From data to decisions: Processing information, biases, and beliefs for improved management of natural resources and environments
Open accessAbstract
Our different kinds of minds and types of thinking affect the ways we decide, take action, and cooperate (or not). Derived from these types of minds, innate biases, beliefs, heuristics, and values ( BBHV ) influence behaviors, often beneficially, when individuals or small groups face immediate, local, acute situations that they and their ancestors faced repeatedly in the past. BBHV , though, need to be recognized and possibly countered or used when facing new, complex issues or situations especially if they need to be managed for the benefit of a wider community, for the longer‐term and the larger‐scale. Taking BBHV into account, we explain and provide a cyclic science‐infused adaptive framework for (1) gaining knowledge of complex systems and (2) improving their management. We explore how this process and framework could improve the governance of science and policy for different types of systems and issues, providing examples in the area of natural resources, hazards, and the environment. Lastly, we suggest that an “Open Traceable Accountable Policy” initiative that followed our suggested adaptive framework could beneficially complement recent Open Data/Model science initiatives. Plain Language Summary Our review paper suggests that society can improve the management of natural resources and environments by (1) recognizing the sources of human decisions and thinking and understanding their role in the scientific progression to knowledge; (2) considering innate human needs an…
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PM offers benefits such as integrating knowledge across disciplines, accounting for the values and beliefs of various stakeholders, promoting co-learning and co-decision making, and facilitating dialogue between scientists and policymakers.
“PM offers several benefits, such as integrating knowledge across disciplines, accounting for the values and beliefs of various stakeholders (Glynn et al., 2017), promoting colearning and co-decision making, and facilitating dialogue between scientists and policymakers (Paolisso and Trombley, 2017;Voinov et al., 2016).”
From Towards integrated management of sandy anthropogenic shores: Developing tools for the exploration of human-natural interactions (2025) · cites this paper as Glynn et al., 2017
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Self-citationWhy pay attention to paths in the practice of environmental modelling?
Lahtinen, T. J., Guillaume, J., & Hämäläinen, R. (2017) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2017.02.019 · Cited by 64 · see citing works
Jasanoff, S. (2012) · doi:10.1177/0306312712440174 · Cited by 63
COOPERATIVE MODELING: BUILDING BRIDGES BETWEEN SCIENCE AND THE PUBLIC 1
Cockerill, K., Passell, H., & Tidwell, V. (2006) · doi:10.1111/j.1752-1688.2006.tb03850.x · Cited by 63 · cited 1×
“FROM DATA TO DECISIONS 371 water management for the Klamath Basin in Oregon (https://www.oregon.gov/owrd/pages/Klamath_Basin _Task_Force.aspx;https://klamathrestoration.gov/), and the development of a water-management plan for the Middle Rio Grande Basin in New Mexico [Cockerill et al., 2006].”
BackgroundPeringer, A., Siehoff, S., Chételat, J., Spiegelberger, T., Buttler, A., & Gillet, F. (2013) · Ecology and Society · doi:10.5751/es-05600-180311 · Cited by 62 · see citing works
Models, validation, and applied geochemistry: Issues in science, communication, and philosophy
Nordstrom, D. (2012) · Applied Geochemistry · doi:10.1016/j.apgeochem.2012.07.007 · Cited by 60 · see citing works
Bressers, J., & Lulofs, K. (2010) · doi:10.1108/meq.2010.21.6.868.2 · Cited by 56
C.-S., A. (n.d.) · Nature · doi:10.1038/114405a0 · Cited by 53 · cited 3×
“Elinor Ostrom, however, received a Nobel Prize for understanding the need for “bottom-up” community planning and the importance of cultural norms that could help avert the “Tragedy of the Commons” described by Hardin [Dietz et al., 2003; Ostrom, 2010a, 2010b; Vollan and Ostrom, 2010; Ostrom et al., 2012; Kinzig et al.…”
BackgroundWhen peer-reviewed publications are not enough! Delivering science for natural resource management
McKinley, D., Briggs, R., & Bartuska, A. (2012) · Forest Policy and Economics · doi:10.1016/j.forpol.2012.03.007 · Cited by 52 · see citing works
Confronting socially generated uncertainty in adaptive management.
Tyre, A. J., & Michaels, S. (2011) · Journal of Environmental Management · doi:10.1016/j.jenvman.2010.10.014 · Cited by 52 · cited 2× · see citing works
“…with the participatory processes, structured decision-making, and the “learning-by-doing” aspects of adaptive management [Williams et al., 2009; Allen et al., 2011; Tyre and Michaels, 2011; Williams, 2011; Craig and Ruhl, 2013; Scarlett, 2013; Galat and Berkley, 2014; Allen and Garmestani, 2015].”
BackgroundMethodPath dependence in Operational Research—How the modeling process can influence the results
Hämäläinen, R., & Lahtinen, T. J. (2016) · Operations Research Perspectives · doi:10.1016/j.orp.2016.03.001 · Cited by 52 · cited 1× · see citing works
“The outcomes of the process may be “path-dependent,” as is recognized in model-supported problem solving and operations research [Hämäläinen and Lahtinen, 2016; Lahtinen et al., 2017].”
BackgroundPeer Review and Quality Control
Funtowicz, S. (2001) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.85016-3 · Cited by 50 · cited 1× · see citing works
“…for scientific peer review that were developed during the era of “curiosity-driven science” seem now much more subject to manipulation and biases in the era of PNS and mission-oriented, issue-driven science, and in the provision and use of scientific advice for policy [Funtowicz and Ravetz, 2015].”
BackgroundBan, N. C., Evans, L. S., Nenadović, M., & Schoon, M. (2015) · Ecology and Society · doi:10.5751/es-07857-200402 · Cited by 50 · see citing works
Bishop, I., Pettit, C., Sheth, F., & Sharma, S. (2013) · doi:10.1068/b38159 · Cited by 49
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A Community Approach to Earth Systems Modeling
Voinov, A., DeLuca, C., Hood, R., Peckham, S., Sherwood, C., & Syvitski, J. (2010) · doi:10.1029/2010eo130001 · Cited by 40
Self-citationIntegrated Environmental Modelling: human decisions, human challenges
Glynn, P. D. (2015) · Geological Society London Special Publications · doi:10.1144/sp408.9 · Cited by 30 · see citing works
Self-citationLand use in the Taupo catchment, New Zealand
Edgar, N. (1999) · doi:10.1080/00288330.1999.9516884 · Cited by 26
Dennett, D., & Roy, D. (2015) · doi:10.1038/scientificamerican0315-64 · Cited by 19
Bowen, Z., Oelsner, G., Cade, B., Gallegos, T., Farag, A. M., Mott, D. N., Potter, C., Cinotto, P. J., Clark, M., Kappel, W., et al. (2015) · Water Resources Research · doi:10.1002/2014wr016382 · Cited by 18 · see citing works
Lins, H., Hirsch, R., & Kiang, J. (2010) · doi:10.3133/cir1347 · Cited by 18 · cited 1×
“More generally, availability, access, and careful continued analysis of long-term datasets, collected with well-documented standard protocols, are essential to the improved management of natural resources and environments [Lovett et al., 2007; Lins et al., 2010; Magurran et al., 2010].”
BackgroundRiddick, A., Hughes, A., Kessler, H., & Giles, J. (2016) · Special Publications · doi:10.1144/sp408.17 · Cited by 17
Fukushima: The Story of a Nuclear Disaster
Lochbaum, D. (2014) · doi:10.5860/choice.186184 · Cited by 16
Chapter Twelve Building a Community Modelling and Information Sharing Culture
Voinov, A., Hood, R., Daues, J. D., Assaf, H., & Stewart, R. (2008) · doi:10.1016/s1574-101x(08)00620-0 · Cited by 15 · cited 1× · see citing works
“The recent trend toward providing Open Access to data and models used by scientists is admirable because it allows greater transparency and possible reproducibility checks, and because it is an essential element of community-based science [Voinov et al., 2008, 2010].”
Self-citationA message from magic to science: seeing how the brain can be tricked may strengthen our thinking
Österblom, H., Scheffer, M., Westley, F., van Esso, M. L., Miller, J., & Bascompte, J. (2015) · doi:10.5751/es-07943-200416 · Cited by 14
van der Sluijs, J. P., & Wardekker, J. A. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/4/045005 · Cited by 14 · see citing works
Galat, D., & Berkley, J. D. (2014) · doi:10.5751/es-06438-190240 · Cited by 11 · cited 1×
“…with the participatory processes, structured decision-making, and the “learning-by-doing” aspects of adaptive management [Williams et al., 2009; Allen et al., 2011; Tyre and Michaels, 2011; Williams, 2011; Craig and Ruhl, 2013; Scarlett, 2013; Galat and Berkley, 2014; Allen and Garmestani, 2015].”
BackgroundHow to get your model results used: a guide to stakeholder engagement
Hughes, A., van Wonderen, J. V., Rees, J., Seymour, K., Manful, D., & Karl, H. (2012) · Geological Society London Special Publications · doi:10.1144/sp364.4 · Cited by 9 · cited 1× · see citing works
“This is essential to the operation of our adaptive framework [Voinov and Gaddis, 2008; Voinov and Bousquet, 2010; Hughes et al., 2012; Voinov et al., 2016].”
