Transdisciplinary Convergence: Intelligent Infrastructure for Sustainable Development

Shen, Yi

doi:10.1162/dint_a_00063

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…Mechanisms for ensuring this communication takes place include ranking exercises and the production of scope notes (Levin and Svenningsen 2019;Shen 2021). In ranking exercises, representatives of each domain involved in a project rank the relevance of each data type presented for their work on an agreed scale, allowing a cross-domain ranking of priorities to be created.…”

Section: Identifying Shared or Compatible Priorities At The Project P...mentioning

confidence: 99%

Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management. Impasses and opportunities for collaboration in agricultural areas

Opitz¹,

Baldwin²,

Smedt³

et al. 2023

Internet Archaeol.

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Remote and near surface sensing data are widely used in archaeology and heritage management for feature discovery, change detection and monitoring, as an input to predictive modelling, and in the planning process. While global and regional datasets are widely used for some purposes, data are regularly acquired specifically for archaeological projects because of the very high spatial resolution required for feature detection and assessments of archaeological significance and the need for data on subsurface features. The sensing data collected for archaeology cover limited areas and only a few types of sensors, known to produce data efficiently, are regularly employed. Precision agriculture is beginning to produce large quantities of varied sensing data across extensive landscape areas. This situation creates an opportunity to adapt and reuse precision agricultural data for archaeology and heritage work, extending covering and enhancing our understanding of archaeology in contemporary agricultural landscapes. Equally, there is potential for coordinated data collection, collecting data once for multiple applications, and to add value through analyses which bring together perspectives from multiple related domains to model long-term processes in anthropogenic soil systems. This article provides a high-level overview of policy and technological developments which create the potential for sensing data reuse, coordinated data collection, and collaborative analyses across archaeological, agricultural, and agri-environmental applications while underscoring the structural barriers which, at present, constrain this potential. It highlights examples where the development of interoperable data and workflows can promote tighter integration of archaeology and cultural heritage management with sustainable agricultural land management and support integrated decision making.

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Section: Identifying Shared or Compatible Priorities At The Project P...mentioning

confidence: 99%

Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management. Impasses and opportunities for collaboration in agricultural areas

Opitz¹,

Baldwin²,

Smedt³

et al. 2023

Internet Archaeol.

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“…The structural barriers created by differences in the character of datasets, metadata designed for in-discipline use, and unconnected semantic frameworks are particularly difficult to break down because both intellectual and technical work is required. While the need for tools and methods that support cross-disciplinary data, metadata and semantic integration has been highlighted repeatedly, we lack concrete suggestions for how to design them (Thompson et al 2017;Levin and Svenningsen 2019;Horcea-Milcu et al 2020;Shen 2021). Crumley et al (2018, 283), discussing the challenges of interdisciplinarity in the context of human-environment interactions research, explain the importance of developing supporting systems for the multi-faceted work of addressing humanenvironment interactions.…”

Section: Socio-technical Challenge: Communicating How Data and Interpretations Connectmentioning

confidence: 99%

A Lockpick's Guide to dataARC: Designing Infrastructures and Building Communities to Enable Transdisciplinary Research

Opitz¹,

Strawhacker²,

Buckland³

et al. 2021

Internet Archaeol.

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The North Atlantic Biocultural Organization (NABO) community initiated dataARC to develop digital research infrastructures to support their work on long-term human-ecodynamics in the North Atlantic. These infrastructures were designed to address the challenges of sharing research data, the connections between those data and high-level interpretations, and the interpretations themselves. In parallel, they were also designed to support the reuse of diverse data that underpin transdisciplinary synthesis research and to contextualise materials disseminated widely to the public more firmly in their evidence base. This article outlines the research infrastructure produced by the project and reflects on its design and development. We outline the core motivations for dataARC's work and introduce the tools, platforms and (meta)data products developed. We then undertake a critical review of the project's workflow. This review focuses on our understanding of the needs of stakeholder groups, the principles that guided the design of the infrastructure, and the extent to which these principles are successfully promoted in the current implementation. Drawing on this assessment, we consider how the infrastructure, in whole or in part, might be reused by other transdisciplinary research communities. Finally, we highlight key socio-technical gaps that may emerge as structural barriers to transdisciplinary, engaged, and open research if left unaddressed.

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“…The general problems posed by data silos are widely recognised, as are the potential benefits of coordinated data collection and interoperability [18,21]. The domain of land management is no exception, and the push to make land management more sustainable has motivated projects to bring together agricultural and environmental data, including sensing data [21][22][23][24]. This closer connection is an important step toward integrated sustainable land management.…”

Section: Introduction 1research Aims and Questionsmentioning

confidence: 99%

Practicing Critical Zone Observation in Agricultural Landscapes: Communities, Technology, Environment and Archaeology

Opitz

Smedt

Mayoral-Herrera

et al. 2023

Land

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The aims of agricultural land management change continuously, reflecting shifts in wider societal priorities. Currently, these include addressing the climate crisis, promoting environmental sustainability, and supporting the livelihoods of rural communities while ensuring food security. Working toward these aims requires information on the character of agricultural land and how dynamic processes influence it. Remote and near-surface sensing data are important sources of information on the characteristics of soils, plants, water, topography, and related processes. Sensing data are collected, analysed, and used in decision-making by specialists in multiple domains connected to land management. While progress has been made to connect the use of sensing data across agricultural and environmental applications under the umbrella of integrated sustainable land management, archaeological and heritage uses of these data remain largely disconnected. This creates barriers to accounting for the impacts of past human activities on contemporary agricultural landscapes through the alteration of soils, topography, and plant communities. In parallel, it hinders the creation of knowledge about the archaeological features which form an essential part of the heritage of agricultural landscapes. The ipaast-czo project explores the potential of a coordinated approach across all these domains, which would reduce these barriers and provide benefits by better integrating information generated using sensing. To do so, both conceptual and practical barriers to developing shared practices and how these might be overcome were considered. In this study, a conceptual framework designed to create a shared understanding of how agricultural landscapes work and enable collaboration around their management was proposed. This framework treats present-day rural agricultural landscapes as Critical Zones: complex entities shaped by long-term human–environment interactions including contemporary farming. Practitioners in precision agriculture and archaeological remote and near-surface sensing, as well as users of these data, were engaged using workshops and interviews. The relationships between practitioners’ objectives, data requirements for their applications, and their perceptions of the benefits and disadvantages of changing working practices were interrogated. The conceptual framework and assessment of practical benefits and challenges emerging from this work provide a foundation for leveraging shared sensing data and methods for long-term integrated sustainable land management.

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Transdisciplinary Convergence: Intelligent Infrastructure for Sustainable Development

Cited by 3 publications

References 8 publications

Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management. Impasses and opportunities for collaboration in agricultural areas

Remote Sensing Data to Support Integrated Decision Making in Cultural and Natural Heritage Management. Impasses and opportunities for collaboration in agricultural areas

A Lockpick's Guide to dataARC: Designing Infrastructures and Building Communities to Enable Transdisciplinary Research

Practicing Critical Zone Observation in Agricultural Landscapes: Communities, Technology, Environment and Archaeology

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