Delhi trials participatory budget initiative


Medha Basu in FutureGov: “The Delhi government is running a participatory budget exercise to involve citizens in deciding priorities for the 2015 Budget.

The city government, which came into office in February, has set aside INR 5 million (US$78,598) for each neighbourhood and residents will decide what this money gets spent on.

The initiative, Janta Ka Budget (meaning ‘People’s Budget’), will be tested in 400 communities across the city, with the first one launched by Chief Minister Arvind Kejriwal last month.

….

Officials met with residents of the neighbourhood to hear what they would like to see improved in their area. Residents then voted in public meetings to decide the most popular ones.

Officials are expected to come up with cost estimates for the shortlisted projects within a week of the meeting and allocate money from the fund.

In the first session, the shortlisted projects were a library, dispensary, road repairs and CCTV cameras….(More)”

Worldwide accessibility map is crowdsourced by users


Springwise: “There are a growing number of apps such as Handimap and Blue Badge Style which offer city guides for users in wheelchairs — informing them which venues are accessible and which do not have disabled facilities. AXS Map does the same, but utilizes crowdsourced information to cover a much wider range of places and venues.

AXS Map is a free app, hailing from Canada, which aims to make the world a more accessible place for those with mobility problems. Users can access the platform via smartphone or desktop: they can browse any given area for accessible restaurants, shops, public restrooms or anything else via the searchable map. The database is made up of crowdsourced reviews submitted by the users themselves and includes ratings and information about entryways and restrooms.

The organization also host Mapathons, which aim to get new communities in towns and cities which are not yet covered involved: participants are encouraged to form teams and compete to see who can rate the most venues in a given area. Mapathons have taken place all over the USA and there are upcoming events in New York and Istanbul. Where should the AXS Mappers head next?” (More: AXS Map)

Moving Cities Beyond Performance Measurement


Pew Charitable Trust: “The recent explosion in the availability of data is changing the way Americans make decisions and do business in fields as diverse as sports, public health, shopping, and politics. The business of government is no exception. At the local level, new methods of collecting and analyzing information have varied and far-reaching effects on the ability of leaders to understand and work within their fiscal constraints and meet residents’ needs.

Local governments have used performance measurement—collecting and studying data with the aim of improving operating efficiency and effectiveness—for decades, but today’s cities have access to a wealth of other data. Those on the cutting edge are using these data with new analytical tools in innovative ways that often reach beyond the conventional definition of performance measurement. For example, theNew York City Fire Department compiles information from various city departments about building characteristics—such as construction material, fireproofing, height, date of construction, and last inspection date—to prioritize buildings for inspections.Boston uses a cellphone app, called Street Bump, to help detect potholes using the accelerometers built into cellphones.

What’s new, beyond the sheer volume of data, to help governments improve?

  • Local governments previously examined statistics only within individual departments. Today, they are gleaning new insights by combining data across agencies.
  • Government officials typically reviewed performance statistics only periodically—annually, semiannually, or quarterly. Now they often have access to usable data in real time, allowing them to be more responsive and efficient.
  • In the past, cities primarily used analytics to understand past events. Today, some are exploring predictive analytics, using data to anticipate occurrences and outcomes….(More)”

Data Fusion Heralds City Attractiveness Ranking


Emerging Technology From the arXiv: “The ability of any city to attract visitors is an important metric for town planners, businesses based on tourism, traffic planners, residents, and so on. And there are increasingly varied ways of measuring this thanks to the growing volumes of city-related data generated by with social media, and location-based data.

So it’s only natural that researchers would like to draw these data sets together to see what kind of insight they can get from this form of data fusion.

And so it has turned out thanks to the work of Stanislav Sobolevsky at MIT and a few buddies. These guys have fused three wildly different data sets related to the attractiveness of a city that allows them to rank these places and to understand why people visit them and what they do when they get there.

The work focuses exclusively on cities in Spain using data that is relatively straightforward to gather. The first data set consists of the number of credit and debit card transactions carried out by visitors to cities throughout Spain during 2011. This includes each card’s country of origin, which allows Sobolevsky and co to count only those transactions made by foreign visitors—a total of 17 million anonymized transactions from 8.6 million foreign visitors from 175 different countries.

The second data set consists of over 3.5 million photos and videos taken in Spain and posted to Flickr by people living in other countries. These pictures were taken between 2005 and 2014 by 16,000 visitors from 112 countries.

The last data set consists of around 700,000 geotagged tweets posted in Spain during 2012. These were posted by 16,000 foreign visitors from 112 countries.

Finally, the team defined a city’s attractiveness, at least for the purposes of this study, as the total number of pictures, tweets and card transactions that took place within it……

That’s interesting work that shows how the fusion of big data sets can provide insights into the way people use cities.   It has its limitations of course. The study does not address the reasons why people find cities attractive and what draws them there in the first place. For example, are they there for tourism, for business, or for some other reason. That would require more specialized data.

But it does provide a general picture of attractiveness that could be a start for more detailed analyses. As such, this work is just a small part of a new science of cities based on big data, but one that shows how much is becoming possible with just a little number crunching.

