Alpheus Bingham, co-founder and a member of the board of directors at InnoCentive, in Wired: “But over the course of a decade, what we now call cloud-based or software-as-a-service (SaaS) applications has taken the world by storm and become mainstream. Today, cloud computing is an umbrella term that applies to a wide variety of successful technologies (and business models), from business apps like Salesforce.com, to infrastructure like Amazon Elastic Compute Cloud (Amazon EC2), to consumer apps like Netflix. It took years for all these things to become mainstream, and if the last decade saw the emergence (and eventual dominance) of the cloud over previous technologies and models, this decade will see the same thing with crowdsourcing.
Both an art and a science, crowdsourcing taps into the global experience and wisdom of individuals, teams, communities, and networks to accomplish tasks and work. It doesn’t matter who you are, where you live, or what you do or believe — in fact, the more diversity of thought and perspective, the better. Diversity is king and it’s common for people on the periphery of — or even completely outside of — a discipline or science to end up solving important problems.
The specific nature of the work offers few constraints – from a small business needing a new logo, to the large consumer goods company looking to ideate marketing programs, or to the nonprofit research organization looking to find a biomarker for ALS, the value is clear as well.
To get to the heart of the matter on why crowdsourcing is this decade’s cloud computing, several immediate reasons come to mind:
Crowdsourcing Is Disruptive
Much as cloud computing has created a new guard that in many ways threatens the old guard, so too has crowdsourcing. …
Crowdsourcing Provides On-Demand Talent Capacity
Labor is expensive and good talent is scarce. Think about the cost of adding ten additional researchers to a 100-person R&D team. You’ve increased your research capacity by 10% (more or less), but at a significant cost – and, a significant FIXED cost at that. …
Crowdsourcing Enables Pay-for-Performance.
You pay as you go with cloud computing — gone are the days of massive upfront capital expenditures followed by years of ongoing maintenance and upgrade costs. Crowdsourcing does even better: you pay for solutions, not effort, which predictably sometimes results in failure. In fact, with crowdsourcing, the marketplace bears the cost of failure, not you….
Crowdsourcing “Consumerizes” Innovation
Crowdsourcing can provide a platform for bi-directional communication and collaboration with diverse individuals and groups, whether internal or external to your organization — employees, customers, partners and suppliers. Much as cloud computing has consumerized technology, crowdsourcing has the same potential to consumerize innovation, and more broadly, how we collaborate to bring new ideas, products and services to market.
Crowdsourcing Provides Expert Services and Skills That You Don’t Possess.
One of the early value propositions of cloud-based business apps was that you didn’t need to engage IT to deploy them or Finance to help procure them, thereby allowing general managers and line-of-business heads to do their jobs more fluently and more profitably…”
Why Nudge?: The Politics of Libertarian Paternalism
New and forthcoming book by Cass Sunstein: “Based on a series of pathbreaking lectures given at Yale University in 2012, this powerful, thought-provoking work by national best-selling author Cass R. Sunstein combines legal theory with behavioral economics to make a fresh argument about the legitimate scope of government, bearing on obesity, smoking, distracted driving, health care, food safety, and other highly volatile, high-profile public issues. Behavioral economists have established that people often make decisions that run counter to their best interests—producing what Sunstein describes as “behavioral market failures.” Sometimes we disregard the long term; sometimes we are unrealistically optimistic; sometimes we do not see what is in front of us. With this evidence in mind, Sunstein argues for a new form of paternalism, one that protects people against serious errors but also recognizes the risk of government overreaching and usually preserves freedom of choice.
Against those who reject paternalism of any kind, Sunstein shows that “choice architecture”—government-imposed structures that affect our choices—is inevitable, and hence that a form of paternalism cannot be avoided. He urges that there are profoundly moral reasons to ensure that choice architecture is helpful rather than harmful—and that it makes people’s lives better and longer.”
The Decline of Wikipedia
Tom Simonite in MIT Technology Review: “The sixth most widely used website in the world is not run anything like the others in the top 10. It is not operated by a sophisticated corporation but by a leaderless collection of volunteers who generally work under pseudonyms and habitually bicker with each other. It rarely tries new things in the hope of luring visitors; in fact, it has changed little in a decade. And yet every month 10 billion pages are viewed on the English version of Wikipedia alone. When a major news event takes place, such as the Boston Marathon bombings, complex, widely sourced entries spring up within hours and evolve by the minute. Because there is no other free information source like it, many online services rely on Wikipedia. Look something up on Google or ask Siri a question on your iPhone, and you’ll often get back tidbits of information pulled from the encyclopedia and delivered as straight-up facts.
Yet Wikipedia and its stated ambition to “compile the sum of all human knowledge” are in trouble. The volunteer workforce that built the project’s flagship, the English-language Wikipedia—and must defend it against vandalism, hoaxes, and manipulation—has shrunk by more than a third since 2007 and is still shrinking. Those participants left seem incapable of fixing the flaws that keep Wikipedia from becoming a high-quality encyclopedia by any standard, including the project’s own. Among the significant problems that aren’t getting resolved is the site’s skewed coverage: its entries on Pokemon and female porn stars are comprehensive, but its pages on female novelists or places in sub-Saharan Africa are sketchy. Authoritative entries remain elusive. Of the 1,000 articles that the project’s own volunteers have tagged as forming the core of a good encyclopedia, most don’t earn even Wikipedia’s own middle-ranking quality scores.
The main source of those problems is not mysterious….”
Chicago: Increase and improve City data
Initiative 14 of the Chicago Tech Plan: “The City will continue to increase and improve the quality of City data available internally and externally, and facilitate methods for analyzing that data to help create a smarter and more efficient city.”
Releasing data is a crucial component of creating an open and transparent government. Chicago is currently a leader in open data, capturing and publishing more than 400 machine-readable datasets to date. In 2012, Mayor Emanuel issued an executive order ensuring that the City continues to release new data, and empowering the Chief Data Officer to work with other City departments and agencies to develop new datasets. The City is following an aggressive schedule for releasing new datasets to the public and updating existing sets. It is also working to facilitate ways the City and others can use data to help improve City operations.
Source: https://web.archive.org/web/2000/https://www.chicago.gov/city/en/depts/mayor/iframe/plow_tracker.html
Open Data Success Story: ChicagoWorks
A collaboration between Alderman Ameya Pawar and local graphic design company 2pensmedia, ChicagoWorks is a free app that is changing the way Chicagoans interact with government. Using the app, residents can submit service requests directly to 311
and track the progress of reported issues. So far, more than 3,000 residents have downloaded the app.18
Open Data Success Story: SpotHero and Techstars Chicago
The app SpotHero makes residents’ lives easier by helping them find and reserve parking spots online. Developed in Chicago, the app had its start at Excelerate Labs, a Chicago start-up accelerator, now Techstars Chicago, that provides mentorship, training, and networking opportunities to 10 selected start-ups each year. After graduating from the program, ranked as one of the top 3 accelerators nationally, SpotHero attracted $2.5 million in VC funding. With this funding, the company is hiring new staff working to expand to other cities.19
Open Data Success Story: OpenGov Hack Night
Chicago boasts a community of “civic hackers” who are passionate about using technology to improve the city. An example of this passion in action is the OpenGov Hack Night. Organized by Open City, an organization that builds web apps and other tools using open government data, the Hack Night attracts civic hackers and curious residents eager to explore the intersection of open government data, smart cities, and technology. Every week, the Hack Night provides a collaborative environment for residents to learn about open data, working on cutting-edge projects and networking with passionate civic technologists.20
The New Eye of Government: Citizen Sentiment Analysis in Social Media
New paper by R. Arunachalam and S. Sarkar: “Governments across the world facing unique challenges today than ever before. In recent time, Arab Spring
phenomenon is an example of how Governments can be impacted if they ignore citizen sentiment. It is a growing trend that Governments are trying to move closer to the citizen-centric model, where the priorities and services would be driven according to citizen needs rather than Government capability. Such trends are
forcing the Governments in rethinking and reshaping their policies in citizen interactions. New disruptive technologies like cloud, mobile etc. are opening new opportunities to the Governments to enable innovations in such interactions.
The advent of Social Media is a recent addition to such disruptive socio-technical enablers. Governments are fast realizing that it can be a great vehicle to get closer to the citizens. It can provide deep insight in what citizens want. Thus, in the current gloomy climate of world economy today, Governments can reorganize and reprioritize the allocation limited funds, thereby creating maximum impact on citizens’ life. Building such insight is a non-trivial task because of the huge
volume of information that social media can generate. However, Sentiment Analysis or Opinion Mining can be a useful vehicle in this journey.
