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1. Data-driven Decision Making and Urban95: Data-driven Policy Tool

Author:
Bürge Elvan Erginli and Gizem Fidan
Publication Date:
01-2021
Content Type:
Special Report
Institution:
Turkish Economic and Social Studies Foundation (TESEV)
Abstract:
A handbook on Data-driven Decision Making and Urban95: Data-driven Policy Tool (harita.kent95.org). The majority of the world population now lives in cities, while relations between technology and individuals and institutions and things are stronger than ever. The resultant growth in the volume and diversity of data has rendered the issue of data-driven policy development, which has been in existence since the 1990s, much more visible. We can define the concept of data-driven decision making as institutions that provide urban services making use of data to develop accurate, effective and measurable policies when planning how, to whom, with what content and where in the city these services will be provided. This has recently become an important topic in Turkey. We frequently encounter the importance especially of local administrations making use of data when making and following their strategic plans. In order to make use of data in developing urban policy, we first of all need to have a sense of what urban data is and the channels by which it is produced, providing us a holistic perspective. We can usually speak of five types of data in this context: The first is public administration data produced by local administrations and state agencies. The second is official statistical data such as census or household/workplace surveys gathered through questionnaires under the direction of the national statistical institute. The third is operational data on services provided by local administrations or specific institutions – institutions providing transportation service for example. The fourth is scientific data on environmental conditions such as the air, water level, pollution and noise. The fifth consists of composite indicators or estimates produced through combining and analyzing these four types of data. While most of the data in urban dashboards consist of traditional data updated monthly or yearly, operational and scientific data’s level of inclusion of real time big data in particular is increasing.
Topic:
Governance, Urban, Sustainability, Data, and Decision-Making
Political Geography:
Turkey and Global

2. Will India’s Proposed Data Protection Law Protect Privacy and Promote Growth?

Author:
Anirudh Burman
Publication Date:
03-2020
Content Type:
Working Paper
Institution:
Carnegie Endowment for International Peace
Abstract:
How should a legal framework for data protection balance the imperatives of protecting privacy and ensuring innovation and productivity growth? This paper examines the proposed data protection legislation in India from the perspective of whether it maintains this balance. In December 2019, the government introduced the Personal Data Protection Bill, 2019, in parliament, which would create the first cross-sectoral legal framework for data protection in India.1 This paper argues that the bill does not correctly address privacy-related harms in the data economy in India. Instead, the bill proposes a preventive framework that oversupplies government intervention and strengthens the state. This could lead to a significant increase in compliance costs for businesses across the economy and to a troubling dilution of privacy vis-à-vis the state. The paper argues that while the protection of privacy is an important objective, privacy also serves as a means to protecting other ends, such as free speech and sexual autonomy. A framework for protecting personal data has to be designed on a more precise understanding of the role of privacy in society and of the harms that emanate from violations of individual privacy.
Topic:
Science and Technology, Law, Privacy, and Data
Political Geography:
South Asia and India

3. Standards for Digital Cooperation

Author:
Michel Girard
Publication Date:
01-2020
Content Type:
Working Paper
Institution:
Centre for International Governance Innovation
Abstract:
Global data standards are urgently needed to foster digital cooperation and manage global tech platforms. No global organization is currently mandated to coordinate the development, maintenance and use of technical standards covering data value chains and policy-oriented standards covering data governance. Precedents exist where standards development work is coordinated by international organizations in sectors of the economy operating across borders, from aviation and maritime shipping to meteorology, food production, public health and the management of the internet. This paper proposes the creation of a Data Standards Task Force (DSTF), which would be entrusted with a dual mandate: enabling the development of technical standards to create data value chains and being accountable for the development of data governance standards needed by regulators to properly frame the leading big tech platforms (Facebook, Amazon, Apple, Microsoft and Google). The ultimate objective of the DSTF would be to create the required architecture for a “single data zone” where data can circulate freely between participating jurisdictions.
Topic:
Science and Technology, Social Media, Data, Digital Cooperation, and Big Tech
Political Geography:
Global Focus

