FehrAdvice (Switzerland):” Der im “Behavioral Economics Guide 2014″ erschienene Beitrag von FehrAdvice zur Behavioral Change Matrix steht Ihnen nun auch als Einzeldokument zum Download zur Verfügung”. Download (PDF, 487KB) (English)
4 things you didn't know about civic crowdfunding
That’s worth, very roughly, $1.2 billion a year worldwide per year. Within that subset, I’ve been looking at civic projects, people who are producing shared goods for a community or broader public. These projects build on histories of community fundraising and resource pooling that long predate the Internet; what’s changed is that we’ve created a scalable, portable platform model to carry out these existing practices.
So how is civic crowdfunding doing? When I started this project very few people were using that term. No one had done any aggregated data collection and published it. So I decided to take on that task. I collected data on 1224 projects between 2010 and March 2014, which raised $10.74 million in just over three years. I focused on seven platforms: Catarse (Brazil), Citizinvestor (US), Goteo (Spain), IOBY (US), Kickstarter (US), Neighbor.ly (US), and Spacehive (UK). I didn’t collect everything. There’s a new crowdfunding site every week that may or may not have a few civic projects on it. If you’re interested in my methodology, check out Chapter 2. I don’t pretend to have captured every civic project that has ever existed, but I’m working with a representative sample.
Here are four things I found out about civic crowdfunding.
- Civic crowdfunding is small-scale but relatively successful, and it has big ambitions. …
- Civic crowdfunding started as a hobby for green space projects by local non-profits, but larger organizations are getting involved. …
- Civic crowdfunding is concentrated in cities (especially those where platforms are based). …
- Civic crowdfunding has the same highly unequal distributional tendencies as other crowd markets. …”
Assessing Social Value in Open Data Initiatives: A Framework
Paper by Gianluigi Viscusi, Marco Castelli and Carlo Batini in Future Internet Journal: “Open data initiatives are characterized, in several countries, by a great extension of the number of data sets made available for access by public administrations, constituencies, businesses and other actors, such as journalists, international institutions and academics, to mention a few. However, most of the open data sets rely on selection criteria, based on a technology-driven perspective, rather than a focus on the potential public and social value of data to be published. Several experiences and reports confirm this issue, such as those of the Open Data Census. However, there are also relevant best practices. The goal of this paper is to investigate the different dimensions of a framework suitable to support public administrations, as well as constituencies, in assessing and benchmarking the social value of open data initiatives. The framework is tested on three initiatives, referring to three different countries, Italy, the United Kingdom and Tunisia. The countries have been selected to provide a focus on European and Mediterranean countries, considering also the difference in legal frameworks (civic law vs. common law countries)”
Google's fact-checking bots build vast knowledge bank
Hal Hodson in the New Scientist: “The search giant is automatically building Knowledge Vault, a massive database that could give us unprecedented access to the world’s facts
GOOGLE is building the largest store of knowledge in human history – and it’s doing so without any human help. Instead, Knowledge Vault autonomously gathers and merges information from across the web into a single base of facts about the world, and the people and objects in it.
The breadth and accuracy of this gathered knowledge is already becoming the foundation of systems that allow robots and smartphones to understand what people ask them. It promises to let Google answer questions like an oracle rather than a search engine, and even to turn a new lens on human history.
Knowledge Vault is a type of “knowledge base” – a system that stores information so that machines as well as people can read it. Where a database deals with numbers, a knowledge base deals with facts. When you type “Where was Madonna born” into Google, for example, the place given is pulled from Google’s existing knowledge base.
This existing base, called Knowledge Graph, relies on crowdsourcing to expand its information. But the firm noticed that growth was stalling; humans could only take it so far. So Google decided it needed to automate the process. It started building the Vault by using an algorithm to automatically pull in information from all over the web, using machine learning to turn the raw data into usable pieces of knowledge.
Knowledge Vault has pulled in 1.6 billion facts to date. Of these, 271 million are rated as “confident facts”, to which Google’s model ascribes a more than 90 per cent chance of being true. It does this by cross-referencing new facts with what it already knows.
“It’s a hugely impressive thing that they are pulling off,” says Fabian Suchanek, a data scientist at Télécom ParisTech in France.
Google’s Knowledge Graph is currently bigger than the Knowledge Vault, but it only includes manually integrated sources such as the CIA Factbook.
Knowledge Vault offers Google fast, automatic expansion of its knowledge – and it’s only going to get bigger. As well as the ability to analyse text on a webpage for facts to feed its knowledge base, Google can also peer under the surface of the web, hunting for hidden sources of data such as the figures that feed Amazon product pages, for example.
Tom Austin, a technology analyst at Gartner in Boston, says that the world’s biggest technology companies are racing to build similar vaults. “Google, Microsoft, Facebook, Amazon and IBM are all building them, and they’re tackling these enormous problems that we would never even have thought of trying 10 years ago,” he says.
The potential of a machine system that has the whole of human knowledge at its fingertips is huge. One of the first applications will be virtual personal assistants that go way beyond what Siri and Google Now are capable of, says Austin…”
Big Data: Google Searches Predict Unemployment in Finland
Paper by Tuhkuri, Joonas: “There are over 3 billion searches globally on Google every day. This report examines whether Google search queries can be used to predict the present and the near future unemployment rate in Finland. Predicting the present and the near future is of interest, as the official records of the state of the economy are published with a delay. To assess the information contained in Google search queries, the report compares a simple predictive model of unemployment to a model that contains a variable, Google Index, formed from Google data. In addition, cross-correlation analysis and Granger-causality tests are performed. Compared to a simple benchmark, Google search queries improve the prediction of the present by 10 % measured by mean absolute error. Moreover, predictions using search terms perform 39 % better over the benchmark for near future unemployment 3 months ahead. Google search queries also tend to improve the prediction accuracy around turning points. The results suggest that Google searches contain useful information of the present and the near future unemployment rate in Finland.”
How technology is beating corruption
Jim Yong Kim at World Economic Forum: “Good governance is critical for all countries around the world today. When it doesn’t exist, many governments fail to deliver public services effectively, health and education services are often substandard and corruption persists in rich and poor countries alike, choking opportunity and growth. It will be difficult to reduce extreme poverty — let alone end it — without addressing the importance of good governance.
But this is not a hopeless situation. In fact, a new wave of progress on governance suggests we may be on the threshold of a transformational era. Countries are tapping into some of the most powerful forces in the world today to improve services and transparency. These forces include the spread of information technology and its convergence with grassroots movements for transparency, accountability and citizen empowerment. In some places, this convergence is easing the path to better-performing and more accountable governments.
The Philippines is a good example of a country embracing good governance. During a recent visit, I spoke with President Benigno Aquino about his plans to reduce poverty, create jobs, and ensure that economic growth is inclusive. He talked in great detail about how improving governance is a fundamentally important part of their strategy. The government has opened government data and contract information so citizens can see how their tax money is spent. The Foreign Aid Transparency Hub, launched after Typhoon Yolanda, offers a real-time look at pledges made and money delivered for typhoon recovery. Geo-tagging tools monitor assistance for people affected by the typhoon.
Opening budgets to scrutiny
This type of openness is spreading. Now many countries that once withheld information are opening their data and budgets to public scrutiny.
Late last year, my organization, the World Bank Group, established the Open Budgets Portal, a repository for budget data worldwide. So far, 13 countries have posted their entire public spending datasets online — including Togo, the first fragile state to do so.
In 2011, we helped Moldova become the first country in central Europe to launch an open data portal and put its expenditures online. Now the public and media can access more than 700 datasets, and are asking for more.
The original epicenter of the Arab Spring, Tunisia, recently passed a new constitution and is developing the first open budget data portal in the Middle East and North Africa. Tunisia has taken steps towards citizen engagement by developing a citizens’ budget and civil society-led platforms such as Marsoum41, to support freedom of information requests, including via mobile.
Using technology to improve services
Countries also are tapping into technology to improve public and private services. Estonia is famous for building an information technology infrastructure that has permitted widespread use of electronic services — everything from filing taxes online to filling doctors’ drug prescriptions.
In La Paz, Bolivia, a citizen feedback system known as OnTrack allows residents of one of the city’s marginalized neighbourhoods to send a text message on their mobile phones to provide feedback, make suggestions or report a problem related to public services.
In Pakistan, government departments in Punjab are using smart phones to collect real-time data on the activities of government field staff — including photos and geo-tags — to help reduce absenteeism and lax performance….”
Government opens up: 10k active government users on GitHub
GitHub: “In the summer of 2009, The New York Senate was the first government organization to post code to GitHub, and that fall, Washington DC quickly followed suit. By 2011, cities like Miami, Chicago, and New York; Australian, Canadian, and British government initiatives like Gov.uk; and US Federal agencies like the Federal Communications Commission, General Services Administration, NASA, and Consumer Financial Protection Bureau were all coding in the open as they began to reimagine government for the 21st century.