In this work, we presented a model and case study to analyze citizen sentiment from social media in helping the Governments to take decisions.”
Interview with Richard Thaler
Interview with Richard Thaler, University of Chicago behavioral economist, by Douglas Clement Editor, The Region: “…Region: One thing we haven’t talked about yet is your work on reciprocity and cooperation. And let’s use another British example, Golden Balls. You did some fascinating research on this British game show. Can you tell that story and what it illustrated?
Thaler: You know, it’s funny, this goes back to Gary’s line [about behavior in real markets as opposed to labs]. As you know, this game show ends in a prisoner’s dilemma. And there have been thousands of experiments run on one-shot prisoner’s dilemmas. We know that economic theory says that the rational strategy is to defect; theory says everyone will defect. It’s the dominant strategy.
In experiments, about 40 to 50 percent of the people cooperate, but it involves small stakes. In this paper we write about the actual game show, there’s one trial, a round in the actual game show—you may have seen the clip of it—where it’s not small stakes at all; it’s around 100,000 pounds. And that’s one of the things we were interested in: What happens when you raise the stakes?
This is what happens: You get a plot like this (see hand-drawn plot and actual plot). I just happened to have drawn this for another visitor, a grad student.
So, yes, the economists were right. If you raise the stakes, cooperation falls. But it falls to the same level you see in the lab. The interesting behavioral thing is, when the stakes are small, compared to what other people are playing for in the game show, then cooperation gets even higher.
This goes to bounded self-interest. Economists assume people are unboundedly unscrupulous—or I’ll say self-interested, a more polite term. But there have been lots of experiments where you leave a wallet out and depending on the place—I don’t remember the exact data—but a large percentage get returned. Now, some wallets also get picked clean first, but … so I wrote about this too. (He displays a photo of a roadside rhubarb stand.)
Region: What is this?
Thaler: This is significant. Notice the features of this. It’s a roadside stand; they’re selling rhubarb. And it’s got an honor box with a lock on it.
I think this is exactly the right model of human nature, that if you put this stuff out there, enough people will leave money that it’s worth the farmer’s time to put it out. But if you left the money in a box that was unlocked, somebody would take it.
Region: It takes just one dishonest person to “undo” the honesty of many others …
Thaler: Right. If you ask somebody directions, most people will tell you. It’s very fortunate that we don’t live in a society where everybody is out to take advantage of us. For instance, if you have work done in your house or on your car, there’s absolutely no way for you to monitor what they’re doing, unless you’re willing to spend the time watching them and you happen to know a lot about the work, materials and methods being used.
So it has to involve trust. Trust is really important in society, and anything we can do to increase trust is worthwhile. There’s probably nothing you could do to help an economy grow faster than to increase the amount of trust in society….
Smart Machines: IBM's Watson and the Era of Cognitive Computing
New book from Columbia Business School Publishing: “We are crossing a new frontier in the evolution of computing and entering the era of cognitive systems. The victory of IBM’s Watson on the television quiz show Jeopardy! revealed how scientists and engineers at IBM and elsewhere are pushing the boundaries of science and technology to create machines that sense, learn, reason, and interact with people in new ways to provide insight and advice.
In Smart Machines, John E. Kelly III, director of IBM Research, and Steve Hamm, a writer at IBM and a former business and technology journalist, introduce the fascinating world of “cognitive systems” to general audiences and provide a window into the future of computing. Cognitive systems promise to penetrate complexity and assist people and organizations in better decision making. They can help doctors evaluate and treat patients, augment the ways we see, anticipate major weather events, and contribute to smarter urban planning. Kelly and Hamm’s comprehensive perspective describes this technology inside and out and explains how it will help us conquer the harnessing and understanding of “big data,” one of the major computing challenges facing businesses and governments in the coming decades. Absorbing and impassioned, their book will inspire governments, academics, and the global tech industry to work together to power this exciting wave in innovation.”
See also Why cognitive systems?
In Smart Machines, John E. Kelly III, director of IBM Research, and Steve Hamm, a writer at IBM and a former business and technology journalist, introduce the fascinating world of “cognitive systems” to general audiences and provide a window into the future of computing. Cognitive systems promise to penetrate complexity and assist people and organizations in better decision making. They can help doctors evaluate and treat patients, augment the ways we see, anticipate major weather events, and contribute to smarter urban planning. Kelly and Hamm’s comprehensive perspective describes this technology inside and out and explains how it will help us conquer the harnessing and understanding of “big data,” one of the major computing challenges facing businesses and governments in the coming decades. Absorbing and impassioned, their book will inspire governments, academics, and the global tech industry to work together to power this exciting wave in innovation.”
