Kristin Stock

Massey University, School of Engineering and Advanced Technology, Faculty Member

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Dr Kristin Stock is a Senior Lecturer at Massey University, Albany, New Zealand. She was previously a Senior Research Fellow in geospatial semantics at the Centre for Geospatial Science, University of Nottingham, ran her own consultancy (Allworlds Geothinking), and worked for the government in Australia.

Kristin's research interests centre around geospatial semantics, including the extraction of geospatial knowledge from natural language sources; non-classical ontologies; semantically-informed spatio-temporal analysis and semantic spatial data infrastructures.

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The University of Texas at Austin

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Instituto Politécnico de Viana do Castelo

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Università del Molise

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Comenius University in Bratislava

David Seamon

Kansas State University

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Massachusetts Institute of Technology (MIT)

Adam M Croom

Case Western Reserve University

Noe Cornago

University of the Basque Country, Euskal Herriko Unibertsitatea

Martin Haspelmath

Max Planck Institute for Evolutionary Anthropology

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AI-based discovery of habitats from museum collections

Trends in ecology & evolution, Feb 1, 2024

An ongoing project for conceptualising a community-engaged network of low-cost sensors for earthquake early warning in Aotearoa New Zealand

Earthquake-prone countries are exploring earthquake early warning (EEW) systems as a risk mitigat... more Earthquake-prone countries are exploring earthquake early warning (EEW) systems as a risk mitigation measure. However, establishing a comprehensive EEW system would require a substantial financial investment, and for many countries, such systems are not economically viable. For Aotearoa New Zealand, with a population of just under five million people, appropriating significant financial investments towards development of an EEW system cost-effectively is likely to be challenging. This research project, launched in February 2020, explores the feasibility of a socio-technical EEW solution for Aotearoa New Zealand. An EEW system may be viable through interconnecting low-cost sensors and recorders through existing communication infrastructures. The project explores the possibility of utilising emerging internet-of-things (IoT) technologies such as micro-electromechanical systems (MEMS) embedded sensors. The sensors may have lower sensitivity and coarse recording systems. Hence, to operationalise this approach it may require a denser network of sensors to achieve an acceptable level of reliability and also rely on the participation and acceptance of engaged citizens. The project seeks to answer the research question: Is it feasible to form an EEW system through a community-engaged network of low-cost sensors? The project is conducting two initial concurrent phases to explore the social and technical challenges and opportunities: • Phase-1: Community-of-practice development and engagement with various communities to scope the challenges and opportunities of establishing an EEW system. • Phase-2: Explore and examine the opportunities, capabilities, challenges and limitations of developing an earthquake early warning system and applications driven by a network of off-the-shelf MEMS devices and IoT infrastructure. This poster shows the project’s progress-to-date on these two phases. The poster also outlines planned activities and expected outputs

Disaster Apps: Usability Factors Affecting Continued Intention to Use

The analysis follows the standard two-stage process of structural equational modelling (Hair et a... more The analysis follows the standard two-stage process of structural equational modelling (Hair et al., 2014). First, we conducted a measurement model assessment through factor analysis. Second, we conducted structural model assessment; evaluating the causal relationships of the usability factors to the dependent variable continued intention to use.

Kristin Stock

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