Politwoops: “An archive of public tweets, deleted by politicians. Explore the tweets they would prefer you couldn’t see.”
Urban Exposures: How Cell Phone Data Helps Us Better Understand Human Exposure To Air Pollution
Senseable City Lab: “Global urbanization has led to one of the world’s most pressing environmental health concerns: the increasing number of people contributing to and being affected by air pollution, leading to 7 million early deaths each year. The key issue is human exposure to pollution within cities and the consequential effects on human health.
With new research conducted at MIT’s Senseable City Lab, human exposure to air pollution can now be accurately quantified at an unprecedented scale. Researchers mapped the movements of several million people using ubiquitous cell phone data, and intersected this information with neighborhood air pollution measures. Covering the expanse of New York City and its 8.5 million inhabitants, the study reveals where and when New Yorkers are most at risk of exposure to air pollution – with major implications for environment and public health policy… (More)”
Crowdsourcing the Egyptian Constitution
Tofigh Maboudi and Ghazal P. Nadi in Political Research Quarterly: “Drawing on empirical evidence from online citizen feedback on the 2012 Egyptian Constitution, we demonstrate that despite normative skepticism about implications of participatory constitution making, citizen participation matters. Using data of more than 650,000 online votes and comments on the constitution, we find that draft provisions with higher public approval are less likely to change and those with lower approval are more likely to change. We also find that Articles related to rights and freedoms are more likely to change based on online public input. Finally, following the boycott of the Constituent Assembly by non-Islamists, changes in draft Articles based on public feedback drop sharply. These findings highlight the conditions under which participatory constitution making becomes more effective. First, consensus among citizens over the most salient issues increases the probability that those issues would be successfully incorporated in the constitution. Second, without ex ante elite agreement over the design of the constitution, it becomes difficult to account for citizen proposals amid political clash between elites…(More)”.
Crowdsourcing Medical Data Through Gaming
Felix Morgan in The Austin Chronicle: “Video games have changed the way we play, but they also have the potential to change the way we research and solve problems, in fields such as health care and education. One game that’s made waves in medical research is Sea Hero Quest. This smartphone game has created a groundbreaking approach to data collection, leading to an earlier diagnosis of dementia. So far, 2.5 million people have played the game, providing scientists with years’ worth of data across borders and demographics.
By offering this game as a free mobile app, researchers are overcoming the ever-present problems of small sample sizes and time-consuming data gathering in empirical research. Sea Hero Quest was created by Glitchers, partnering with University College London, University of East Anglia, and Alzheimer’s Research. As players navigate mazes, shoot flares into baskets, and photograph sea creatures, they answer simple demographic questions and generate rich data sets.
“The idea of crowdsourced data-gathering games for research is a new and exciting method of obtaining data that would be prohibitively expensive otherwise,” says Paul Toprac, who along with his colleague Matt O’Hair, run the Simulation and Game Applications (SAGA) Lab at University of Texas Austin. Their team helps researchers across campus and in the private sector design, implement, and find funding for video game-based research.
O’Hair sees a lot of potential for Sea Hero Quest and other research-based games. “One of the greatest parts about the SAGA Lab is that we get to help researchers make strides in these kinds of fields,” he says.
The idea of using crowdsourcing for data collection is relatively new, but using gaming for research is something that has been well established. Last year at SXSW, Nolan Bushnell, the founder of Atari, made a statement that video games were the key to understanding and treating dementia and related issues, which certainly seems possible based on the preliminary results from Sea Hero Quest. “We have had about 35 years of research using games as a medium,” Toprac says. “However, only recently have we used games as a tool for explicit data gathering.”…(More)”
Protecting One’s Own Privacy in a Big Data Economy
Anita L. Allen in the Harvard Law Review Forum: “Big Data is the vast quantities of information amenable to large-scale collection, storage, and analysis. Using such data, companies and researchers can deploy complex algorithms and artificial intelligence technologies to reveal otherwise unascertained patterns, links, behaviors, trends, identities, and practical knowledge. The information that comprises Big Data arises from government and business practices, consumer transactions, and the digital applications sometimes referred to as the “Internet of Things.” Individuals invisibly contribute to Big Data whenever they live digital lifestyles or otherwise participate in the digital economy, such as when they shop with a credit card, get treated at a hospital, apply for a job online, research a topic on Google, or post on Facebook.