MethodThe wisdom, and madness, of crowds
Petsko, G. (2008) · Genome Biology · doi:10.1186/gb-2008-9-11-112 · Cited by 5 · cited 1×
“The wisdom of a “crowd of independent broad-thinking minds” is sought [Surowiecki, 2005], rather than the “madness of a herd” [McKay, 1841; Petsko, 2008].”
BackgroundL'État et le développement de l'agriculture : le concept d'intervention
Goussault, Y. (1976) · doi:10.3406/tiers.1976.2654 · Cited by 4
La participation des collectivités rurales au développement
Goussault, Y. (1961) · Revue internationale des études du développement · doi:10.3406/tiers.1961.1251 · Cited by 2 · see citing works
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Tools and methods in participatory modeling: Selecting the right tool for the job
Voinov, A., Jenni, K., Gray, S. A., Kolagani, N., Glynn, P., Bommel, P., Prell, C., Zellner, M., Paolisso, M., Jordan, R., et al. (2018) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2018.08.028 · Cited by 419 · see citing works
“Here also there are certain restrictions on the realism of the output generated; virtual reality may overburden stakeholders with information and hide the important message of the modeling process (Voinov et al., 2017).”
BackgroundSelf-citationJakeman, A., Elsawah, S., Wang, H., Hamilton, S., Melsen, L., & Grimm, V. (2024) · Socio-Environmental Systems Modelling · doi:10.18174/sesmo.18755 · Cited by 161
“Modeling is a semi-structured and knowledge-intensive activity, where the modeling process and achieved outcomes depend largely on the experience and knowledge of individuals and teams (Glynn et al., 2017; Melsen, 2022).”
BackgroundExploratory modeling for analyzing coupled human-natural systems under uncertainty
Moallemi, E. A., Kwakkel, J., de Haan, F. J., & Bryan, B. A. (2020) · Global Environmental Change · doi:10.1016/j.gloenvcha.2020.102186 · Cited by 130 · see citing works
Transition to low-carbon economy: Assessing cumulative impacts of individual behavioral changes
Niamir, L., Filatova, T., Voinov, A. A., & Bressers, H. T. A. (2018) · Energy Policy · doi:10.1016/j.enpol.2018.03.045 · Cited by 134 · see citing works
“Understanding the cumulative impacts of behavioral processes and effect of policies on different socio-economic consumer groups in an artificial regional economy could provide a valuable platform for participatory experiments (Glynn et al., 2017).”
BackgroundSelf-citationGray, S. A., Voinov, A., Paolisso, M., Jordan, R., BenDor, T., Bommel, P., Glynn, P., Hedelin, B., Hubacek, K., Introne, J., et al. (2018) · Ecological Applications · doi:10.1002/eap.1627 · Cited by 109 · see citing works
“…on the proximate causes and consequences of environmental problems (Jordan et al. 2014, Gray et al. 2017), thus supporting discourse and the decision-making process, and helping to overcome some of the cognitive limitations (see Glynn et al. 2017) that complex problems present (Sterman 2008).”
BackgroundSelf-citationA framework for characterising and evaluating the effectiveness of environmental modelling
Hamilton, S. H., Fu, B., Guillaume, J. H. A., Badham, J., Elsawah, S., Gober, P. A., Hunt, R. J., Iwanaga, T., Jakeman, A. J., Ames, D. P., et al. (2019) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2019.04.008 · Cited by 99 · see citing works
“Glynn et al. (2017) argue that such interconnection is needed for adaptive management of natural resources.”
BackgroundIwanaga, T., Wang, H., Hamilton, S. H., Grimm, V., Koralewski, T. E., Salado, A., Elsawah, S., Razavi, S., Yang, J., Glynn, P. D., et al. (2020) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2020.104885 · Cited by 88 · see citing works
Self-citationMoallemi, E. A., Zare, F., Reed, P. M., Elsawah, S., Ryan, M. J., & Bryan, B. A. (2019) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2019.104551 · Cited by 84 · see citing works
Twelve Questions for the Participatory Modeling Community
Jordan, R., Gray, S. A., Zellner, M., Glynn, P., Voinov, A., Hedelin, B., Sterling, E., Leong, K. M., Olabisi, L. S., Hubacek, K., et al. (2018) · Earth's Future · doi:10.1029/2018ef000841 · Cited by 81 · see citing works
“Such studies could take the form of mental or cultural model assessments (Doyle et al., 1998), as well as research on impacts of PM on beliefs, biases, heuristics, and values (Glynn et al., 2017).”
BackgroundSelf-citationRevisiting the Relationship Between Data, Models, and Decision‐Making
Ferré, T. P. A. (2017) · Ground Water · doi:10.1111/gwat.12574 · Cited by 81 · see citing works
“Many approaches have been proposed to quantify utilities (e.g., Glynn et al. 2017).”
BackgroundBakhanova, E., Garcia, J., Raffe, W. L., & Voinov, A. (2020) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2020.104846 · Cited by 79 · see citing works
Self-citationLittle, J. C., Hester, E., Elsawah, S., Filz, G., Sandu, A., Carey, C., Iwanaga, T., & Jakeman, A. (2019) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2018.11.011 · Cited by 72 · see citing works
“Assigning weights does, however, require value judgements (Glynn et al., 2017; Voinov et al., 2014), which may differ from person to person and from culture to”
BackgroundTry, try again: Lessons learned from success and failure in participatory modeling
Sterling, E., Zellner, M., Jenni, K., Leong, K. M., Glynn, P., BenDor, T., Bommel, P., Hubacek, K., Jetter, A. J., Jordan, R., et al. (2019) · Elementa: Science of the Anthropocene · doi:10.1525/elementa.347 · Cited by 71 · see citing works
Self-citationEvaluating Participatory Modeling Methods for Co‐creating Pathways to Sustainability
Moallemi, E. A., de Haan, F. D., Hadjikakou, M., Khatami, S., Malekpour, S., Smajgl, A., Smith, M. S., Voinov, A., Bandari, R., Lamichhane, P., et al. (2020) · Earth's Future · doi:10.1029/2020ef001843 · Cited by 60 · see citing works
“A major source of this disagreement is rooted in biases toward past experience and disciplinary conventions (Glynn et al., 2017).”
BackgroundSelf-citationKnowledge co-production for decision-making in human-natural systems under uncertainty
Moallemi, E., Zare, F., Hebinck, A., Szetey, K., Molina-Pérez, E., Zyngier, R., Hadjikakou, M., Kwakkel, J., Haasnoot, M., Miller, K., et al. (2023) · Global Environmental Change · doi:10.1016/j.gloenvcha.2023.102727 · Cited by 59
Eight Archetypes of Sustainable Development Goal (SDG) Synergies and Trade‐Offs
Moallemi, E., Hosseini, S. H., Eker, S., Gao, L., Bertone, E., Szetey, K., & Bryan, B. A. (2022) · Earth's Future · doi:10.1029/2022ef002873 · Cited by 51 · see citing works
LaMere, K., Mäntyniemi, S., Vanhatalo, J., & Haapasaari, P. (2020) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2019.104589 · Cited by 48 · see citing works
Natural resources governance and conflicts: Retrospective analysis
Aysan, A. F., Bakkar, Y., Ul-Durar, S., & Kayani, U. (2023) · Resources policy · doi:10.1016/j.resourpol.2023.103942 · Cited by 45 · see citing works
Physical geography in the Anthropocene
Ellis, E. C. (2017) · Progress in Physical Geography Earth and Environment · doi:10.1177/0309133317736424 · Cited by 53 · see citing works
“If we want our science to change things for the better, it is not enough to make our measurements more accurate or to broadcast these to the media or to policymakers (Glynn et al., 2017).”
BackgroundAubert, A., Medema, W., & Wals, A. (2019) · Water · doi:10.3390/w11040869 · Cited by 42 · see citing works
Zellner, M. L. (2024) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2024.105063 · Cited by 38 · see citing works
Voinov, A., Çöltekin, A., Chen, M., & Beydoun, G. (2018) · International Journal of Digital Earth · doi:10.1080/17538947.2017.1365961 · Cited by 37
“We are attached to our perceptions, which may be illusions or may be very real but in any case are largely driven by our background knowledge, our vested interests, cultural biases and own values (Voinov et al. 2014; Glynn et al. 2017) (Figure 1).”
BackgroundSelf-citationvan Noordwijk, M. (2017) · Agricultural Systems · doi:10.1016/j.agsy.2017.10.008 · Cited by 128 · see citing works
Fu, H., Niu, J., Wu, Z., Xue, P., Sun, M., Zhu, H. M., & Cheng, B. (2022) · Environmental Management · doi:10.1007/s00267-022-01663-2 · Cited by 36 · see citing works
“For emerging objects, the public needs a more logical and thorough thinking process (Glynn et al. 2017).”
BackgroundA Method for Enhancing Capacity of Local Governance for Climate Change Adaptation
Williams, D. S., Celliers, L., Unverzagt, K., Videira, N., Costa, M. M., & Giordano, R. (2020) · Earth's Future · doi:10.1029/2020ef001506 · Cited by 33 · see citing works
“With its theoretical and conceptual roots in sustainable livelihood resources, a capital can be understood as a capability, resource, property, or other valuable upon which the ability of local governance to respond, adapt, and adjust to climate change depends (Goodwin, 2003; Scoones, 1998).”
