Ecosystem Intelligence: Viability, Agency, and Transformation in Complex Ecosystems
Keywords:
Ecosystem Intelligence; Ecosystem Viability, Distributed Agency, Collective and Hybrid Intelligence, Ecosystem Sensemaking, Complex Ecosystems, Viability Diagnostics, Adaptive Transformation, GovernabilityAbstract
This founding editorial introduces Ecosystem Intelligence as an emerging field for studying how complex ecosystems become knowable, coordinate action, remain viable, and transform under uncertainty. The proposed field is evolutionary: it integrates insights from established systems, intelligence, resilience, transition, and governance traditions around a distinct research problem: how distributed sensing, interpretation, agency, disturbance absorption, and reorganization affect ecosystem viability. The editorial also acknowledges narrower previous uses of the phrase “ecosystem intelligence” in business-ecosystem analytics and AI-based platform research and proposes a broader scientific meaning centered on distributed ecosystem-level capacity and viability. This editorial proposes the following initial definition: Ecosystem Intelligence is the distributed capacity of a complex ecosystem to sense changing conditions, interpret their significance, coordinate heterogeneous human, artificial, institutional, infrastructural, economic, and environmental components, absorb disturbance, and reorganize under uncertainty while sustaining or restoring ecosystem viability. The editorial clarifies the scientific gap, distinguishes adjacent traditions, proposes four interdependent research areas, introduces an initial Ecosystem Intelligence Diagnostic Protocol, explains how bounded empirical testbeds can be developed across diverse domains, and presents the journal Ecosystem Intelligence and the Ecosystem Intelligence Academy community as complementary forums for building this field through research, debate, and participation. The proposed definition, boundary, research areas, diagnostic protocol, and approach to empirical grounding and testbed development are offered for discussion, testing, refinement, and further development.
References
Adger, W. N., Hughes, T. P., Folke, C., Carpenter, S. R., & Rockström, J. (2005). Social-ecological resilience to coastal disasters. Science, 309(5737), 1036-1039. https://doi.org/10.1126/science.1112122
Adner, R. (2017). Ecosystem as structure: An actionable construct for strategy. Journal of Management, 43(1), 39-58. https://doi.org/10.1177/0149206316678451
Albert, R., & Barabási, A.-L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), 47-97. https://doi.org/10.1103/RevModPhys.74.47
Amer, M., Daim, T. U., & Jetter, A. (2013). A review of scenario planning. Futures, 46, 23-40. https://doi.org/10.1016/j.futures.2012.10.003
Ashby, W. R. (1956). An introduction to cybernetics. Chapman & Hall.
Banister, D. (2008). The sustainable mobility paradigm. Transport Policy, 15(2), 73-80. https://doi.org/10.1016/j.tranpol.2007.10.005
Basole, R. C., Park, H., & Seuss, C. D. (2024). Complex business ecosystem intelligence using AI-powered visual analytics. Decision Support Systems, 178, 114133. https://doi.org/10.1016/j.dss.2023.114133
Basole, R. C., Srinivasan, A., Park, H., & Patel, S. (2018). ecoxight: Discovery, exploration, and analysis of business ecosystems using interactive visualization. ACM Transactions on Management Information Systems, 9(2), Ar-ticle 6. https://doi.org/10.1145/3185047
Batty, M. (2013). The new science of cities. MIT Press.
Bauckhage, C., Drachen, A., & Sifa, R. (2015). Clustering Game Behavior Data. IEEE Transactions on Computational Intelligence and AI in Games, 7(3), 266-278. https://doi.org/10.1109/TCIAIG.2014.2376982
Beer, S. (1984). The viable system model: Its provenance, development, methodology and pathology. Journal of the Operational Research Society, 35(1), 7-25. https://doi.org/10.1057/jors.1984.2
Berkes, F., & Folke, C. (Eds.). (1998). Linking social and ecological systems: Management practices and social mechanisms for building resilience. Cambridge University Press.
