DATA – Page 305 – The Living Library

Principles and Policies for “Data Free Flow With Trust”

Curated on May 28, 2019May 28, 2019 by Stefaan Verhulst

Paper by Nigel Cory, Robert D. Atkinson, and Daniel Castro: “Just as there was a set of institutions, agreements, and principles that emerged out of Bretton Woods in the aftermath of World War II to manage global economic issues, the countries that value the role of an open, competitive, and rules-based global digital economy need to come together to enact new global rules and norms to manage a key driver of today’s global economy: data. Japanese Prime Minister Abe’s new initiative for “data free flow with trust,” combined with Japan’s hosting of the G20 and leading role in e-commerce negotiations at the World Trade Organization (WTO), provides a valuable opportunity for many of the world’s leading digital economies (Australia, the United States, and European Union, among others) to rectify the gradual drift toward a fragmented and less-productive global digital economy. Prime Minister Abe is right in proclaiming, “We have yet to catch up with the new reality, in which data drives everything, where the D.F.F.T., the Data Free Flow with Trust, should top the agenda in our new economy,” and right in his call “to rebuild trust toward the system for international trade. That should be a system that is fair, transparent, and effective in protecting IP and also in such areas as e-commerce.”

The central premise of this effort should be a recognition that data and data-driven innovation are a force for good. Across society, data innovation—the use of data to create value—is creating more productive and innovative economies, transparent and responsive governments, better social outcomes (improved health care, safer and smarter cities, etc.).3But to maximize the innovative and productivity benefits of data, countries that support an open, rules-based global trading system need to agree on core principles and enact common rules. The benefits of a rules-based and competitive global digital economy are at risk as a diverse range of countries in various stages of political and economic development have policy regimes that undermine core processes, especially the flow of data and its associated legal responsibilities; the use of encryption to protect data and digital activities and technologies; and the blocking of data constituting illegal, pirated content….(More)”.

A Symphony, Not a Solo: How Collective Management Organisations Can Embrace Innovation and Drive Data Sharing in the Music Industry

Curated on May 26, 2019May 26, 2019 by Stefaan Verhulst

Paper by David Osimo, Laia Pujol Priego, Turo Pekari and Ano Sirppiniemi: “…data is becoming a fundamental source of competitive advantage in music, just as in other sectors, and streaming services in particular are generating large volume of new data offering unique insight around customer taste and behavior. (As Financial Times recently put it, the music
industry is having its “moneyball” moment) But how are the different players getting ready for this change?

This policy brief aims to look at the question from the perspective of CMOs, the organisations charged with redistributing royalties from music users to music rightsholders (such as musical authors and publishers).

The paper is divided in three sections. Part I will look at the current positioning of CMOs in this new data-intensive ecosystem. Part II will discuss how greater data sharing and reuse can maximize innovation, comparing the music industries with other industries. Part III will make policy and business-model reform recommendations for CMOs to stimulate data-driven innovation, internally and in the industry as a whole….(More)”

Airbnb and New York City Reach a Truce on Home-Sharing Data

Curated on May 26, 2019May 26, 2019 by Stefaan Verhulst

Paris Martineau at Wired: “For much of the past decade, Airbnb and New York City have been embroiled in a high-profile feud. Airbnb wants legitimacy in its biggest market. City officials want to limit home-sharing platforms, which they argue exacerbate the city’s housing crisis and pose safety risks by allowing people to transform homes into illegal hotels.

Despite years of lawsuits, countersuits, lobbying campaigns, and failed attempts at legislation, progress on resolving the dispute has been incremental at best. The same could be said for many cities around the nation, as local government officials struggle to come to grips with the increasing popularity of short-term rental platforms like Airbnb, HomeAway, and VRBO in high-tourism areas.

In New York last week, there were two notable breaks in the logjam. On May 14, Airbnb agreed to give city officials partially anonymized host and reservation data for more than 17,000 listings. Two days later, a judge ordered Airbnb to turn over more detailed and nonanonymized information on dozens of hosts and hundreds of guests who have listed or stayed in more than a dozen buildings in Manhattan, Brooklyn, and Queens in the past seven years.