4. Data Is Dangerous: Comparing the Risks That the United States, Canada and Germany See in Data Troves

Author:
Susan Ariel Aaronson
Publication Date:
04-2020
Content Type:
Working Paper
Institution:
Centre for International Governance Innovation
Abstract:
From posting photos and videos to tracking physical activity, apps can do almost anything, but while they may seem like harmless fun, they may also pose a threat to personal data and national security. This paper compares the different responses of the United States, Canada and Germany to data risks posed by popular apps such as FaceApp, Facebook, Strava, TikTok and ToTok. These apps and many others store troves of personal data that can be hacked and misused, putting users (and the countries in which they live) at risk.
Topic:
Security, Digital Economy, Social Media, and Data
Political Geography:
United States, Europe, Canada, Germany, and North America

5. Low inflation bends the Phillips curve around the world

Author:
Kristin Forbes, Joseph E. Gagnon, and Christopher G. Collins
Publication Date:
03-2020
Content Type:
Working Paper
Institution:
Peterson Institute for International Economics
Abstract:
This paper models inflation by combining the multicountry framework of one of its authors (Forbes) with the nonlinear specification proposed by the other two (Gagnon and Collins). The results find strong support for a Phillips curve that becomes nonlinear when inflation is low, in which case excess economic slack has little effect on inflation. This finding is consistent with evidence of downward nominal wage and price rigidity. The estimates also show a significant and economically meaningful Phillips curve relationship between slack and inflation when slack is negative (i.e., when output is above long-run potential). In this nonlinear model, international factors play a large role in explaining headline inflation, a role that has increased over time, supporting the results of Forbes’ linear model.
Topic:
Economics, Inflation, and Data
Political Geography:
Global Focus

6. Distributional National Accounts (DINA) with Household Survey Data: Methodology and Results for European Countries

Author:
Stefan Ederer, Stefan Humer, Stefan Jestl, and Emanuel List
Publication Date:
05-2020
Content Type:
Working Paper
Institution:
The Vienna Institute for International Economic Studies (WIIW)
Abstract:
The paper builds Distributional National Accounts (DINA) using household survey data. We present a transparent and reproducible methodology to construct DINA whenever administrative tax data are not available for research and apply it to various European countries. By doing so, we build synthetic microdata files which cover the entire distribution, include all income components individually aligned to national accounts, and preserve the detailed socioeconomic information available in the surveys. The methodology uses harmonized and publicly available data sources (SILC, HFCS) and provides highly comparable results. We discuss the methodological steps and their impact on the income distribution. In particular, we highlight the effects of imputations and the adjustment of the variables to national accounts totals. Furthermore, we compare different income concepts of both the DINA and EG-DNA approach of the OECD in a consistent way. Our results confirm that constructing DINA is crucial to get a better picture of the income distribution. Our methodology is well suited to build synthetic microdata files which can be used for policy evaluation like social impact analysis and microsimulation.
Topic:
Macroeconomics, Data, and Methods
Political Geography:
Europe

7. Covid-19: Recovering Estimates of the Infected Fatality Rate During an Ongoing Pandemic Through Partial Data

Author:
Matteo Villa, James F. Myers, and Federico Turkheimer
Publication Date:
05-2020
Content Type:
Commentary and Analysis
Institution:
Italian Institute for International Political Studies (ISPI)
Abstract:
In an ongoing epidemic, the case fatality rate is not a reliable estimate of a disease’s severity. This is particularly so when a large share of asymptomatic or pauci-symptomatic patients escape testing, or when overwhelmed healthcare systems are forced to limit testing further to severe cases only. By leveraging data on COVID-19, we propose a novel way to estimate a disease’s infected fatality rate, the true lethality of the disease, in the presence of sparse and partial information. We show that this is feasible when the disease has turned into a pandemic and data comes from a large number of countries, or regions within countries, as long as testing strategies vary sufficiently. For Italy, our method estimates an IFR of 1.1% (95% CI: 0.2% – 2.1%), which is strongly in line with other methods. At the global level, our method estimates an IFR of 1.6% (95% CI: 1.1% – 2.1%). This method also allows us to show that the IFR varies according to each country’s age structure and healthcare capacity.
Topic:
Health, Pandemic, Data, and COVID-19
Political Geography:
Europe, Italy, and Global Focus

