Let's amplify California's collective intelligence

Curated on Posted on by Stefaan Verhulst

Gavin Newsom and Ken Goldberg at the SFGate: “Although the results of last week’s primary election are still being certified, we already know that voter turnout was among the lowest in California’s history. Pundits will rant about the “cynical electorate” and wag a finger at disengaged voters shirking their democratic duties, but we see the low turnout as a symptom of broader forces that affect how people and government interact.
The methods used to find out what citizens think and believe are limited to elections, opinion polls, surveys and focus groups. These methods may produce valuable information, but they are costly, infrequent and often conducted at the convenience of government or special interests.
We believe that new technology has the potential to increase public engagement by tapping the collective intelligence of Californians every day, not just on election day.
While most politicians already use e-mail and social media, these channels are easily dominated by extreme views and tend to regurgitate material from mass media outlets.
We’re exploring an alternative.
The California Report Card is a mobile-friendly web-based platform that streamlines and organizes public input for the benefit of policymakers and elected officials. The report card allows participants to assign letter grades to key issues and to suggest new ideas for consideration; public officials then can use that information to inform their decisions.
In an experimental version of the report card released earlier this year, residents from all 58 counties assigned more than 20,000 grades to the state of California and also suggested issues they feel deserve priority at the state level. As one participant noted: “This platform allows us to have our voices heard. The ability to review and grade what others suggest is important. It enables elected officials to hear directly how Californians feel.”
Initial data confirm that Californians approve of our state’s rollout of Obamacare, but are very concerned about the future of our schools and universities.
There was also a surprise. California Report Card suggestions for top state priorities revealed consistently strong interest and support for more attention to disaster preparedness. Issues related to this topic were graded as highly important by a broad cross section of participants across the state. In response, we’re testing new versions of the report card that can focus on topics related to wildfires and earthquakes.
The report card is part of an ongoing collaboration between the CITRIS Data and Democracy Initiative at UC Berkeley and the Office of the Lieutenant Governor to explore how technology can improve public communication and bring the government closer to the people. Our hunch is that engineering concepts can be adapted for public policy to rapidly identify real insights from constituents and resist gaming by special interests.
You don’t have to wait for the next election to have your voice heard by officials in Sacramento. The California Report Card is now accessible from cell phones, desktop and tablet computers. We encourage you to contribute your own ideas to amplify California’s collective intelligence. It’s easy, just click “participate” on this website: CaliforniaReportCard.org”

Crowdsourcing and social search

Curated on Posted on by Stefaan Verhulst

at Techcrunch: “When we think of the sharing economy, what often comes to mind are sites like Airbnb, Lyft, or Feastly — the platforms that allow us to meet people for a specific reason, whether that’s a place to stay, a ride, or a meal.
But what about sharing something much simpler than that, like answers to our questions about the world around us? Sharing knowledge with strangers can offer us insight into a place we are curious about or trying to navigate, and in a more personal, efficient way than using traditional web searches.
“Sharing an answer or response to question, that is true sharing. There’s no financial or monetary exchange based on that. It’s the true meaning of [the word],” said Maxime Leroy, co-founder and CEO of a new app called Enquire.
Enquire is a new question-and-answer app, but it is unlike others in the space. You don’t have to log in via Facebook or Twitter, use SMS messaging like on Quest, or upload an image like you do on Jelly. None of these apps have taken off yet, which could be good or bad for Enquire just entering the space.
With Enquire, simply log in with a username and password and it will unlock the neighborhood you are in (the app only works in San Francisco, New York, and Paris right now). There are lists of answers to other questions, or you can post your own. If 200 people in a city sign up, the app will become available to them, which is an effort to make sure there is a strong community to gather answers from.
Leroy, who recently made a documentary about the sharing economy, realized there was “one tool missing for local communities” in the space, and decided to create this app.
“We want to build a more local-based network, and empower and increase trust without having people share all their identity,” he said.
Different social channels look at search in different ways, but the trend is definitely moving to more social searching or location-based searching, according to according to Altimeter social media analyst Rebecca Lieb. Arguably, she said, Yelp, Groupon, and even Google Maps are vertical search engines. If you want to find a nearby restaurant, pharmacy, or deal, you look to these platforms.
However, she credits Aardvark as one of the first in the space, which was a social search engine founded in 2007 that used instant messaging and email to get answers from your existing contacts. Google bought the company in 2010. It shows the idea of crowdsourcing answers isn’t new, but the engines have become “appified,” she said.
“Now it’s geo-local specific,” she said. “We’re asking a lot more of those geo-local questions because of location-based immediacy [that we want].”
Think Seamless, with which you find the food nearby that most satisfies your appetite. Even Tinder and Grindr are social search engines, Lieb said. You want to meet up with the people that are closest to you, geographically….
His challenge is to offer rewards to incite people to sign up for the app. Eventually, Leroy would like to strengthen the networks and scale Enquire to cities and neighborhoods all over the world. Once that’s in place, people can start creating their own neighborhoods — around a school or workplace, where they hang out regularly — instead of using the existing constraints.
“I may be an expert in one area, and a newbie in another. I want to emphasize the activity and content from users to give them credit to other users and build that trust,” he said.
Usually, our first instinct is to open Yelp to find the best sushi restaurant or Google to search the closest concert venue, and it will probably stay that way for some time. But the idea that the opinions and insights of other human beings, even of strangers, is becoming much more valuable because of the internet is not far-fetched.
Admit it: haven’t you had a fleeting thought of starting a Kickstarter campaign for an idea? Looked for a cheaper place to stay on Airbnb than that hotel you normally book in New York? Or considered financing someone’s business idea across the world using Kiva? If so, then you’ve engaged in social search.
Suddenly, crowdsourcing answers for the things that pique your interest on your morning walk may not seem so strange after all.”

Selected Readings on Crowdsourcing Tasks and Peer Production

Curated on Posted on by Andrew Young

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of crowdsourcing was originally published in 2014.

Technological advances are creating a new paradigm by which institutions and organizations are increasingly outsourcing tasks to an open community, allocating specific needs to a flexible, willing and dispersed workforce. “Microtasking” platforms like Amazon’s Mechanical Turk are a burgeoning source of income for individuals who contribute their time, skills and knowledge on a per-task basis. In parallel, citizen science projects – task-based initiatives in which citizens of any background can help contribute to scientific research – like Galaxy Zoo are demonstrating the ability of lay and expert citizens alike to make small, useful contributions to aid large, complex undertakings. As governing institutions seek to do more with less, looking to the success of citizen science and microtasking initiatives could provide a blueprint for engaging citizens to help accomplish difficult, time-consuming objectives at little cost. Moreover, the incredible success of peer-production projects – best exemplified by Wikipedia – instills optimism regarding the public’s willingness and ability to complete relatively small tasks that feed into a greater whole and benefit the public good. You can learn more about this new wave of “collective intelligence” by following the MIT Center for Collective Intelligence and their annual Collective Intelligence Conference.

Selected Reading List (in alphabetical order)

Annotated Selected Reading List (in alphabetical order)

Benkler, Yochai. The Wealth of Networks: How Social Production Transforms Markets and Freedom. Yale University Press, 2006. http://bit.ly/1aaU7Yb.

  • In this book, Benkler “describes how patterns of information, knowledge, and cultural production are changing – and shows that the way information and knowledge are made available can either limit or enlarge the ways people can create and express themselves.”
  • In his discussion on Wikipedia – one of many paradigmatic examples of people collaborating without financial reward – he calls attention to the notable ongoing cooperation taking place among a diversity of individuals. He argues that, “The important point is that Wikipedia requires not only mechanical cooperation among people, but a commitment to a particular style of writing and describing concepts that is far from intuitive or natural to people. It requires self-discipline. It enforces the behavior it requires primarily through appeal to the common enterprise that the participants are engaged in…”

Brabham, Daren C. Using Crowdsourcing in Government. Collaborating Across Boundaries Series. IBM Center for The Business of Government, 2013. http://bit.ly/17gzBTA.

  • In this report, Brabham categorizes government crowdsourcing cases into a “four-part, problem-based typology, encouraging government leaders and public administrators to consider these open problem-solving techniques as a way to engage the public and tackle difficult policy and administrative tasks more effectively and efficiently using online communities.”
  • The proposed four-part typology describes the following types of crowdsourcing in government:
    • Knowledge Discovery and Management
    • Distributed Human Intelligence Tasking
    • Broadcast Search
    • Peer-Vetted Creative Production
  • In his discussion on Distributed Human Intelligence Tasking, Brabham argues that Amazon’s Mechanical Turk and other microtasking platforms could be useful in a number of governance scenarios, including:
    • Governments and scholars transcribing historical document scans
    • Public health departments translating health campaign materials into foreign languages to benefit constituents who do not speak the native language
    • Governments translating tax documents, school enrollment and immunization brochures, and other important materials into minority languages
    • Helping governments predict citizens’ behavior, “such as for predicting their use of public transit or other services or for predicting behaviors that could inform public health practitioners and environmental policy makers”

Boudreau, Kevin J., Patrick Gaule, Karim Lakhani, Christoph Reidl, Anita Williams Woolley. “From Crowds to Collaborators: Initiating Effort & Catalyzing Interactions Among Online Creative Workers.” Harvard Business School Technology & Operations Mgt. Unit Working Paper No. 14-060. January 23, 2014. https://bit.ly/2QVmGUu.

