Klint Finley in Wired: “When her oldest daughter was diagnosed with asthma last March, Yodi Stanton installed air pollution sensors around her London home. She wanted to see if there were links between her daughter’s attacks and the number of dirty particles in the air.
Ultimately, she wasn’t able to find a correlation. But maybe some else will find gold in this data. Instead of keeping it to herself, Stanton streamed the data to a public online service she helped create called OpenSensors.io, and from there, it can be accessed and analyzed by public health researchers, journalists, and other concerned citizens—or even feed into online applications that can make use of it.
OpenSensors is a service where anyone can publish real-time sensor data. Think of it as Twitter for sensors. You can publish a stream of data from virtually any source to the company’s computer servers—or subscribe to streams of data coming from others, using it for your own research, gadget, or online app…..(More)”.
Donated Personal Data Could Aid Lifestyle Researchers
Anya Skatova and James Goulding at Scientific American: “In the future it will be possible to donate our personal data to charitable causes. All sorts of data is recorded about us as we go about our daily lives—what we buy, where we go, who we call on the phone and our use of the internet. The time is approaching when we could liberate that data in support of good causes. Given many people already donate precious resources such as money or even blood for the benefit of society at large, this step might not be far away.
How could donated data help our society? Data is a rich source of people’s habits—shopping data from loyalty cards, for example, can reflect our diet. If people donate their personal data for research, analysis of it can provide scope to improve everything from understandings of the dietary pre-cursors to diabetes to the impact of lifestyle on heart disease.
But there are vital issues around the collection and use of personal data that must be addressed. Donation rests on trust: would people give their data away knowing that researchers will examine it, even if anonymously? Would they want others scrutinising their diet, or their shopping habits? Would people feel their privacy was being invaded, even if they had chosen to donate to help medical research?
Who would donate data to research?
Our recent research has found that around 60% of people are willing to donate their data for uses that will benefit the public. In some ways this is not surprising. As previous research demonstrated, people help others and take part in various pro-social activities. People voluntarily give to benefit society at large: they donate money to charities, or run marathons to raise money without knowing exactly who will benefit; they give blood, bone marrow, or even organs. They often do so out of concern for the welfare of others, or in other cases for more selfish reasons, such as enhancing their reputation, professional benefit, or just to feel good about themselves….
Donating data is certainly different from donating money or blood—there is very little obvious cost to us when donating our data. Unlike blood or money, data is something for which most of us have no use, nor has it any real monetary value to those of us that generate it, but it becomes valuable when combined with the data of others.
Currently companies leverage personal data to make money because it provides them with sophisticated understanding of consumer behaviour, from which they in turn can profit. But shouldn’t our data benefit us too?…(More)”
Computer-based personality judgments are more accurate than those made by humans
Paper by Wu Youyou, Michal Kosinski and David Stillwell at PNAS (Proceedings of the National Academy of Sciences): “Judging others’ personalities is an essential skill in successful social living, as personality is a key driver behind people’s interactions, behaviors, and emotions. Although accurate personality judgments stem from social-cognitive skills, developments in machine learning show that computer models can also make valid judgments. This study compares the accuracy of human and computer-based personality judgments, using a sample of 86,220 volunteers who completed a 100-item personality questionnaire. We show that (i) computer predictions based on a generic digital footprint (Facebook Likes) are more accurate (r = 0.56) than those made by the participants’ Facebook friends using a personality questionnaire (r = 0.49); (ii) computer models show higher interjudge agreement; and (iii) computer personality judgments have higher external validity when predicting life outcomes such as substance use, political attitudes, and physical health; for some outcomes, they even outperform the self-rated personality scores. Computers outpacing humans in personality judgment presents significant opportunities and challenges in the areas of psychological assessment, marketing, and privacy…(More)”.
OECD Data is in beta
OECD Data Beta: “Find, compare and share the latest OECD data: charts, maps, tables and related publications …”
OECD Data Lab: “The OECD Data Lab is your chance to participate in shaping the future of how OECD data is presented online.
We invite you to explore our data tools and visualisations and give us your thoughts…”
Driving Solutions To Build Smarter Cities
Uber Blogpost: “Since day one, Uber’s mission has been to improve city life by connecting people with safe, reliable, hassle-free rides through the use of technology. As we have grown, so has our ability to share information that can serve a greater good. By sharing data with municipal partners we can help cities become more liveable, resilient, and innovative.
Today, Boston joins Uber in a first-of-its-kind partnership to help expand the city’s capability to solve problems by leveraging data provided by Uber. The data will provide new insights to help manage urban growth, relieve traffic congestion, expand public transportation, and reduce greenhouse gas emissions….
Uber is committed to sharing data, compiled in a manner that protects the privacy of riders and drivers, that can help cities target solutions for their unique challenges. This initiative presents a new standard for the future development of our cities – in communities big or small we can bridge data and policy to build sophisticated solutions for a stronger society. For this effort, we will deliver anonymized trip-level data by ZIP Code Tabulation Area (ZCTA) which is the U.S. Census’ geographical representation of zip codes….
How Can This Data Help Cities?
To date, most cities have not had access to granular data describing the flows and trends of private traffic. The data provided by Uber will help policymakers and city planners develop a more detailed understanding of where people in the city need to go and how to improve traffic flows and congestion to get them there, with data-driven decisions about:
- Vision Zero-related passenger safety policies
- Traffic planning
- Congestion reduction
- Flow of residents across the City
- Impact of events, disasters and other activities on City transportation
- Identification of zoning changes and needs
- Creation or reduction of parking
- Facilitation of additional transportation solutions for marquee City initiatives
This data can be utilized to help cities achieve their transportation and planning goals without compromising personal privacy. By helping cities understand the way their residents move, we can work together to make our communities stronger. Smart Cities can benefit from smart data and we will champion municipal efforts devoted to achieving data-driven urban growth, mobility and safety for communities (More).”
Exploring the Factors Influencing the Adoption of Open Government Data by Private Organisations
Article by Maaike Kaasenbrood et al in the International Journal of Public Administration in the Digital Age (IJPADA): “Governments are increasingly opening their datasets, allowing use. Drawing on a multi-method approach, this paper develops a framework for identifying factors influencing the adoption of Open Government Data (OGD) by private organisations. Subsequently the framework was used to analyse five cases. The findings reveal that for private organizations to use OGD, the content and source of the data needs to be clear, a usable open data license must be present and continuity of data updates needs to be ensured. For none of the investigated private organisations OGD was key to their existence. Organisations use OGD in addition to, or as an enhancement of their core activities. As the official OGD-channels are bypassed trustworthy relationships between the data user and data provider were found to play an important role in finding and using OGD. The findings of this study can help government agencies in developing OGD-policies and stimulating OGD-use….(More).”
The Next 5 Years in Open Data: 3 Key Trends to Watch
Kevin Merritt (Socrata Inc.) at GovTech: “2014 was a pivotal year in the evolution of open data for one simple and powerful reason – it went mainstream and was widely adopted on just about every continent. Open data is now table stakes. Any government that is not participating in open data is behind its peers…The move toward data-driven government will absolutely accelerate between 2015 and 2020, thanks to three key trends.
1. Comparative Analytics for Government Employees
The first noteworthy trend that will drive open data change in 2015 is that open data technology offerings will deliver first-class benefits to public-sector employees. This means government employees will be able to derive enormous insights from their own data and act on them in a deep, meaningful and analytical way. Until only recently, the primary beneficiaries of open data initiatives were external stakeholders: developers and entrepreneurs; scientists, researchers, analysts, journalists and economists; and ordinary citizens lacking technical training. The open data movement, until now, has ignored an important class of stakeholders – government employees….
2. Increased Global Expansion for Open Data
The second major trend fueling data-driven government is that 2015 will be a year of accelerating adoption of open data internationally.
Right now, for example, open data is being adopted prolifically in Europe, Latin America, Australia, New Zealand and Canada.
….
We will continue to see international governments adopt open data in 2015 for a variety of reasons. Northern European governments, for instance, are interested in efficiency and performance right now; Southern European governments, on the other hand, are currently focused on transparency, trust, and credibility. Despite the different motivations, the open data technology solutions are the same. And, looking out beyond 2015, it’s important to note that Southern European governments will also adopt open data to help increase job creation and improve delivery of services.
3. “Open Data” Will Simply Become “Government Data”
The third trend that we’ll see in the arena of open data lies a little further out on the horizon, and it will be surprising. In my opinion, the term “open data” may disappear within a decade; and in its place will simply be the term “government data.”