Fast forward to just last year: The White House Open Data Policy is published as a collaborative, living document, San Francisco laws are now forkable, and government agencies are accepting pull requests from every day developers.
This is all part of a larger trend towards government adopting open source practices and workflows — a trend that spans not only software, but data, and policy as well — and the movement shows no signs of slowing, with government usage on GitHub nearly tripling in the past year, to exceed 10,000 active government users today.
How government uses GitHub
When government works in the open, it acknowledges the idea that government is the world’s largest and longest-running open source project. Open data efforts, efforts like the City of Philadelphia’s open flu shot spec, release machine-readable data in open, immediately consumable formats, inviting feedback (and corrections) from the general public, and fundamentally exposing who made what change when, a necessary check on democracy.
Unlike the private sector, however, where open sourcing the “secret sauce” may hurt the bottom line, with government, we’re all on the same team. With the exception of say, football, Illinois and Wisconsin don’t compete with one another, nor are the types of challenges they face unique. Shared code prevents reinventing the wheel and helps taxpayer dollars go further, with efforts like the White House’s recently released Digital Services Playbook, an effort which invites every day citizens to play a role in making government better, one commit at a time.
However, not all government code is open source. We see that adopting these open source workflows for open collaboration within an agency (or with outside contractors) similarly breaks down bureaucratic walls, and gives like-minded teams the opportunity to work together on common challenges.
Government Today
It’s hard to believe that what started with a single repository just five years ago, has blossomed into a movement where today, more than 10,000 government employees use GitHub to collaborate on code, data, and policy each day….
You can learn more about GitHub in government at government.github.com, and if you’re a government employee, be sure to join our semi-private peer group to learn best practices for collaborating on software, data, and policy in the open.”
City Service Development Kit (CitySDK)
What is CitySDK?: “Helping cities to open their data and giving developers the tools they need, the CitySDK aims for a step change in how to deliver services in urban environments. With governments around the world looking at open data as a kick start for their economies, CitySDK provides better and easier ways for the cities throughout the Europe to release their data in a format that is easy for the developers to re-use.
Taking the best practices around the world the project will foresee the development of a toolkit – CitySDK v1.0 – that can be used by any city looking to create a sustainable infrastructure of “city apps”.
Piloting the CitySDK
The Project focuses on three Pilot domains: Smart Participation, Smart Mobility and Smart Tourism. Within each of the three domains, a large-scale Lead Pilot is carried out in one city. The experiences of the Lead Pilot will be applied in the Replication Pilots in other Partner cities.
Funding
CitySDK is a 6.8 million Euro project, part funded by the European Commission. It is a Pilot Type B within the ICT Policy Support Programme of the Competitiveness and Framework Programme. It runs from January 2012-October 2014.”
Station display shows waiting commuters the best train carriage to get on
Springwise: “When a train arrives into a station, it’s often the case that travelers aren’t spread evenly along the platform and are huddled in the same spot. This is annoying for both commuters and operators because it means carriages get full while others are left empty and leads to longer boarding times. In the Netherlands, the NS Reisplanner Xtra app has already offered train users a way to find a seat using their smartphone. Now the country’s Edenspiekermann design agency has developed a platform-length LED display which provides real-time information on carriage crowdedness and other details.
Created for train operators ProRail and NS with the help of design researchers STBY, the service consists of a 180-meter long color LED strip that spans the length of the platform. The display aims to give commuters all the information they need to know where they should wait to get on the right carriage. Numbers show whether the carriage is first or standard class, and the exact position the doors will be is also marked. Symbols show the carriages that are best for bikes, buggies, wheelchairs and large luggage, as well as quiet carriages. The boards also work with infrared sensors located on each train that detect how full each carriage is. A green strip means there are seats available, a yellow strip indicates that the carriage is fairly crowded and a red strip means it’s full.
Website: www.edenspiekermann.com“
Public Innovation through Collaboration and Design
New book edited by Christopher Ansell, and Jacob Torfing: “While innovation has long been a major topic of research and scholarly interest for the private sector, it is still an emerging theme in the field of public management. While ‘results-oriented’ public management may be here to stay, scholars and practitioners are now shifting their attention to the process of management and to how the public sector can create ‘value’.
This volume provides insights for practitioners who are interested in developing an innovation strategy for their city, agency, or administration and will be essential reading for scholars, practitioners and students in the field of public policy and public administration.
Contents: