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Dr Kristin Stock originally trained as a surveyor, completing a Bachelor of Science at the University of Otago (New Zealand) in 1989. She then worked as a surveyor in a nickel mine in North Queensland and in a private surveying practice in Bundaberg, Queensland. During this time, she also completed a Graduate Diploma in Urban and Regional Planning, a Graduate Certificate in Computing, a Graduate Diploma in Surveying Practice and achieved Registration as a Surveyor in Queensland and later in the Australian Capital Territory.
In 1996, Kristin worked as a Senior Research Assistant developing methods that used mathematical adjustments for identifying cadastral boundaries in rural areas, and establishing accuracy requirements for such boundaries. She also began work on a PhD (completed in 2001), developing a method for representing the semantics of database schemas using first order logic, and applying those semantics to perform database integration and translation. This work included case studies using land administration information from a number of jurisdictions in Australia and New Zealand.
Kristin began work as a Systems Architect with the Australian Capital Territory Planning and Land Authority in 1998. She was the architect and technical lead of the new Spatial Data Management System, a system for the management of a wide range of cadastral, land administration, planning, surveying and feature names data. In December 2006, Kristin began work as a Senior Consultant with Social Change Online, working in the area of geospatial interoperability.
In February 2007, joined the Centre for Geospatial Science at the University of Nottingham as a Research Fellow and then Senior Research Fellow, and also started up her own consulancy, Allworlds Geothinking, providing consultancy in geographic information management, integration and interoperabiliy. Until 2014, she divided her time 50/50 between these two roles, and was involved in a number of large projects including editing the Protected Sites theme for the Europe-wide INSPIRE; developing data models for the EU funded MOTiiVE and Metafor projects (with the British Atmospheric Data Centre); leading research aspects of the JISC funded CoMPASS project and the natural language processing activity in the EU funded EUROGEOSS project.
Dr Stock joined Massey University in June 2014 and leads the Massey Geoinformatics Collaboratory. She collaborates with researchers globally and teaches in geoinformatics, user interface design and systems modelling and analysis at undergraduate and postgraduate level.
Dr Kristin Stock is a Senior Lecturer in Information Technology and Director of the Massey Geoinformatics Collaboratory. Her research interests focus around geoinformaics, semantics and natural language. Her particular areas of focus currently include:
Geospatial semantics, ontologies and extraction of geographic knowledge from natural language.
Resource Development and Management, Health and Well-being, Future Food Systems
Field of research codes
Artificial Intelligence and Image Processing (080100):
Conservation and Biodiversity (050202):
Earth Sciences (040000):
Environmental Science and Management (050200): Environmental Sciences (050000):
Geomatic Engineering (090900): Geospatial Information Systems (090903):
Information And Computing Sciences (080000):
Natural Hazards (040604):
Natural Language Processing (080107):
Physical Geography and Environmental Geoscience (040600)
semantics, ontologies, geoinformatics, natural language processing, environment
Project Title: SSIF: Social media / big data to solicit preferences and attitudes
Date Range: 2018 - 2019
Funding Body: Landcare Research New Zealand Ltd
Project Title: He Tatai Whenua: A Te Ao Maori landscape classification
Date Range: 2017 - 2021
Funding Body: Ministry of Business, Innovation and Employment
Project Title: Developing methods for contextually-aware interpretation of natural language spatial location descriptions - Niloofar Aflaki
Date Range: 2017 - 2020
Funding Body: Ordnance Survey Ltd
Main Supervisor of:
Main Supervisor of: