Nine Lessons for Bridging the Gap between Cities and Citizens


Soren Gigler at the Worldbank Blog: “…Moving towards a citizen-centered model of government is critical for achieving better results. 
But what does this mean in praxis? What are some of the bottlenecks and pitfalls of such an approach?
Here are nine lessons learned from our work on Open Government and Citizen Engagement programs around the world.

  1. Open Government is more than just making Government more open and transparent. It is about rebalancing the “governance” and power structure between government institutions, civil society, the private sector and citizens.
  2. Openness and accountability of government is the basis for building a relationship of trust for effective civic participation. It can fundamentally alter the relationship between government and citizens.
  3. Open Government programs are not effective if they are not embedded into a much broader institutional and cultural changes within government and fully integrated into the governments overall economic and social development goals.
  4. New technologies can be powerful enablers to strengthen existing transparency and social accountability mechanisms that empower citizens and traditionally excluded groups. Technologies by themselves, however, are not transformational; they need to be closely embedded into the different local socio-political context and amplify existing social accountability and governance processes.
  5. Enhancing the capabilities of the urban poor, youth and minorities to engage in policy debates is equally important as strengthening the capacity of government institutions to effectively respond to citizen engagement.
  6. Effective Open Government programs not only enhance the openness and responsiveness of governments however also fosters the inclusiveness of institutions.
  7. It’s critical to recognize that Open Government initiatives are not just about learning how to better listen to citizens. It’s also about how to become more responsive to them and their expressed needs.
  8. Civil society plays a central role in enhancing government accountability. They can form effective bridges between government and citizens. Improved government openness does not translate automatically into the effective uses of information by citizens. CSOs are critical ‘infomediaries’ that can strengthen the capabilities of poor communities to better access information, evaluate and act upon the provided information.
  9.  A genuine process of political and institutional reforms can grow out of an effective alliance between reform-minded policymakers, civil society and private sector leaders. Thus, open governance reforms need to be driven by the local socio-economic, political and cultural context….”

USAID establishes its first open data policy


Billy Mitchell at FedScoop: “The U.S. Agency for International Development jumped on the open data wave last week, announcing its first-ever policy to share its data sets and tools with the public on a central repository.

Referred to as Automated Directives System 579, the open data policy is a hat tip to President Barack Obama’s directive on transparency and open government five years ago and comes after the agency’s Frontiers in Development Forum in September addressing pathways for innovation for its mission to provide support to impoverished countries. With the new policy, USAID will provide a framework to open its agency-funded data to the public and publish it in a central location, making it easy to consume and use.
“USAID has long been a data-driven and evidence-based Agency, but never has the need been greater to share our data with a diverse set of partners—including the general public—to improve development outcomes,” wrote Angelique Crumbly, USAID’s performance improvement officer, and Brandon Pustejovsky, chief data officer for USAID, in a blog post. “For the first time in history, we have the tools, technologies and approaches to end extreme poverty within two decades. And while many of these new innovations were featured at our recent Frontiers in Development Forum, we also recognize that they largely rely on an ongoing stream of data (and new insights generated by that data) to ensure their appropriate application.”…

USAID’s DDL and open data will be hosted on the USAID website, where there’s already a long list of databases hosted. USAID also started a GitHub page for any feedback on the data”

The New We the People Write API, and What It Means for You


White House Blog by Leigh Heyman: “The White House petitions platform, We the People, just became more accessible and open than ever before. We are very excited to announce the launch of the “write” version of the Petitions Application Programming Interface, or “API.”
Starting today, people can sign We the People petitions even when they’re not on WhiteHouse.gov. Now, users can also use third-party platforms, including other petitions services, or even their own websites or blogs. All of those signatures, once validated, will count towards a petition’s objective of meeting the 100,000-signature threshold needed for an official White House response.
We the People started with a simple goal: to give more Americans a way to reach their government. To date, the platform has been more successful than we could have imagined, with more than 16 million users creating and signing more than 360,000 petitions.
We launched our Write API beta test last year, and since then we’ve been hard at work, both internally and in collaboration with our beta test participants. Last spring, as part of the National Day of Civic Hacking, we hosted a hackathon right here at the White House, where our engineers spent a day sitting side-by-side with our beta testers to help get our code and theirs ready for the big day.
That big day has finally come.
Click here if you want to get started right away, or read on to learn more about the Petitions Write API….”

