard for personality rights such as human dignity and privacy. However, we have entered an era where personal data are mined, traded and monetized in the process of creating added value – often in terms of free services including efficient search, support for social networking and personalized communications. This volume investigates whether the economic value of personal data can be realized without compromising privacy, fairness and contextual integrity. It brings scholars and scientists from the disciplines of computer science, law and social science together with policymakers, engineers and entrepreneurs with practical experience of implementing personal data management.
The resulting collection will be of interest to anyone concerned about privacy in our digital age, especially those working in the field of personal information management, whether academics, policymakers, or those working in the private sector.”

Using Big Data to Ask Big Questions

Curated on Posted on by Stefaan Verhulst

Chase Davis in the SOURCE: “First, let’s dispense with the buzzwords. Big Data isn’t what you think it is: Every federal campaign contribution over the last 30-plus years amounts to several tens of millions of records. That’s not Big. Neither is a dataset of 50 million Medicare records. Or even 260 gigabytes of files related to offshore tax havens—at least not when Google counts its data in exabytes. No, the stuff we analyze in pursuit of journalism and app-building is downright tiny by comparison.
But you know what? That’s ok. Because while super-smart Silicon Valley PhDs are busy helping Facebook crunch through petabytes of user data, they’re also throwing off intellectual exhaust that we can benefit from in the journalism and civic data communities. Most notably: the ability to ask Big Questions.
Most of us who analyze public data for fun and profit are familiar with small questions. They’re focused, incisive, and often have the kind of black-and-white, definitive answers that end up in news stories: How much money did Barack Obama raise in 2012? Is the murder rate in my town going up or down?
Big Questions, on the other hand, are speculative, exploratory, and systemic. As the name implies, they are also answered at scale: Rather than distilling a small slice of a dataset into a concrete answer, Big Questions look at entire datasets and reveal small questions you wouldn’t have thought to ask.
Can we track individual campaign donor behavior over decades, and what does that tell us about their influence in politics? Which neighborhoods in my city are experiencing spikes in crime this week, and are police changing patrols accordingly?
Or, by way of example, how often do interest groups propose cookie-cutter bills in state legislatures?

Looking at Legislation

Even if you don’t follow politics, you probably won’t be shocked to learn that lawmakers don’t always write their own bills. In fact, interest groups sometimes write them word-for-word.
Sometimes those groups even try to push their bills in multiple states. The conservative American Legislative Exchange Council has gotten some press, but liberal groups, social and business interests, and even sororities and fraternities have done it too.
On its face, something about elected officials signing their names to cookie-cutter bills runs head-first against people’s ideal of deliberative Democracy—hence, it tends to make news. Those can be great stories, but they’re often limited in scope to a particular bill, politician, or interest group. They’re based on small questions.
Data science lets us expand our scope. Rather than focusing on one bill, or one interest group, or one state, why not ask: How many model bills were introduced in all 50 states, period, by anyone, during the last legislative session? No matter what they’re about. No matter who introduced them. No matter where they were introduced.
Now that’s a Big Question. And with some basic data science, it’s not particularly hard to answer—at least at a superficial level.

Analyze All the Things!

Just for kicks, I tried building a system to answer this question earlier this year. It was intended as an example, so I tried to choose methods that would make intuitive sense. But it also makes liberal use of techniques applied often to Big Data analysis: k-means clustering, matrices, graphs, and the like.
If you want to follow along, the code is here….
To make exploration a little easier, my code represents similar bills in graph space, shown at the top of this article. Each dot (known as a node) represents a bill. And a line connecting two bills (known as an edge) means they were sufficiently similar, according to my criteria (a cosine similarity of 0.75 or above). Thrown into a visualization software like Gephi, it’s easy to click around the clusters and see what pops out. So what do we find?
There are 375 clusters in total. Because of the limitations of our data, many of them represent vague, subject-specific bills that just happen to have similar titles even though the legislation itself is probably very different (think things like “Budget Bill” and “Campaign Finance Reform”). This is where having full bill text would come handy.
But mixed in with those bills are a handful of interesting nuggets. Several bills that appear to be modeled after legislation by the National Conference of Insurance Legislators appear in multiple states, among them: a bill related to limited lines travel insurance; another related to unclaimed insurance benefits; and one related to certificates of insurance.”

The Shutdown’s Data Blackout

Curated on Posted on by Stefaan Verhulst

Opinion piece by Katherine G. Abraham and John Haltiwanger in The New York Times: “Today, for the first time since 1996 and only the second time in modern memory, the Bureau of Labor Statistics will not issue its monthly jobs report, as a result of the shutdown of nonessential government services. This raises an important question: Are the B.L.S. report and other economic data that the government provides “nonessential”?

If we’re trying to understand how much damage the shutdown or sequestration cuts are doing to jobs or the fragile economic recovery, they are definitely essential. Without robust economic data from the federal government, we can speculate, but we won’t really know.

