New paper by Gianluca Sgueo presented at Democracy and Technology – Europe in Tension from the 19th to the 21th Century – Sorbonne Paris, 2013: “This paper focuses on the initiative named “Dialogue With Citizens” that the Italian Government introduced in 2012. The Dialogue was an entirely web-based experiment of participatory democracy aimed at, first, informing citizens through documents and in-depth analysis and, second, designed for answering to their questions and requests. During the year and half of life of the initiative roughly 90.000 people wrote (approximately 5000 messages/month). Additionally, almost 200.000 participated in a number of public online consultations that the government launched in concomitance with the adoption of crucial decisions (i.e. the spending review national program).
From the analysis of this experiment of participatory democracy three questions can be raised. (1) How can a public institution maximize the profits of participation and minimize its costs? (2) How can public administrations manage the (growing) expectations of the citizens once they become accustomed to participation? (3) Is online participatory democracy going to develop further, and why?
In order to fully answer such questions, the paper proceeds as follows: it will initially provide a general overview of online public participation both at the central and the local level. It will then discuss the “Dialogue with Citizens” and a selected number of online public consultations lead by the Italian government in 2012. The conclusions will develop a theoretical framework for reflection on the peculiarities and problems of the web-participation.”
Mobile phone data are a treasure-trove for development
Paul van der Boor and Amy Wesolowski in SciDevNet: “Each of us generates streams of digital information — a digital ‘exhaust trail’ that provides real-time information to guide decisions that affect our lives. For example, Google informs us about traffic by using both its ‘My Location’ feature on mobile phones and third-party databases to aggregate location data. BBVA, one of Spain’s largest banks, analyses transactions such as credit card payments as well as ATM withdrawals to find out when and where peak spending occurs.This type of data harvest is of great value. But, often, there is so much data that its owners lack the know-how to process it and fail to realise its potential value to policymakers.
Meanwhile, many countries, particularly in the developing world, have a dearth of information. In resource-poor nations, the public sector often lives in an analogue world where piles of paper impede operations and policymakers are hindered by uncertainty about their own strengths and capabilities.Nonetheless, mobile phones have quickly pervaded the lives of even the poorest: 75 per cent of the world’s 5.5 billion mobile subscriptions are in emerging markets. These people are also generating digital trails of anything from their movements to mobile phone top-up patterns. It may seem that putting this information to use would take vast analytical capacity. But using relatively simple methods, researchers can analyse existing mobile phone data, especially in poor countries, to improve decision-making.
Think of existing, available data as low-hanging fruit that we — two graduate students — could analyse in less than a month. This is not a test of data-scientist prowess, but more a way of saying that anyone could do it.
There are three areas that should be ‘low-hanging fruit’ in terms of their potential to dramatically improve decision-making in information-poor countries: coupling healthcare data with mobile phone data to predict disease outbreaks; using mobile phone money transactions and top-up data to assess economic growth; and predicting travel patterns after a natural disaster using historical movement patterns from mobile phone data to design robust response programmes.
Another possibility is using call-data records to analyse urban movement to identify traffic congestion points. Nationally, this can be used to prioritise infrastructure projects such as road expansion and bridge building.
The information that these analyses could provide would be lifesaving — not just informative or revenue-increasing, like much of this work currently performed in developed countries.
But some work of high social value is being done. For example, different teams of European and US researchers are trying to estimate the links between mobile phone use and regional economic development. They are using various techniques, such as merging night-time satellite imagery from NASA with mobile phone data to create behavioural fingerprints. They have found that this may be a cost-effective way to understand a country’s economic activity and, potentially, guide government spending.
Another example is given by researchers (including one of this article’s authors) who have analysed call-data records from subscribers in Kenya to understand malaria transmission within the country and design better strategies for its elimination. [1]
In this study, published in Science, the location data of the mobile phones of more than 14 million Kenyan subscribers was combined with national malaria prevalence data. After identifying the sources and sinks of malaria parasites and overlaying these with phone movements, analysis was used to identify likely transmission corridors. UK scientists later used similar methods to create different epidemic scenarios for the Côte d’Ivoire.”
5 Ways Cities Are Using Big Data
Eric Larson in Mashable: “New York City released more than 200 high-value data sets to the public on Monday — a way, in part, to provide more content for open-sourced mapping projects like OpenStreetMap.
It’s one of the many releases since the Local Law 11 of 2012 passed in February, which calls for more transparency of the city government’s collected data.
But it’s not just New York: Cities across the world, large and small, are utilizing big data sets — like traffic statistics, energy consumption rates and GPS mapping — to launch projects to help their respective communities.
We rounded up a few of our favorites below….
