Paper by Aichida Ul-Aflaha, Mary McNeil and Saki Kumagai: “This paper summarizes the World Bank’s knowledge on open, participatory, and responsive governance. It offers a rethinking and broadening of the term “open government” in light of the World Bank Group’s Strategic Framework for Mainstreaming Citizen Engagement in World Bank Group Operations and World Development Report 2017: Governance and the Law. The building blocks of open government are documented based on experience and growing trends. The paper also tries to identify new frontiers and presents a summary of action steps for advancing the open, participatory, and responsive governance agenda within the World Bank….(More)”.
Coronavirus: seven ways collective intelligence is tackling the pandemic
Article by Kathy Peach: “Tackling the emergence of a new global pandemic is a complex task. But collective intelligence is now being used around the world by communities and governments to respond.
At its simplest, collective intelligence is the enhanced capacity created when distributed groups of people work together, often with the help of technology, to mobilise more information, ideas and insights to solve a problem.
Advances in digital technologies have transformed what can be achieved through collective intelligence in recent years – connecting more of us, augmenting human intelligence with machine intelligence, and helping us to generate new insights from novel sources of data. It is particularly suited to addressing fast-evolving, complex global problems such as disease outbreaks.
Here are seven ways it is tackling the coronavirus pandemic:
1. Predicting and modelling outbreaks
On the December 31, 2019, health monitoring platform Blue Dot alerted its clients to the outbreak of a flu-like virus in Wuhan, China – nine days before the World Health Organization (WHO) released a statement about it. It then correctly predicted that the virus would jump from Wuhan to Bangkok, Seoul, Taipei and Tokyo.
Blue Dot combines existing data sets to create new insights. Natural language processing, the AI methods that understand and translate human-generated text, and machine learning techniques that learn from large volumes of data, sift through reports of disease outbreaks in animals, news reports in 65 languages, and airline passenger information. It supplements the machine-generated model with human intelligence, drawing on diverse expertise from epidemiologists to veterinarians and ecologists to ensure that its conclusions are valid.
2. Citizen science
The BBC carried out a citizen science project in 2018, which involved members of the public in generating new scientific data about how infections spread. People downloaded an app that monitored their GPS position every hour, and asked them to report who they had encountered or had contact with that day….(More).
Global Traffic Scorecard
Press Release: “…the 2019 INRIX Global Traffic Scorecard… identified, analyzed and ranked congestion and mobility trends in more than 900 cities, across 43 countries. To reflect an increasingly diverse mobility landscape, the 2019 Global Traffic Scorecard includes both public transport and biking metrics for the first time….
At the global level, Bogota topped the list of the cities most impacted by traffic congestion with drivers losing 191 hours a year to congestion, followed by Rio de Janeiro (190 hours), Mexico City (158 hours) and Istanbul (150 hours). Latin American and European cities again dominated the Top 10, highlighting the rapid urbanisation occurring in Latin America and historic European cities that took shape long before the age of automobile….
INRIX fuses anonymous data from diverse datasets – such as phones, cars, trucks and cities – that leads to robust and accurate insights. The data used in the 2019 Global Traffic Scorecard is the congested or uncongested status of every segment of road for every minute of the day, as used by millions of drivers around the world that rely on INRIX-based traffic services….(More)”
Social tipping dynamics for stabilizing Earth’s climate by 2050
Paper by Ilona M. Otto et al: “…In this paper, we examine a number of potential “social tipping elements” (STEs) for decarbonization that represent specific subdomains of the planetary social-economic system. Tipping of these subsystems could be triggered by “social tipping interventions” (STIs) that could contribute to rapid transition of the world system into a state of net zero anthropogenic greenhouse gas emissions. The results reported in this study are based on an online expert survey, an expert workshop, and an extensive literature review (SI Appendix).
Our results complement the existing shared socioeconomic pathways (SSPs) that are used alongside the representative concentration pathways (RCPs) to analyze the feedbacks between climate change and socioeconomic factors, such as world population growth, economic development, and technological progress. Our results could be useful for exploring possible transformative pathways leading to scenarios that reach net zero emissions by 2050.
…Various types of tipping processes can be differentiated in the literature. Many authors refer to critical thresholds , a notion closely related to the metaphor of a “butterfly effect”. Other processes related to tipping dynamics include metamorphosis, where a rapid loss of structures of one sort occurs simultaneously with the development of new structures, as well as cascades driven by positive feedbacks in processes occurring simultaneously at smaller scales.
The social tipping dynamics of interest for this study are typically manifested as spreading processes in complex social networks of behaviors, opinions, knowledge, technologies, and social norms, including spreading processes of structural change and reorganization. These spreading processes resemble contagious dynamics observed in epidemiology that spread through social networks. Once triggered, such processes can be irreversible and difficult to stop. Similar contagious dynamics have been observed in human behavior, for example in assaultive violence, participation in social movements, or health-related behaviors and traits, such as smoking or obesity..(More)”.
Systems Thinking and Regulatory Governance: A Review of the International Academic Literature
Paper by Jeroen van der Heijden: “This research paper presents findings from a broad scoping of the international academic literature on the use of systems thinking and systems science in regulatory governance and practice. It builds on a systematic review of peer-reviewed articles published in the top 15 journals for regulatory scholarship. The aim of the research paper is to introduce those working in a regulatory environment to the key concepts of systems thinking and systems science, and to discuss the state of the art of regulatory knowledge on these topics.
It addresses five themes:
(1) the evolution of systems thinking,
(2) examples of systems thinking from the academic literature,
(3) evidence of how systems thinking helps improving regulatory governance, and
(4) the epistemic challenges and
(5) ethical challenges that come with applying systems thinking to regulatory governance and practice….(More)”.
Wanted: Data Stewards: (Re-)Defining The Roles and Responsibilities of Data Stewards for an Age of Data Collaboration
Stefaan G. Verhulst, Andrew Zahuranec, Andrew Young and Michelle Winowatan at Data & Policy: “As data grows increasingly prevalent in our economy, it is increasingly clear, too, that tremendous societal value can be derived from reusing and combining previously separate datasets. One avenue that holds particular promise are data collaboratives. Data collaboratives are a new form of partnership in which data (such as data owned by corporations) or data expertise is made accessible for external parties (such as academics or statistical offices) working in the public interest. By bringing together a wide range of inter-sectoral expertise to bear on the data, collaboration can result in new insights and innovations, and can help unlock the public good potential of previously siloed data or expertise.
Yet, not all data collaboratives are successful or go beyond pilots. Based on research and analysis of hundreds of data collaboratives, one factor seems to stand out as determinative of success above all others — whether there exist individuals or teams within data-holding organizations who are empowered to proactively initiate, facilitate and coordinate data collaboratives toward the public interest. We call these individuals and teams “data stewards.”
They systematize the process of partnering, and help scale efforts when there are fledgling signs of success. Data stewards are essential for accelerating the re-use of data in the public interest by providing functional access, and more generally, to unlock the potential of our data age. Data stewards form an important — and new — link in the data value chain.
In its final report, the European Commission’s High-Level Expert Group on Business-to-Government (B2G) Data Sharing also noted the need for data stewards to enable responsible, accountable data sharing for the public interest. In their report, they write:
“A key success factor in setting up sustainable and responsible B2G partnerships is the existence, within both public- and private-sector organisations, of individuals or teams that are empowered to proactively initiate, facilitate and coordinate B2G data sharing when necessary. As such, ‘data stewards’ should become a recognised function.”
The report goes on further to acknowledge the need to scope, design, and establish a network or a community of practice around data stewardship.
Wanted: Data Stewards
A new position paper, released by The GovLab within the context of the UN Statistical Commission High-Level Forum on Official Statistics which focused on “Data stewardship — a solution for official statistics’ predicament?” seeks to begin that work. The paper, titled “Wanted: Data Stewards: (Re-)Defining The Roles and Responsibilities of Data Stewards for an Age of Data Collaboration” tackles questions regarding the profile and potential of data stewards. It aims to provide an operational roadmap to support the implementation (or expansion) of data stewardship functions in public- and private-sector entities; and to start building a community of expertise.
Moreover, it addresses the tendency to conflate the roles of data stewards with those of individuals or groups who might better be described as chief privacy, chief data or chief security officers. This slippage is perhaps understandable, we need to redefine the role that is somewhat broader. While data management, privacy and security are key components of trusted and effective data collaboratives, the real goal is to re-use data for broader social goals (while preventing any potential harms that may result from sharing).
In particular the position paper — which captures lived experience of numerous data stewards- seeks to provide more clarity on how data stewards can accomplish these duties by:
- Defining the responsibilities of a data steward; and
- Identifying the roles which a data steward must fill to achieve these responsibilities…(More)”.
Freedom in the World 2020 – A Leaderless Struggle for Democracy
Report by Freedom House: “Democracy and pluralism are under assault. Dictators are toiling to stamp out the last vestiges of domestic dissent and spread their harmful influence to new corners of the world. At the same time, many freely elected leaders are dramatically narrowing their concerns to a blinkered interpretation of the national interest. In fact, such leaders—including the chief executives of the United States and India, the world’s two largest democracies—are increasingly willing to break down institutional safeguards and disregard the rights of critics and minorities as they pursue their populist agendas. As a result of these and other trends, Freedom House found that 2019 was the 14th consecutive year of decline in global freedom.