8. Covid-19 and Italy’s Case Fatality Rate: What’s the Catch?

Author:
Matteo Villa
Publication Date:
03-2020
Content Type:
Commentary and Analysis
Institution:
Italian Institute for International Political Studies (ISPI)
Abstract:
COVID-19’s lethality in Italy is a highly discussed figure. When compared with other major countries, Italy’s 9.9% case fatality rate (CFR) as of 24 March 2020 is the highest by far. But relying on this figure is misleading. By itself, the CFR tells us almost nothing about COVID-19’s plausible lethality (infected fatality rate, or IFR). On the opposite, recent studies place China’s IFR at 0.7%. By relying on this figure, ISPI’s best estimate for COVID-19’s plausible lethality in Italy is 1.1%. The gap between the IFR and the CFR figures can be largely attributed to the number of infected persons that have not been tested and, therefore, escape counting. ISPI estimates that the number of active cases in Italy is at around 530,000 as of 24 March 2020, or almost ten times larger than the official count of 55,000 active cases. This paper shows that the CFR is an unreliable indicator of COVID-19’s plausible lethality, and there is not enough evidence to suggest that Italy’s IFR is much higher than expected. On the opposite, a direct comparison between the CFR and the IFR is much better placed to paint a more realistic picture of the evolution of the ongoing epidemic.
Topic:
Health, Pandemic, Data, and COVID-19
Political Geography:
Europe and Italy

9. NATO and 5G: what strategic lessons?

Author:
Andrea Gilli
Publication Date:
07-2020
Content Type:
Policy Brief
Institution:
NATO Defense College
Abstract:
Thanks to their higher speed, larger data volume, lower latency, and capacity to sustain very high density connections (including machine-to-machine communications), 5G networks are set to unleash a major economic revolution, potentially adding trillions of dollars to the global economy (at least according to recent forecasts). From smart cities to Artificial Intelligence (AI); telemedicine to driverless cars; virtual reality to the Internet of Things (IoT); Industry 4.0 to all manner of applications that will comprise this new ecosystem, 5G ushers in enormous opportunities. 5G communications still require significant investments, both for research and development of key technologies, and for building the supporting infrastructure. Moreover, the next generation of telecommunications raises several important questions about the political economy of spectrum allocation and standard definition, their military applications, the role of Chinese companies and the attendant cybersecurity risks. These are all relevant topics for NATO from which the Alliance can draw some strategic lessons.
Topic:
NATO, Military Strategy, Data, 5G, and Internet of Things
Political Geography:
Europe, North America, and Global Focus

10. Protecting data, ruling over the algorithm: The Regulation Challenge for the European Union

Author:
George Pagoulatos and Vasiliki Poula
Publication Date:
10-2020
Content Type:
Working Paper
Institution:
Hellenic Foundation for European and Foreign Policy (ELIAMEP)
Abstract:
The European Union has managed to reposition data protection laws from the periphery of legal consciousness to the centre of intensive legal and media publicity. And it has done so, primarily, through the enactment of the General Data Protection Regulation Act (GDPR) and its related case law. In particular, the legal saga of Schrems ΙΙ has recently confirmed the regulatory capacity of the EU. However, while the European legal order has led the way in codifying the unknown territory of new technologies, there is still the concern that the EU is handling the new challenges in a “legalistic” way. In particular, we explore the persistent challenge of the exploitation of data in the commercial and political context through microtargeting. We also explain why algorithmic regulation should become a priority in the EU’s regulatory agenda, so that the EU adopts a pre-emptive rather than a firefighting role. Ultimately, we have to also be aware of the limits of regulation in an era of constantly evolving technology: finding ways to live with technological evolution should also be an EU priority.
Topic:
Science and Technology, European Union, Regulation, and Data
Political Geography:
Europe