  • In this working paper, the authors explore the “conditions necessary for eliciting effort from those affecting the quality of interdependent teamwork” and “consider the the role of incentives versus social processes in catalyzing collaboration.”
  • The paper’s findings are based on an experiment involving 260 individuals randomly assigned to 52 teams working toward solutions to a complex problem.
  • The authors determined the level of effort in such collaborative undertakings are sensitive to cash incentives. However, collaboration among teams was driven more by the active participation of teammates, rather than any monetary reward.

Franzoni, Chiara, and Henry Sauermann. “Crowd Science: The Organization of Scientific Research in Open Collaborative Projects.” Research Policy (August 14, 2013). http://bit.ly/HihFyj.

  • In this paper, the authors explore the concept of crowd science, which they define based on two important features: “participation in a project is open to a wide base of potential contributors, and intermediate inputs such as data or problem solving algorithms are made openly available.” The rationale for their study and conceptual framework is the “growing attention from the scientific community, but also policy makers, funding agencies and managers who seek to evaluate its potential benefits and challenges. Based on the experiences of early crowd science projects, the opportunities are considerable.”
  • Based on the study of a number of crowd science projects – including governance-related initiatives like Patients Like Me – the authors identify a number of potential benefits in the following categories:
    • Knowledge-related benefits
    • Benefits from open participation
    • Benefits from the open disclosure of intermediate inputs
    • Motivational benefits
  • The authors also identify a number of challenges:
    • Organizational challenges
    • Matching projects and people
    • Division of labor and integration of contributions
    • Project leadership
    • Motivational challenges
    • Sustaining contributor involvement
    • Supporting a broader set of motivations
    • Reconciling conflicting motivations

Kittur, Aniket, Ed H. Chi, and Bongwon Suh. “Crowdsourcing User Studies with Mechanical Turk.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 453–456. CHI ’08. New York, NY, USA: ACM, 2008. http://bit.ly/1a3Op48.

  • In this paper, the authors examine “[m]icro-task markets, such as Amazon’s Mechanical Turk, [which] offer a potential paradigm for engaging a large number of users for low time and monetary costs. [They] investigate the utility of a micro-task market for collecting user measurements, and discuss design considerations for developing remote micro user evaluation tasks.”
  • The authors conclude that in addition to providing a means for crowdsourcing small, clearly defined, often non-skill-intensive tasks, “Micro-task markets such as Amazon’s Mechanical Turk are promising platforms for conducting a variety of user study tasks, ranging from surveys to rapid prototyping to quantitative measures. Hundreds of users can be recruited for highly interactive tasks for marginal costs within a timeframe of days or even minutes. However, special care must be taken in the design of the task, especially for user measurements that are subjective or qualitative.”

Kittur, Aniket, Jeffrey V. Nickerson, Michael S. Bernstein, Elizabeth M. Gerber, Aaron Shaw, John Zimmerman, Matthew Lease, and John J. Horton. “The Future of Crowd Work.” In 16th ACM Conference on Computer Supported Cooperative Work (CSCW 2013), 2012. http://bit.ly/1c1GJD3.

  • In this paper, the authors discuss paid crowd work, which “offers remarkable opportunities for improving productivity, social mobility, and the global economy by engaging a geographically distributed workforce to complete complex tasks on demand and at scale.” However, they caution that, “it is also possible that crowd work will fail to achieve its potential, focusing on assembly-line piecework.”
  • The authors argue that seven key challenges must be met to ensure that crowd work processes evolve and reach their full potential:
    • Designing workflows
    • Assigning tasks
    • Supporting hierarchical structure
    • Enabling real-time crowd work
    • Supporting synchronous collaboration
    • Controlling quality

Madison, Michael J. “Commons at the Intersection of Peer Production, Citizen Science, and Big Data: Galaxy Zoo.” In Convening Cultural Commons, 2013. http://bit.ly/1ih9Xzm.

  • This paper explores 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 on the Internet. In the second place, Galaxy Zoo is a highly successful example of peer production, some times known as crowdsourcing…In the third place, 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.”
  • Madison concludes that the success of Galaxy Zoo has not been the result of the “character of its information resources (scientific data) and rules regarding their usage,” but rather, the fact that the “community was guided from the outset by a vision of a specific organizational solution to a specific research problem in astronomy, initiated and governed, over time, by professional astronomers in collaboration with their expanding universe of volunteers.”