See also Why cognitive systems?
Beyond Transparency
New book on Open Data and the Future of Civic Innovation: The rise of open data in the public sector has sparked innovation, driven efficiency, and fueled economic development. And in the vein of high-profile federal initiatives like Data.gov and the White House’s Open Government Initiative, more and more local governments are making their foray into the field with Chief Data Officers, open data policies, and open data catalogs.
While still emerging, we are seeing evidence of the transformative potential of open data in shaping the future of our civic life. It’s at the local level that government most directly impacts the lives of residents—providing clean parks, fighting crime, or issuing permits to open a new business. This is where there is the biggest opportunity to use open data to reimagine the relationship between citizens and government.
Beyond Transparency is a cross-disciplinary survey of the open data landscape, in which practitioners share their own stories of what they’ve accomplished with open civic data. It seeks to move beyond the rhetoric of transparency for transparency’s sake and towards action and problem solving. Through these stories, we examine what is needed to build an ecosystem in which open data can become the raw materials to drive more effective decision-making and efficient service delivery, spur economic activity, and empower citizens to take an active role in improving their own communities….
This book is a resource for (and by) practitioners inside and outside government—from the municipal chief information officer to the community organizer to the civic-minded entrepreneur. Beyond Transparency is intended to capture and distill the community’s learnings around open data for the past four years. And we know that the community is going to continue learning. That’s why, in addition to the print version of the book which you can order on Amazon, we’ve also published the digital version of this book on this site under a Creative Commons license. The full text of this site is on GitHub — which means that anyone can submit a pull request with a suggested edit. Help us improve this resource for the community and write the next edition of Beyond Transparency by submitting your pull requests.
Code for America is a national nonprofit committed to building a government for the people, by the people, that works in the 21st century. Over the past four years, CfA has worked with dozens of cities to support civic innovation through open data. You can support this work by contributing to the book on GitHub, joining the CfA volunteer community (the Brigade), or connecting your city with CfA.
GitHub and Government
New site: “Make government better, together. Stories of open source, open data, and open government.
This site is an open source effort to showcase best practices of open sourcing government. See something that you think could be better? Want to submit your own story? Simply fork the project and submit a pull request.
…
Ready to get started on GitHub? Here are some ideas that are easy to get your feet wet with.
Feedback Repository
GitHub’s about connecting with developers. Whether you’re an API publishing pro, or just getting started, creating a “feedback” repository can go a long way to connect your organization with the community. Get feedback from current and potential data consumers by creating a specific repository for them to contribute ideas and suggestions for types of data or other information they’d like to see opened. Here’s how:
- Create a new repository
- Choose your organization as the Owner
- Name the repository “feedback” or similar
- Click the checkbox to automatically create a
README.mdfile
- Set up your Readme
- Click
README.mdwithin your newly created repository - Click
Edit - Introduce yourself, describe why you’ve joined GitHub, what you’re hoping to do and what you’d like to learn from the development community. Encourage them to leave feedback through issues on the repository.
- Click
Sample text for your README.md:
# City of Gotham Feedback
We've just joined GitHub and want to know what data would be interesting to our development community?
Leave us comments via issues!
Open source a Dataset
Open sourcing a dataset can be as simple as uploading a .csv to GitHub and letting people know about it. Rather than publishing data as a zip file on your website or an FTP server, you can add the files through the GitHub.com web interface, or via the GitHub for Windows or GitHub for Mac native clients. Create a new repository to store your datasets – in many cases, it’s as easy as drag, drop, sync.
GitHub can host any file type (although open, non-binary files like .csvs tend to work best). Plus, GitHub supports rendering certain open data formats interactively such as the popular geospacial .geojson format. Once uploaded, citizens can view the files, and can even open issues or submit pull requests with proposed fixes.