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1-14. https://doi.org/10.1108/09574090410700275
Comfort, L. K. (2007). Crisis management in hindsight: Cognition, communication, coordination, and control. Public Administration Review, 67(s1), 189-197. https://doi.org/10.1111/j.1540-6210.2007.00827.x
Cong, L., Christensen, K., Værbak, M., Jørgensen, B. N., & Ma, Z. G. (2025). Empirically Informed Multi-Agent Simulation of Distributed Energy Resource Adoption and Grid Overload Dynamics in Energy Communities. Electronics, 14(20), 4001. https://doi.org/10.3390/electronics14204001
Costa, L. M., Drachen, A., Souza, F. C. M., & Xexéo, G. (2024). Artificial Intelligence in MOBA Games: A Multivocal Literature Mapping. IEEE Transactions on Games, 16(2), 250-269. https://doi.org/10.1109/TG.2023.3282157
Dellermann, D., Ebel, P., Söllner, M., & Leimeister, J. M. (2019). Hybrid intelligence. Business & Information Systems Engineering, 61(5), 637-643. https://doi.org/10.1007/s12599-019-00595-2
Dix, A., Finlay, J., Abowd, G. D., & Beale, R. (2004). Human-computer interaction (3rd ed.). Pearson.
D'Odorico, P., Davis, K. F., Rosa, L., Carr, J. A., Chiarelli, D., Dell'Angelo, J., Gephart, J. A., MacDonald, G. K., Seekell, D. A., Suweis, S., & Rulli, M. C. (2018). The global food-energy-water nexus. Reviews of Geophysics, 56(3), 456-531. https://doi.org/10.1029/2017RG000591
Dourish, P. (2001). Where the action is: The foundations of embodied interaction. MIT Press.
Duan, H., Ming, X., Zhang, X.-B., Sterner, T., & Wang, S. (2023). China's adaptive response to climate change through air-conditioning. iScience, 26(3), 106178. https://doi.org/10.1016/j.isci.2023.106178
Duan, H., Mu, T., & Yu, Q. (2025). City-level analysis of carbon reduction potential and decarbonization challenges in China. Cities, 158, 105636. https://doi.org/10.1016/j.cities.2024.105636
Duan, H., Rogelj, J., Veysey, J., & Wang, S. (2020). Modeling deep decarbonization: Robust energy policy and climate action. Applied Energy, 262, 114517. https://doi.org/10.1016/j.apenergy.2020.114517
Duan, H., Sun, Y., Tang, Y., Iyer, G., & Li, X. (2026). Leveraging machine learning to reveal transparency in integrated assessment model ensembles. Climatic Change, 179(5), 98. https://doi.org/10.1007/s10584-026-04181-w
Duan, H., Yuan, D., Cai, Z., & Wang, S. (2022). Valuing the impact of climate change on China's economic growth. Economic Analysis and Policy, 74, 155-174. https://doi.org/10.1016/j.eap.2022.01.019
Duan, H., Zhou, S., Jiang, K., Bertram, C., Harmsen, M., Kriegler, E., van Vuuren, D. P., Wang, S., Fujimori, S., Tavoni, M., Ming, X., Keramidas, K., Iyer, G., & Edmonds, J. (2021). Assessing China's efforts to pursue the 1.5°C warming limit. Science, 372(6540), 378-385. https://doi.org/10.1126/science.aba8767
Fisch-Romito, V., Jaxa-Rozen, M., Wen, X., & Trutnevyte, E. (2025). Multi-country evidence on societal factors to include in energy transition modelling. Nature Energy, 10(4), 460-469. https://doi.org/10.1038/s41560-025-01719-7
Folke, C., Polasky, S., Rockström, J., Galaz, V., Westley, F., Lamont, M., Scheffer, M., Österblom, H., Carpenter, S. R., Chapin, F. S., Seto, K. C., Weber, E. U., Crona, B. I., Daily, G. C., Dasgupta, P., Gaffney, O., Gordon, L. J., Hoff, H., Levin, S. A., ... Walker, B. H. (2021). Our future in the Anthropocene biosphere. Ambio, 50(4), 834-869. https://doi.org/10.1007/s13280-021-01544-8
Forrester, J. W. (1961). Industrial dynamics. MIT Press.
Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital twin: Enabling technologies, challenges and open research. IEEE Access, 8, 108952-108971. https://doi.org/10.1109/ACCESS.2020.2998358
Geels, F. W. (2002). Technological transitions as evolutionary reconfiguration processes: A multi-level perspective and a case-study. Research Policy, 31(8-9), 1257-1274. https://doi.org/10.1016/S0048-7333(02)00062-8
Geels, F. W. (2020). Micro-foundations of the multi-level perspective on socio-technical transitions: Developing a multi-dimensional model of agency through crossovers between social constructivism, evolutionary economics and neo-institutional theory. Technological Forecasting and Social Change, 152, 119894. https://doi.org/10.1016/j.techfore.2019.119894
Gillespie, T. (2018). Custodians of the internet: Platforms, content moderation, and the hidden decisions that shape social media. Yale University Press.
Greenhalgh, T., & Papoutsi, C. (2018). Studying complexity in health services research: Desperately seeking an overdue paradigm shift. BMC Medicine, 16, 95. https://doi.org/10.1186/s12916-018-1089-4
Greenhalgh, T., Wherton, J., Papoutsi, C., Lynch, J., Hughes, G., A'Court, C., Hinder, S., Fahy, N., Procter, R., & Shaw, S. (2017). Beyond adoption: A new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. Journal of Medical Internet Research, 19(11), e367. https://doi.org/10.2196/jmir.8775
Grieves, M., & Vickers, J. (2017). Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. In F.-J. Kahlen, S. Flumerfelt, & A. Alves (Eds.), Transdisciplinary perspectives on complex systems (pp. 85-113). Springer. https://doi.org/10.1007/978-3-319-38756-7_4
Hein, A., Schreieck, M., Riasanow, T., Setzke, D. S., Wiesche, M., Böhm, M., & Krcmar, H. (2020). Digital platform ecosystems. Electronic Markets, 30(1), 87-98. https://doi.org/10.1007/s12525-019-00377-4
Hirt, L. F., Schell, G., Sahakian, M., & Trutnevyte, E. (2020). A review of linking models and socio-technical transitions theories for energy and climate solutions. Environmental Innovation and Societal Transitions, 35, 162-179. https://doi.org/10.1016/j.eist.2020.03.002
Holland, J. H. (1995). Hidden order: How adaptation builds complexity. Addison-Wesley.
Holling, C. S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4, 1-23. https://doi.org/10.1146/annurev.es.04.110173.000245
Hutchins, E. (1995). Cognition in the wild. MIT Press.
Iansiti, M., & Levien, R. (2004). The keystone advantage: What the new dynamics of business ecosystems mean for strategy, innovation, and sustainability. Harvard Business School Press.
Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829-846. https://doi.org/10.1080/00207543.2018.1488086
Jacobides, M. G., Cennamo, C., & Gawer, A. (2018). Towards a theory of ecosystems. Strategic Management Journal, 39(8), 2255-2276. https://doi.org/10.1002/smj.2904
Jennings, N. R. (2000). On agent-based software engineering. Artificial Intelligence, 117(2), 277-296. https://doi.org/10.1016/S0004-3702(99)00107-1
Jørgensen, B. N., & Ma, Z. G. (2026a). Cybersecurity and Resilience of Smart Grids: A Review of Threat Landscape, Incidents, and Emerging Solutions. Applied Sciences, 16(2), 981. https://doi.org/10.3390/app16020981
Jørgensen, B. N., & Ma, Z. G. (2026b). Infostructure: A Scoping Review and Reference Architectural Framework for Situation Awareness in Future Power System Control Rooms. Energies, 19(6), 1472. https://doi.org/10.3390/en19061472
Keys, P. W., Galaz, V., Dyer, M., Matthews, N., Folke, C., Nyström, M., & Cornell, S. E. (2019). Anthropocene risk. Nature Sustainability, 2(8), 667-673. https://doi.org/10.1038/s41893-019-0327-x