In the last two shutdowns, in 1995 and 1996, the Congressional Budget Office estimated the economic damage at around 0.5 percent of the gross domestic product. This time, Moody’s estimates that a three-to-four-week shutdown might subtract 1.4 percent (annualized) from gross domestic product growth this quarter and take $55 billion out of the economy. Democrats tend to play up such projections; Republicans tend to play them down. If the shutdown continues, though, we’ll all be less able to tell what impact it is having, because more reports like the B.L.S. jobs report will be delayed, while others may never be issued.

In fact, sequestration cuts that affected 2013 budgets are already leading federal statistics agencies to defer or discontinue dozens of reports on everything from income to overseas labor costs. The economic data these agencies produce are key to tracking G.D.P., earnings and jobs, and to informing the Federal Reserve, the executive branch and Congress on the state of the economy and the impact of economic policies. The data are also critical for decisions made by state and local policy makers, businesses and households.

The combined budget for all the federal statistics agencies totals less than 0.1 percent of the federal budget. Yet the same across-the-board-cut mentality that led to sequester and shutdown has shortsightedly cut statistics agencies, too, as if there were something “nonessential” about spending money on accurately assessing the economic effects of government actions and inactions. As a result, as we move through the shutdown, the debt-ceiling fight and beyond, reliable, essential data on the impact of policy decisions will be harder to come by.

Unless the sequester cuts are reversed, funding for economic data will shrink further in 2014, on top of a string of lean budget years. More data reports will be eliminated at the B.L.S., the Census Bureau, the Bureau of Economic Analysis and other agencies. Even more insidious damage will come from compromising the methods for producing the reports that still are paid for and from failing to prepare for the future.

To save money, survey sample sizes will be cut, reducing the reliability of national data and undermining local statistics. Fewer resources will be devoted to maintaining the listings used to draw business survey samples, running the risk that surveys based on those listings won’t do as good a job of capturing actual economic conditions. Hiring and training will be curtailed. Over time, the availability and quality of economic indicators will diminish.

That would be especially paradoxical and backward at a time when economic statistics can and should be advancing through technological innovation instead of marched backward by politics. Integrating survey data, administrative data and commercial data collected with scanners and other digital technologies could produce richer, more useful information with less of a burden on businesses and households.

Now more than ever, framing sound economic policy depends on timely and accurate information about the economy. Bad or ill-targeted data can lead to bad or ill-targeted decisions about taxes and spending. The tighter the budget and the more contentious the political debate around it, the more compelling the argument for investing in federal data that accurately show how government policies are affecting the economy, so we can target the most effective cuts or spending or other policies, and make ourselves accountable for their results. That’s why Congress should restore funding to the federal statistical agencies at a level that allows them to carry out their critical work.”

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

Curated on Posted on by Stefaan Verhulst
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.”

Technology Can Expose Government Sins, But You Need Humans to Fix Them

Curated on Posted on by Stefaan Verhulst

Lorelei Kelly: “We can’t bring accountability to the NSA unless we figure out how to give the whole legislative branch modern methods for policy oversight. Those modern methods can include technology, but the primary requirement is figuring out how to supply Congress with unbiased subject matter experts—not just industry lobbyists or partisan think tank analysts. Why? Because trusted and available expertise inside the process of policymaking is what is missing today.
According to calculations by the Sunlight Foundation, today’s Congress is operating with about 40 percent less staff than in 1979. According to the Congressional Management Foundation, it’s also contending with at least 800 percent more incoming communications. Yet, instead of helping Congress gain insight in new ways, instead of helping it sort and filter, curate and authenticate, technology has mostly created disorganized information overload. And the information Congress receives is often sentiment, not substance. Elected leaders should pay attention to both, but need the latter for policymaking.
The result? Congress defaults to what it knows. And that means slapping a “national security” label on policy questions that instead deserve to be treated as broad public conversations about the evolution of American democracy. This is a Congress that categorizes questions about our freedoms on the Internet as “cyber security.”
What can we do? First, recognize that Congress is an obsolete and incapacitated system, and treat it as such. Technology and transparency can help modernize our legislature, but they can’t fix the system of governance.
Activists, even tech-savvy ones, need to talk directly with Congressional members and staff at home. Hackers, you should invite your representatives to wherever you do your hacking. And then offer your skills to help them in any way possible. You may create some great data maps and visualization tools, but the real point is to make friends in Congress. There’s no substitute for repeated conversations, and long-haul engagement. In politics, relationships will leverage the technology. All technology can do is help you find one another.
Without our help and our knowledge, our elected leaders and governing institutions won’t have the bandwidth to cope with our complex world. This will be a steep climb. But, like nearly every good outcome in politics, the climb starts with an outstretched hand, not one that’s poised at a keyboard, ready to tweet.”