Malone, Thomas W., Robert Laubacher and Chrysanthos Dellarocas. “Harnessing Crowds: Mapping the Genome of Collective Intelligence.” MIT Sloan Research Paper. February 3, 2009. https://bit.ly/2SPjxTP.

  • In this article, the authors describe and map the phenomenon of collective intelligence – also referred to as “radical decentralization, crowd-sourcing, wisdom of crowds, peer production, and wikinomics – which they broadly define as “groups of individuals doing things collectively that seem intelligent.”
  • The article is derived from the authors’ work at MIT’s Center for Collective Intelligence, where they gathered nearly 250 examples of Web-enabled collective intelligence. To map the building blocks or “genes” of collective intelligence, the authors used two pairs of related questions:
    • Who is performing the task? Why are they doing it?
    • What is being accomplished? How is it being done?
  • The authors concede that much work remains to be done “to identify all the different genes for collective intelligence, the conditions under which these genes are useful, and the constraints governing how they can be combined,” but they believe that their framework provides a useful start and gives managers and other institutional decisionmakers looking to take advantage of collective intelligence activities the ability to “systematically consider many possible combinations of answers to questions about Who, Why, What, and How.”

Mulgan, Geoff. “True Collective Intelligence? A Sketch of a Possible New Field.” Philosophy & Technology 27, no. 1. March 2014. http://bit.ly/1p3YSdd.

  • In this paper, Mulgan explores the concept of a collective intelligence, a “much talked about but…very underdeveloped” field.
  • With a particular focus on health knowledge, Mulgan “sets out some of the potential theoretical building blocks, suggests an experimental and research agenda, shows how it could be analysed within an organisation or business sector and points to possible intellectual barriers to progress.”
  • He concludes that the “central message that comes from observing real intelligence is that intelligence has to be for something,” and that “turning this simple insight – the stuff of so many science fiction stories – into new theories, new technologies and new applications looks set to be one of the most exciting prospects of the next few years and may help give shape to a new discipline that helps us to be collectively intelligent about our own collective intelligence.”

Sauermann, Henry and Chiara Franzoni. “Participation Dynamics in Crowd-Based Knowledge Production: The Scope and Sustainability of Interest-Based Motivation.” SSRN Working Papers Series. November 28, 2013. http://bit.ly/1o6YB7f.

  • In this paper, Sauremann and Franzoni explore the issue of interest-based motivation in crowd-based knowledge production – in particular the use of the crowd science platform Zooniverse – by drawing on “research in psychology to discuss important static and dynamic features of interest and deriv[ing] a number of research questions.”
  • The authors find that interest-based motivation is often tied to a “particular object (e.g., task, project, topic)” not based on a “general trait of the person or a general characteristic of the object.” As such, they find that “most members of the installed base of users on the platform do not sign up for multiple projects, and most of those who try out a project do not return.”
  • They conclude that “interest can be a powerful motivator of individuals’ contributions to crowd-based knowledge production…However, both the scope and sustainability of this interest appear to be rather limited for the large majority of contributors…At the same time, some individuals show a strong and more enduring interest to participate both within and across projects, and these contributors are ultimately responsible for much of what crowd science projects are able to accomplish.”

Schmitt-Sands, Catherine E. and Richard J. Smith. “Prospects for Online Crowdsourcing of Social Science Research Tasks: A Case Study Using Amazon Mechanical Turk.” SSRN Working Papers Series. January 9, 2014. http://bit.ly/1ugaYja.

  • In this paper, the authors describe an experiment involving the nascent use of Amazon’s Mechanical Turk as a social science research tool. “While researchers have used crowdsourcing to find research subjects or classify texts, [they] used Mechanical Turk to conduct a policy scan of local government websites.”
  • Schmitt-Sands and Smith found that “crowdsourcing worked well for conducting an online policy program and scan.” The microtasked workers were helpful in screening out local governments that either did not have websites or did not have the types of policies and services for which the researchers were looking. However, “if the task is complicated such that it requires ongoing supervision, then crowdsourcing is not the best solution.”

Shirky, Clay. Here Comes Everybody: The Power of Organizing Without Organizations. New York: Penguin Press, 2008. https://bit.ly/2QysNif.

  • In this book, Shirky explores our current era in which, “For the first time in history, the tools for cooperating on a global scale are not solely in the hands of governments or institutions. The spread of the Internet and mobile phones are changing how people come together and get things done.”
  • Discussing Wikipedia’s “spontaneous division of labor,” Shirky argues that the process is like, “the process is more like creating a coral reef, the sum of millions of individual actions, than creating a car. And the key to creating those individual actions is to hand as much freedom as possible to the average user.”