Ref: arxiv.org/abs/1504.06003 : Scaling of city attractiveness for foreign visitors through big data of human economic and social media activity”

Urban Data Games: creating smart citizens for smart cities


Paper by Wolff, Annika; Kortuem, Gerd and Cavero, Jose: “A bottom-up approach to smart cities places citizens in an active role of contributing, analysing and interpreting data in pursuit of tackling local urban challenges and building a more sustainable future city. This vision can only be realised if citizens have sufficient data literacy skills and experience of large, complex, messy, ever expanding data sets. Schools typically focus on teaching data handling skills using small, personally collected data sets obtained through scientific experimentation, leading to a gap between what is being taught and what will be needed as big data and analytics become more prevalent. This paper proposes an approach to teaching data literacy in the context of urban innovation tasks, using an idea of Urban Data Games. These are supported by a set of training data and resources that will be used in school trials for exploring the problems people have when dealing with large data and trialling novel approaches for teaching data literacy….(More)”

A sentiment analysis of U.S. local government tweets: The connection between tone and citizen involvement


Paper by Staci M. ZavattaroP. Edward French, and Somya D. Mohanty: “As social media tools become more popular at all levels of government, more research is needed to determine how the platforms can be used to create meaningful citizen–government collaboration. Many entities use the tools in one-way, push manners. The aim of this research is to determine if sentiment (tone) can positively influence citizen participation with government via social media. Using a systematic random sample of 125 U.S. cities, we found that positive sentiment is more likely to engender digital participation but this was not a perfect one-to-one relationship. Some cities that had an overall positive sentiment score and displayed a participatory style of social media use did not have positive citizen sentiment scores. We argue that positive tone is only one part of a successful social media interaction plan, and encourage social media managers to actively manage platforms to use activities that spur participation….(More)”

How Crowdsourcing And Machine Learning Will Change The Way We Design Cities


Shaunacy Ferro at FastCompany: “In 2011, researchers at the MIT Media Lab debuted Place Pulse, a website that served as a kind of “hot or not” for cities. Given two Google Street View images culled from a select few cities including New York City and Boston, the site asked users to click on the one that seemed safer, more affluent, or more unique. The result was an empirical way to measure urban aesthetics.

Now, that data is being used to predict what parts of cities feel the safest. StreetScore, a collaboration between the MIT Media Lab’s Macro Connections and Camera Culture groups, uses an algorithm to create a super high-resolution map of urban perceptions. The algorithmically generated data could one day be used to research the connection between urban perception and crime, as well as informing urban design decisions.

The algorithm, created by Nikhil Naik, a Ph.D. student in the Camera Culture lab, breaks an image down into its composite features—such as building texture, colors, and shapes. Based on how Place Pulse volunteers rated similar features, the algorithm assigns the streetscape a perceived safety score between 1 and 10. These scores are visualized as geographic points on a map, designed by MIT rising sophomore Jade Philipoom. Each image available from Google Maps in the two cities are represented by a colored dot: red for the locations that the algorithm tags as unsafe, and dark green for those that appear safest. The site, now limited to New York and Boston, will be expanded to feature Chicago and Detroit later this month, and eventually, with data collected from a new version of Place Pulse, will feature dozens of cities around the world….(More)”

Bloomberg Philanthropies Launches $42 Million “What Works Cities” Initiative


Press Release: “Today, Bloomberg Philanthropies announced the launch of the What Works Cities initiative, a $42 million program to help 100 mid-sized cities better use data and evidence. What Works Cities is the latest initiative from Bloomberg Philanthropies’ Government Innovation portfolio which promotes public sector innovation and spreads effective ideas amongst cities.

Through partners, Bloomberg Philanthropies will help mayors and local leaders use data and evidence to engage the public, make government more effective and improve people’s lives. U.S. cities with populations between 100,000 and 1 million people are invited to apply.

“While cities are working to meet new challenges with limited resources, they have access to more data than ever – and they are increasingly using it to improve people’s lives,” said Michael R. Bloomberg. “We’ll help them build on their progress, and help even more cities take steps to put data to work. What works? That’s a question that every city leader should ask – and we want to help them find answers.”

The $42 million dollar effort is the nation’s most comprehensive philanthropic initiative to help accelerate the ability of local leaders to use data and evidence to improve the lives of their residents. What Works Cities will provide mayors with robust technical assistance, expertise, and peer-to-peer learning opportunities that will help them enhance their use of data and evidence to improve services to solve problems for communities. The program will help cities:

1. Create sustainable open data programs and policies that promote transparency and robust citizen engagement;

2. Better incorporate data into budget, operational, and policy decision making;

3. Conduct low-cost, rapid evaluations that allow cities to continually improve programs; and

4. Focus funding on approaches that deliver results for citizens.

Across the initiative, Bloomberg Philanthropies will document how cities currently use data and evidence in decision making, and how this unique program of support helps them advance. Over time, the initiative will also launch a benchmark system which will collect standardized, comparable data so that cities can understand their performance relative to peers.

