Paper by Salla Rantala, Brent Swallow, Anu Lähteenmäki-Uutela and Riikka Paloniemi: “The rapid development of new digital technologies for natural resource management has created a need to design and update governance regimes for effective and transparent generation, sharing and use of digital natural resource data. In this paper, we contribute to this novel area of investigation from the perspective of institutional change. We develop a conceptual framework to analyze how emerging natural resource data governance is shaped by related natural resource governance; complex, multilevel systems of actors, institutions and their interplay. We apply this framework to study forest data governance and its roots in forest governance in Finland and Canada. In Finland, an emphasis on open forest data and the associated legal reform represents the instutionalization of a mixed open data-bioeconomy discourse, pushed by higher-level institutional requirements towards greater openness and shaped by changing actor dynamics in relation to diverse forest values. In Canada, a strong institutional lock-in around public-private partnerships in forest management has engendered an approach that is based on voluntary data sharing agreements and fragmented data management, conforming with the entrenched interests of autonomous sub-national actors and thus extending the path-dependence of forest governance to forest data governance. We conclude by proposing how the framework could be further developed and tested to help explain which factors condition the formation of natural resource data institutions and subsequently the (re-)distribution of benefits they govern. Transparent and efficient data approaches can be enabled only if the analysis of data institutions is given equal attention to the technological development of data solutions…(More)”.
Designing Data Spaces: The Ecosystem Approach to Competitive Advantage
Open access book edited by Boris Otto, Michael ten Hompel, and Stefan Wrobel: “…provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries.
To this end, the book is structured in four parts: Part I “Foundations and Contexts” provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II “Data Space Technologies” subsequently details various implementation aspects of IDS and GAIA-X, including eg data usage control, the usage of blockchain technologies, or semantic data integration and interoperability. Next, Part III describes various “Use Cases and Data Ecosystems” from various application areas such as agriculture, healthcare, industry, energy, and mobility. Part IV eventually offers an overview of several “Solutions and Applications”, eg including products and experiences from companies like Google, SAP, Huawei, T-Systems, Innopay and many more.
Overall, the book provides professionals in industry with an encompassing overview of the technological and economic aspects of data spaces, based on the International Data Spaces and Gaia-X initiatives. It presents implementations and business cases and gives an outlook to future developments. In doing so, it aims at proliferating the vision of a social data market economy based on data spaces which embrace trust and data sovereignty…(More)”.
Identifying and addressing data asymmetries so as to enable (better) science
Paper by Stefaan Verhulst and Andrew Young: “As a society, we need to become more sophisticated in assessing and addressing data asymmetries—and their resulting political and economic power inequalities—particularly in the realm of open science, research, and development. This article seeks to start filling the analytical gap regarding data asymmetries globally, with a specific focus on the asymmetrical availability of privately-held data for open science, and a look at current efforts to address these data asymmetries. It provides a taxonomy of asymmetries, as well as both their societal and institutional impacts. Moreover, this contribution outlines a set of solutions that could provide a toolbox for open science practitioners and data demand-side actors that stand to benefit from increased access to data. The concept of data liquidity (and portability) is explored at length in connection with efforts to generate an ecosystem of responsible data exchanges. We also examine how data holders and demand-side actors are experimenting with new and emerging operational models and governance frameworks for purpose-driven, cross-sector data collaboratives that connect previously siloed datasets. Key solutions discussed include professionalizing and re-imagining data steward roles and functions (i.e., individuals or groups who are tasked with managing data and their ethical and responsible reuse within organizations). We present these solutions through case studies on notable efforts to address science data asymmetries. We examine these cases using a repurposable analytical framework that could inform future research. We conclude with recommended actions that could support the creation of an evidence base on work to address data asymmetries and unlock the public value of greater science data liquidity and responsible reuse…(More)”.
IPR and the Use of Open Data and Data Sharing Initiatives by Public and Private Actors
Study commissioned by the European Parliament’s Policy Department for Citizens’ Rights and Constitutional Affairs at the request of the Committee on Legal Affairs: “This study analyses recent developments in data related practice, law and policy as well as the current legal framework for data access, sharing, and use in the European Union. The study identifies particular issues of concern and highlights respective need for action. On this basis, the study evaluates the Commission’s proposal for a Data Act…(More)”.
Mobile Big Data for Cities: Urban climate resilience strategies for low- and middle-income countries
GSMA Report: “Cities in low- and middle-income countries (LMICs) are increasingly vulnerable to the impacts of climate change, including rising sea levels and storm surges, heat stress, extreme precipitation, inland and coastal flooding and landslides. The physical effects of climate change have disrupted supply chains, led to lost productivity from health issues and incurred costs associated with rebuilding or repairing physical assets, such as buildings and transport infrastructure.