Silvertown, Jonathan. “A New Dawn for Citizen Science.” Trends in Ecology & Evolution 24, no. 9 (September 2009): 467–471. http://bit.ly/1iha6CR.

  • This article discusses the move from “Science for the people,” a slogan adopted by activists in the 1970s to “’Science by the people,’ which is “a more inclusive aim, and is becoming a distinctly 21st century phenomenon.”
  • Silvertown identifies three factors that are responsible for the explosion of activity in citizen science, each of which could be similarly related to the crowdsourcing of skills by governing institutions:
    • “First is the existence of easily available technical tools for disseminating information about products and gathering data from the public.
    • A second factor driving the growth of citizen science is the increasing realisation among professional scientists that the public represent a free source of labour, skills, computational power and even finance.
    • Third, citizen science is likely to benefit from the condition that research funders such as the National Science Foundation in the USA and the Natural Environment Research Council in the UK now impose upon every grantholder to undertake project-related science outreach. This is outreach as a form of public accountability.”

Szkuta, Katarzyna, Roberto Pizzicannella, David Osimo. “Collaborative approaches to public sector innovation: A scoping study.” Telecommunications Policy. 2014. http://bit.ly/1oBg9GY.

  • In this article, the authors explore cases where government collaboratively delivers online public services, with a focus on success factors and “incentives for services providers, citizens as users and public administration.”
  • The authors focus on six types of collaborative governance projects:
    • Services initiated by government built on government data;
    • Services initiated by government and making use of citizens’ data;
    • Services initiated by civil society built on open government data;
    • Collaborative e-government services; and
    • Services run by civil society and based on citizen data.
  • The cases explored “are all designed in the way that effectively harnesses the citizens’ potential. Services susceptible to collaboration are those that require computing efforts, i.e. many non-complicated tasks (e.g. citizen science projects – Zooniverse) or citizens’ free time in general (e.g. time banks). Those services also profit from unique citizens’ skills and their propensity to share their competencies.”

Cluster mapping

Curated on Posted on by Stefaan Verhulst

“The U.S. Cluster Mapping Project is a national economic initiative that provides open, interactive data to understand regional clusters and support business, innovation and policy in the United States. It is based at the Institute for Strategy and Competitiveness at Harvard Business School, with support from a number of partners and a federal grant from the U.S. Department of Commerce’s Economic Development Administration.
Research
The project provides a robust cluster mapping database grounded in the leading academic research. Professor Michael Porter pioneered the comprehensive mapping of clusters in the U.S. economy in the early 2000s. The research team from Harvard, MIT, and Temple used the latest Census and industry data to develop a new algorithm to define cluster categories that cover the entire U.S. economy. These categories enable comparative analyses of clusters across any region in the United States….
Impact
Research on the presence of regional clusters has recently oriented economic policy toward addressing the needs of clusters and mobilizing their potential. Four regional partners in Massachusetts, Minnesota, Oregon, and South Carolina produced a set of case studies that discuss how regions have organized economic policy around clusters. These cases form the core of a resource library that aims to disseminate insights and strengthen the community of practice in cluster-based economic development. The project will also take an international scope to benefit cross-border industries in North America and inform collective global dialogue around cluster-based economic development.”

Can social media make every civil servant an innovator?

Curated on Posted on by Stefaan Verhulst

Steve Kelman at FCW: “Innovation, particularly in government, can be very hard. Lots of signoffs, lots of naysayers. For many, it’s probably not worth the hassle.
Yet all sorts of examples are surfacing about ways civil servants, non-profits, startups and researchers have thought to use social media — or data mining of government information — to get information that can either help citizens directly or help agencies serve citizens. I want to call attention to examples that I’ve seen just in the past few weeks — partly to recognize the creative people who have come up with these ideas, but partly to make a point about the relationship between these ideas and the general issue of innovation in government. I think that these social media and data-driven experiments are often a much simpler way for civil servants to innovate than many of the changes we typically think of under the heading “innovation in government.” They open the possibility to make innovation in government an activity for the civil service masses.
One example that was reported in The New York Times was about a pilot project at the New York City Department of Health and Mental Hygiene to do rapid keyword searches with phrases such as “vomit” and “diarrhea” associated with 294,000 Yelp restaurant reviews in New York City. The city is using a software program developed at Columbia University. They have now expended the monitoring to occur daily, to get quick information on possible problems at specific restaurants or with specific kinds of food.
A second example, reported in BloombergBusinessWeek, involved — perhaps not surprisingly, given the publication — an Israeli startup called Treato that is applying a similar idea to ferretting out adverse drug reactions before they come in through FDA studies and other systems. The founders are cooperating with researchers at Harvard Medical School and FDA officials, among others. Their software looks through Twitter and Facebook, along with a large number of patient forum sites, to cull out from all the reports of illnesses the incidents that may well reflect an unusual presence of adverse drug reactions.
These examples are fascinating in themselves. But one thing that caught my eye about both is that each seems high on the creativity dimension and low on the need-to-overcome-bureaucracy dimension. Both ideas reflect new and improved ways to do what these organizations do anyway, which is gather information to help inform regulatory and health decisions by government. Neither requires any upheaval in an agency’s existing culture, or steps on somebody’s turf in any serious way. Introducing the changes doesn’t require major changes in an agency’s internal procedures. Compared to many innovations in government, these are easy ones to make happen. (They do all need some funds, however.)
What I hope is that the information woven into social media will unlock a new era of innovation inside government. The limits of innovation are much less determined by difficult-to-change bureaucratic processes and can be much more responsive to an individual civil servant’s creativity…”

