Traffic Data Is Good for More than Just Streets, Sidewalks

Curated on Posted on by Stefaan Verhulst

Skip Descant at Government Technology: “The availability of highly detailed daily traffic data is clearly an invaluable resource for traffic planners, but it can also help officials overseeing natural lands or public works understand how to better manage those facilities.

The Natural Communities Coalition, a conservation nonprofit in southern California, began working with the traffic analysis firm StreetLight Data in early 2018 to study the impacts from the thousands of annual visitors to 22 parks and natural lands. StreetLight Data’s use of de-identified cellphone data held promise for the project, which will continue into early 2020.

“You start to see these increases,” Milan Mitrovich, science director for the Natural Communities Coalition, said of the uptick in visitor activity the data showed. “So being able to have this information, and share it with our executive committee… these folks, they’re seeing it for the first time.”…

Officials with the Natural Communities Coalition were able to use the StreetLight data to gain insights into patterns of use not only per day, but at different times of the day. The data also told researchers where visitors were traveling from, a detail park officials found “jaw-dropping.”

“What we were able to see is, these resources, these natural areas, cast an incredible net across southern California,” said Mitrovich, noting visitors come from not only Orange County, but Los Angeles, San Bernardino and San Diego counties as well, a region of more than 20 million residents.

The data also allows officials to predict traffic levels during certain parts of the week, times of day or even holidays….(More)”.

Community Colleges Boost STEM Student Success Through Behavioral Nudging

Curated on Posted on by Stefaan Verhulst

Press Release: “JFF, a national nonprofit driving transformation in the American workforce and education systems, and Persistence Plus, which pairs behavioral insights with intelligent text messaging to improve student success, today released the findings from an analysis that examined the effects of personalized nudging on nearly 10,000 community college students. The study, conducted over two years at four community colleges, found that behavioral nudging had a significant impact on student persistence rates—with strong improvements among students of color and older adult learners, who are often underrepresented among graduates of STEM (science, technology, engineering, and math) programs.

“These results offer powerful evidence on the potential, and imperative, of using technology to support students during the most in-demand, and often most challenging, courses and majors,” said Maria Flynn, president and CEO of JFF. “With millions of STEM jobs going unfilled, closing the gap in STEM achievement has profound economic—and equity—implications.” 

In a multiyear initiative called “Nudging to STEM Success,“ which was funded by the Helmsley Charitable Trust, JFF and Persistence Plus selected four colleges to implement the nudging initiative campuswide:Lakeland Community College in Kirtland, Ohio; Lorain County Community College in Elyria, Ohio; Stark State College in North Canton, Ohio; and John Tyler Community College in Chester, Virginia.

A randomized control trial in the summer of 2017 showed that the nudges increased first-to-second-year persistence for STEM students by 10 percentage points. The results of that trial will be presented in an upcoming peer-reviewed paper titled “A Summer Nudge Campaign to Motivate Community College STEM Students to Reenroll.” The paper will be published in AERA Open, an open-access journal published by the American Educational Research Association. 

Following the 2017 trial, the four colleges scaled the support to nearly 10,000 students, and over the next two years, JFF and Persistence Plus found that the nudging support had a particularly strong impact on students of color and students over the age of 25—two groups that have historically had lower persistence rates than other students….(More)”.

How Tulsa is Preserving Privacy and Sharing Data for Social Good

Curated on Posted on by Stefaan Verhulst

Data across Sectors for Health: “Data sharing between organizations addressing social risk factors has the potential to amplify impact by increasing direct service capacity and efficiency. Unfortunately, the risks of and restrictions on sharing personal data often limit this potential, and adherence to regulations such as HIPAA and FERPA can make data sharing a significant challenge.