In both cases, the information will be used by investigators with the Mayor’s Office of Special Enforcement to identify hosts and property owners who may have broken the city’s notoriously strict short-term rental laws by converting residences into de facto hotels by listing them on Airbnb.

City officials originally subpoenaed Airbnb for the data—not anonymized—on the more than 17,000 listings in February. Mayor Bill de Blasio called the move an effort to force the company to “come clean about what they’re actually doing in this city.” The agreement outlining the data sharing was signed as a compromise on May 14, according to court records.

In addition to the 17,000 listings identified by the city, Airbnb will also share data on every listing rented through its platform between January 1, 2018, and February 18, 2019, that could have potentially violated New York’s short-term rental laws. The city prohibits rentals of an entire apartment or home for less than 30 days without the owner present in the unit, making many stays traditionally associated with services like Airbnb, HomeAway, and VRBO illegal. Only up to two guests are permitted in the short-term rental of an apartment or room, and they must be given “free and unobstructed access to every room and to each exit within the apartment,” meaning hosts can’t get around the ban on whole-apartment rentals by renting out three separate private rooms at once….(More)”.

What can we learn from billions of food purchases derived from fidelity cards?

Curated on May 23, 2019May 23, 2019 by Stefaan Verhulst

Daniele Quercia at Medium: “By combining 1.6B food item purchases with 1.1B medical prescriptions for the entire city of London for one year, we discovered that, to predict health outcomes, socio-economic conditions matter less than what previous research has shown: despite being of lower-income, certain areas are healthy, and that is because of what their residents eat!

This result comes from our latest project “Poor but Healthy”, which was published in the Springer European Physical Journal (EPJ) of Data Science this month, and comes with a @tobi_vierzwo’s stunningly beautiful map of London I invite all of you to explore.

Why are we interested in urban health? In our cities, food is cheap and exercise discretionary, and health takes its toll. Half of European citizens will be obese by 2050, and obesity and its diseases are likely to reach crisis proportions. In this project, we set out to show that fidelity cards of grocery stores represent a treasure trove of health data — they can be used not only to (e)mail discount coupons to customers but also to effectively track a neighbourhood’s health in real-time for an entire city or even an entire country.

In research circles, the impact of eating habits on people’s health has mostly been studied using dietary surveys, which are costly and of limited scale.

To complement these surveys, we have recently resorted to grocery fidelity cards. We analyzed the anonymized records of 1.6B grocery items purchased by 1.6M grocery store customers in London over one whole year, and combined them with 1.1B medical prescriptions.

In so doing, we found that, as one expects, the “trick” to not being associated with chronic diseases is eating less what we instinctively like (e.g., sugar, carbohydrates), balancing all the nutrients, and avoiding the (big) quantities that are readily available. These results come as no surprise yet speak to the validity of using fidelity cards to capture health outcomes…(More)”.

Data to the rescue

Curated on May 23, 2019May 23, 2019 by Stefaan Verhulst

Podcast by Kenneth Cukier: “Access to the right data can be as valuable in humanitarian crises as water or medical care, but it can also be dangerous. Misused or in the wrong hands, the same information can put already vulnerable people at further risk. Kenneth Cukier hosts this special edition of Babbage examining how humanitarian organisations use data and what they can learn from the profit-making tech industry. This episode was recorded live from Wilton Park, in collaboration with the United Nations OCHA Centre for Humanitarian Data…(More)”.

Privacy and Identity in a Networked Society: Refining Privacy Impact Assessment,

Curated on May 23, 2019May 23, 2019 by Stefaan Verhulst

Book by Stefan Strauß: “This book offers an analysis of privacy impacts resulting from and reinforced by technology and discusses fundamental risks and challenges of protecting privacy in the digital age.