How NYC Open Data and Reddit Saved New Yorkers Over $55,000 a Year

Curated on Posted on by Stefaan Verhulst

IQuantNY: “NYC generates an enormous amount of data each year, and for the most part, it stays behind closed doors.  But thanks to the Open Data movement, signed into law by Bloomberg in 2012 and championed over the last several years by Borough President Gale Brewer, along with other council members, we now get to see a small slice of what the city knows. And that slice is growing.
There have been some detractors along the way; a senior attorney for the NYPD said in 2012 during a council hearing that releasing NYPD data in csv format was a problem because they were “concerned with the integrity of the data itself” and because “data could be manipulated by people who want ‘to make a point’ of some sort”.  But our democracy is built on the idea of free speech; we let all the information out and then let reason lead the way.
In some ways, Open Data adds another check and balance into government: its citizens.  I’ve watched the perfect example of this check work itself out over the past month.  You may have caught my post that used parking ticket data to identify the fire hydrant in New York City that was generating the most income for the city in the form of fines: $33,000 a year.  And on the next block, the second most profitable hydrant was generating $24,000 a year.  That’s two consecutive blocks with hydrants generating over $55,000 a year. But there was a problem.  In my post, I laid out why these two parking spots were extremely confusing and basically seemed like a trap; there was a wide “curb extension” between the street and the hydrant, making it appear like the hydrant was not by the street.  Additionally, the DOT had painted parking spots right where you would be fined if you parked.
Once the data was out there, the hydrant took on a life of its own.  First, it raised to the top of the nyc sub-reddit.  That is basically one way that the internet voted that this is in-fact “interesting”.  And that is how things go from small to big. From there, it travelled to the New York Observer, which was able to get a comment from the DOT. After that, it appeared in the New York Post, the post was republished in Gothamist and finally it even went global in the Daily Mail.
I guess the pressure was on the DOT at this point, as each media source reached out for comment, but what struck me was their response to the Observer:

“While DOT has not received any complaints about this location, we will review the roadway markings and make any appropriate alterations”

Why does someone have to complain in order for the DOT to see problems like this?  In fact, the DOT just redesigned every parking sign in New York because some of the old ones were considered confusing.  But if this hydrant was news to them, it implies that they did not utilize the very strongest source of measuring confusion on our streets: NYC parking tickets….”

Why Governments Should Adopt a Digital Engagement Strategy

Curated on Posted on by Stefaan Verhulst

Lindsay Crudele at StateTech: “Government agencies increasingly value digital engagement as a way to transform a complaint-based relationship into one of positive, proactive constituent empowerment. An engaged community is a stronger one.
Creating a culture of participatory government, as we strive to do in Boston, requires a data-driven infrastructure supported by IT solutions. Data management and analytics solutions translate a huge stream of social media data, drive conversations and creative crowdsourcing, and support transparency.
More than 50 departments across Boston host public conversations using a multichannel, multidisciplinary portfolio of accounts. We integrate these using an enterprise digital engagement management tool that connects and organizes them to break down silos and boost collaboration. Moreover, the technology provides a lens into ways to expedite workflow and improve service delivery.