Lamperti, F., Mandel, A., Napoletano, M., Sapio, A., Roventini, A., Balint, T., & Khorenzhenko, I. (2019). Towards agent-based integrated assessment models: Examples, challenges, and future developments. Regional Envi-ronmental Change, 19(3), 747-762. https://doi.org/10.1007/s10113-018-1287-9
Li, G., & Duan, H. (2025). Robustness assessment of climate policies towards carbon neutrality: A DRO-IAMs ap-proach. Computers & Operations Research, 174, 106879. https://doi.org/10.1016/j.cor.2024.106879
Lund, H., Østergaard, P. A., Connolly, D., & Mathiesen, B. V. (2017). Smart energy and smart energy systems. Energy, 137, 556-565. https://doi.org/10.1016/j.energy.2017.05.123
Ma, Z. G. (2019). Business Ecosystem modeling - The Hybrid of System Modeling and Ecological Modeling: An application of the smart grid. Energy Informatics, 2(1), 35. https://doi.org/10.1186/s42162-019-0100-4
Ma, Z. G., Billanes, J. D., & Jørgensen, B. N. (2025). Climate Resilience and Energy Flexibility in Industrial Systems: A Scoping Review of Concepts, Technologies, Applications, and Policy Links. Energies, 18(18), 4985. https://doi.org/10.3390/en18184985
Ma, Z. G., Cong, L., & Jørgensen, B. N. (2026). Deployment Feasibility as a Layered Construct: A Sequential Gate Framework for Evaluating Battery Dispatch Strategies in Distribution Grids. Energies, 19(10), 2424. https://doi.org/10.3390/en19102424
Ma, Z. G., Schultz, M. J., Christensen, K., Værbak, M., Demazeau, Y., & Jørgensen, B. N. (2019). The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review. Energies, 12(16), 3200. https://doi.org/10.3390/en12163200
Maturana, H. R., & Varela, F. J. (1980). Autopoiesis and cognition: The realization of the living. D. Reidel Publishing Company.
Meadows, D. H. (2008). Thinking in systems: A primer. Chelsea Green Publishing.
Moore, F. C., Lacasse, K., Mach, K. J., Shin, Y. A., Gross, L. J., & Beckage, B. (2022). Determinants of emissions pathways in the coupled climate-social system. Nature, 603(7899), 103-111. https://doi.org/10.1038/s41586-022-04423-8
Moore, J. F. (1993). Predators and prey: A new ecology of competition. Harvard Business Review, 71(3), 75-86.
Moser, S. C., & Ekstrom, J. A. (2010). A framework to diagnose barriers to climate change adaptation. Proceedings of the National Academy of Sciences, 107(51), 22026-22031. https://doi.org/10.1073/pnas.1007887107
Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325(5939), 419-422. https://doi.org/10.1126/science.1172133
Pahl-Wostl, C. (2007). Transitions towards adaptive management of water facing climate and global change. Water Resources Management, 21(1), 49-62. https://doi.org/10.1007/s11269-006-9040-4
Peeters, M. M. M., van Diggelen, J., van den Bosch, K., Bronkhorst, A., Neerincx, M. A., Schraagen, J. M., & Raaijmakers, S. (2021). Hybrid collective intelligence in a human-AI society. AI & Society, 36(1), 217-238. https://doi.org/10.1007/s00146-020-01005-y
Pescaroli, G., & Alexander, D. E. (2018). Understanding compound, interconnected, interacting, and cascading risks: A holistic framework. Risk Analysis, 38(11), 2245-2257. https://doi.org/10.1111/risa.13128
Plsek, P. E., & Greenhalgh, T. (2001). The challenge of complexity in health care. BMJ, 323(7313), 625-628. https://doi.org/10.1136/bmj.323.7313.625
Preiser, R., Biggs, R., De Vos, A., & Folke, C. (2018). Social-ecological systems as complex adaptive systems: Organizing principles for advancing research methods and approaches. Ecology and Society, 23(4), 46. https://doi.org/10.5751/ES-10558-230446
Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., Jennings, N. R., Kamar, E., Kloumann, I. M., Larochelle, H., Lazer, D., McElreath, R., Mislove, A., Parkes, D. C., Pentland, A., ... Wellman, M. (2019). Machine behaviour. Nature, 568(7753), 477-486. https://doi.org/10.1038/s41586-019-1138-y