BackgroundChanges in Energy Supplies in the Countries of the Visegrad Group
Rokicki, T., & Perkowska, A. (2020) · Sustainability · doi:10.3390/su12197916 · Cited by 32 · see citing works
Zare, F., Guillaume, J., Jakeman, A., & Torabi, O. (2020) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2020.104645 · Cited by 32 · see citing works
Zhang, Y.-S., & Chabay, I. (2020) · Sustainability · doi:10.3390/su12166448 · Cited by 31 · see citing works
Wyrwoll, P., Grafton, R., Daniell, K., Chu, H.-A.-L., Ringler, C., Lien, L., Dang, K., Do, T. N., & Nguyen, T. D. (2018) · Earth s Future · doi:10.1002/2017ef000777 · Cited by 30 · see citing works
“groups generally rely on beliefs, values, and heuristics to process information (Glynn et al., 2017), and they do not always make rational decisions under uncertainty (Kahneman & Tversky, 1979).”
BackgroundWang, H., van Voorn, G. V., Grant, W., Zare, F., Giupponi, C., Steinmann, P., Müller, B., Elsawah, S., van Delden, H., Athanasiadis, I., et al. (2023) · Socio-Environmental Systems Modelling · doi:10.18174/sesmo.18563 · Cited by 24 · see citing works
“…studies, (3) the use of inappropriate communication methods (first and foremost, using ‘slang’ or jargon language that is too technical), and (4) the existence of cognitive boundaries and behavioural phenomena that inhibit effective communication (Glynn et al., 2017; Moallemi et al., 2020).”
BackgroundKimmich, C., Gallagher, L., Kopainsky, B., Dubois, M., Sovann, C., Buth, C., & Bréthaut, C. (2019) · Earth s Future · doi:10.1029/2019ef001311 · Cited by 27 · see citing works
Developing a smart operational research with hybrid practice theories
Bürger, K., White, L., & Yearworth, M. (2019) · European Journal of Operational Research · doi:10.1016/j.ejor.2019.03.027 · Cited by 28 · see citing works
“…of thinking more deeply about human behaviour, for example in programming agent-based models or mitigate against biases as they influence participatory modelling, has also been developed in other fields (cf. Glynn, Voinov, Shapiro, & White, 2017; Tress, Tress, & Fry, 2005; Voinov et al., 2016 ).”
BackgroundZare, F., Guillaume, J., Elsawah, S., Croke, B., Fu, B., Iwanaga, T., Merritt, W., Partington, D., Ticehurst, J., & Jakeman, A. (2021) · Journal of Hydrology · doi:10.1016/j.jhydrol.2021.126070 · Cited by 22 · see citing works
Records of engagement and decision making for environmental and socio-ecological challenges
Cockerill, K., Glynn, P. D., Chabay, I., Farooque, M., Hämäläinen, R. P., Miyamoto, B., & McKay, P. A. (2019) · EURO Journal on Decision Processes · doi:10.1007/s40070-019-00104-6 · Cited by 24 · see citing works
Self-citationCzarnecki, A., Dacko, A., & Dacko, M. (2021) · Journal of Sustainable Tourism · doi:10.1080/09669582.2021.2006201 · Cited by 20
Qi, J., & Barclay, N. (2021) · Hydrology · doi:10.3390/hydrology8010010 · Cited by 19 · see citing works
Recognizing political influences in participatory social-ecological systems modeling
Lim, T., Glynn, P., Shenk, G., Bitterman, P., Guillaume, J., Little, J. C., & Webster, D. (2023) · Socio-Environmental Systems Modelling · doi:10.18174/sesmo.18509 · Cited by 18 · see citing works
“Computational models are used to numerically represent the causes and effects of SES challenges that science is called upon to provide solutions to, and are therefore ideal objects of study for understanding the sciencepolicy interface.”
BackgroundInfluentialSelf-citationA Competency Framework for Participatory Modeling
Elsawah, S., Bakhanova, E., Hämäläinen, R., & Voinov, A. (2023) · Group Decision and Negotiation · doi:10.1007/s10726-023-09818-0 · Cited by 17 · see citing works
“Glynn et al. (2017) focused on biases, beliefs, heuristics and values that can dominate in the decision making process and have to be properly acknowledged and treated.”
BackgroundSelf-citationValue of Information: Exploring Behavioral and Social Factors
Glynn, P. D., Chiavacci, S. J., Rhodes, C. R., HELGESON, J. F., Shapiro, C. D., & Straub, C. L. (2022) · Frontiers in Environmental Science · doi:10.3389/fenvs.2022.805245 · Cited by 18 · see citing works
“These are just a few of the BBHV that affect human thinking, judgments, and the valuation and use of information (Glynn, 2014; Glynn, 2017; Glynn et al., 2017; Glynn et al., 2018).”