DASH CIC-START awardee Restore Hope Ministries worked with Asemio to utilize technology that allows for the analysis of personally identifiable information while preserving clients’ privacy. The collaboration shared their findings in a new white paper that describes the process of using multi-party computation technology to answer questions that can aid service providers in exploring the barriers that underserved populations may be facing. The first question they asked: what is the overlap of populations served by two distinct organizations? The results of the overlap analysis confirmed that a significant opportunity exists to increase access to services for a subset of individuals through better outreach…(More)”

Reimagining Administrative Justice: Human Rights in Small Places

Curated on Posted on by Stefaan Verhulst

Book by Margaret Doyle and Nick O’Brien: “This book reconnects everyday justice with social rights. It rediscovers human rights in the ‘small places’ of housing, education, health and social care, where administrative justice touches the citizen every day, and in doing so it re-imagines administrative justice and expands its democratic reach. The institutions of everyday justice – ombuds, tribunals and mediation – rarely herald their role in human rights frameworks, and never very loudly. For the most part, human rights and administrative justice are ships that pass in the night. Drawing on design theory, the book proposes to remedy this alienation by replacing current orthodoxies, not least that of ‘user focus’, with more promising design principles of community, network and openness. Thus re-imagined, the future of both administrative justice and social rights is demosprudential, firmly rooted in making response to citizen grievance more democratic and embedding legal change in the broader culture….(More)”.

Stop the Open Data Bus, We Want to Get Off

Curated on Posted on by Stefaan Verhulst

Paper by Chris Culnane, Benjamin I. P. Rubinstein, and Vanessa Teague: “The subject of this report is the re-identification of individuals in the Myki public transport dataset released as part of the Melbourne Datathon 2018. We demonstrate the ease with which we were able to re-identify ourselves, our co-travellers, and complete strangers; our analysis raises concerns about the nature and granularity of the data released, in particular the ability to identify vulnerable or sensitive groups…..

This work highlights how a large number of passengers could be re-identified in the 2018 Myki data release, with detailed discussion of specific people. The implications of re-identification are potentially serious: ex-partners, one-time acquaintances, or other parties can determine places of home, work, times of travel, co-travelling patterns—presenting risk to vulnerable groups in particular…

In 2018 the Victorian Government released a large passenger centric transport dataset to a data science competition—the 2018 Melbourne Datathon. Access to the data was unrestricted, with a URL provided on the datathon’s website to download the complete dataset from an Amazon S3 Bucket. Over 190 teams continued to analyse the data through the 2 month competition period. The data consisted of touch on and touch off events for the Myki smart card ticketing system used throughout the state of Victoria, Australia. With such data, contestants would be able to apply retrospective analyses on an entire public transport system, explore suitability of predictive models, etc.

The Myki ticketing system is used across Victorian public transport: on trains, buses and trams. The dataset was a longitudinal dataset, consisting of touch on and touch off events from Week 27 in 2015 through to Week 26 in 2018. Each event contained a card identifier (cardId; not the actual card number), the card type, the time of the touch on or off, and various location information, for example a stop ID or route ID, along with other fields which we omit here for brevity. Events could be indexed by the cardId and as such, all the events associated with a single card could be retrieved. There are a total of 15,184,336 cards in the dataset—more than twice the 2018 population of Victoria. It appears that all touch on and off events for metropolitan trains and trams have been included, though other forms of transport such as intercity trains and some buses are absent. In total there are nearly 2 billion touch on and off events in the dataset.

No information was provided as to the de-identification that was performed on the dataset. Our analysis indicates that little to no de-identification took place on the bulk of the data, as will become evident in Section 3. The exception is the cardId, which appears to have been mapped in some way from the Myki Card Number. The exact mapping has not been discovered, although concerns remain as to its security effectiveness….(More)”.

Belgium’s democratic experiment

Curated on Posted on by Stefaan Verhulst

David van Reybrouck in Politico: “Those looking for a solution to the wave of anger and distrust sweeping Western democracies should have a look at an experiment in European democracy taking place in a small region in eastern Belgium.

