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Contemporary scientific and technological endeavours face public and political pressure to adopt open, transparent and democratically accountable practices of public engagement. Prior research has identified different ways that experts 'imagine publics' - as uninformed, as disengaged, as a risk to science, and as co-producers of knowledge - but there has yet to be a systematic exploration of how these views emerge, interact and evolve. This article introduces a typology of imagined publics to analyse how publics are constructed in the field of forest genomics. We find that deficit views of publics have not been replaced by co-production. Instead, deficit and co-productive approaches to publics co-exist and overlap, informing both how publics are characterized and how public perceptions are studied. We outline an agenda for deepening and expanding research on public perceptions of novel technologies. Specifically, we call for more diverse and complex methodological approaches that account for relational dynamics over time.
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In this article, we integrate our authorship experiences with insights from nine interviews of knowledge exchange practitioners at the Canadian Forest Service about challenges and opportunities of digital knowledge exchange (KE) brought on by the COVID-19 pandemic. We aim to inform how best to maintain effective KE practices and processes in a digital-first world. Interpersonal trust and relationships are pivotal to effective knowledge exchange; thus, removing these dimensions risks losing aspects of social learning, informal and meaningful discussions, and personal connections that affect how we interpret and respond to subtle affective and social cues. For KE practitioners, lack of in-person interactions risks internal KE coordination and relevance of KE work, and diminished ability to predict and respond to user needs. However, the accelerated digital adoption has increased reach and accessibility for diverse people to exchange knowledge, and enables more frequent and rapid response to issues and events by virtually gathering diverse people almost instantly. The acceleration in digital innovation and culture has thus resulted in new tools and diversified approaches for the KE toolbox to inform decisions and practices. The long-term sustainability and effectiveness of digital KE depend on two interconnected factors: addressing the persistence of the digital divide and people's abilities to make and maintain meaningful social connections in the absence of regular face-to-face contact. We thus offer three considerations to guide KE efforts and initiative in a digital-first world: (1) consider both digital divide and equity; (2) revisit user needs and preferences for KE to address the diversity of users, and (3) leverage the diversification of KE approaches and innovations.
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BACKGROUND: The Metabolic Theory of Ecology (MTE) predicts that gestation duration, lactation duration, and their sum, total development time, are constrained by mass-specific basal metabolic rate such that they should scale with body mass with an exponent of 0.25. However, tests of the MTE's predictions have yielded mixed results. In an effort to resolve this uncertainty, we used phylogenetically-controlled regression to investigate the allometries of gestation duration, lactation duration, and total development time in four well-studied mammalian orders, Artiodactyla, Carnivora, Primates, and Rodentia. RESULTS: The results we obtained are not consistent with the predictions of the MTE. Gestation duration scaling exponents are below 0.25 in all four orders. The scaling exponent for lactation duration is below 0.25 in Carnivora and Rodentia, indistinguishable from 0.25 in Artiodactyls, and steeper than 0.25 in Primates. Total development time scales with body mass as predicted by the MTE in Primates, but not in artiodactyls, carnivores, and rodents. In the latter three orders, the exponent is 0.15. CONCLUSIONS: Together, these results indicate that the influence of basal metabolic rate on mammalian maternal investment durations must be more complicated than the MTE envisages, and that other factors must play an important role. Future research needs to allow for the possibility that different factors drive gestation duration and lactation duration, and that the drivers of the two durations may differ among orders.