Privacy is among the most endangered “species” in our networked society: personal information is processed for various purposes beyond our control. Ultimately, this affects the natural interplay between privacy, personal identity and identification. This book investigates that interplay from a systemic, socio-technical perspective by combining research from the social and computer sciences. It sheds light on the basic functions of privacy, their relation to identity, and how they alter with digital identification practices. The analysis reveals a general privacy control dilemma of (digital) identification shaped by several interrelated socio-political, economic and technical factors. Uncontrolled increases in the identification modalities inherent to digital technology reinforce this dilemma and benefit surveillance practices, thereby complicating the detection of privacy risks and the creation of appropriate safeguards.

Easing this problem requires a novel approach to privacy impact assessment (PIA), and this book proposes an alternative PIA framework which, at its core, comprises a basic typology of (personally and technically) identifiable information. This approach contributes to the theoretical and practical understanding of privacy impacts and thus, to the development of more effective protection standards….(More)”.

Smart and Digital Cities: From Computational Intelligence to Applied Social Sciences

Curated on May 23, 2019May 23, 2019 by Stefaan Verhulst

Book edited by Vitor Nazário Coelho, Igor Machado Coelho, Thays A.Oliveira and Luiz Satoru Ochi: “This book presents up-to-date information on the future digital and smart cities. In particular, it describes novel insights about the use of computational intelligence techniques and decentralized technologies, covering urban aspects and services, cities governance and social sciences. The topics covered here range from state-of-the-art computational techniques to current discussions regarding drones, blockchain, smart contracts and cryptocurrencies.

The idealization of this material emerged with a journey of free knowledge exchange from a diverse group of authors, who met each other through four different events (workshops and special sessions) organized with the purpose of boosting the concepts surrounding smart cities.
We believe that this book comprises innovative and precise information regarding state-of-the-art applications and ideas for the future of cities and society. It will surely be useful not only for the academic community but also to the industry professionals and city managers….(More)”.

Smart Villages in the EU and Beyond

Curated on May 21, 2019May 21, 2019 by Stefaan Verhulst

Book edited by Anna Visvizi, Miltiadis D. Lytras, and György Mudri: “Written by leading academics and practitioners in the field, Smart Villages in the EU and Beyond offers a detailed insight into issues and developments that shape the debate on smart villages, together with concepts, developments and policymaking initiatives including the EU Action for Smart Villages.This book derives from the realization that the implications of the increasing depopulation of rural areas across the EU is a pending disaster. This edited collection establishes a framework for action today, which will lead to sustainable revitalization of rural areas tomorrow.Using country-specific case studies, the chapters examine how integrated and ICT-conscious strategies and policy actions focused on wellbeing, sustainability and solidarity could provide a long-term solution in the revitalization of villages across the EU and elsewhere. Best practices pertinent to precision farming, energy diversification, tourism, entrepreneurship are discussed in detail.As an in-depth exploration of the Smart Village on a multinational scale, this book will serve as an indispensable resource for students, researchers and policy leaders in the fields of politics, strategic management and urban and rural studies….(More)”.

Re-Use Of Public Sector Open Data: Characterising The Phenomena

Curated on May 21, 2019May 21, 2019 by Stefaan Verhulst

Paper by Josefin Lassinantti at the International Journal of Public Information Systems: “Despite the growing number of open data, re-use of this data is not reaching the expected levels and now this phenomenon seems hampered in its evolvement. Therefore, this study sets out to characterize the re-use of open data from public sector in order to increase our elaborate understanding of this practice, and does so by performing a literature review inspired by the processes for defining concepts, and contextualized within the historical evolvement of European open data policies. Apart from the identification of three main research approaches towards open data re-use and an elaborated definition of re-use, the findings led to the creation of a framework enabling us to see open data re-use as an iterative value-creating process in two different contexts, the public task context and the non-public task context. This process builds on three categories of meta-activities for reuse practice: 1) gaining access to and understanding data, 2) handling and re-purposing the data, and 3) creating broader value of data, as well as indications of value for whom. Lastly, implications of this re-use process and framework was discussed, along with implications of an identified practice-policy mismatch that risk hampering the future evolvement of open data re-use….(More)”.