Resulting from the adverse effects of climate change, municipal governments and systems often lack the adaptive capacity or resources to keep up. Hence, the adaptative capacity of cities can be enhanced by corresponding to more comprehensive and real-time data. Such data will give municipal agencies the ability to watch events as they unfold, understand how demand patterns are changing and respond with faster and lower-cost solutions. This provides a solid basis for innovative data sources, such as mobile big data (MBD), to help strengthen urban climate resilience.
This study highlights the potential value of using mobile big data (MBD) in preparing for and responding to climate-related disasters in cities. In line with the “3As” of urban climate resilience, a framework adopted by the GSMA Mobile for Development programme, this study examines how MBD could help cities and their populations adapt to multiple long-term challenges brought about by climate change, anticipate climate hazards or events and/or absorb (face, manage and recover from) adverse conditions, emergencies or disasters…(More)”.
Efficient and stable data-sharing in a public transit oligopoly as a coopetitive game
Paper by Qi Liu and Joseph Y.J. Chow: “In this study, various forms of data sharing are axiomatized. A new way of studying coopetition, especially data-sharing coopetition, is proposed. The problem of the Bayesian game with signal dependence on actions is observed; and a method to handle such dependence is proposed. We focus on fixed-route transit service markets. A discrete model is first presented to analyze the data-sharing coopetition of an oligopolistic transit market when an externality effect exists. Given a fixed data sharing structure, a Bayesian game is used to capture the competition under uncertainty while a coalition formation model is used to determine the stable data-sharing decisions. A new method of composite coalition is proposed to study efficient markets. An alternative continuous model is proposed to handle large networks using simulation. We apply these models to various types of networks. Test results show that perfect information may lead to perfect selfishness. Sharing more data does not necessarily improve transit service for all groups, at least if transit operators remain non-cooperative. Service complementarity does not necessarily guarantee a grand data-sharing coalition. These results can provide insights on policy-making, like whether city authorities should enforce compulsory data-sharing along with cooperation between operators or setup a voluntary data-sharing platform…(More)”.
Expert Group to Eurostat releases its report on the re-use of privately-held data for Official Statistics
Blog by Stefaan Verhulst: “…To inform its efforts, Eurostat set up an expert group in 2021 on ‘Facilitating the use of new data sources for official statistics’ to reflect on opportunities offered by the data revolution to enhance the reuse of private sector data for official statistics”.
Data reuse is a particularly important area for exploration, both because of the potential it offers and because it is not sufficiently covered by current policies. Data reuse occurs when data collected for one purpose is shared and reused for another, often with resulting social benefit. Currently, this process is limited by a fragmented or outdated policy and regulatory framework, and often quite legitimate concerns over ethical challenges represented by sharing (e.g., threats to individual privacy).
Nonetheless, despite such hurdles, a wide variety of evidence supports the idea that responsible data reuse can strengthen and supplement official statistics, and potentially lead to lasting and positive social impact.
Having reviewed and deliberated about these issues over several months, the expert group issued its report this week entitled “Empowering society by reusing privately held data for official statistics”. It seeks to develop recommendations and a framework for sustainable data reuse in the production of official statistics. It highlights regulatory gaps, fragmentation of practices, and a lack of clarity regarding businesses’ rights and obligations, and it draws attention to the ways in which current efforts to reuse data have often led to ad-hoc, one-off projects rather than systematic transformation.
The report considers a wide variety of evidence, including historical, policy, and academic research, as well as the theoretical literature… (More)”.
Read the Eurostat report at: https://ec.europa.eu/eurostat/cros/content/read-final-report_en
Parallel Worlds: Revealing the Inequity of Access to Urban Spaces in Mexico City Through Mobility Data
Paper by Emmanuel Letouzé et al: “The near-ubiquitous use of mobile devices generates mobility data that can paint pictures of urban behavior at unprecedented levels of granularity and complexity. In the current period of intense sociopolitical polarization, mobility data can help reveal which urban spaces serve to attenuate or accentuate socioeconomic divides. If urban spaces served to bridge class divides, people from different socioeconomic groups would be prone to mingle in areas further removed from their homes, creating opportunities for sharing experiences in the physical world. In an opposing scenario, people would remain among neighbors and peers, creating “local urban bubbles” that reflect and reinforce social inequities and their adverse effects on social mixity, cohesion, and trust. These questions are especially salient in cities with high levels of socioeconomic inequality, such as Mexico City.