Reed, M. S. (2008). Stakeholder participation for environmental management: A literature review. Biological Conservation, 141(10), 2417-2431. https://doi.org/10.1016/j.biocon.2008.07.014
Rinaldi, S. M., Peerenboom, J. P., & Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine, 21(6), 11-25. https://doi.org/10.1109/37.969131
Rocha, J. C., Peterson, G., Bodin, Ö., & Levin, S. (2018). Cascading regime shifts within and across scales. Science, 362(6421), 1379-1383. https://doi.org/10.1126/science.aat7850
Rockström, J., Gupta, J., Qin, D., Lade, S. J., Abrams, J. F., Andersen, L. S., Armstrong McKay, D. I., Bai, X., Bala, G., Bunn, S. E., Ciobanu, D., DeClerck, F., Ebi, K., Gifford, L., Gordon, C., Hasan, S., Kanie, N., Lenton, T. M., Loriani, S., ... Zhang, X. (2023). Safe and just Earth system boundaries. Nature, 619(7968), 102-111. https://doi.org/10.1038/s41586-023-06083-8
Rockström, J., Steffen, W., Noone, K., Persson, Å., Chapin, F. S., III, Lambin, E. F., Lenton, T. M., Scheffer, M., Folke, C., Schellnhuber, H. J., Nykvist, B., de Wit, C. A., Hughes, T., van der Leeuw, S., Rodhe, H., Sörlin, S., Snyder, P. K., Costanza, R., Svedin, U., ... Foley, J. A. (2009). A safe operating space for humanity. Nature, 461(7263), 472-475. https://doi.org/10.1038/461472a
Rotmans, J., & van Asselt, M. B. A. (2001). Uncertainty management in integrated assessment modeling: Towards a pluralistic approach. Environmental Monitoring and Assessment, 69(2), 101-130. https://doi.org/10.1023/A:1010722120729
Schill, C., Anderies, J. M., Lindahl, T., Folke, C., Polasky, S., Cárdenas, J. C., Crépin, A.-S., Janssen, M. A., Norberg, J., & Schlüter, M. (2019). A more dynamic understanding of human behaviour for the Anthropocene. Nature Sustainability, 2(12), 1075-1082. https://doi.org/10.1038/s41893-019-0419-7
Schiller, M. H., Wallner, G., Schinnerl, C., Calvo, A. M., Pirker, J., Sifa, R., & Drachen, A. (2019). Inside the group: Investigating social structures in player groups and their influence on activity. IEEE Transactions on Games, 11(4), 416-425. https://doi.org/10.1109/TG.2018.2858024
Schmidt, R., Alt, R., & Zimmermann, A. (2022). Ecosystem intelligence for AI-based assistant platforms. Proceedings of the 55th Hawaii International Conference on System Sciences, 4316-4325. https://doi.org/10.24251/HICSS.2022.527
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G. J., Elkins, A., Maier, R., Merz, A. B., Oeste-Reiß, S., Randrup, N., Schwabe, G., & Söllner, M. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information & Management, 57(2), 103174. https://doi.org/10.1016/j.im.2019.103174
Seif El-Nasr, M., Desurvire, H., Aghabeigi, B., & Drachen, A. (2013). Game Analytics for Game User Research, Part 1: A Workshop Review and Case Study. IEEE Computer Graphics and Applications, 33(2), 6-11. https://doi.org/10.1109/MCG.2013.26
Selbst, A. D., Boyd, D., Friedler, S. A., Venkatasubramanian, S., & Vertesi, J. (2019). Fairness and abstraction in sociotechnical systems. In Proceedings of the 2019 Conference on Fairness, Accountability, and Transparency (pp. 59-68). Association for Computing Machinery. https://doi.org/10.1145/3287560.3287598
Shi, H., Heng, J., Duan, H., Li, H., Chen, W., Wang, P., Cui, L., & Wang, S. (2025). Critical mineral constraints pressure energy transition and trade toward the Paris Agreement climate goals. Nature Communications, 16, 4496. https://doi.org/10.1038/s41467-025-59741-y
Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human-Computer Interaction, 36(6), 495-504. https://doi.org/10.1080/10447318.2020.1741118
Simon, H. A. (1962). The architecture of complexity. Proceedings of the American Philosophical Society, 106(6), 467-482.