The Role Of Open Data In Choosing Neighborhood


PlaceILive Blog: “To what extent is it important to get familiar with our environment?
If we think about how the world surrounding us has changed throughout the years, it is not so unreasonable that, while walking to work, we might encounter some new little shops, restaurants, or gas stations we had never noticed before. Likewise, how many times did we wander about for hours just to find green spaces for a run? And the only one we noticed was even more polluted than other urban areas!
Citizens are not always properly informed about the evolution of the places they live in. And that is why it would be crucial for people to be constantly up-to-date with accurate information of the neighborhood they have chosen or are going to choose.
London is a neat evidence of how transparency in providing data is basic in order to succeed as a Smart City.
The GLA’s London Datastore, for instance, is a public platform of datasets revealing updated figures on the main services offered by the town, in addition to population’s lifestyle and environmental risks. These data are then made more easily accessible to the community through the London Dashboard.
The importance of dispensing free information can be also proved by the integration of maps, which constitute an efficient means of geolocation. Consulting a map where it’s easy to find all the services you need as close as possible can be significant in the search for a location.
Wheel 435
(source: Smart London Plan)
The Open Data Index, published by The Open Knowledge Foundation in 2013, is another useful tool for data retrieval: it showcases a rank of different countries in the world with scores based on openness and availability of data attributes such as transport timetables and national statistics.
Here it is possible to check UK Open Data Census and US City Open Data Census.
As it was stated, making open data available and easily findable online not only represented a success for US cities but favoured apps makers and civic hackers too. Lauren Reid, a spokesperson at Code for America, reported according to Government Technology: “The more data we have, the better picture we have of the open data landscape.”
That is, on the whole, what Place I Live puts the biggest effort into: fostering a new awareness of the environment by providing free information, in order to support citizens willing to choose the best place they can live.
The outcome is soon explained. The website’s homepage offers visitors the chance to type address of their interest, displaying an overview of neighborhood parameters’ evaluation and a Life Quality Index calculated for every point on the map.
The research of the nearest medical institutions, schools or ATMs thus gets immediate and clear, as well as the survey about community’s generic information. Moreover, data’s reliability and accessibility are constantly examined by a strong team of professionals with high competence in data analysis, mapping, IT architecture and global markets.
For the moment the company’s work is focused on London, Berlin, Chicago, San Francisco and New York, while higher goals to reach include more than 200 cities.
US Open Data Census finally saw San Francisco’s highest score achievement as a proof of the city’s labour in putting technological expertise at everyone’s disposal, along with the task of fulfilling users’ needs through meticulous selections of datasets. This challenge seems to be successfully overcome by San Francisco’s new investment, partnering with the University of Chicago, in a data analytics dashboard on sustainability performance statistics named Sustainable Systems Framework, which is expected to be released in beta version by the the end of 2015’s first quarter.
 
Another remarkable collaboration in Open Data’s spread comes from the Bartlett Centre for Advanced Spatial Analysis (CASA) of the University College London (UCL); Oliver O’Brien, researcher at UCL Department of Geography and software developer at the CASA, is indeed one of the contributors to this cause.
Among his products, an interesting accomplishment is London’s CityDashboard, a real-time reports’ control panel in terms of spatial data. The web page also allows to visualize the whole data translated into a simplified map and to look at other UK cities’ dashboards.
Plus, his Bike Share Map is a live global view to bicycle sharing systems in over a hundred towns around the world, since bike sharing has recently drawn a greater public attention as an original form of transportation, in Europe and China above all….”

Big Thinkers. Big Data. Big Opportunity: Announcing The LinkedIn Economic Graph Challeng


at Linkedin Official Blog: “LinkedIn’s vision is to create economic opportunity for every member of the global workforce. Facilitating economic empowerment is a big task that will require bold thinking by smart, passionate individuals and groups. Today, we’re kicking off an initiative that aims to encourage this type of big thinking: the LinkedIn Economic Graph Challenge.
The LinkedIn Economic Graph Challenge is an idea that emerged from the development of the Economic Graph, a digital mapping of the global economy, comprised of a profile for every professional, company, job opportunity, the skills required to obtain those opportunities, every higher education organization, and all the professionally relevant knowledge associated with each of these entities. With these elements in place, we can connect talent with opportunity at massive scale.
We are launching the LinkedIn Economic Graph Challenge to encourage researchers, academics, and data-driven thinkers to propose how they would use data from LinkedIn to solve some of the most challenging economic problems of our times. We invite anyone who is interested to submit your most innovative, ambitious ideas. In return, we will recognize the three strongest proposals for using data from LinkedIn to generate a positive impact on the global economy, and present the team and/or individual with a $25,000 (USD) research award and the resources to complete their proposed research, with the potential to have it published….
We look forward to your submissions! For more information, please visit the LinkedIn Economic Graph Challenge website….”

Brazilian Government Develops Toolkit to Guide Institutions in both Planning and Carrying Out Open Data Initatives


Nitai Silva at the Open Knowledge Blog: “Recently Brazilian government released the Kit de Dados Abertos (open data toolkit). The toolkit is made up of documents describing the process, methods and techniques for implementing an open data policy within an institution. Its goal is to both demystify the logic of opening up data and to share with public employees observed best practices that have emerged from a number of Brazilian government initiatives.

The toolkit focuses on the Plano de Dados Abertos – PDA (Open Data Plan) as the guiding instrument where commitments, agenda and policy implementation cycles in the institution are registered. We believe that making each public agency build it’s own PDA is a way to perpetuate the open data policy, making it a state policy and not just a transitory governmental action.
It is organized to facilitate the implementation of the main activities cycles that must be observed in an institution and provides links and manuals to assist in these activities. Emphasis is given to the actors/roles involved in each step and their responsibilities. It also helps to define a central person to monitor and maintain the PDA. The following diagram summarizes the macro steps of implementing an open data policy in an institution:
 

New Data for a New Energy Future


(This post originally appeared on the blog of the U.S. Chamber of Commerce Foundation.)

Two growing concerns—climate change and U.S. energy self-sufficiency—have accelerated the search for affordable, sustainable approaches to energy production and use. In this area, as in many others, data-driven innovation is a key to progress. Data scientists are working to help improve energy efficiency and make new forms of energy more economically viable, and are building new, profitable businesses in the process.
In the same way that government data has been used by other kinds of new businesses, the Department of Energy is releasing data that can help energy innovators. At a recent “Energy Datapalooza” held by the department, John Podesta, counselor to the President, summed up the rationale: “Just as climate data will be central to helping communities prepare for climate change, energy data can help us reduce the harmful emissions that are driving climate change.” With electric power accounting for one-third of greenhouse gas emissions in the United States, the opportunities for improvement are great.
The GovLab has been studying the business applications of public government data, or “open data,” for the past year. The resulting study, the Open Data 500, now provides structured, searchable information on more than 500 companies that use open government data as a key business driver. A review of those results shows four major areas where open data is creating new business opportunities in energy and is likely to build many more in the near future.

Commercial building efficiency
Commercial buildings are major energy consumers, and energy costs are a significant business expense. Despite programs like LEED Certification, many commercial buildings waste large amounts of energy. Now a company called FirstFuel, based in Boston, is using open data to drive energy efficiency in these buildings. At the Energy Datapalooza, Swap Shah, the company’s CEO, described how analyzing energy data together with geospatial, weather, and other open data can give a very accurate view of a building’s energy consumption and ways to reduce it. (Sometimes the solution is startlingly simple: According to Shah, the largest source of waste is running heating and cooling systems at the same time.) Other companies are taking on the same kind of task – like Lucid, which provides an operating system that can track a building’s energy use in an integrated way.

Home energy use
A number of companies are finding data-driven solutions for homeowners who want to save money by reducing their energy usage. A key to success is putting together measurements of energy use in the home with public data on energy efficiency solutions. PlotWatt, for example, promises to help consumers “save money with real-time energy tracking” through the data it provides. One of the best-known companies in this area, Opower, uses a psychological strategy: it simultaneously gives people access to their own energy data and lets them compare their energy use to their neighbors’ as an incentive to save. Opower partners with utilities to provide this information, and the Virginia-based company has been successful enough to open offices in San Francisco, London, and Singapore. Soon more and more people will have access to data on their home energy use: Green Button, a government-promoted program implemented by utilities, now gives about 100 million Americans data about their energy consumption.

Solar power and renewable energy
As solar power becomes more efficient and affordable, a number of companies are emerging to support this energy technology. Clean Power Finance, for example, uses its database to connect solar entrepreneurs with sources of capital. In a different way, a company called Solar Census is analyzing publicly available data to find exactly where solar power can be produced most efficiently. The kind of analysis that used to require an on-site survey over several days can now be done in less than a minute with their algorithms.
Other kinds of geospatial and weather data can support other forms of renewable energy. The data will make it easier to find good sites for wind power stations, water sources for small-scale hydroelectric projects, and the best opportunities to tap geothermal energy.

Supporting new energy-efficient vehicles
The Tesla and other electric vehicles are becoming commercially viable, and we will soon see even more efficient vehicles on the road. Toyota has announced that its first fuel-cell cars, which run on hydrogen, will be commercially available by mid-2015, and other auto manufacturers have announced plans to develop fuel-cell vehicles as well. But these vehicles can’t operate without a network to supply power, be it electricity for a Tesla battery or hydrogen for a fuel cell.
It’s a chicken-and-egg problem: People won’t buy large numbers of electric or fuel-cell cars unless they know they can power them, and power stations will be scarce until there are enough vehicles to support their business. Now some new companies are facilitating this transition by giving drivers data-driven tools to find and use the power sources they need. Recargo, for example, provides tools to help electric car owners find charging stations and operate their vehicles.
The development of new energy sources will involve solving social, political, economic, and technological issues. Data science can help develop solutions and bring us more quickly to a new kind of energy future.
Joel Gurin, senior advisor at the GovLab and project director, Open Data 500. He also currently serves as a fellow of the U.S. Chamber of Commerce Foundation.

