Core Modeling Practices

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Award Year: 
2015
Principal Investigator: 
Tony Jakeman, Australian National University
Suzanne Pierce, University of Texas at Austin
Sondoss El Sawah, University of New South Wales, Australia

Models play a key role in understanding and managing socio-environmental issues. Successful models help integrate various sources of data, perspectives, and knowledge; facilitate stakeholder participation; and support decision making. Such success depends on the use of effective practices throughout the model development lifecycle starting from defining objectives through using the model to draw insights and recommendations. From an interdisciplinary research perspective, access to best modeling practices is often limited because these practices are often captured and evaluated from a single field or disciplinary viewpoint and in a vacuum from what stakeholders think and need. This synthesis project aims to identify and articulate core modeling practices into products and methods that are accessible and relevant to different disciplinary and stakeholder perspectives. We will address the following fundamental question: From an interdisciplinary perspective, what are the core practices that should be employed in developing and using models to support integrated water resource management? Effective practices can be wrapped in different forms and formats to serve research (e.g. research publications), teaching (e.g. curricula), management (e.g. training courses and accreditation), and implementation (e.g. documented methodologies) purposes.

The Theme Building Resources for Complex, Action-Oriented Team Science provides opportunities for the wider global community to interact with this Pursuit.

Participants: 
Megnha Babbar-Sebens, Oregon State University
Jennifer Badham, Queen's University Belfast
Dan Ames, Brigham Young University, USA
Gabriele Bammer, The Australian National University
Patricia Gober, Arizona State University
Randy Hunt, USGS
Amy Krakowka Richmond, United States Military Academy, West Point
Gerard Learmonth, University of Virginia
Daniel Loucks, Cornell University
Scott Peckham, University of Colorado, Boulder
Val Snow, AgResearch Limited, New Zealand
Baihua Fu, Australian National University
Joseph Guillaume, Aalto University
Serena Hamilton, Edith Cowan University, Australia
David Hawthorne, SESYNC
Mary Hill, Kansas University

Resources:

Resource Titlesort descending Brief Summary
Choosing a Model: If All You Have Is a Hammer Jun 02, 2016

Article published in Integration and Implementation Insights.

Communicating uncertainty: design patterns for framing model results in scientific publications Nov 29, 2015

Conference proceeding from the 21st International Congress on Modelling and Simulation.

Good practices in system dynamics modelling Jul 18, 2017

Article published in Integration and Implementation Insights.

How Modellers Frame Uncertainty in Scientific Publications: Review and Reflections Jul 11, 2016

Conference proceeding from the iEMSs2016 8th International Congress on Environmental Modelling and Software in Toulouse, France.

 

ICTAM: Bringing mental models to numerical models Sep 22, 2016

Article published in Integration and Implementation Insights.

Looking for Patterns: An Approach for Tackling Tough Problems May 23, 2017

Article published in Integration and Implementation Insights.

Making Predictions Under Uncertainty Aug 25, 2016

Article published in Integration and Implementation Insights.

Model Complexity - What is the Right Amount? Nov 03, 2016

Article published in Integration and Implementation Insights.

Moving from Models that Synthesize to Models that Innovate Mar 24, 2016

Article published in Integration and Implementation Insights.

Sharing Integrated Modelling Practices - Part 1: Why Use "Patterns"? May 30, 2017

Article published in Integration and Implementation Insights.

Pages

Associated SESYNC Researcher(s): 
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