book – Page 90 – The Living Library

The Data Transfer Project

Curated on July 22, 2018August 3, 2018 by Stefaan Verhulst

About: “The Data Transfer Project was formed in 2017 to create an open-source, service-to-service data portability platform so that all individuals across the web could easily move their data between online service providers whenever they want.

The contributors to the Data Transfer Project believe portability and interoperability are central to innovation. Making it easier for individuals to choose among services facilitates competition, empowers individuals to try new services and enables them to choose the offering that best suits their needs.

Current contributors include Facebook, Google, Microsoft and Twitter.

Individuals have many reasons to transfer data, but we want to highlight a few examples that demonstrate the additional value of service-to-service portability.

A user discovers a new photo printing service offering beautiful and innovative photo book formats, but their photos are stored in their social media account. With the Data Transfer Project, they could visit a website or app offered by the photo printing service and initiate a transfer directly from their social media platform to the photo book service.
A user doesn’t agree with the privacy policy of their music service. They want to stop using it immediately, but don’t want to lose the playlists they have created. Using this open-source software, they could use the export functionality of the original Provider to save a copy of their playlists to the cloud. This enables them to import the lists to a new Provider, or multiple Providers, once they decide on a new service.
A large company is getting requests from customers who would like to import data from a legacy Provider that is going out of business. The legacy Provider has limited options for letting customers move their data. The large company writes an Adapter for the legacy Provider’s Application Program Interfaces (APIs) that permits users to transfer data to their service, also benefiting other Providers that handle the same data type.
A user in a low bandwidth area has been working with an architect on drawings and graphics for a new house. At the end of the project, they both want to transfer all the files from a shared storage system to the user’s cloud storage drive. They go to the cloud storage Data Transfer Project User Interface (UI) and move hundreds of large files directly, without straining their bandwidth.
An industry association for supermarkets wants to allow customers to transfer their loyalty card data from one member grocer to another, so they can get coupons based on buying habits between stores. The Association would do this by hosting an industry-specific Host Platform of DTP.

The innovation in each of these examples lies behind the scenes: Data Transfer Project makes it easy for Providers to allow their customers to interact with their data in ways their customers would expect. In most cases, the direct-data transfer experience will be branded and managed by the receiving Provider, and the customer wouldn’t need to see DTP branding or infrastructure at all….

To get a more in-depth understanding of the project, its fundamentals and the details involved, please download “Data Transfer Project Overview and Fundamentals”….(More)”.

Blockchain is helping build a new Indian city, but it’s no cure for corruption

Curated on July 18, 2018August 3, 2018 by Stefaan Verhulst

Ananya Bhattacharya at Quartz: “Last year, Tharigopula Sambasiva Rao entered into a deal with the state government of Andhra Pradesh. He gave up six acres of his agricultural land in his village, Sakhamuru, in exchange for 7,250 square yards—6,000 square yards of residential plots and 1,250 square yards of commercial ones.

In February this year, the 50-year-old farmer got his plots registered at the sub-registrar’s office in Thullur town of Guntur district. He booked an appointment through a government-run app and turned up with his Aadhaar number, a unique identity provided by the government of India to every citizen. Rao’s land documents, complete with a map, certificate, and carrying a unique QR code, were prepared by officials and sent directly to the registration office, all done in just a couple of hours.

Kommineni Ramanjaneyulu, another farmer from around Thullur, exchanged 4.5 acres for 10 plots. The 83-year-old was wary of this new technology deployed to streamline the land registration process. However, he was relieved to see the documents for his new assets in his native language, Telugu. There was no information gap….

In theory, blockchain can store land documents in a tamper-proof, secure network, reducing human interventions and adding more transparency. Data is solidified and the transaction history of a property is fully trackable. This has the potential to reduce, if not entirely prevent, property fraud. But unlike in the case of bitcoin, the blockchain utilised by the government agency in charge of shaping Amaravati is private.

So, despite the promise on paper, local landowners and farmers remain convinced that there’s no escaping red tape and corruption yet….

The entire documentation process for this massive exercise is based on blockchain. The decentralised distributed ledger system—central to cryptocurrencies like bitcoin and ether—can create foolproof digitised land registries of the residential and commercial plots allotted to farmers. It essentially serves as a book-keeping tool that can be accessed by all but is owned by none…

Having seen the government’s dirty tricks, most of the farmers gathered at Rayapudi aren’t buying the claim that the system is tamper-proof—especially at the stages before the information is moved to blockchain. After all, assignments and verifications are still being done by revenue officers on the ground.

