Abstract The importance of interdisciplinary approaches for research and education in environmental studies and sciences is well known. Integration of the multiple disciplinary approaches taught in separate courses required within these undergraduate majors and minors, however, remains a challenge. Program faculty often come from different departments and do not have time or space to integrate their own approaches with each other, resulting in individual ways of understanding interdisciplinarity. Secondly, senior capstone, thesis, or other project-based degree requirements often come too late in an undergraduate education to design an integrative project. Students would benefit from prior training in identifying complementary or divergent approaches and insights among academic specializations—a skill built from raising interdisciplinary consciousness. We present a workshop designed to enhance undergraduates’ interdisciplinary consciousness that can be easily deployed within courses or co-curricular programs, specifically summer research programs that are focused on dedicated practice within a field of study. The central question of this project is: How do we facilitate interdisciplinary consciousness and assess its impact on our students? We propose a promising, dialogue-based intervention that can be easily replicated. This dialogue would benefit academic programs like environmental studies and sciences that require the interaction and integration of discipline-based norms. We found that our dialogue intervention opens students’ perspectives on the nature of research, who research is for, epistemological differences, and the importance of practicing the research process, a unique educational experience. These perspectives are crucial to becoming collaborative, twenty-first century professionals.
more »
« less
Mapping the landscape of water and society research: Promising combinations of compatible and complementary disciplines
Abstract Coupled human‐water systems (CHWS) are diverse and have been studied across a wide variety of disciplines. Integrating multiple disciplinary perspectives on CHWS provides a comprehensive and actionable understanding of these complex systems. While interdisciplinary integration has often remained elusive, specific combinations of disciplines might be comparably easier to integrate (compatible), and/or their combination might be particularly likely to uncover previously unobtainable insights (complementary). This paper systematically identifies such promising combinations by mapping disciplines along a common set of topical, philosophical, and methodological dimensions. It also identifies key challenges and lessons for multidisciplinary research teams seeking to integrate highly promising (complementary) but poorly compatible disciplines. Applied to eight disciplines that span the environmental physical sciences and the quantitative and qualitative social sciences, we found that promising combinations of disciplines identified by the typology broadly reproduce patterns of recent interdisciplinary collaborative research revealed by a bibliometric analysis. We also found that some disciplines are centrally located within the typology by being compatible and complementary to multiple other disciplines along distinct dimensions. This points to the potential for these disciplines to act as catalysts for wider interdisciplinary integration. This article is categorized under:Engineering Water > MethodsHuman Water > MethodsScience of Water > Methods
more »
« less
- Award ID(s):
- 2142967
- PAR ID:
- 10501381
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- WIREs Water
- Volume:
- 11
- Issue:
- 2
- ISSN:
- 2049-1948
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Advances in hydraulic fracturing (aka “fracking”) technologies and horizontal drilling have enabled the extraction of previously unviable unconventional oil and gas resources. However, as global environmental concerns have become more prominent and unconventional oil and gas developments have moved ever closer to residential centers, public scrutiny of the industry and its methods and impacts of extraction have increased. Water impacts feature prominently among the contemporary societal concerns about fracking. These concerns include the large water requirements of the process itself, as well as concerns about the potential pollution of groundwater and the (underground) environment more broadly. Anthropologists have undertaken qualitative field research on unconventional gas developments in a variety of settings, largely among local communities in regions of extraction. The perspectives employed by anthropologists are commonly drawn from the broader social science literature, including the anthropology of water and natural resources, science and technology studies, studies of social movements, and studies which examine the energy‐society nexus. Based on the shortcomings of the published anthropological accounts, interdisciplinary research collaboration with hydrologists, engineers and economists, as well as a more fulsome engagement with the variety of hopes, fears and dreams of fracking and unconventional gas, is recommended.WIREs Water2018, 5:e1272. doi: 10.1002/wat2.1272 This article is categorized under:Engineering Water > Sustainable Engineering of WaterScience of Water > Water QualityHuman Water > Methodsmore » « less
-
Abstract Invasive forest insects can induce tree mortality in two ways: (a) by directly harming trees; or (b) by influencing forest owners to pre‐emptively harvest threatened trees. This study investigates forest owners’ intentions to harvest trees threatened by invasive insects.Our first objective is to identify and characterize agent functional types (AFTs) of family forest owners in the northeastern United States using a set of contingent behaviour questions contained in a mail survey. We establish AFTs as a form of dimension reduction, effectively casting landowners into a typology in which each type (AFT) has distinct probabilities of tree harvesting in response to forest insects. Our analysis identifies three functional types of landowners: ‘Cutters’ (46% of respondents; high intent to harvest trees impacted by invasive forest insects), ‘Responsive Cutters’ (42% of respondents; intent sensitive to insect impact severity), and ‘Non‐cutters’ (12% of respondents; low intent to cut).Our second objective is to model AFT membership to predict the distribution of AFTs across the landscape. Predictors are chosen from a set of survey, geographic and demographic features. Our best AFT‐prediction model has three predictor variables: parcel size (hectares of forest), geographical region, and town‐level forested fraction. Application of the model provides a high‐resolution probability distribution of AFTs across the landscape.By coupling human and insect behaviour, our results allow for holistic assessments of how invasive forest insects disturb forests, inclusive of the management response to these pests. A freePlain Language Summarycan be found within the Supporting Information of this article.more » « less
-
Abstract A fundamental problem in functional data analysis is to classify a functional observation based on training data. The application of functional data classification has gained immense popularity and utility across a wide array of disciplines, encompassing biology, engineering, environmental science, medical science, neurology, social science, and beyond. The phenomenal growth of the application of functional data classification indicates the urgent need for a systematic approach to develop efficient classification methods and scalable algorithmic implementations. Therefore, we here conduct a comprehensive review of classification methods for functional data. The review aims to bridge the gap between the functional data analysis community and the machine learning community, and to intrigue new principles for functional data classification. This article is categorized under:Statistical Learning and Exploratory Methods of the Data Sciences > Clustering and ClassificationStatistical Models > Classification ModelsData: Types and Structure > Time Series, Stochastic Processes, and Functional Datamore » « less
-
Abstract As a key ingredient of batteries for electric vehicles (EVs), lithium plays a significant role in climate change mitigation, but lithium has considerable impacts on water and society across its life cycle. Upstream extraction methods—including open‐pit mining, brine evaporation, and novel direct lithium extraction (DLE)—and downstream processes present different impacts on both the quantity and quality of water resources, leading to water depletion and contamination. Regarding upstream extraction, it is critical for a comprehensive assessment of lithium's life cycle to include cumulative impacts related not only to freshwater, but also mineralized or saline groundwater, also known as brine. Legal frameworks have obscured social and ecological impacts by treating brine as a mineral rather than water in regulation of lithium extraction through brine evaporation. Analysis of cumulative impacts across the lifespan of lithium reveals not only water impacts in conventional open‐pit mining and brine evaporation, but also significant freshwater needs for DLE technologies, as well as burdens on fenceline communities related to wastewater in processing, chemical contaminants in battery manufacturing, water use for cooling in energy storage, and water quality hazards in recycling. Water analysis in lithium life cycle assessments (LCAs) tends to exclude brine and lack hydrosocial context on the environmental justice implications of water use by life cycle stage. New research directions might benefit from taking a more community‐engaged and cradle‐to‐cradle approach to lithium LCAs, including regionalized impact analysis of freshwater use in DLE, as well as wastewater pollution, cooling water, and recycling hazards from downstream processes. This article is categorized under:Human Water > Human WaterHuman Water > Water GovernanceHuman Water > Water as Imagined and RepresentedScience of Water > Water and Environmental Changemore » « less