Building on a joint research project between Data-Pop Alliance and Oxfam Mexico titled “Mundos Paralelos” [Parallel Worlds], this paper leverages privacy-preserving mobility data to unveil the unequal use and appropriation of urban spaces by the inhabitants of Mexico City. This joint research harnesses a year (2018–2019) of anonymized mobility data to perform mobility and behavioral analysis of specific groups at high spatial resolution. Its main findings suggest that Mexico City is a spatially fragmented, even segregated city: although distinct socioeconomic groups do meet in certain spaces, a pattern emerges where certain points of interest are exclusive to the high- and low-income groups analyzed in this paper. The results demonstrate that spatial inequality in Mexico City is marked by unequal access to government services and cultural sites, which translates into unequal experiences of urban life and biased access to the city. The paper concludes with a series of public policy recommendations to foster a more equitable and inclusive appropriation of public space…(More)”.
Public Health Struggles to Get Rid of Its Data Silos
Article by Carl Smith: “…In September 2019, before the first COVID-19 case was reported in the U.S., the Council of State and Territorial Epidemiologists (CSTE) published a report calling for a “public health data superhighway” capable of detecting health challenges and informing the response to them.
The technology to accomplish this already exists, CSTE noted. But even so, “public health departments struggle to take advantage of these advancements and continue to rely on sluggish, manual processes like paper records, phone calls, spreadsheets, and faxes requiring manual data entry.”
The limitations of this data ecosystem became a considerable liability when public health officials ran up against a virus that had never been seen before, working to both understand and control it at the same time. “There were mixed messages, and the pandemic made us look like our data was not adequate to the task,” says Gail C. Christopher, executive director of the National Collaborative for Health Equity.
This provided an opening for political or social actors to push anti-public health campaigns that continue to fuel public distrust of public health leaders, workers and guidelines. Reliable and timely data could help heal some of the harm that has been done, says Christopher.
“I think every health department has aspects of a complete data system,” says Brian Castrucci, president and CEO of the DeBeaumont Foundation, which funded the CSTE report. “But we need to articulate what a complete data system looks like — right now, we don’t even know what the destination is, so it’s hard to tell when we’re lost.”
A Data Modernization Movement
Data systems improvement is one of three major topics that recur in discussions about rebuilding public health, along with workforce expansion and regaining public trust, says Michael Fraser, executive director of the Association of State and Territorial Health Officials (ASTHO). “A major finding from all the conversations that we’ve had about COVID is that data systems need to be modernized.”
In recent years, there has been considerable effort by the public health community to find ways to move away from “silo-based” or disease-based surveillance between states and the federal government to an enterprise-wide system, says Fraser. “During COVID, a lot of states had a hard time sharing data, and there are many parts of this country where people go back and forth between multiple states on any given day — it’s not just the ability for states to share data with the federal government, but for states to share amongst themselves.”
The CDC’s Data Modernization Initiative, launched in 2020, is a $1.2 billion effort to address this challenge, envisioning resilient, connected systems that could “solve problems before they happen and reduce the harm caused by the problems that do happen.” The CSTE campaign “Data: Elemental to Health” is working to ensure sustained public funding for this work…(More)”.
Satellites zoom in on cities’ hottest neighborhoods to help combat the urban heat island effect
Article by Daniel P. Johnson: “Spend time in a city in summer and you can feel the urban heat rising from the pavement and radiating from buildings. Cities are generally hotter than surrounding rural areas, but even within cities, some residential neighborhoods get dangerously warmer than others just a few miles away.
Within these “micro-urban heat islands,” communities can experience heat wave conditions well before officials declare a heat emergency.
I use Earth-observing satellites and population data to map these hot spots, often on projects with NASA. Satellites like the Landsat program have become crucial for pinpointing urban risks so cities can prepare for and respond to extreme heat, a top weather-related killer.
Among the many things we’ve been able to track with increasingly detailed satellite data is that the hottest neighborhoods are typically low-income and often have predominantly Black or Hispanic residents….
With rising global temperatures increasing the likelihood of dangerous heat waves, cities need to know which neighborhoods are at high risk. Excessive heat can lead to dehydration, heat exhaustion, heat stroke and even death with prolonged exposure, and the most at-risk residents often lack financial resources to adapt.
Satellite instruments can identify communities vulnerable to extreme heat because they can measure and map the surface urban heat island in high detail.
For example, industrial and commercial zones are frequently among the hottest areas in cities. They typically have fewer trees to cool the air and more pavement and buildings to retain and radiate heat…(More)”