The gap between setbacks and gains widened compared with 2018, as individuals in 64 countries experienced deterioration in their political rights and civil liberties while those in just 37 experienced improvements. The negative pattern affected all regime types, but the impact was most visible near the top and the bottom of the scale. More than half of the countries that were rated Free or Not Free in 2009 have suffered a net decline in the past decade…The unchecked brutality of autocratic regimes and the ethical decay of democratic powers are combining to make the world increasingly hostile to fresh demands for better governance. A striking number of new citizen protest movements have emerged over the past year, reflecting the inexhaustible and universal desire for fundamental rights. However, these movements have in many cases confronted deeply entrenched interests that are able to endure considerable pressure and are willing to use deadly force to maintain power…(More)”.
Beyond Randomized Controlled Trials
Iqbal Dhaliwal, John Floretta & Sam Friedlander at SSIR: “…In its post-Nobel phase, one of J-PAL’s priorities is to unleash the treasure troves of big digital data in the hands of governments, nonprofits, and private firms. Primary data collection is by far the most time-, money-, and labor-intensive component of the vast majority of experiments that evaluate social policies. Randomized evaluations have been constrained by simple numbers: Some questions are just too big or expensive to answer. Leveraging administrative data has the potential to dramatically expand the types of questions we can ask and the experiments we can run, as well as implement quicker, less expensive, larger, and more reliable RCTs, an invaluable opportunity to scale up evidence-informed policymaking massively without dramatically increasing evaluation budgets.
Although administrative data hasn’t always been of the highest quality, recent advances have significantly increased the reliability and accuracy of GPS coordinates, biometrics, and digital methods of collection. But despite good intentions, many implementers—governments, businesses, and big NGOs—aren’t currently using the data they already collect on program participants and outcomes to improve anti-poverty programs and policies. This may be because they aren’t aware of its potential, don’t have the in-house technical capacity necessary to create use and privacy guidelines or analyze the data, or don’t have established partnerships with researchers who can collaborate to design innovative programs and run rigorous experiments to determine which are the most impactful.
At J-PAL, we are leveraging this opportunity through a new global research initiative we are calling the “Innovations in Data and Experiments for Action” Initiative (IDEA). IDEA supports implementers to make their administrative data accessible, analyze it to improve decision-making, and partner with researchers in using this data to design innovative programs, evaluate impact through RCTs, and scale up successful ideas. IDEA will also build the capacity of governments and NGOs to conduct these types of activities with their own data in the future….(More)”.
Open peer-review platform for COVID-19 preprints
Michael A. Johansson & Daniela Saderi in Nature: “The public call for rapid sharing of research data relevant to the COVID-19 outbreak (see go.nature.com/2t1lyp6) is driving an unprecedented surge in (unrefereed) preprints. To help pinpoint the most important research, we have launched Outbreak Science Rapid PREreview, with support from the London-based charity Wellcome. This is an open-source platform for rapid review of preprints related to emerging outbreaks (see https://outbreaksci.prereview.org).
These reviews comprise responses to short, yes-or-no questions, with optional commenting. The questions are designed to capture structured, high-level input on the importance and quality of the research, which can be aggregated across several reviews. Scientists who have ORCID IDs can submit their reviews as they read the preprints (currently limited to the medRxiv, bioRxiv and arXiv repositories). The reviews are open and can be submitted anonymously.
Outbreaks of pathogens such as the SARS-CoV-2 coronavirus that is responsible for COVID-19 move fast and can affect anyone. Research to support outbreak response needs to be fast and open, too, as do mechanisms to review outbreak-related research. Help other scientists, as well as the media, journals and public-health officials, to find the most important COVID-19 preprints now….(More)”.
Frameworks for Collective Intelligence: A Systematic Literature Review
Paper by Shweta Suran, Vishwajeet Pattanaik, and Dirk Draheim: “Over the last few years, Collective Intelligence (CI) platforms have become a vital resource for learning, problem solving, decision-making, and predictions. This rising interest in the topic has to led to the development of several models and frameworks available in published literature.
Unfortunately, most of these models are built around domain-specific requirements, i.e., they are often based on the intuitions of their domain experts and developers. This has created a gap in our knowledge in the theoretical foundations of CI systems and models, in general. In this article, we attempt to fill this gap by conducting a systematic review of CI models and frameworks, identified from a collection of 9,418 scholarly articles published since 2000. Eventually, we contribute by aggregating the available knowledge from 12 CI models into one novel framework and present a generic model that describes CI systems irrespective of their domains. We add to the previously available CI models by providing a more granular view of how different components of CI systems interact. We evaluate the proposed model by examining it with respect to six popular, ongoing CI initiatives available on the Web….(More)”.