That the Andhra Pradesh government is using a private blockchain complicates things further. The public can view information but not directly monitor whether any illicit changes have been made to their records. They have to go through the usual red tape to get those answers. The system may not be susceptible to hacking, but authorities could deliberately enter wrong information or refuse to reveal instances of fraud even if they are logged. This is the farmers’ biggest concern.

“The tampering cannot be stopped. If you give the right people a lot of bribe, they will go in and change the record,” said Seshagiri Rao. Nearly $700 million is paid in bribes across land registrars in India, an Andhra Pradesh government official estimated last year, and even probes into these matters are often flawed….(More)”.

Suspect Citizens: What 20 Million Traffic Stops Tell Us About Policing and Race

Curated on July 17, 2018October 1, 2018 by Stefaan Verhulst

Book by Frank R. Baumgartner, Derek A. Epp, and Kelsey Shoub: “Suspect Citizens offers the most comprehensive look to date at the most common form of police-citizen interactions, the routine traffic stop. Throughout the war on crime, police agencies have used traffic stops to search drivers suspected of carrying contraband.

From the beginning, police agencies made it clear that very large numbers of police stops would have to occur before an officer might interdict a significant drug shipment. Unstated in that calculation was that many Americans would be subjected to police investigations so that a small number of high-level offenders might be found. The key element in this strategy, which kept it hidden from widespread public scrutiny, was that middle-class white Americans were largely exempt from its consequences.

Tracking these police practices down to the officer level, Suspect Citizens documents the extreme rarity of drug busts and reveals sustained and troubling disparities in how racial groups are treated….

Offers an empirically rigorous examination of who the police interact with and how, analyzing a database of 20 million traffic stops collected over more than a decade
Assesses both the efficacy and costs of war on crime policies and discusses implications for American democracy
Suggests practical policy reforms police administrators can implement today to reduce disparities, improve police-citizen relations, and help fight crime…(More)”

Big Data for the Greater Good

Curated on July 15, 2018August 3, 2018 by Stefaan Verhulst

Book edited by Ali Emrouznejad and Vincent Charles: “This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes….(More)”.

The Skeptic’s Guide to Open Government

Curated on July 14, 2018May 29, 2019 by Stefaan Verhulst

Open Gov Partnership: “Whether you are inside or outside of OGP, you may not yet be convinced of the benefits of opening government. When you open government, what do you get in return? If you are asking this question, this guide is for you.

The guide summarizes what is known about the impact of opening government in five areas: 1) public service delivery 2) business opportunities 3) government efficiency and cost saving 4) prevention of corruption and 5) trust in government. Each chapter draws from empirical evidence, and highlights reformers who are opening government in innovative ways….(More)”.

Bad Governance and Corruption

Curated on July 10, 2018August 3, 2018 by Stefaan Verhulst

Textbook by Richard Rose and Caryn Peiffer: “This book explains why the role of corruption varies greatly between public services, between people, between national systems of governance, and between measures of corruption.

More than 1.8 billion people pay the price of bad government each year, by sending a bribe to a public official.

In developing countries, corruption affects social services, such as health care and education, and law enforcement institutions, such as the police. When public officials do not act as bureaucrats delivering services by the book, people can try to get them by hook or by crook. The book’s analysis draws on unique evidence: a data base of sample surveys of 175,000 people in 125 countries in Africa, Asia, the Middle East, Europe, and North and South America. The authors avoid one-size-fits-all proposals for reform and instead provide measures that can be applied to particular public services to reduce or eliminate opportunities for corruption….(More)”.

Hope for Democracy: 30 years of Participatory Budgeting Worldwide

Curated on July 8, 2018August 3, 2018 by Stefaan Verhulst

Book edited by Nelson Dias: “Hope for Democracy” is not only the title of this book, but also the translation of a state of mind infected by innovation and transformative action of many people who in different parts of the world, are engaged in the construction of more lasting and intense ways of living democracy.

The articles found within this publication are “scales” of a fascinating journey through the paths of participatory democracy, from North America to Asia, Oceania to Europe, and Latin America to Africa.

With no single directions, it is up to the readers to choose the route they want to travel, being however invited to reinforce this “democratizing wave”, encouraging the emergence of new and renewed spaces of participation in the territories where they live and work….(More)

What if people were paid for their data?

