Toward a Demand-Driven, Collaborative Data Agenda for Adolescent Mental Health


Paper by Stefaan Verhulst et al: “Existing datasets and research in the field of adolescent mental health do not always meet the needs of practitioners, policymakers, and program implementers, particularly in the context of vulnerable populations. Here, we introduce a collaborative, demand-driven methodology for the development of a strategic adolescent mental health research agenda. Ultimately, this agenda aims to guide future data sharing and collection efforts that meet the most pressing data needs of key stakeholders…

We conducted a rapid literature search to summarize common themes in adolescent mental health research into a “topic map”. We then hosted two virtual workshops with a range of international experts to discuss the topic map and identify shared priorities for future collaboration and research…

Our topic map identifies 10 major themes in adolescent mental health, organized into system-level, community-level, and individual-level categories. The engagement of cross-sectoral experts resulted in the validation of the mapping exercise, critical insights for refining the topic map, and a collaborative list of priorities for future research…

This innovative agile methodology enables a focused deliberation with diverse stakeholders and can serve as the starting point for data generation and collaboration practices, both in the field of adolescent mental health and other topics…(More)”.

Forest data governance as a reflection of forest governance: Institutional change and endurance in Finland and Canada


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)”.

Who Should Represent Future Generations in Climate Planning?


Paper by Morten Fibieger Byskov and Keith Hyams: “Extreme impacts from climate change are already being felt around the world. The policy choices that we make now will affect not only how high global temperatures rise but also how well-equipped future economies and infrastructures are to cope with these changes. The interests of future generations must therefore be central to climate policy and practice. This raises the questions: Who should represent the interests of future generations with respect to climate change? And according to which criteria should we judge whether a particular candidate would make an appropriate representative for future generations? In this essay, we argue that potential representatives of future generations should satisfy what we call a “hypothetical acceptance criterion,” which requires that the representative could reasonably be expected to be accepted by future generations. This overarching criterion in turn gives rise to two derivative criteria. These are, first, the representative’s epistemic and experiential similarity to future generations, and second, his or her motivation to act on behalf of future generations. We conclude that communities already adversely affected by climate change best satisfy these criteria and are therefore able to command the hypothetical acceptance of future generations…(More)”.

AI ethics: the case for including animals


Paper by Peter Singer & Yip Fai Tse: “The ethics of artificial intelligence, or AI ethics, is a rapidly growing field, and rightly so. While the range of issues and groups of stakeholders concerned by the field of AI ethics is expanding, with speculation about whether it extends even to the machines themselves, there is a group of sentient beings who are also affected by AI, but are rarely mentioned within the field of AI ethics—the nonhuman animals. This paper seeks to explore the kinds of impact AI has on nonhuman animals, the severity of these impacts, and their moral implications. We hope that this paper will facilitate the development of a new field of philosophical and technical research regarding the impacts of AI on animals, namely, the ethics of AI as it affects nonhuman animals…(More)”.

Sustaining Open Data as a Digital Common — Design principles for Common Pool Resources applied to Open Data Ecosystems


Paper by Johan Linåker, and Per Runeson: “Digital commons is an emerging phenomenon and of increasing importance, as we enter a digital society. Open data is one example that makes up a pivotal input and foundation for many of today’s digital services and applications. Ensuring sustainable provisioning and maintenance of the data, therefore, becomes even more important.

We aim to investigate how such provisioning and maintenance can be collaboratively performed in the community surrounding a common. Specifically, we look at Open Data Ecosystems (ODEs), a type of community of actors, openly sharing and evolving data on a technological platform.

We use Elinor Ostrom’s design principles for Common Pool Resources as a lens to systematically analyze the governance of earlier reported cases of ODEs using a theory-oriented software engineering framework.

We find that, while natural commons must regulate consumption, digital commons such as open data maintained by an ODE must stimulate both use and data provisioning. Governance needs to enable such stimulus while also ensuring that the collective action can still be coordinated and managed within the frame of available maintenance resources of a community. Subtractability is, in this sense, a concern regarding the resources required to maintain the quality and value of the data, rather than the availability of data. Further, we derive empirically-based recommended practices for ODEs based on the design principles by Ostrom for how to design a governance structure in a way that enables a sustainable and collaborative provisioning and maintenance of the data.

ODEs are expected to play a role in data provisioning which democratize the digital society and enables innovation from smaller commercial actors. Our empirically based guidelines intend to support this development…(More).