1. Seattle’s Power Consumption
The city of Seattle recently partnered with Microsoft and Accenture on a pilot project to reduce the area’s energy usage. Using Microsoft’s Azure cloud, the project will collect and analyze hundreds of data sets collected from four downtown buildings’ management systems.
With predictive analytics, then, the system will work to find out what’s working and what’s not — i.e. where energy can be used less, or not at all. The goal is to reduce power usage by 25%.
2. SpotHero
Finding parking spots — especially in big cities — is undoubtably a headache.
SpotHero is an app, for both iOS and Android devices, that tracks down parking spots in a select number of cities. How it works: Users type in an address or neighborhood (say, Adams Morgan in Washington, D.C.) and are taken to a listing of available garages and lots nearby — complete with prices and time durations.
The app tracks availability in real-time, too, so a spot is updated in the system as soon as it’s snagged.
Seven cities are currently synced with the app: Washington, D.C., New York, Chicago, Baltimore, Boston, Milwaukee and Newark, N.J.
3. Adopt-a-Hydrant
Anyone who’s spent a winter in Boston will agree: it snows.
In January, the city’s Office of New Urban Mechanics released an app called Adopt-a-Hydrant. The program is mapped with every fire hydrant in the city proper — more than 13,000, according to a Harvard blog post — and lets residents pledge to shovel out one, or as many as they choose, in the almost inevitable event of a blizzard.
Once a pledge is made, volunteers receive a notification if their hydrant — or hydrants — become buried in snow.
4. Adopt-a-Sidewalk
Similar to Adopt-a-Hydrant, Chicago’s Adopt-a-Sidewalk app lets residents of the Windy City pledge to shovel sidewalks after snowfall. In a city just as notorious for snowstorms as Boston, it’s an effective way to ensure public spaces remain free of snow and ice — especially spaces belonging to the elderly or disabled.
If you’re unsure which part of town you’d like to “adopt,” just register on the website and browse the map — you’ll receive a pop-up notification for each street you swipe that’s still available.
5. Less Congestion for Lyon
Last year, researchers at IBM teamed up with the city of Lyon, France (about four hours south of Paris), to build a system that helps traffic operators reduce congestion on the road.
The system, called the “Decision Support System Optimizer (DSSO),” uses real-time traffic reports to detect and predict congestions. If an operator sees that a traffic jam is likely to occur, then, she/he can adjust traffic signals accordingly to keep the flow of cars moving smoothly.
It’s an especially helpful tool for emergencies — say, when an ambulance is en route to the hospital. Over time, the algorithms in the system will “learn” from its most successful recommendations, then apply that knowledge when making future predictions.”
UK: Good law
“The good law initiative is an appeal to everyone interested in the making and publishing of law to come together with a shared objective of making legislation work well for the users of today and tomorrow…People find legislation difficult. The volume of statutes and regulations, their piecemeal structure, and their level of detail and frequent amendments, make legislation hard to understand and difficult to comply with. That can hinder economic activity. It can create burdens for businesses and communities. It can obstruct good government, and it can undermine the rule of law…
Good law is not a checklist, or a call for more process. It straddles four areas that have traditionally been regarded as separate domains. We think that they are inter-connected, and we invite good law partners to consider each of them from the different perspectives of citizens, professional users and legislators.
- the government’s commitment to openness and transparency
- the government’s digital strategy
- the Red Tape Challenge
- work on behavioural insight, and alternatives to legislation
- the drive to reduce public sector burdens and promote efficiency”
Participatory Budgeting Around the World
Jay Colburn, from the International Budget Partnership: “Public participation in budget decision making can occur in many different forms. Participatory budgeting (PB) is an increasingly popular process in which the public is involved directly in making budgetary decisions, most often at the local level. The involvement of community members usually includes identifying and prioritizing the community’s needs and then voting on spending for specific projects.
PB was first developed in Porto Alegre, Brazil, in 1989 as an innovative reform to address the city’s severe inequality. Since then it has spread around the world. Though the specifics of how the PB process works varies depending on the context in which it is implemented, most PB processes have four basic similarities: 1) community members identify spending ideas; 2) delegates are selected to develop spending proposals based on those ideas; 3) residents vote on which proposals to fund; and 4) the government implements the chosen proposals.
During the 1990s PB spread throughout Brazil and across Latin America. Examples of participatory budgeting can now be found in every region of the world, including Central Asia, Europe, and the Middle East. As the use of PB has expanded, it has been adapted in many ways. One example is to incorporate new information and communication technologies as a way to broaden opportunities for participation (see Using Technology to Improve Transparency and Citizen Engagement in this newsletter for more on this topic.)…
There are also a number of different models of PB that have been developed, each with slightly different rules and processes. Using the different models and methods has expanded our knowledge on the potential impacts of PB. In addition to having demonstrable and measurable results on mobilizing public funds for services for the poor, participatory budgeting has also been linked to greater tax compliance, increased demands for transparency, and greater access to budget information and oversight.
However, not all instances of PB are equally successful; there are many variables to consider when weighing the impact of different cases. These can include the level and mechanisms of participation, information accessibility, knowledge of opportunities to participate, political context, and prevailing socioeconomic factors. There is a large and growing literature on the benefits and challenges of PB. The IBP Open Budgets Blog recently featured posts on participatory budgeting initiatives in Peru, Kyrgyzstan, and Kenya. While there are still many lessons to be learned about how PB can be used in different contexts, it is certainly a positive step toward increased citizen engagement in the budget process and influence over how public funds are spent.
For more information and resources on PB, visit the participatory budgeting Facebook group”
San Francisco To Test Online Participatory Budgeting
Crunch.gov: “Taxpayers are sometimes the best people to decide how their money gets spent — sounds obvious, but usually we don’t have a direct say beyond who we elect. That’s changing for San Francisco residents.
It intends to be the first major US city to allow citizens to directly vote on portions of budget via the web. While details are still coming together, its plan is for each city district to vote on $100,000 in expenditures. Citizens will get to choose how the money is spent from a list of options, similar to the way they already vote from a list of ballot propositions. Topical experts will help San Francisco residents deliberate online.
So-called “participatory budgeting” first began in the festival city of Porto Alegre, Brazil, in 1989, and has slowly been expanding throughout the world. While major cities, such as Chicago and New York, have piloted participatory budgeting, they have not incorporated the modern features of digital voting and deliberation that are currently utilized in Brazil.
According to participatory budgeting expert and former White House technology fellow, Hollie Russon Gilman, San Francisco’s experiment will mark a “frontier” in American direct democracy.
This is significant because the Internet engenders a different type of democracy: not one of mere expression, but one of ideas. The net is good at surfacing the best ideas hidden within the wisdom of the crowds. Modern political scientists refer to this as “Epistemic Democracy,” derived from the Greek word for knowledge, epistēmē. Epistemic Democracy values citizens most for their expertise and builds tools to make policy making more informed.
For example, participatory budgeting has been found to reduce infant mortality rates in Brazil. It turns out that the mothers in Brazil had a better knowledge of why children were dying than health experts. Through participatory budgeting, they “channeled a larger fraction of their total budget to key investments in sanitation and health services,” writes Sonia Goncalves of King’s College London. “I also found that this change in the composition of municipal expenditures is associated with a pronounced reduction in the infant mortality rates for municipalities which adopted participatory budgeting.” [PDF]”
Open Access
Reports by the UK’s House of Commons, Business, Innovation and Skills Committee: “Open access refers to the immediate, online availability of peer reviewed research articles, free at the point of access (i.e. without subscription charges or paywalls). Open access relates to scholarly articles and related outputs. Open data (which is a separate area of Government policy and outside the scope of this inquiry) refers to the availability of the underlying research data itself. At the heart of the open access movement is the principle that publicly funded research should be publicly accessible. Open access expanded rapidly in the late twentieth century with the growth of the internet and digitisation (the transcription of data into a digital form), as it became possible to disseminate research findings more widely, quickly and cheaply.
Whilst there is widespread agreement that the transition to open access is essential in order to improve access to knowledge, there is a lack of consensus about the best route to achieve it. To achieve open access at scale in the UK, there will need to be a shift away from the dominant subscription-based business model. Inevitably, this will involve a transitional period and considerable change within the scholarly publishing market.
For the UK to transition to open access, an effective, functioning and competitive market in scholarly communications will be vital. The evidence we saw over the course of this inquiry shows that this is currently far from the case, with journal subscription prices rising at rates that are unsustainable for UK universities and other subscribers. There is a significant risk that the Government’s current open access policy will inadvertently encourage and prolong the dysfunctional elements of the scholarly publishing market, which are a major barrier to access.
See Volume I and Volume II “
Visualizing the legislative process with Sankey diagrams
Kamil Gregor at OpeningParliament.org: “The process of shaping the law often resembles an Indiana Jones maze. Bills and amendments run through an elaborate system of committees, sessions and hearings filled with booby traps before finally reaching the golden idol of a final approval.
Parliamentary monitoring organizations and researchers are often interested in how various pieces of legislation survive in this environment and what are the strategies to either kill or aid them. This specifically means answering two questions: What is the probability of a bill being approved and what factors determine this probability?
The legislative process is usually hierarchical: Successful completion of a step in the process is conditioned by completion of all previous steps. Therefore, we may also want to know the probabilities of completion in each consecutive step and their determinants.