In cities across the country, mayors are increasingly relying on data and evidence to deliver better results for city residents. For example, New Orleans’ City Hall used data to reduce blighted residences by 10,000 and increased the number of homes brought into compliance by 62% in 2 years. The City’s “BlightStat” program has put New Orleans, once behind in efforts to revitalize abandoned and decaying properties, at the forefront of national efforts.

In New York City and other jurisdictions, open data from transit agencies has led to the creation of hundreds of apps that residents now use to get around town, choose where to live based on commuting times, provide key transit information to the visually impaired, and more. And Louisville has asked volunteers to attach GPS trackers to their asthma inhalers to see where they have the hardest time breathing. The city is now using that data to better target the sources of air pollution….

To learn more and apply to be a What Works City, visitwww.WhatWorksCities.org.”

Innovating for Impact in Public Policy


Post by Derek B. Miller and Lisa Rudnick: “Political systems across democratic countries are becoming more ideologically and politically divided over how to use increasingly limited resources. In the face of these pressures everyone wants results: they want them cheap and they want them now. This demand for better results is falling squarely on civil servants.

In the performance of their jobs, everyone is being asked to do more with less. This demand comes independent of theme, scope, or size of the public institution. It is as true for those working in transportation as it is for those in education or public health or international peace and security; whether in local government or at UN agencies; or else in the NGOs, think tanks, and community-based organizations that partner with them. Even private industry feels the squeeze.

When we say “do more with less” we mean more impact, better results, and more effective outcomes than ever before with less money and time, fewer people, and (often) less political support.

In taking a cue from the private sector, the public sector is looking for solutions in “Innovation.”

Innovation is the act of making possible that which was previously impossible in order to solve a problem. Given that present performance is insufficient to meet demand, there is a turn to innovation (broadly defined) to maximize resources through new methods to achieve goals. In this way, innovation is being treated as a strategic imperative for successful governance.

From our vantage point — having worked on innovation and public policy for over a decade, mostly from within the UN — we see two driving forces for innovation that we believe are going to shape the future of public policy performance and, by extension, the character of democratic governance in the years to come. Managing the convergence of these two approaches to innovation is going to be one of the most important public policy agendas for the next several decades (for a detailed discussion of this topic, see Trying it on for Size: Design and International Public Policy).

The first is evidence-based policymaking. The goal of evidence-based policymaking is to build a base of evidence — often about past performance —  so that lessons can be learned, best practices distilled, and new courses of action recommended (or required) to guide future organizational behavior for more efficient or effective outcomes.

The second force is going to be design. The field of design evolved in the crucible of the arts and not in the Academy. It is therefore a late-comer to public policy…(More)”

Rebooting Democracy


 John Boik, Lorenzo Fioramonti, and Gary Milante at Foreign Policy: “….The next generation of political and economic systems may look very different from the ones we know today.

Some changes along these lines are already happening. Civil society groups, cities, organizations, and government agencies have begun to experiment with a host of innovations that promote decentralization, redundancy, inclusion, and diversity. These include participatory budgeting, where residents of a city democratically choose how public monies are spent. They also include local currency systems, open-source development, open-design, open-data and open-government, public banking, “buy local” campaigns, crowdfunding, and socially responsible business models.

Such innovations are a type of churning on the edges of current systems. But in complex systems, changes at the periphery can cascade to changes at the core. Further, the speed of change is increasing. Consider the telephone, first introduced by Bell in 1876. It took about 75 years to reach adoption by 50 percent of the market. A century later the Internet did the same in about 35 years. We can expect that the next major innovations will be adopted even faster.

Following the examples of the telephone and Internet, it appears likely that the technology of new economic and political decision-making systems will first be adopted by small groups, then spread virally. Indeed, small groups, such as neighborhoods and cities, are among today’s leaders in innovation. The influence of larger bodies, such as big corporations and non-governmental organizations, is also growing steadily as nation states increasingly share their powers, willingly or not.

Changes are evident even within large corporations. Open-source software development has become the norm, for example, and companies as large as Toyota have announced plans to freely share their intellectual property.

While these innovations represent potentially important parts of new political and economic systems, they are only the tip of the iceberg. Systems engineering design could eventually integrate these and other innovations into efficient, user-friendly, scalable, and resilient whole systems. But the need for this kind of innovation is not yet universally acknowledged. In its list of 14 grand challenges for the 21st century, the U.S. National Academy of Engineering addresses many of the problems caused by poor decision making, such as climate change, but not the decision-making systems themselves. The work has only just begun.

The development of new options will dramatically alter how democracy is used, adjusted, and exported. Attention will shift toward groups, perhaps at the city/regional level, who wish to apply the flexible tools freely available on the Internet. Future practitioners of democracy will invest more time and resources to understand what communities want and need — helping them adapt designs to make them fit for their purpose — and to build networked systems that beneficially connect diverse groups into larger political and economic structures. In time, when the updates to next-generation political and economic near completion, we might find ourselves more fully embracing the notion “engage local, think global.”…(More)