BackgroundInfluentialSelf-citationNarratives of sustainability in digital media: An observatory for digital narratives
HELGESON, J. F., Glynn, P. D., & Chabay, I. (2022) · Futures · doi:10.1016/j.futures.2022.103016 · Cited by 23 · see citing works
Self-citationZare, F., Jakeman, A., Elsawah, S., & Guillaume, J. H. A. (2024) · Ecological Modelling · doi:10.1016/j.ecolmodel.2024.110719 · Cited by 13 · see citing works
Bakhshianlamouki, E., Augustijn, E., Brugnach, M., Voinov, A., & Wijnberg, K. (2023) · Social Science Research Network · doi:10.2139/ssrn.4297865 · Cited by 13
Self-citationParticipatory modelling and systems intelligence: A systems-based and transdisciplinary partnership
Kenny, D., Bakhanova, E., Hämäläinen, R., & Voinov, A. (2022) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2022.101310 · Cited by 13 · see citing works
Self-citationMoallemi, E. A., Elsawah, S., & Ryan, M. (2020) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2019.05.002 · Cited by 13 · see citing works
Glynn, P., Voinov, A., Shapiro, C., & White, P. A. (2018) · Earth s Future · doi:10.1002/2018ef000819 · Cited by 12 · see citing works
Self-citationValue of Information and Decision Pathways: Concepts and Case Studies
Glynn, P. D., Rhodes, C. R., Chiavacci, S. J., HELGESON, J. F., Shapiro, C. D., & Straub, C. L. (2022) · Frontiers in Environmental Science · doi:10.3389/fenvs.2022.805214 · Cited by 10 · see citing works
“We recognize the potential of the arts to elicit critical thinking and greater recognition of human BBHV and societal norms (Glynn, 2014; Glynn, 2017; Glynn et al., 2017; Glynn et al., 2018).”
BackgroundMethodInfluentialSelf-citationLaMere, K., Mäntyniemi, S., & Haapasaari, P. (2020) · Science of the Total Environment · doi:10.1016/j.scitotenv.2020.140068 · Cited by 10 · see citing works
Records of Engagement and Decision Tracking for Adaptive Management and Policy Development
Glynn, P., Shapiro, C., & Voinov, A. (2018) · International Symposium on Technology and Society · doi:10.1109/istas.2018.8638273 · Cited by 10
“In more modern terms, how can we start recognizing the BBHV of people and constituencies [4] engaged in participatory processes if we don’t let them express themselves? Furthermore, we believe that people will never start listening to logic, evidence and scientific reasoning if they don’t share some emotional connecti…”
BackgroundMethodInfluentialSelf-citationWalker, W., Marchau, V., Bloemen, P., Lawrence, J., Lempert, R., & Kwakkel, J. (2018) · doi:10.1002/2017ef000750 · Cited by 10
“Glynn et al. (2017) note the importance of engaging stakeholders in the process of public policymaking and analysis.”
BackgroundUncertain Waters: Participatory groundwater modelling in Chicago’s suburbs
Mannix, D. H., Birkenholtz, T., Abrams, D., & Cullen, C. (2021) · Geoforum · doi:10.1016/j.geoforum.2021.09.006 · Cited by 9
A modeller's fingerprint on hydrodynamic decision support modelling
Remmers, J., Teuling, A., & Melsen, L. (2024) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2024.106167 · Cited by 8
The early bird gets the return: The benefits of publishing your data sooner
Lortie, C. (2021) · Ecology and Evolution · doi:10.1002/ece3.7853 · Cited by 8 · see citing works
“Sooner enables deeper opportunities for connection with others at multiple steps in addition to review of papers (Glynn et al., 2017).”
BackgroundModel emulators and complexity management at the environmental science-action interface
Lim, T. (2021) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2020.104928 · Cited by 8
Yang, J., & Chen, M. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/4372406 · Cited by 7 · see citing works
RetractedToward a complete interdisciplinary treatment of scale
Iwanaga, T., Wang, H.-H., Koralewski, T. E., Grant, W., Jakeman, A., & Little, J. C. (2021) · Elementa Science of the Anthropocene · doi:10.1525/elementa.2020.00182 · Cited by 7 · see citing works
Mathias, J., Anderies, J., & Janssen, M. (2018) · Earth's Future · doi:10.1029/2018ef000852 · Cited by 7 · see citing works
Wang, Y., & Lv, P. (2023) · International Journal of Data Warehousing and Mining · doi:10.4018/ijdwm.320649 · Cited by 6
Scenarios and Decision Support for Security and Conflict Risks in the Context of Climate Change
Schweizer, V. (2019) · Current Climate Change Reports · doi:10.1007/s40641-019-00123-0 · Cited by 6 · see citing works
The Critical Role of Introspective Analysis in Modern Research Practices
Adeoye, M. A., & Omiwole, J. L. (2024) · Educational Researcher Journal · doi:10.71288/educationalresearcherjournal.v1i2.12 · Cited by 5
“This self-reflection approach helps researchers understand their processes and decisions, leading to heightened awareness of potential biases that may influence data interpretation or hypotheses (Glynn, 2017; Roy & Uekusa, 2020; Shufutinsky, 2020).”