That’s because virtually all government data will be open data by 2020; and government data will be everywhere it needs to be – available to the public as fast as it’s created, processed and accumulated….(More).”
The Black Box Society
New book by Frank Pasquale on “The Secret Algorithms That Control Money and Information”: “Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives.
Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior….(More).”
The Participatory Approach to Open Data
at the SmartChicagoCollaborative: “…Having vast stores of government data is great, but to make this data useful – powerful – takes a different type of approach. The next step in the open data movement will be about participatory data.
Systems that talk back
One of the great advantages behind Chicago’s 311 ServiceTracker is that when you submit something to the system, the system has the capacity to talk back giving you a tracking number and an option to get email updates about your request. What also happens is that as soon as you enter your request, the data get automatically uploaded into the city’s data portal giving other 311 apps like SeeClickFix and access to the information as well…
Participatory Legislative Apps
We already see a number of apps that allow user to actively participate using legislative data.
At the Federal level, apps like PopVox allow users to find and track legislation that’s making it’s way through Congress. The app then allows users to vote if they approve or disapprove of a particular bill. You can then send explain your reasoning in a message that will be sent to all of your elected officials. The app makes it easier for residents to send feedback on legislation by creating a user interface that cuts through the somewhat difficult process of keeping tabs on legislation.
At the state level, New York’s OpenLegislation site allows users to search for state legislation and provide commentary on each resolution.
At the local level, apps like Councilmatic allows users to post comments on city legislation – but these comments aren’t mailed or sent to alderman the same way PopVox does. The interaction only works if the alderman are also using Councilmatic to receive feedback…
Crowdsourced Data
Chicago has hardwired several datasets into their computer systems, meaning that this data is automatically updated as the city does the people’s business.
But city governments can’t be everywhere at once. There are a number of apps that are designed to gather information from residents to better understand what’s going on their cities.
In Gary, the city partnered with the University of Chicago and LocalData to collect information on the state of buildings in Gary, IN. LocalData is also being used in Chicago, Houston, and Detroit by both city governments and non-profit organizations.
Another method the City of Chicago has been using to crowdsource data has been to put several of their datasets on GitHub and accept pull requests on that data. (A pull request is when one developer makes a change to a code repository and asks the original owner to merge the new changes into the original repository.) An example of this is bikers adding private bike rack locations to the city’s own bike rack dataset.
Going from crowdsourced to participatory
Shareabouts is a mapping platform by OpenPlans that gives city the ability to collect resident input on city infrastructure. Chicago’s Divvy Bikeshare program is using the tool to collect resident feedback on where the new Divvy stations should go. The app allows users to comment on suggested locations and share the discussion on social media.
But perhaps the most unique participatory app has been piloted by the City of South Bend, Indiana. CityVoice is a Code for America fellowship project designed to get resident feedback on abandoned buildings in South Bend…. (More)”
Three Things that a Good Infographic Needs
Antonio Salazar at BBVA Open Mind: “…A good infographic can save lives. Or almost, like the map drawn by Dr. Snow, who in 1854 tried to prove —with not much success, it’s true— that cholera spread by water. Not all graphics can be so ambitious, but when they hope to become a very powerful vehicle for knowledge, these are three elements that an excellent infographic should have. In order:
1. Rigor
This is taken for granted. Or not. This chart from Pravda (not Miuccia, the Soviet daily) is manipulated graphically to give the impression of growth:
But rigor does not only mean accuracy, it means respect for the data in a broader sense. Letting them speak beyond the ornamentation, avoiding the “ducks” referred to by Edward R. Tufte. Guiding our eye so the reader can discover them one step at a time. This brings us to the second quality:
2. Depth
The beauty of the data sometimes lies in their implications and their connections. This is why a good infographic should be understandable at first sight, but also, when viewed for a second time, enable the reader to take pleasure in the data. Perhaps in the process of reasoning, both analytical and visual, that a graphic requires, we may come to a conclusion we hadn’t imagined. This is why a good infographic should have layers of information. Any infographic by Francesco Franchi is a wonder of visual richness and provides hours of entertainment and learning.
Infographic by Francesco Franchi and Alessandro Giberti on Chinese imports published in IL
3. Narration
Storytelling in today’s parlance. When time, space and even meteorology are combined skillfully to tell a story through the data….”