Privacy advocates and civil libertarians say Big Data amounts to digital surveillance that potentially results in unwanted personal disclosures, identity theft, and discrimination in contexts such as employment, housing, and financial services. These advocates and activists say typical consumers and internet users do not understand the extent to which their activities generate data that is being collected, analyzed, and put to use for varied governmental and business purposes.
I have argued elsewhere that individuals have a moral obligation to respect not only other people’s privacy but also their own. Here, I wish to comment first on whether the notion that individuals have a moral obligation to protect their own information privacy is rendered utterly implausible by current and likely future Big Data practices; and on whether a conception of an ethical duty to self-help in the Big Data context may be more pragmatically framed as a duty to be part of collective actions encouraging business and government to adopt more robust privacy protections and data security measures….(More)”
International Open Data Roadmap
IODC16: We have entered the next phase in the evolution of the open data movement. Just making data publicly available can no longer be the beginning and end of every conversation about open data. The focus of the movement is now shifting to building open data communities, and an increasingly sophisticated network of communities have begun to make data truly useful in addressing a myriad of problems facing citizens and their governments around the world:
- More than 40 national and local governments have already committed to implement the principles of the International Open Data Charter;
- Open data is central to many commitments made this year by world leaders, including the Sustainable Development Goals (SDGs), the Paris Climate Agreement, and the G20 Anti Corruption Data Principles; and
- Open data is also an increasingly local issue, as hundreds of cities and sub-national governments implement open data policies to drive transparency, economic growth, and service delivery in close collaboration with citizens.
To further accelerate collaboration and increase the impact of open data activities globally, the Government of Spain, the International Development Research Centre, the World Bank, and the Open Data for Development Network recently hosted the fourth International Open Data Conference (IODC) on October 6-7, 2106 in Madrid, Spain.
Under the theme of Global Goals, Local Impact, the fourth IODC reconvened an ever expanding open data community to showcase best practices, confront shared challenges, and deepen global and regional collaboration in an effort to maximize the impact of open data. Supported by a full online archive of the 80+ sessions and 20+ special events held in Madrid during the first week of October 2016, this report reflects on the discussions and debates that took place, as well as the information shared on a wide range of vibrant global initiatives, in order to map out the road ahead, strengthen cohesion among existing efforts, and explore new ways to use open data to drive social and economic inclusion around the world….(More)”
Empirical data on the privacy paradox
Benjamin Wittes and Emma Kohse at Brookings: “The contemporary debate about the effects of new technology on individual privacy centers on the idea that privacy is an eroding value. The erosion is ongoing and takes place because of the government and big corporations that collect data on us all: In the consumer space, technology and the companies that create it erode privacy, as consumers trade away their solitude either unknowingly or in exchange for convenience and efficiency.
On January 13, we released a Brookings paper that challenges this idea. Entitled, “The Privacy Paradox II: Measuring the Privacy Benefits of Privacy Threats,” we try to measure the extent to which this focus ignores the significant privacy benefits of the technologies that concern privacy advocates. And we conclude that quantifiable effects in consumer behavior strongly support the reality of these benefits.
In 2015, one of us, writing with Jodie Liu, laid out the basic idea last year in a paper published by Brookings called “The Privacy Paradox: the Privacy Benefits of Privacy Threats.” (The title, incidentally, became the name of Lawfare’s privacy-oriented subsidiary page.) Individuals, we argued, might be more concerned with keeping private information from specific people—friends, neighbors, parents, or even store clerks—than from large, remote corporations, and they might actively prefer to give information remote corporations by way of shielding it from those immediately around them. By failing to associate this concern with the concept of privacy, academic and public debates tends to ignore countervailing privacy benefits associated with privacy threats, and thereby keeps score in a way biased toward the threats side of the ledger.To cite a few examples, an individual may choose to use a Kindle e-reader to read Fifty Shades of Grey precisely because she values the privacy benefit of hiding her book choice from the eyes of people on the bus or the store clerk at the book store, rather than for reasons of mere convenience. This privacy benefit, for many consumers, can outweigh the privacy concern presented by Amazon’s data mining. At the very least, the privacy benefits of the Kindle should enter into the discussion.