Participatory Modeling for Group Decision Support
Voinov, A. (2021) · Handbook of Group Decision and Negotiation · doi:10.1007/978-3-030-12051-1_65-1 · Cited by 5 · see citing works
Self-citationMediated Modeling and Participatory Modeling
Hall, D. M., Lazarus, E., & Thompson, J. L. (2019) · Encyclopedia of Ecology · doi:10.1016/b978-0-12-409548-9.10574-3 · Cited by 5
Social Learning for Water Sector Resilience
Gober, P. (2018) · doi:10.1007/978-3-319-71234-5_8 · Cited by 5
Participatory modeling in the AI era
Kolagani, N., Glynn, P. D., Voinov, A. A., Quinn, N. W. T., HELGESON, J. F., & Dyckman, C. S. (2025) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2025.106762 · Cited by 2 · see citing works
Self-citationA review of an electric weir and fishway in a Great Lakes tributary from conception to termination
Tews, J. M., Adams, J. V., Mann, K. A., Koon, E. M., & Heinrich, J. W. (2020) · doi:10.1016/j.jglr.2020.09.004 · Cited by 4
Being Bayesian: Discussions from the Perspectives of Stakeholders and Hydrologists
Ferré, T. (2020) · Water · doi:10.3390/w12020461 · Cited by 4 · see citing works
Carbon management practices and associations with firm performance.
Wu, A.-Q., Subramanyam, R., & Anand, G. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2025.126414 · Cited by 3 · see citing works
Biocultural evolution, narratives, and emerging cultures of sustainability
Glynn, P. D., Cockerill, K., HELGESON, J. F., Newman, G., Glynn, S. A., & White, P. (2025) · Mitigation and Adaptation Strategies for Global Change · doi:10.1007/s11027-025-10200-5 · Cited by 3 · see citing works
“…across many disciplines to show that human anthropocentrism and exceptionalism (Plumwood 2009; Rigby 2009; Srinivasan and Kasturirangan 2016; Glynn et al. 2017; Anderson and Perrin 2018; Jasanoff 2021; Sadler-Smith and Akstinaite 2021; Kim et al. 2023) have obscured attention to (a) the…”
InfluentialSelf-citationRemmers, J., Teuling, A., Dahm, R., van Dam, A., & Melsen, L. (2024) · Socio-Environmental Systems Modelling · doi:10.18174/sesmo.18657 · Cited by 3 · see citing works
“With each modelling decision made, a path is created behind each model result (Glynn et al., 2017; Lahtinen et al., 2017; Melsen, 2022; Moallemi et al., 2020; Polhill & Edmonds, 2007), meaning that it is crucial to consider how and in which context the model is used.”
MethodBionic research of photothermal conversion performance based on butterfly wings
Liu, G.-M., Chen, H.-Q., Yin, Y., Chen, Y., & Liu, Y. (2023) · Entomological Research · doi:10.1111/1748-5967.12673 · Cited by 3
“However, in the 21st century, architecture faces the challenge of balancing the use of natural resources and the environment (Glynn et al .”
BackgroundJangjoo, S., Tang, T., Arpan, L. M., Lapan, E., Webster, D. G., Bitterman, P., Little, J. C., & Farid, A. M. (2026) · Policy Studies Journal · doi:10.1111/psj.70146 · Cited by 1 · see citing works
van der Meijden, B., & Melsen, L. (2025) · Socio-Environmental Systems Modelling · doi:10.18174/sesmo.18748 · Cited by 2
“This is especially relevant in the context of models used to support decision-making, such as for flood risk: “ Management and regulatory entities that claim to have a scientific basis for their decisions and actions ought to make accessible, documented, traceable predictions” (Glynn et al., 2017).”