Curated on July 8, 2018August 3, 2018 by Stefaan Verhulst

The Economist: “Data Slavery” Jennifer Lyn Morone, an American artist, thinks this is the state in which most people now live. To get free online services, she laments, they hand over intimate information to technology firms. “Personal data are much more valuable than you think,” she says. To highlight this sorry state of affairs, Ms Morone has resorted to what she calls “extreme capitalism”: she registered herself as a company in Delaware in an effort to exploit her personal data for financial gain. She created dossiers containing different subsets of data, which she displayed in a London gallery in 2016 and offered for sale, starting at £100 ($135). The entire collection, including her health data and social-security number, can be had for £7,000.

Only a few buyers have taken her up on this offer and she finds “the whole thing really absurd”. ..Given the current state of digital affairs, in which the collection and exploitation of personal data is dominated by big tech firms, Ms Morone’s approach, in which individuals offer their data for sale, seems unlikely to catch on. But what if people really controlled their data—and the tech giants were required to pay for access? What would such a data economy look like?…

Labour, like data, is a resource that is hard to pin down. Workers were not properly compensated for labour for most of human history. Even once people were free to sell their labour, it took decades for wages to reach liveable levels on average. History won’t repeat itself, but chances are that it will rhyme, Mr Weyl predicts in “Radical Markets”, a provocative new book he has co-written with Eric Posner of the University of Chicago. He argues that in the age of artificial intelligence, it makes sense to treat data as a form of labour.

To understand why, it helps to keep in mind that “artificial intelligence” is something of a misnomer. Messrs Weyl and Posner call it “collective intelligence”: most AI algorithms need to be trained using reams of human-generated examples, in a process called machine learning. Unless they know what the right answers (provided by humans) are meant to be, algorithms cannot translate languages, understand speech or recognise objects in images. Data provided by humans can thus be seen as a form of labour which powers AI. As the data economy grows up, such data work will take many forms. Much of it will be passive, as people engage in all kinds of activities—liking social-media posts, listening to music, recommending restaurants—that generate the data needed to power new services. But some people’s data work will be more active, as they make decisions (such as labelling images or steering a car through a busy city) that can be used as the basis for training AI systems….

But much still needs to happen for personal data to be widely considered as labour, and paid for as such. For one thing, the right legal framework will be needed to encourage the emergence of a new data economy. The European Union’s new General Data Protection Regulation, which came into effect in May, already gives people extensive rights to check, download and even delete personal data held by companies. Second, the technology to keep track of data flows needs to become much more capable. Research to calculate the value of particular data to an AI service is in its infancy.

Third, and most important, people will have to develop a “class consciousness” as data workers. Most people say they want their personal information to be protected, but then trade it away for nearly nothing, something known as the “privacy paradox”. Yet things may be changing: more than 90% of Americans think being in control of who can get data on them is important, according to the Pew Research Centre, a think-tank….(More)”.

Small Wars, Big Data: The Information Revolution in Modern Conflict

Curated on July 6, 2018August 3, 2018 by Stefaan Verhulst

Book by Eli Berman, Joseph H. Felter & Jacob N. Shapiro: “The way wars are fought has changed starkly over the past sixty years. International military campaigns used to play out between large armies at central fronts. Today’s conflicts find major powers facing rebel insurgencies that deploy elusive methods, from improvised explosives to terrorist attacks. Small Wars, Big Datapresents a transformative understanding of these contemporary confrontations and how they should be fought. The authors show that a revolution in the study of conflict–enabled by vast data, rich qualitative evidence, and modern methods—yields new insights into terrorism, civil wars, and foreign interventions. Modern warfare is not about struggles over territory but over people; civilians—and the information they might choose to provide—can turn the tide at critical junctures.

The authors draw practical lessons from the past two decades of conflict in locations ranging from Latin America and the Middle East to Central and Southeast Asia. Building an information-centric understanding of insurgencies, the authors examine the relationships between rebels, the government, and civilians. This approach serves as a springboard for exploring other aspects of modern conflict, including the suppression of rebel activity, the role of mobile communications networks, the links between aid and violence, and why conventional military methods might provide short-term success but undermine lasting peace. Ultimately the authors show how the stronger side can almost always win the villages, but why that does not guarantee winning the war.

Small Wars, Big Data provides groundbreaking perspectives for how small wars can be better strategized and favorably won to the benefit of the local population….(More)”.