Building a Responsible Open Data Ecosystem: Mobility Data & COVID-19


Blog by Anna Livaccari: “Over the last year and a half, COVID-19 has changed the way people move, work, shop, and live. The pandemic has necessitated new data-sharing initiatives to understand new patterns of movement, analyze the spread of COVID-19, and inform research and decision-making. Earlier this year, Cuebiq collaborated with the Open Data Institute (ODI) and NYU’s The GovLab to explore the efficacy of these new initiatives. 

The ODI is a non-profit organization that brings together commercial and non-commercial organizations and governments to address global issues as well as advise on how data can be used for positive social good. As part of a larger project titled “COVID-19: Building an open and trustworthy data ecosystem,” the ODI published a new report with Cuebiq and The GovLab, an action research center at NYU’s Tandon School of Engineering that has pioneered the concept of data collaboratives and runs the data stewards network among other initiatives to advance data-driven decision making in the public interest. This report, “The Use of Mobility Data for Responding to the COVID-19 Pandemic,” specifically addresses key enablers and obstacles to the successful sharing of mobility data between public and private organizations during the pandemic….

Since early 2020, researchers and policy makers have been eager to understand the impact of COVID-19. With the help of mobility data, organizations from different sectors were able to answer some of the most pressing questions regarding the pandemic: questions about policy decisions, mass-communication strategies, and overall socioeconomic impact. Mobility data can be applied to specific use cases and can help answer complex questions, a fact that The GovLab discusses in its short-form mobility data brief. Understanding exactly how organizations employ mobility data can also improve how institutions operate post-pandemic and make data collaboration as a whole more responsible, sustainable, and systemic.

Cuebiq and the GovLab identified 51 projects where mobility data was used for pandemic response, and then selected five case studies to analyze further. The report defines mobility data, the ethics surrounding it, and the lessons learned for the future….(More)”.

Co-Develop: Digital Public Infrastructure for an Equitable Recovery


A report by The Rockefeller Foundation: “Digital systems that accomplish basic, society-wide functions played a critical role in the response to the Covid-19 pandemic, enabling both public health and social protection measures. The pandemic has shown the value of these systems, but it has also revealed how they are non-existent or weak in far too many places.

As we build back better, we have an unprecedented opportunity to build digital public infrastructure that promotes inclusion, human rights, and progress toward global goals. This report outlines an agenda for international cooperation on digital public infrastructure to guide future investments and expansion of this critical tool.

6 Key Areas for International Cooperation on Digital Public Infrastructure

  1. A vision for digital public infrastructure as a whole, backed by practice, research, and evaluation.
  2. A global commons based on digital public goods.
  3. Safeguards for inclusion, trust, competition, security, and privacy.
  4. Tools that use data in digital public infrastructure for public value and private empowerment.
  5. Private and public capacity, particularly in implementing countries.
  6. Silo-busting, built-for-purpose coordinating, funding, and financing….(More)”.

Citizen science—discovering (new) solutions to wicked problems


Paper by Ian R. Hodgkinson, Sahar Mousavi & Paul Hughes: “The article explores the role citizen science can play in discovering new solutions to pressing wicked problems. Using illustrations of citizen science projects to show how and where citizens have been fundamental in creating solutions and driving change, the article calls for wider recognition and use of citizen science in public administration and management research. For wider utilization of citizens’ active co-participation in research design, delivery and dissemination, the article presents a set of citizen science pathways….(More)”.

Custodians of the Internet


Book by Tarleton Gillespie on “Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media…Most users want their Twitter feed, Facebook page, and YouTube comments to be free of harassment and porn. Whether faced with “fake news” or livestreamed violence, “content moderators”—who censor or promote user-posted content—have never been more important. This is especially true when the tools that social media platforms use to curb trolling, ban hate speech, and censor pornography can also silence the speech you need to hear.

In this revealing and nuanced exploration, award-winning sociologist and cultural observer Tarleton Gillespie provides an overview of current social media practices and explains the underlying rationales for how, when, and why these policies are enforced. In doing so, Gillespie highlights that content moderation receives too little public scrutiny even as it is shapes social norms and creates consequences for public discourse, cultural production, and the fabric of society. Based on interviews with content moderators, creators, and consumers, this accessible, timely book is a must-read for anyone who’s ever clicked “like” or “retweet.”…(More)”.

World Public Sector Report 2021


UN-DESA: “Five years after the start of the implementation of the 2030 Agenda, governance issues remain at the forefront. The COVID-19 pandemic has highlighted even more the importance of national institutions for the achievement of the SDGs. The World Public Sector Report 2021 focuses on three dimensions of institutional change at the national level. First, it documents changes in institutional arrangements for SDG implementation since 2015. Second, it assesses the development, performance, strengths and weaknesses of follow-up and review systems for the SDGs. Third, it examines efforts made by governments and other stakeholders to enhance the capacity of public servants to implement the SDGs. Based on in-depth examination of institutional arrangements for SDG implementation in a sample of 24 countries in all regions, the report aims to draw attention to the institutional dimension of SDG implementation and provide lessons for national policymakers in this regard. The report also takes stock of the impacts of the COVID-19 pandemic on national institutions and their implications for delivering on the 2030 Agenda….(More)”.