Does public opinion shape public policy? Effect of citizen dissent on legislative outcomes


Paper by Nara Park and Jihyun Ham: “In South Korea, the Advance Notice Legislation (ANL) system requires by law that a public announcement be issued on any proposed bill that is likely to affect the fundamental rights, duties, and/or daily life of the general public. By investigating the effects of public dissent submitted via the online ANL system in South Korea, this study attempts to address the critical issue of how to increase citizen participation in the political process and to offer a possible strategy that modern democratic governments can employ in this regard. The findings suggest that citizens will actively participate in the political process to make their voices heard when an appropriate participatory mechanism is available, but they will be more active if the administration encourages citizen participation with various policies and institutions. In other words, formal and informal institutions actively interact to affect the behavior of actors both within and outside the political arena…(More)”.

The end of participatory destination governance as we thought to know it


Paper by Eva C. Erdmenger: “In response to rising anti-tourism movements, the role of residents in destination governance has experienced a revival in tourism research. Participatory destination governance approaches have been advocated as problem-solvers for increasing conflicts, yet their implementation is still lacking. Besides a considerable amount of positivist research drafting the best participatory governance model, the socially constructed perspective of those who are supposed to participate has been widely neglected until now. Therefore, the purpose of this study is to reveal residents’ views on participating in tourism activities and destination governance processes. In pursuit of this, a mixed qualitative research method of focus groups and photo elicitation has been deployed in Copenhagen and Munich in 2020 following a social constructionist epistemology. The findings confirm that residents are not willing to participate in destination governance per se due to a lack of time, access, awareness, prioritization, knowledge, qualification, and opportunities. At the same time, residents were interested in a socio-cultural exchange with like-minded tourists and are generally proud to share their city. Ultimately, the perspectives of residents on tourism should be considered for the implementation of an inclusive urban destination governance. Via psychological, political, and social empowerment, destination governance should foster residents’ (1) motivation to connect with other city users (including tourists); (2) opportunity to influence local tourism development if they are affected by it; and (3) ability to benefit from local tourism (at least indirectly). Ultimately, by understanding how and to what extent residents’ are actually willing to participate in tourism and its governance enables tourism professionals to proactively realize a more resilient destination development while mitigating potential social conflicts caused by the renaissance of (over)tourism…(More)”.

Governing the ‘Datafied’ School: Bridging the Divergence between Universal Education and Student Autonomy


Paper by Theresa Henne and Oskar Josef Gstrein: “Students and teachers find themselves increasingly surrounded by Big Data and AI technologies that facilitate the learning process and the organisation of school life. Accordingly, vast amounts of data are being collected on the working of the entire school community. This trend–referred to as the ‘datafication’ of education–was pushed immensely during the COVID-19 pandemic. However, already before the necessity to quickly find digital solutions for remote teaching and learning, many scholars were concerned about the privacy and autonomy of the ‘datafied’ student and the corresponding larger effects on public education and democracy as such. In this chapter, we approach the datafication of school education through the lens of data protection and autonomy. We point to the inadequacies in the European data protection framework, which is considered as the state of the art by many. In search of other capable legal concepts, we explore the German ‘right to informational self-determination’, which introduces the distinct argument that restricting data flows is a necessity for the free personal development of the individual–a notion relevant for the tumbling, ever evolving minds of children and teenagers. We find that the fuzzy realities of school life demand a nuanced governance approach that balances individual control and privacy protection with the interests, needs and visions of the school community…(More)”.

The Effectiveness of Digital Interventions on COVID-19 Attitudes and Beliefs


Paper by Susan Athey, Kristen Grabarz, Michael Luca & Nils C. Wernerfelt: “During the course of the COVID-19 pandemic, a common strategy for public health organizations around the world has been to launch interventions via advertising campaigns on social media. Despite this ubiquity, little has been known about their average effectiveness. We conduct a large-scale program evaluation of campaigns from 174 public health organizations on Facebook and Instagram that collectively reached 2.1 billion individuals and cost around $40 million. We report the results of 819 randomized experiments that measured the impact of these campaigns across standardized, survey-based outcomes. We find on average these campaigns are effective at influencing self-reported beliefs, shifting opinions close to 1% at baseline with a cost per influenced person of about $3.41. There is further evidence that campaigns are especially effective at influencing users’ knowledge of how to get vaccines. Our results represent, to the best of our knowledge, the largest set of online public health interventions analyzed to date…(More)”

Measuring sustainable tourism with online platform data


Paper by Felix J. Hoffmann, Fabian Braesemann & Timm Teubner: “Sustainability in tourism is a topic of global relevance, finding multiple mentions in the United Nations Sustainable Development Goals. The complex task of balancing tourism’s economic, environmental, and social effects requires detailed and up-to-date data. This paper investigates whether online platform data can be employed as an alternative data source in sustainable tourism statistics. Using a web-scraped dataset from a large online tourism platform, a sustainability label for accommodations can be predicted reasonably well with machine learning techniques. The algorithmic prediction of accommodations’ sustainability using online data can provide a cost-effective and accurate measure that allows to track developments of tourism sustainability across the globe with high spatial and temporal granularity…(More)”.