Transforming public policy with engaged scholarship: better together


Blog by Alana Cattapan & Tobin LeBlanc Haley: “The expertise of people with lived experience is receiving increased attention within policy making arenas. Yet consultation processes have, for the most part, been led by public servants, with limited resources provided for supporting the community engagement vital to the inclusion of lived experience experts in policy making. What would policy decisions look like if the voices of the communities who live with the consequences of these decisions were prioritised not only in consultation processes, but in determining priorities and policy processes from the outset? This is one of the questions we explore in our recent article published in the special issue on Transformational Change in Public Policy.

As community-engaged policy researchers, along with Leah LevacLaura Pin, Ethel Tungohan and Sarah Marie Wiebe, our attention has been focused on how to engage meaningfully and work together with the communities impacted by our research, the very communities often systematically excluded from policy processes. Across our different research programmes, we work together with people experiencing precarious housing and homelessnessmigrant workersnorthern and Indigenous womenFirst Nations, and trans and gender diverse people. The lessons we have learned in our research with these communities are useful for our work and for these communities, as well as for policy makers and other actors wanting to engage meaningfully with community stakeholders.

Our new article, “Transforming Public Policy with Engaged Scholarship: Better Together,” describes these lessons, showing how engaged scholarship can inform the meaningful inclusion of people with lived expertise in public policy making. We draw on Marianne Beaulieu, Mylaine Breton and Astrid Brouselle’s work to focus on four principles of engaged scholarship. The principles we focus on include prioritising community needs, practicing reciprocity, recognising multiple ways of knowing, and crossing disciplinary and sectoral boundaries. Using five vignettes from our own research, we link these principles to our practice, highlighting how policy makers can do the same. In one vignette, co-author Sarah Marie Wiebe describes how her research with people in Aamjiwnaang in Canada was made possible through the sustained time and effort of relationship building and learning about the lived experiences of community members. As she explains in the article, this work included sensing the pollution in the surrounding atmosphere firsthand through participation in a “toxic tour” of the community’s location next to Canada’s Chemical Valley. In another vignette, co-author Ethel Tungohan details how migrant community leaders led a study looking at migrant workers’ housing precarity, enabling more responsive forms of engagement with municipal policy makers who tend to ignore migrant workers’ housing issues….(More)”.

Can Privacy Nudges be Tailored to Individuals’ Decision Making and Personality Traits?


Paper by Logan Warberg, Alessandro Acquisti and Douglas Sicker: “While the effectiveness of nudges in influencing user behavior has been documented within the literature, most prior work in the privacy field has focused on ‘one-size-fits-all’ interventions. Recent behavioral research has identified the potential of tailoring nudges to users by leveraging individual differences in decision making and personality. We present the results of three online experiments aimed at investigating whether nudges tailored to various psychometric scales can influence participants’ disclosure choices. Each study adopted a difference-in-differences design, testing whether differences in disclosure rates for participants presented with a nudge were affected by differences along various psychometric variables. Study 1 used a hypothetical disclosure scenario to measure participants’ responses to a single nudge. Study 2 and its replication (Study 3) tested responses in real disclosure scenarios to two nudges. Across all studies, we failed to find significant effects robustly linking any of the measured psychometric variables to differences in disclosure rates. We describe our study design and results along with a discussion of the practicality of using decision making and personality traits to tailor privacy nudges…(More)”.

(Re)making data markets: an exploration of the regulatory challenges


Paper by Linnet Taylor, Hellen Mukiri-Smith, Tjaša Petročnik, Laura Savolainen & Aaron Martin: “Regulating the data market will be one of the major challenges of the twenty-first century. In order to think about regulating this market, however, we first need to make its dimensions and dynamics more accessible to observation and analysis. In this paper we explore what the state of the sociological and legal research on markets can tell us about the market for data: what kind of market it is, the practices and configurations of actors that constitute it, and what kinds of data are traded there. We start from the subjective opacity of this market to researchers interested in regulation and governance, review conflicting positions on its extent, diversity and regulability, and then explore comparisons from food and medicine regulation to understand the possible normative and practical implications and aims inherent in attempting to regulate how data is shared and traded. We conclude that there is a strong argument for a normative shift in the aims of regulation with regard to the data market, away from a prioritisation of the economic value of data and toward a more nuanced approach that aims to align the uses of data with the needs and rights of the communities reflected in it…(More)”

Premium Based on ‘Like, Share and Post’: Use of Social Media Data in Life Insurance and Proxy Discrimination


Paper by Salome Chapeyama Mdala: “Social media has become a massive resource of data such that data analytics firms can use social media platforms alone to extract valuable data for insurers. For example, Verisk Analytics and its subsidiary Insurance Services Offices (ISO), have long offered actuarial services to insurers and now offer social media analytics as part of their services. According to one of Verisk’s actuaries Jim Weiss, “insurers might want to consider how they can use data from social media to tailor offerings to prospective policyholders’ ‘likes’ and preferences.” Social media is a useful database for life insurers because the business of insurance is focused on classifying risks and tailoring premiums to suit the predicted risk. Social Media provides easily accessible data which may be beneficial for the insurance company in underwriting risks. For instance, life insurers can categorise individuals’ risks based on their diet, exercise routine, adventures, hobbies and so forth. Consumers do not have to go through an inconvenient question-and-answer session with their insurers because knowledge about them is readily accessible. However, the risk of unfair discrimination is a significant disadvantage of using social media data for underwriting purposes. Regulatory bodies are starting to provide guidelines about how insurers can use data mining to underwrite policies. The discussion is divided in three parts: the use of social media data in underwriting, proxy discrimination in life insurance and guiding principles in the use of external data sources in underwriting…(More)”

The fear of technology-driven unemployment and its empirical base


Article by Kerstin Hötte, Melline Somers and Angelos Theodorakopoulos:”New technologies may replace human labour, but can simultaneously create jobs if workers are needed to use these technologies or if new economic activities emerge. At the same time, technology-driven productivity growth may increase disposable income, stimulating a demand-induced employment expansion. Based on a systematic review of the empirical literature on technological change and its impact on employment published in the past four decades, this column suggests that the empirical support for the labour-creating effects of technological change dominates that for labour-replacement…(More)”.

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).