Heredia-R, M., Falconí, V., H-Silva, J., Amores, K., Endara, C. A., & F-Ausay, K. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-60467-7_38 · Cited by 2 · see citing works
Understanding Game-based Approaches for Improving Sustainable Water Governance
Medema, W., Chew, C.-Z., Adamowski, J., Mayer, I., & Wals, A. (2020) · MDPI eBooks · doi:10.3390/books978-3-03928-763-5 · Cited by 2 · see citing works
The Economics and Governance of Multipurpose Hydropower Reservoirs
Wyrwoll, P. (2019) · doi:10.25911/5d6cf700971a4 · Cited by 2
“Individuals and groups generally rely on beliefs, values, and heuristics to process information (Glynn et al. 2017), and they do not always make rational decisions under uncertainty (Kahneman & Tversky 1979).”
BackgroundAjorlou, E., Pourmatin, M., Farhadzadeh, A., Ghayoomi, M., & Hewitt, E. (2026) · PLoS ONE · doi:10.1371/journal.pone.0345154 · Cited by 1 · see citing works
Lehnhart, E. D. R., Radons, D. L., Tagliapietra, R., & Tontini, J. (2021) · InCID Revista de Ciência da Informação e Documentação · doi:10.11606/issn.2178-2075.v12i1p41-59 · Cited by 1 · see citing works
Jeanson, A., Taylor, J. J., Rytwinski, T., Bennett, J., Young, N., Nguyen, V., Lin, H. Y., Kelly, L., & Cooke, S. J. (2026) · Environmental and Sustainability Indicators · doi:10.1016/j.indic.2026.101537
Han, X.-G. (2026) · Journal of Environmental & Earth Sciences · doi:10.30564/jees.v8i8.13287
“The bias in the data or models is another risk [74] .”
The imageability of bias and its guidance of stakeholder engagement in Illinois climate policy
Lemon, K., Sullivan, P., & Deal, B. (2026) · Discover Sustainability · doi:10.1007/s43621-026-03857-8
“According to Glynn et al. [4], these differences typically stem from variations in professional expertise, personal experiences, and underlying beliefs (bias).”
Radosevic, N., Duckham, M., Liu, G., & Tao, Y.-G. (2026) · Applied Computing and Geosciences · doi:10.1016/j.acags.2026.100348
Remmers, J., Guillaume, J., & Melsen, L. (2026) · Journal of Hydrology · doi:10.1016/j.jhydrol.2026.135931
Liu, J.-L., Jia, Y., Wu, C.-L., & Zhang, Y. (2026) · Forests · doi:10.3390/f17050601
Rodríguez, M. T. M., Bautista-Guerrero, E., Santiago-Valentín, J. D., Cupul-Magaña, A., & Troncoso, A. P. R. (2026) · Revista de Biología Tropical · doi:10.15517/h7pzq822
“…of coral communities and have shown differential response to stressors considered natural, such as thermal anomalies known as ENSO (El Niño Southern Oscillation), as well as climate change, and anthropogenic stressors, most of which are local in scale (Glynn et al., 2017; Knowlton & Jackson, 2001).”
NATURAL RESOURCES STATUS IN THE MOLINO DE FLORES NETZAHUALCÓYOTL NATIONAL PARK
Herrera-Llampallas, A., Luque-Delgadillo, A., Ramírez-García, G., García, A. E., Vázquez-Alarcón, A., Gómez-Díaz, J. D., & Monterroso-Rivas, A. (2018) · doi:10.18684/bsaa.16n2.1165
“Los parques nacionales se definen como representaciones biogeográficas, a nivel nacional, de uno o más ecosistemas [4] que signifiquen importancia por su belleza escénica, su valor científico, educativo, de recreo, su valor histórico, por la existencia de flora y fauna, por su aptitud para el desarrollo del turismo, o…”
Background
- Authors
- Glynn, P. D., Voinov, A. A., Shapiro, C. D., & White, P. A.
- Affiliations
- United States Geological Survey (US)
- International Institute for Geo-Information Science and Earth Observation (NL)
- GNS Science (NZ)
- Corresponding author
- Glynn, Pierre D.
- Venue
- Earth's Future
- Publisher
- American Geophysical Union (AGU)
- Published
- 2017-04
- Volume
- 5
- Issue
- 4
- Pages
- 356-378
- ISSN
- 2328-4277 (ISSN-L)
- OpenAlex
- W2603779228
- Cited by
- 98
- References
- 156
- Citations by year
- 2026: 12 · 2025: 6 · 2024: 5 · 2023: 12 · 2022: 11 · 2021: 9 · 2020: 15 · 2019: 10 · 2018: 13 · 2017: 5
- FWCI
- 10.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Earth s Future (publishedVersion, cc-by-nc-nd)
- University of Twente Research Information (publishedVersion, cc-by-nc-nd)
- UTS ePRESS (University of Technology Sydney) (submittedVersion)
- University of Twente Research Information (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Conservation, Ecology, Wildlife Education
- Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
- Keywords
- cognitive biases, heuristics, human decision-making, natural resource management, environmental management, complex systems, open data, open models, human values
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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