To cite a few examples, an individual may choose to use a Kindle e-reader to read Fifty Shades of Grey precisely because she values the privacy benefit of hiding her book choice from the eyes of people on the bus or the store clerk at the book store, rather than for reasons of mere convenience. This privacy benefit, for many consumers, can outweigh the privacy concern presented by Amazon’s data mining. At the very least, the privacy benefits of the Kindle should enter into the discussion.
In this paper, we tried to begin the task for measuring the effect and reasoning that supported the thesis in the “Privacy Paradox” using Google Surveys, an online survey tool….(More)”.
Open Data Inventory 2016
“Open Data Watch is pleased to announce the release of the 2016 Open Data Inventory (ODIN). The new ODIN results provide a comprehensive review of the coverage and openness of official statistics in 173 countries around the world, including most OECD countries. Featuring a methodology updated to reflect the latest international open data standards, ODIN 2016 results are fully available online at odin.opendatawatch.com, including interactive functions to compare year-to-year results from 122 countries.
ODIN assesses the coverage and openness of data provided on the websites maintained by national statistical offices (NSOs). The overall ODIN score is an indicator of how complete and open an NSO’s data offerings are. In addition to ratings of coverage and openness in twenty statistical categories, ODIN assessments provide the online location of key indicators in each data category, permitting quick access to hundreds of indicators.
ODIN 2016 Top Scores Reveal Gaps Between Openness and Coverage
In the 2016 round, the top scores went to high-income and OECD countries. Sweden was ranked first overall with a score of 81. Sweden was also the most open site, with an openness score of 91. Among non-OECD countries, the highest rank was Lithuania with an overall score of 77. Among non-high-income countries, Mexico again earned the highest ranking with a score of 67, followed by the lower-middle-income economies of Mongolia (61), and Moldova (59). Among low-income countries, Rwanda received the highest score of 55. ODIN overall scores are scaled from 0 to 100 and provide equal weighting for social, economic, and environmental statistics….
The new ODIN website allows users to compare and download scores for 2015 and 2016….(More)”
The Hackable City: Citymaking in a Platform Society Authors
Martijn de Waal, Michiel de Lange, and Matthijs Bouw in Special Issue on 4D Hyperlocal: A Cultural Toolkit for the Open-Source City of Architectural Design: ” Can computer hacking have positive parallels in the shaping of the built environment? The Hackable City research project was set up with this question in mind, to investigate the potential of digital platforms to open up the citymaking process. Its cofounders Martijn de Waal, Michiel de Lange and Matthijs Bouw here outline the tendencies that their studies of collaborative urban development initiatives around the world have revealed, and ask whether knowledge sharing and incremental change might be a better way forward than top-down masterplans….(More)”
Open Traffic Data to Revolutionize Transport
World Bank: “Congestion in metropolitan Manila costs the economy more than $60 million per day, and it is not atypical to spend more than 2 hours to travel 8 km during the evening commute there. But beyond these statistics, until recently, very little was actually known about Manila’s congestion, because the equipment and manpower required to collect traffic data has far exceeded available resources. Most cities in developing countries face similar issues.
Traditional methods of collecting traffic data rely either on labor-intensive fieldwork or capital-intensive sensor data networks. The former is slow and results in low-quality data, and the latter requires substantial capital and maintenance outlays, while only covering a small portion of a metropolitan area. In the era of big data, shouldn’t we be able to do better?
Responding to this need, Easy Taxi, Grab, and Le.Taxi, three ridesharing companies—which, combined, cover more than 30 countries and millions of customers—are working with the World Bank and partners to make traffic data derived from their drivers’ GPS streams available to public through an open data license. Through the new Open Transport Partnership, these companies, along with founding members Mapzen, the World Resources Institute, Miovision, and NDrive, will empower resource-constrained transport agencies to make better, evidence-based decisions that previously had been out of reach.
Issues that this data will help address include, among others, traffic signal timing plans, public transit provision, roadway infrastructure needs, emergency traffic management, and travel demand management. According to Alyssa Wright, president of the US Open Street Map Foundation, the partnership “seeks to improve the efficiency and efficacy of global transportation use and provision through open data and capacity building.” …(More)
See also http://opentraffic.io/