Explore Open Source Civic Apps
There are many open source applications freely available on GitHub that were built just for government. Check them out, and see if it fits a need. Here are some examples:
- Adopt-a – This open source web app was created for the City of Boston in 2011 by Code for America fellows. It allows residents to “adopt” a hydrant and make sure it’s clear of snow in the winter so that emergency crews can locate them when needed. It has since been adopted in Chicago (for sidewalks), Seattle (for storm drains), and Honolulu (for tsunami sirens).
- StreetMix – Another creation of Code for America fellows (2013) this website, www.streetmix.net, allows anyone to create street sections in a way that is not only beautiful but educational, too. No downloading, no installing, no paying – make and save your creations right at the website. Great for internal or public community planning meetings.
- We The People – We The People, the White House’s petitions application hosted at petitions.whitehouse.gov is a Drupal module to allow citizens to submit and digitally sign petitions.
Open source something small
Chances are you’ve got something small you can open source. Check in with your web or new media team, and see if they’ve got something they’ve been dying to share or blog about, no matter how small. It can be snippet of analytics code, or maybe a small script used internally. It doesn’t even have to be code.
Post your website’s privacy policy, comment moderation policy, or terms of service and let the community weigh in before your next edit. No matter how small it is, getting your first open source project going is a great first step.
Improve an existing project
Does you agency use an existing open source project to conduct its own business? Open an issue on the project’s repository with a feature request or a bug you spot. Better yet, fork the project, and submit your improvements. Even if it’s one or two lines of code, such examples are great to blog about to showcase your efforts.
Don’t forget, this site is an open source project, too. Making an needed edit is another great way to get started.”
Seven Principles for Big Data and Resilience Projects
PopTech & Rockefeler Bellagio Fellows: “The following is a draft “Code of Conduct” that seeks to provide guidance on best practices for resilience building projects that leverage Big Data and Advanced Computing. These seven core principles serve to guide data projects to ensure they are socially just, encourage local wealth- & skill-creation, require informed consent, and be maintainable over long timeframes. This document is a work in progress, so we very much welcome feedback. Our aim is not to enforce these principles on others but rather to hold ourselves accountable and in the process encourage others to do the same. Initial versions of this draft were written during the 2013 PopTech & Rockefeller Foundation workshop in Bellagio, August 2013.
Open Source Data Tools – Wherever possible, data analytics and manipulation tools should be open source, architecture independent and broadly prevalent (R, python, etc.). Open source, hackable tools are generative, and building generative capacity is an important element of resilience….
Transparent Data Infrastructure – Infrastructure for data collection and storage should operate based on transparent standards to maximize the number of users that can interact with the infrastructure. Data infrastructure should strive for built-in documentation, be extensive and provide easy access. Data is only as useful to the data scientist as her/his understanding of its collection is correct…
Develop and Maintain Local Skills – Make “Data Literacy” more widespread. Leverage local data labor and build on existing skills. The key and most constraint ingredient to effective data solutions remains human skill/knowledge and needs to be retained locally. In doing so, consider cultural issues and language. Catalyze the next generation of data scientists and generate new required skills in the cities where the data is being collected…
Local Data Ownership – Use Creative Commons and licenses that state that data is not to be used for commercial purposes. The community directly owns the data it generates, along with the learning algorithms (machine learning classifiers) and derivatives. Strong data protection protocols need to be in place to protect identities and personally identifying information…
Ethical Data Sharing – Adopt existing data sharing protocols like the ICRC’s (2013). Permission for sharing is essential. How the data will be used should be clearly articulated. An opt in approach should be the preference wherever possible, and the ability for individuals to remove themselves from a data set after it has been collected must always be an option. Projects should always explicitly state which third parties will get access to data, if any, so that it is clear who will be able to access and use the data…
Right Not To Be Sensed – Local communities have a right not to be sensed. Large scale city sensing projects must have a clear framework for how people are able to be involved or choose not to participate. All too often, sensing projects are established without any ethical framework or any commitment to informed consent. It is essential that the collection of any sensitive data, from social and mobile data to video and photographic records of houses, streets and individuals, is done with full public knowledge, community discussion, and the ability to opt out…
Learning from Mistakes – Big Data and Resilience projects need to be open to face, report, and discuss failures. Big Data technology is still very much in a learning phase. Failure and the learning and insights resulting from it should be accepted and appreciated. Without admitting what does not work we are not learning effectively as a community. Quality control and assessment for data-driven solutions is notably harder than comparable efforts in other technology fields. The uncertainty about quality of the solution is created by the uncertainty inherent in data…”