A Vital Link in Times of Need

Committed and creative daily engagement builds trusting collaboration that, in turn, is vital in an inevitable crisis. As we saw during the tragic events of the 2013 Boston Marathon bombings and recent major weather events, rapid response through digital media clarifies the situation, provides information about safety and manages constituent expectations.
Boston’s enterprise model supports coordinated external communication and organized monitoring, intake and response. This provides a superadmin with access to all accounts for governance and the ability to easily amplify central messaging across a range of cultivated communities. These communities will later serve in recovery efforts.
The conversations must be seeded by a keen, creative and data-driven content strategy. For an agency to determine the correct strategy for the organization and the community it serves, a growing crop of social analytics tools can provide efficient insight into performance factors: type of content, deployment schedule, sentiment, service-based response time and team performance, to name a few. For example, in February, the city of Boston learned that tweets from our mayor with video saw 300 percent higher engagement than those without.
These insights can inform resource deployment, eliminating guesswork to more directly reach constituents by their preferred methods. Being truly present in a conversation demonstrates care and awareness and builds trust. This increased positivity can be measured through sentiment analysis, including change over time, and should be monitored for fluctuation.
During a major event, engagement managers may see activity reach new peaks in volume. IT solutions can interpret Big Data and bring a large-scale digital conversation back into perspective, identifying public safety alerts and emerging trends, needs and community influencers who can be engaged as amplifying partners.

Running Strong One Year Later

Throughout the 2014 Boston Marathon, we used three monitoring tools to deliver smart alerts to key partners across the organization:
• An engagement management tool organized conversations for account performance and monitoring.
• A brand listening tool scanned for emerging trends across the city and uncovered related conversations.
• A location-based predictive tool identified early alerts to discover potential problems along the marathon route.
With the team and tools in place, policy-based training supports the sustained growth and operation of these conversation channels. A data-driven engagement strategy unearths all of our stories, where we, as public servants and neighbors, build better communities together….”

New Book on 25 Years of Participatory Budgeting

Curated on Posted on by Stefaan Verhulst

Tiago Peixoto at Democracy Spot: “A little while ago I mentioned the launch of the Portuguese version of the book organized by Nelson Dias, “Hope for Democracy: 25 Years of Participatory Budgeting Worldwide”.

The good news is that the English version is finally out. Here’s an excerpt from the introduction:

This book represents the effort  of more than forty authors and many other direct and indirect contributions that spread across different continents seek to provide an overview on the Participatory Budgeting (PB) in the World. They do so from different backgrounds. Some are researchers, others are consultants, and others are activists connected to several groups and social movements. The texts reflect this diversity of approaches and perspectives well, and we do not try to influence that.
(….)
The pages that follow are an invitation to a fascinating journey on the path of democratic innovation in very diverse cultural, political, social and administrative settings. From North America to Asia, Oceania to Europe, from Latin America to Africa, the reader will find many reasons to closely follow the proposals of the different authors.

The book can be downloaded here [PDF]. I had the pleasure of being one of the book’s contributors, co-authoring an article with Rafael Sampaio on the use of ICT in PB processes: “Electronic Participatory Budgeting: False Dilemmas and True Complexities” [PDF]...”

A brief history of open data

Curated on Posted on by Stefaan Verhulst

Article by Luke Fretwell in FCW: “In December 2007, 30 open-data pioneers gathered in Sebastopol, Calif., and penned a set of eight open-government data principles that inaugurated a new era of democratic innovation and economic opportunity.
“The objective…was to find a simple way to express values that a bunch of us think are pretty common, and these are values about how the government could make its data available in a way that enables a wider range of people to help make the government function better,” Harvard Law School Professor Larry Lessig said. “That means more transparency in what the government is doing and more opportunity for people to leverage government data to produce insights or other great business models.”
The eight simple principles — that data should be complete, primary, timely, accessible, machine-processable, nondiscriminatory, nonproprietary and license-free — still serve as the foundation for what has become a burgeoning open-data movement.

The benefits of open data for agencies

  • Save time and money when responding to Freedom of Information Act requests.
  • Avoid duplicative internal research.
  • Use complementary datasets held by other agencies.
  • Empower employees to make better-informed, data-driven decisions.
  • Attract positive attention from the public, media and other agencies.
  • Generate revenue and create new jobs in the private sector.

Source: Project Open Data

In the seven years since those principles were released, governments around the world have adopted open-data initiatives and launched platforms that empower researchers, journalists and entrepreneurs to mine this new raw material and its potential to uncover new discoveries and opportunities. Open data has drawn civic hacker enthusiasts around the world, fueling hackathons, challenges, apps contests, barcamps and “datapaloozas” focused on issues as varied as health, energy, finance, transportation and municipal innovation.
In the United States, the federal government initiated the beginnings of a wide-scale open-data agenda on President Barack Obama’s first day in office in January 2009, when he issued his memorandum on transparency and open government, which declared that “openness will strengthen our democracy and promote efficiency and effectiveness in government.” The president gave federal agencies three months to provide input into an open-government directive that would eventually outline what each agency planned to do with respect to civic transparency, collaboration and participation, including specific objectives related to releasing data to the public.
In May of that year, Data.gov launched with just 47 datasets and a vision to “increase public access to high-value, machine-readable datasets generated by the executive branch of the federal government.”
When the White House issued the final draft of its federal Open Government Directive later that year, the U.S. open-government data movement got its first tangible marching orders, including a 45-day deadline to open previously unreleased data to the public.
Now five years after its launch, Data.gov boasts more than 100,000 datasets from 227 local, state and federal agencies and organizations….”

Open Government Will Reshape Latin America

Curated on Posted on by Stefaan Verhulst

Alejandro Guerrero at Medium: “When people think on the place for innovations, they typically think on innovation being spurred by large firms and small startups based in the US. And particularly in that narrow stretch of land and water called Silicon Valley.
However, the flux of innovation taking place in the intersection between technology and government is phenomenal and emerging everywhere. From the marble hallways of parliaments everywhere —including Latin America’s legislative houses— to office hubs of tech-savvy non-profits full of enthusiastic social changers —also including Latin American startups— a driving force is starting to challenge our conception of how government and citizens can and should interact. And few people are discussing or analyzing these developments.
Open Government in Latin America
The potential for Open Government to improve government’s decision-making and performance is huge. And it is particularly immense in middle income countries such as the ones in Latin America, where the combination of growing incomes, more sophisticated citizens’ demands, and broken public services is generating a large bottom-up pressure and requesting more creative solutions from governments to meet the enormous social needs, while cutting down corruption and improving governance.
It is unsurprising that citizens from all over Latin America are increasingly taking the streets and demanding better public services and more transparent institutions.
While these protests are necessarily short-lived and unarticulated —a product of growing frustration with government— they are a symptom with deeper causes that won’t go easily away, and these protests will most likely come back with increasing frequency and the unresolved frustration may eventually transmute in political platforms with more radical ideas to challenge the status quo.
Behind the scene, governments across the region still face enormous weaknesses in public management, ill-prepared and underpaid public officials carry on with their duties as the platonic idea of a demotivated workforce, and the opportunities for corruption, waste, and nepotism are plenty. The growing segment of more affluent citizens simply opt out from government and resort to private alternatives, thus exacerbating inequalities in the already most unequal region in the world. The crumbling middle classes and the poor can just resort to voicing their complaints. And they are increasingly doing so.
And here is where open government initiatives might play a transformative role, disrupting the way governments make decisions and work while empowering citizens in the process.
The preconditions for OpenGov are almost here
In Latin America, connectivity rates are growing fast (reaching 61% in 2013 for the Americas as a whole), close to 90% of the population owns a cellphone, and access to higher levels of education keeps growing (as an example, the latest PISA report indicates that Mexico went from 58% in 2003 to 70% high-schoolers in 2012). The social conditions for a stronger role of citizens in government are increasingly there.
Moreover, most Latin American countries passed transparency laws during the 2000s, creating the enabling environment for open government initiatives to flourish. It is thus unsurprising that the next generation of young government bureaucrats, on average more internet-savvy and better educated than its predecessors, is taking over and embracing innovations in government. And they are finding echo (and suppliers of ideas and apps!) among local startups and civil society groups, while also being courted by large tech corporations (think of Google or Microsoft) behind succulent government contracts associated with this form of “doing good”.
This is an emerging galaxy of social innovators, technologically-savvy bureaucrats, and engaged citizens providing a large crowd-sourcing community and an opportunity to test different approaches. And the underlying tectonic shifts are pushing governments towards that direction. For a sampler, check out the latest developments for Brazil, Argentina, Peru, Mexico, Colombia, Paraguay, Chile, Panama, Costa Rica, Guatemala, Honduras, Dominican Republic, Uruguay and (why not?) my own country, which I will include in the review often for the surprisingly limited progress of open government in this OECD member, which shares similar institutions and challenges with Latin America.

A Road Full of Promise…and Obstacles

Most of the progress in Latin America is quite recent, and the real impact is still often more limited once you abandon the halls of the Digital Government directorates and secretarías or look if you look beyond the typical government data portal. The resistance to change is as human as laughing, but it is particularly intense among the public sector side of human beings. Politics also typically plays a enormous role in resisting transparency open government, and in a context of weak institutions and pervasive corruption, the temptation to politically block or water down open data/open government projects is just too high. Selective release of data (if any) is too frequent, government agencies often act as silos by not sharing information with other government departments, and irrational fears by policy-makers combined with adoption barriers (well explained here) all contribute to deter the progress of the open government promise in Latin America…”