Juan is a transdisciplinary systems modeller working at the interface of natural resource management and computational social science. He combines numerical modelling, systems thinking and complexity science to better understand the dynamic interactions between people, water, infrastructure, and the environment. Juan is pioneering the use of interactive agent-based policy simulators to engage stakeholders in the exploration of future trajectories and improve policy decisions in groundwater- and other environmental-related dilemmas. His research has earned several keynote presentations, best early-career oral presentation award at the Australasian Groundwater Conference in 2015, the inaugural 2017 CSIRO Land & Water early-career award, and the cover of Nature Human Behaviour. His work on the Groundwater Commons Game was also recently featured and presented at the Research Institute of Humanity and Nature in Kyoto, Japan. His scientic and leadership skills have been recognised internationally, as a recipient of an AusAid Australian Leadership Award in 2010. Prior to pursuing a research career, Juan worked for six years in the Atacama Desert for the Chilean Water Authority, water utilities and also as consultant, dealing with complex groundwater issues in one of driest regions in the world.
Can supervise: YES
Castilla-Rho, JC, Rojas, R, Andersen, MS, Holley, C & Mariethoz, G 2019, 'Sustainable groundwater management: How long and what will it take?', Global Environmental Change, vol. 58.View/Download from: UTS OPUS or Publisher's site
© 2019 Elsevier Ltd Groundwater depletion is arguably one of humanity's greatest sustainability challenges of the 21st century. With Sustainable Development Goals only a decade away, water authorities around the world are in the urgent need for concrete and targeted measures to ensure that communities adhere to groundwater management policies as rapidly and as effectively as possible. In this paper, we combine computational social science, groundwater modelling and empirical data from the World Values Survey to generate future ensembles of hydro-social trajectories under alternative courses of management and social action or inaction. Our simulations shed new light on the role that cultural values can play in shaping the societal trajectories and norms that emerge when resources are either allocated or not sufficiently allocated to monitor compliance, issue fines, engage community leaders, and deter rule-breakers. This study presents a new approach to explore and evaluate the capacity of existing and future management actions to steer groundwater systems towards sustainable trajectories, to forecast the celerity and timing of social transformations at the inter-decadal scale, and to help nations identify the most pertinent management options under institutional, political, social, and/or cultural constraints. The methods presented here are broadly applicable to support strategic decisions that rely on the monitoring, enforcement, and compliance of environmental regulations.
Castilla-Rho, JC, Rojas, R, Andersen, MS, Holley, C & Mariethoz, G 2017, 'Social tipping points in global groundwater management', NATURE HUMAN BEHAVIOUR, vol. 1, no. 9, pp. 640-649.View/Download from: Publisher's site
Castilla-Rho, JC, Mariethoz, G, Rojas, R, Andersen, MS & Kelly, BFJ 2015, 'An agent-based platform for simulating complex human-aquifer interactions in managed groundwater systems', ENVIRONMENTAL MODELLING & SOFTWARE, vol. 73, pp. 305-323.View/Download from: Publisher's site
Voinov, A, Castilla Rho, J, Perez, P & Kenny, D 2020, 'Integrated Ecological Economic Modeling: What is it good for?' in Creating Wellbeing Futures: A Research and Action Agenda for Ecological Economics.
Castilla Rho, J, Holley, C & Castilla, JC 2019, 'Groundwater as a Common Pool Resource: Modelling, Management and the Complicity Ethic in a Non-Collective World' in Global Changes Ethics, Politics and Environment in the Contemporary Technological World, Springer.
This book offers an authoritative analysis of the challenges that have arisen as a result of modern technologies.
Ogie, RI, Castilla Rho, J & Clarke, RJ 2018, 'Artificial Intelligence in Disaster Risk Communication: A Systematic Literature Review', https://ieeexplore.ieee.org/xpl/conhome/8634895/proceeding, 2018 5th International Conference on Information and Communication Technologies for Disaster Management, IEEE, Sendai, Japan.
Effective communication of disaster risks is crucial to provoking appropriate responses from citizens and emergency operators. With recent advancement in Artificial Intelligence (AI), several researchers have begun exploring machine learning techniques in improving disaster risk communication. This paper adopts a systematic literature approach to report on the various research activities involving the application of AI in disaster risk communication. The study found that research activities focus on two broad areas: (1) prediction and monitoring for early warning, and (2) information extraction and classification for situational awareness. These broad areas are discussed, including background information to help establish future applications of AI in disaster risk communication. The paper concludes with recommendations of several ways in which AI applications can have a broader role in disaster risk communication.
Dupen, P, Castilla Rho, J & Voinov, A 2019, 'Model-enabled community engagement in a mining approval process', 23rd International Congress on Modelling and Simulation, Canberra.
Anjum, M, Voinov, A, Castilla Rho, J & Pileggi, SF 2019, 'Understanding mental models through a moderated framework for serious discussion', 23rd International Congress on Modelling and Simulation, Canberra.
Kenny, D, Voinov, A & Castilla Rho, J 2019, 'Persuasion, influence, and participatory modelling in socio-ecological systems: A framework for action', 23rd International Congress on Modelling and Simulation, Canberra.
Ogie, R, Castilla Rho, J, Clarke, R & Moore, A 2018, 'Disaster Risk Communication in Culturally and Linguistically Diverse Communities: The Role of Technology', 12thInternationalConferenceonUbiquitousComputingandAmbientIntelligence, Punta Cana, Dominican Republic.