Starting in September, the parliament representing the German-speaking region of Belgium will hand some of its powers to a citizens’ assembly drafted by lot. It’ll be the first time a political institution creates a permanent structure to involve citizens in political decision making.

It’s a move Belgian media has rightly hailed as “historic.” I was in parliament the night MPs from all six parties moved past ideological differences to endorse the bill. It was a courageous move, a sign to other politicians — who tend to see their voters as a threat rather than a resource — that citizens should be trusted, not feared, or “spun.”

Nowhere else in the world will everyday citizens be so consistently involved in shaping the future of their community. In times of massive, widespread distrust of party politics, German-speaking Belgians will be empowered to put the issues they care about on the agenda, to discuss potential solutions, and to monitor the follow-up of their recommendations as they pass through parliament and government. Politicians, in turn, will be able to tap independent citizens’ panels to deliberate over thorny political issues.

This experiment is happening on a small scale: Belgium’s German-speaking community, the country’s third linguistic region, is the smallest federal entity in Europe. But its powers are comparable with those of Scotland or the German province of North Rhine-Westphalia, and the lessons of its experiment with a “people’s senate” will have implications for democrats across Europe….(More)”.

A New Way of Voting That Makes Zealotry Expensive

Curated on Posted on by Stefaan Verhulst

Peter Coy at Bloomberg Business Week: “An intriguing new tool of democracy just had its first test in the real world of politics, and it passed with flying colors.

The tool is called quadratic voting, and it’s just as nerdy as it sounds. The concept is that each voter is given a certain number of tokens—say, 100—to spend as he or she sees fit on votes for a variety of candidates or issues. Casting one vote for one candidate or issue costs one token, but two votes cost four tokens, three votes cost nine tokens, and so on up to 10 votes costing all 100 of your tokens. In other words, if you really care about one candidate or issue, you can cast up to 10 votes for him, her, or it, but it’s going to cost you all your tokens.

Quadratic voting was invented not by political scientists but by economists and others, including Glen Weyl, an economist and principal researcher at Microsoft Corp. The purpose of quadratic voting is to determine “whether the intense preferences of the minority outweigh the weak preferences of the majority,” Weyl and Eric Posner, a University of Chicago Law School professor, wrote last year in an important book called Radical Markets: Uprooting Capitalism and Democracy for a Just Society. ….

This spring, quadratic voting was used in a successful experiment by the Democratic caucus of the Colorado House of Representatives. The lawmakers used it to decide on their legislative priorities for the coming two years among 107 possible bills. (Wiredmagazine wrote about it here.)…

In this year’s experiment, the 41 lawmakers in the Democratic caucus were given 100 tokens each to allocate among the 107 bills. No one chose to spend all 100 tokens on a single bill. Many of them spread their votes around widely but thinly because it was inexpensive to do so—one vote is just one token. The top vote-getter by a wide margin turned out to be a bill guaranteeing equal pay to women for equal work. “There was clear separation” of the favorites from the also-rans, Hansen says.

The computer interface and other logistics were provided by Democracy Earth, which describes itself as a borderless community and “a global commons of self-sovereign citizens.” The lawmakers had more immediate concerns—hammering out a party agenda. “Some members were more tech-savvy,” Hansen says. “Some started skeptical but came around. I was pleasantly surprised. There was this feeling of ownership—your voice being heard.”

I recently wrote about the democratic benefits of ranked-choice voting, in which voters rank all the candidates in a race and votes are reassigned from the lowest vote-getters to the higher finishers until someone winds up with a majority. But although ranked-choice voting is gaining in popularity, it traces its roots back to the 19th century. Quadratic voting is much more of a break from the past. “This is a new idea, which is rare in economic theory, so it should be saluted as such, especially since it is accompanied by outstanding execution,” George Mason University economist Tyler Cowen wrote in 2015. (He did express some cautions about it as well.)…(More)”.

Introducing the Contractual Wheel of Data Collaboration

Curated on Posted on by Stefaan Verhulst

Blog by Andrew Young and Stefaan Verhulst: “Earlier this year we launched the Contracts for Data Collaboration (C4DC) initiative — an open collaborative with charter members from The GovLab, UN SDSN Thematic Research Network on Data and Statistics (TReNDS), University of Washington and the World Economic Forum. C4DC seeks to address the inefficiencies of developing contractual agreements for public-private data collaboration by informing and guiding those seeking to establish a data collaborative by developing and making available a shared repository of relevant contractual clauses taken from existing legal agreements. Today TReNDS published “Partnerships Founded on Trust,” a brief capturing some initial findings from the C4DC initiative.

The Contractual Wheel of Data Collaboration [beta]

The Contractual Wheel of Data Collaboration [beta] — Stefaan G. Verhulst and Andrew Young, The GovLab

As part of the C4DC effort, and to support Data Stewards in the private sector and decision-makers in the public and civil sectors seeking to establish Data Collaboratives, The GovLab developed the Contractual Wheel of Data Collaboration [beta]. The Wheel seeks to capture key elements involved in data collaboration while demystifying contracts and moving beyond the type of legalese that can create confusion and barriers to experimentation.

The Wheel was developed based on an assessment of existing legal agreements, engagement with The GovLab-facilitated Data Stewards Network, and analysis of the key elements of our Data Collaboratives Methodology. It features 22 legal considerations organized across 6 operational categories that can act as a checklist for the development of a legal agreement between parties participating in a Data Collaborative:…(More)”.

Access to Algorithms

Curated on Posted on by Stefaan Verhulst

Paper by Hannah Bloch-Wehba: “Federal, state, and local governments increasingly depend on automated systems — often procured from the private sector — to make key decisions about civil rights and civil liberties. When individuals affected by these decisions seek access to information about the algorithmic methodologies that produced them, governments frequently assert that this information is proprietary and cannot be disclosed. 

Recognizing that opaque algorithmic governance poses a threat to civil rights and liberties, scholars have called for a renewed focus on transparency and accountability for automated decision making. But scholars have neglected a critical avenue for promoting public accountability and transparency for automated decision making: the law of access to government records and proceedings. This Article fills this gap in the literature, recognizing that the Freedom of Information Act, its state equivalents, and the First Amendment provide unappreciated legal support for algorithmic transparency.

The law of access performs three critical functions in promoting algorithmic accountability and transparency. First, by enabling any individual to challenge algorithmic opacity in government records and proceedings, the law of access can relieve some of the burden otherwise borne by parties who are often poor and under-resourced. Second, access law calls into question government’s procurement of algorithmic decision making technologies from private vendors, subject to contracts that include sweeping protections for trade secrets and intellectual property rights. Finally, the law of access can promote an urgently needed public debate on algorithmic governance in the public sector….(More)”.

Big data needs big governance: best practices from Brain-CODE, the Ontario Brain Institute’s neuroinformatics platform

Curated on Posted on by Stefaan Verhulst

Shannon C. Lefaivre et al in Frontiers of Genetics: “The Ontario Brain Institute (OBI) has begun to catalyze scientific discovery in the field of neuroscience through its large-scale informatics platform, known as Brain-CODE. The platform supports the capture, storage, federation, sharing and analysis of different data types across several brain disorders. Underlying the platform is a robust and scalable data governance structure which allows for the flexibility to advance scientific understanding, while protecting the privacy of research participants.

Recognizing the value of an open science approach to enabling discovery, the governance structure was designed not only to support collaborative research programs, but also to support open science by making all data open and accessible in the future. OBI’s rigorous approach to data sharing maintains the accessibility of research data for big discoveries without compromising privacy and security. Taking a Privacy by Design approach to both data sharing and development of the platform has allowed OBI to establish some best practices related to large scale data sharing within Canada. The aim of this report is to highlight these best practices and develop a key open resource which may be referenced during the development of similar open science initiatives….(More)”.