Google’s Waze announces government data exchange program with 10 initial partners


Josh Ong at TheNextWeb blog: “Waze today announced “Connected Citizens,” a new government partnership program that will see both parties exchange data in order to improve traffic conditions.

For the program, Waze will provide real-time anonymized crowdsourced traffic data to government departments in exchange for information on public projects like construction, road sensors, and pre-planned road closures.

The first 10 partners include:

  • Rio de Janeiro, Brazil
  • Barcelona, Spain and the Government of Catalonia
  • Jakarta, Indonesia
  • Tel Aviv, Israel
  • San Jose, Costa Rica
  • Boston, USA
  • State of Florida, USA
  • State of Utah, USA
  • Los Angeles County
  • The New York Police Department (NYPD)

Waze has also signed on five other government partners and has received applications from more than 80 municipal groups. The company ran an initial pilot program in Rio de Janeiro where it partnered with the city’s traffic control center to supplement the department’s sensor data with reports from Waze users.

At an event celebrating the launch, Di-Ann Eisnor, head of Growth at Waze noted that the data exchange will only include public alerts, such as accidents and closures.

We don’t share anything beyond that, such as where individuals are located and who they are,” she said.

Eisnor also made it clear that Waze isn’t selling the data. GPS maker TomTom came under fire several years ago after customers learned that the company had sold their data to police departments to help find the best places to put speed traps.

“We keep [the data] clean by making sure we don’t have a business model around it,” Eisnor added.

Waze will requires that new Connected Citizens partners “prove their dedication to citizen engagement and commit to use Waze data to improve city efficiency.”…”

YouTube for Government


Brandon Feldman at Google Politics & Elections Blog: From live streams of the State of the Union and legislative hearings, to explainer videos on important issues and Hangouts with constituents, YouTube has become an important platform where citizens engage with their governments and elected officials.
In order to help government officials get a better idea of what YouTube can do, we are launching youtube.com/government101, a one-stop shop where government officials can learn how to get the most out of YouTube as a communication tool.

The site offers a broad range of YouTube advice, from the basics of creating a channel to in-depth guidance on features like live streaming, annotations, playlists and more. We’ve also featured case studies from government offices around the world that are using YouTube in innovative ways.
If you’re a government official, whether you are looking for an answer to a quick question or need a full training on YouTube best practices, we hope this resource will help you engage in a rich dialogue with your constituents and increase transparency within your community….”

Why we’re failing to get the most out of open data


Victoria Lemieux at the WEF Blog: “An unprecedented number of individuals and organizations are finding ways to explore, interpret and use Open Data. Public agencies are hosting Open Data events such as meetups, hackathons and data dives. The potential of these initiatives is great, including support for economic development (McKinsey, 2013), anti-corruption (European Public Sector Information Platform, 2014) and accountability (Open Government Partnership, 2012). But is Open Data’s full potential being realized?
news item from Computer Weekly casts doubt. A recent report notes that, in the United Kingdom, poor data quality is hindering the government’s Open Data program. The report goes on to explain that – in an effort to make the public sector more transparent and accountable – UK public bodies have been publishing spending records every month since November 2010. The authors of the report, who conducted an analysis of 50 spending-related data releases by the Cabinet Office since May 2010, found that that the data was of such poor quality that using it would require advanced computer skills.
Far from being a one-off problem, research suggests that this issue is ubiquitous and endemic. Some estimates indicate that as much as 80 percent of the time and cost of an analytics project is attributable to the need to clean up “dirty data” (Dasu and Johnson, 2003).
In addition to data quality issues, data provenance can be difficult to determine. Knowing where data originates and by what means it has been disclosed is key to being able to trust data. If end users do not trust data, they are unlikely to believe they can rely upon the information for accountability purposes. Establishing data provenance does not “spring full blown from the head of Zeus.” It entails a good deal of effort undertaking such activities as enriching data with metadata – data about data – such as the date of creation, the creator of the data, who has had access to the data over time and ensuring that both data and metadata remain unalterable.
Similarly, if people think that data could be tampered with, they are unlikely to place trust in it; full comprehension of data relies on the ability to trace its origins….”