A simple way how to give a satisfying answer to these questions without wandering into the land of nonlinear logistic regressions is the Sankey diagram. It is a famous flow chart in which a process is visualized using arrows. Relative quantities of outcomes in the process are represented by arrows’ widths.
A famous example is a Sankey diagram of Napoleon’s invasion of Russia. We can clearly see how the Grand Army was gradually shrinking as French soldiers were dying or defecting. Another well-known example is the Google Analytics flow chart. It shows how many visitors enter a webpage and then either leave or continue to a different page on the same website. As the number of consecutive steps increases, the number of visitors remaining on the website decreases.
The legislative process can be visualized in the same way. Progress of bills is represented by a stream between various steps in the process and width of the stream corresponds to quantities of bills. A bill can either complete all the steps of the process, or it can “drop out” of it at some point if it gets rejected.
Let’s take a look…”
Open data for accountable governance: Is data literacy the key to citizen engagement?
Camilla Monckton at UNDP’s Voices of Eurasia blog: “How can technology connect citizens with governments, and how can we foster, harness, and sustain the citizen engagement that is so essential to anti-corruption efforts?
UNDP has worked on a number of projects that use technology to make it easier for citizens to report corruption to authorities:
- Serbia’s SMS corruption reporting in the health sector
- Montenegro’s ‘be responsible app’
- Kosovo’s online corruption reporting site kallxo.com
These projects are showing some promising results, and provide insights into how a more participatory, interactive government could develop.
At the heart of the projects is the ability to use citizen generated data to identify and report problems for governments to address….
Wanted: Citizen experts
As Kenneth Cukier, The Economist’s Data Editor, has discussed, data literacy will become the new computer literacy. Big data is still nascent and it is impossible to predict exactly how it will affect society as a whole. What we do know is that it is here to stay and data literacy will be integral to our lives.
It is essential that we understand how to interact with big data and the possibilities it holds.
Data literacy needs to be integrated into the education system. Educating non-experts to analyze data is critical to enabling broad participation in this new data age.
As technology advances, key government functions become automated, and government data sharing increases, newer ways for citizens to engage will multiply.
Technology changes rapidly, but the human mind and societal habits cannot. After years of closed government and bureaucratic inefficiency, adaptation of a new approach to governance will take time and education.
We need to bring up a generation that sees being involved in government decisions as normal, and that views participatory government as a right, not an ‘innovative’ service extended by governments.
What now?
In the meantime, while data literacy lies in the hands of a few, we must continue to connect those who have the technological skills with citizen experts seeking to change their communities for the better – as has been done in many a Social Innovation Camps recently (in Montenegro, Ukraine and Armenia at Mardamej and Mardamej Relaoded and across the region at Hurilab).
The social innovation camp and hackathon models are an increasingly debated topic (covered by Susannah Vila, David Eaves, Alex Howard and Clay Johnson).
On the whole, evaluations are leading to newer models that focus on greater integration of mentorship to increase sustainability – which I readily support. However, I do have one comment:
Social innovation camps are often criticized for a lack of sustainability – a claim based on the limited number of apps that go beyond the prototype phase. I find a certain sense of irony in this, for isn’t this what innovation is about: Opening oneself up to the risk of failure in the hope of striking something great?
In the words of Vinod Khosla:
“No failure means no risk, which means nothing new.”
As more data is released, the opportunity for new apps and new ways for citizen interaction will multiply and, who knows, someone might come along and transform government just as TripAdvisor transformed the travel industry.”
Smaller, Better, Faster, Stronger: Remaking government for the digital age
New Report by PolicyExchange (UK): “The government could save as much as £70 billion by 2020 if it adopted plans to eliminate paper and digitise its activities, work smarter with fewer staff in Whitehall, shop around for the best procurement deals, and accelerate the use of data and analytics.
Smaller, Better, Faster, Stronger shows how the government is wasting billions of pounds by relying on paper based public services. The Crown Prosecution Service prints one million sheets of paper every day while two articulated trucks loaded with letters and paper work pull into the Driving and Vehicle Licensing Authority (DVLA) every day. In order to complete a passport application form online, the Passport Office will print the form out and post it back for the individual to sign and send back.
In the near future, everything the government does should be online, unless a face-to-face interaction is essential. The UK is already nation of internet users with nearly 6 in 10 people accessing the internet via a smartphone. People expect even simple government services like tax returns or driving licences to be online. Fully transforming government with digital technologies could help close the gap between productivity in the public and private sectors.
The report also calls for stronger digital and data skills in Whitehall, making the point that senior officials will make or break this agenda by the interest they take in digital and their willingness to keep up with the times.”