Environments are increasingly becoming technologized sites of data production. From smart cities to smart forests, digital networks are analyzing and joining up environmental processes. This commentary focuses on one such understudied smart environment, smart forests, as emerging digital infrastructures that are materializing to manage and mitigate environmental change. How does the digitalization of forests not only change understandings of these environments but also generate different practices and ontologies for addressing environmental change? I first analyze smart forests within the expanding area (...) of smart environments, and then discuss five digital practices that characterize smart forests. Based on this analysis, I suggest that forests are not only becoming highly digital environments but also that forests are transforming into technologies for managing environmental change. Smart forest interventions therefore expand the scope of what could count as a technology, especially in the context of data-oriented planetary governance. (shrink)

The nature of farming is – still – an essentially biological, and thus volatile, system, which poses substantial challenges to its integration into financialized capitalism. Financial investors often seek stability and predictability of returns that are hardly compatible with agriculture – but which are increasingly seen as achievable through data and digital farming technologies. This paper investigates how farmland investment brokers engage with, perceive, and produce farming data for their investors within a co-constructive process. Tackling land’s ‘stubborn materiality’ for investment, (...) I argue, has material and immaterial components: it includes the re-imagination of farming as a financial asset that delivers reliable income streams for investors; and the re-engineering of farmland’s concrete materialities with digital farming technologies. Farmland investment brokers develop investor-suitable farmland imaginaries, underpinned by storytelling as well as the calculative ‘evidence’ of (digital) data. At the same time, digital technologies have become a key tool for transforming farms into ‘investment grade assets’ endowed with the rich data on farm performance and financial returns requested by investors. I conclude that the assetization and digitization of farmland need to be seen as closely intertwined and mutually reinforcing processes and identify key areas for future research on this intersection. (shrink)

Under the banner of “data for good,” companies in the technology, finance, and retail sectors supply their proprietary datasets to development agencies, NGOs, and intergovernmental organizations to help solve an array of social problems. We focus on the activities and implications of the Data for Climate Action campaign, a set of public–private collaborations that wield user data to design innovative responses to the global climate crisis. Drawing on in-depth interviews, first-hand observations at “data for good” events, intergovernmental and international organizational (...) reports, and media publicity, we evaluate the logic driving Data for Climate Action initiatives, examining the implications of applying commercial datasets and expertise to environmental problems. Despite the increasing adoption of Data for Climate Action paradigms in government and public sector efforts to address climate change, we argue Data for Climate Action is better seen as a strategy to legitimate extractive, profit-oriented data practices by companies than a means to achieve global goals for environmental sustainability. (shrink)