Atlas of the Invisible: using data to map the climate crisis



James Cheshire and Oliver Uberti in The Guardian: “In a new book, Atlas of the Invisible, the geographer James Cheshire and designer Oliver Uberti redefine what an atlas can be. The following eight graphics reveal some of the causes and consequences of the climate crisis that are hard to detect with the naked eye but become clear when the data is collected and visualised.

Fasten your seatbelts

The likelihood of turbulent air while flying
The likelihood of turbulent air while flying. Photograph: Oliver Uberti/Luke Storer, Paul Williams and Manoj Joshi, University of Reading

The Federal Aviation Administration in the US reported only nine serious injuries from clear-air turbulence out of 1 billion passengers in 2018, but the risk persists because neither captains nor their onboard instruments can see rough air ahead; instead they rely on other pilots and flight dispatchers to warn them. In recent years meteorologists have alerted aviators to bigger bumps coming this century. Simulations show that as the climate crisis makes jet streams more erratic, the chances of encountering turbulent airspace will soar, especially in autumn and winter along the busiest routes. All the more reason to cut back on transatlantic flights….(More)”

The Open-Source Movement Comes to Medical Datasets


Blog by Edmund L. Andrews: “In a move to democratize research on artificial intelligence and medicine, Stanford’s Center for Artificial Intelligence in Medicine and Imaging (AIMI) is dramatically expanding what is already the world’s largest free repository of AI-ready annotated medical imaging datasets.

Artificial intelligence has become an increasingly pervasive tool for interpreting medical images, from detecting tumors in mammograms and brain scans to analyzing ultrasound videos of a person’s pumping heart.

Many AI-powered devices now rival the accuracy of human doctors. Beyond simply spotting a likely tumor or bone fracture, some systems predict the course of a patient’s illness and make recommendations.

But AI tools have to be trained on expensive datasets of images that have been meticulously annotated by human experts. Because those datasets can cost millions of dollars to acquire or create, much of the research is being funded by big corporations that don’t necessarily share their data with the public.

“What drives this technology, whether you’re a surgeon or an obstetrician, is data,” says Matthew Lungren, co-director of AIMI and an assistant professor of radiology at Stanford. “We want to double down on the idea that medical data is a public good, and that it should be open to the talents of researchers anywhere in the world.”

Launched two years ago, AIMI has already acquired annotated datasets for more than 1 million images, many of them from the Stanford University Medical Center. Researchers can download those datasets at no cost and use them to train AI models that recommend certain kinds of action.

Now, AIMI has teamed up with Microsoft’s AI for Health program to launch a new platform that will be more automated, accessible, and visible. It will be capable of hosting and organizing scores of additional images from institutions around the world. Part of the idea is to create an open and global repository. The platform will also provide a hub for sharing research, making it easier to refine different models and identify differences between population groups. The platform can even offer cloud-based computing power so researchers don’t have to worry about building local resource intensive clinical machine-learning infrastructure….(More)”.

The “Onion Model”: A Layered Approach to Documenting How the Third Wave of Open Data Can Provide Societal Value


Blog post by Andrew Zahuranec, Andrew Young and Stefaan Verhulst: “There’s a lot that goes into data-driven decision-making. Behind the datasets, platforms, and analysts is a complex series of processes that inform what kinds of insight data can produce and what kinds of ends it can achieve. These individual processes can be hard to understand when viewed together but, by separating the stages out, we can not only track how data leads to decisions but promote better and more impactful data management.

Earlier this year, The Open Data Policy Lab published the Third Wave of Open Data Toolkit to explore the elements of data re-use. At the center of this toolkit was an abstraction that we call the Open Data Framework. Divided into individual, onion-like layers, the framework shows all the processes that go into capitalizing on data in the third wave, starting with the creation of a dataset through data collaboration, creating insights, and using those insights to produce value.

This blog tries to re-iterate what’s included in each layer of this data “onion model” and demonstrate how organizations can create societal value by making their data available for re-use by other parties….(More)”.

(Successful) Democracies Breed Their Own Support


Paper by Daron Acemoglu et al: “Using large-scale survey data covering more than 110 countries and exploiting within-country variation across cohorts and surveys, we show that individuals with longer exposure to democracy display stronger support for democratic institutions. We bolster these baseline findings using an instrumental-variables strategy exploiting regional democratization waves and focusing on immigrants’ exposure to democracy before migration. In all cases, the timing and nature of the effects are consistent with a causal interpretation. We also establish that democracies breed their own support only when they are successful: all of the effects we estimate work through exposure to democracies that are successful in providing economic growth, peace and political stability, and public goods….(More)”.

Big Data in Biodiversity Science: A Framework for Engagement


Paper by Tendai Musvuugwa, Muxe Gladmond Dlomu and Adekunle Adebowale: “Despite best efforts, the loss of biodiversity has continued at a pace that constitutes a major threat to the efficient functioning of ecosystems. Curbing the loss of biodiversity and assessing its local and global trends requires a vast amount of datasets from a variety of sources. Although the means for generating, aggregating and analyzing big datasets to inform policies are now within the reach of the scientific community, the data-driven nature of a complex multidisciplinary field such as biodiversity science necessitates an overarching framework for engagement. In this review, we propose such a schematic based on the life cycle of data to interrogate the science. The framework considers data generation and collection, storage and curation, access and analysis and, finally, communication as distinct yet interdependent themes for engaging biodiversity science for the purpose of making evidenced-based decisions. We summarize historical developments in each theme, including the challenges and prospects, and offer some recommendations based on best practices….(More)”.