Strbac, G. (2008). Demand side management: Benefits and challenges. Energy Policy, 36(12), 4419-4426. https://doi.org/10.1016/j.enpol.2008.09.030
Suchman, L. A. (1987). Plans and situated actions: The problem of human-machine communication. Cambridge University Press.
Thaicharoen, S., Gow, J., & Drachen, A. (2023). An Ecosystem Framework for the Meta in Esport Games. Journal of Electronic Gaming and Esports, 1(1). https://doi.org/10.1123/jege.2022-0045
Trutnevyte, E., Hirt, L. F., Bauer, N., Cherp, A., Hawkes, A., Edelenbosch, O. Y., Pedde, S., & van Vuuren, D. P. (2019). Societal transformations in models for energy and climate policy: The ambitious next step. One Earth, 1(4), 423-433. https://doi.org/10.1016/j.oneear.2019.12.002
Værbak, M., Billanes, J. D., Jørgensen, B. N., & Ma, Z. G. (2024). A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids. Energies, 17(11), 2503. https://doi.org/10.3390/en17112503
van der Heijden, K. (2005). Scenarios: The art of strategic conversation (2nd ed.). Wiley.
van Dijck, J., Poell, T., & de Waal, M. (2018). The platform society: Public values in a connective world. Oxford University Press.
Voinov, A., & Bousquet, F. (2010). Modelling with stakeholders. Environmental Modelling & Software, 25(11), 1268-1281. https://doi.org/10.1016/j.envsoft.2010.03.007
von Bertalanffy, L. (1968). General system theory: Foundations, development, applications. George Braziller.
Wack, P. (1985). Scenarios: Uncharted waters ahead. Harvard Business Review, 63(5), 73-89.
Weick, K. E. (1995). Sensemaking in organizations. SAGE Publications.
Weyant, J. (2017). Some contributions of integrated assessment models of global climate change. Review of Environmental Economics and Policy, 11(1), 115-137. https://doi.org/10.1093/reep/rew018
Wiener, N. (1948). Cybernetics: Or control and communication in the animal and the machine. MIT Press.
Wooldridge, M. (2009). An introduction to multiagent systems (2nd ed.). Wiley.
Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010). Evidence for a collective intelligence factor in the performance of human groups. Science, 330(6004), 686-688. https://doi.org/10.1126/science.1193147
Wright, L., & Davidson, S. (2020). How to tell the difference between a model and a digital twin. Advanced Modeling and Simulation in Engineering Sciences, 7, 13. https://doi.org/10.1186/s40323-020-00147-4
Yang, Z., Duan, H., Yuan, Y., & Li, A. (2026). Alleviating income and energy consumption inequality with just transition toward carbon neutrality. Energy Economics, 158, 109344. https://doi.org/10.1016/j.eneco.2026.109344
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
Yu, S., Zhao, F., Yang, L., Yao, X., Li, Z., Wei, N., & Duan, H. (2026). Navigating ambition and equity: Systemic co-dependency in China's carbon neutrality pathways. Environmental Science & Technology, 60(21), 14934-14948. https://doi.org/10.1021/acs.est.5c15542
Yuan, Y., Duan, H., & Tsvetanov, T. G. (2020). Synergizing China's energy and carbon mitigation goals: General equilibrium modeling and policy assessment. Energy Economics, 89, 104787. https://doi.org/10.1016/j.eneco.2020.104787
Zendle, D., Flick, C., Gordon-Petrovskaya, E., Ballou, N., Xiao, L. Y., & Drachen, A. (2023). No evidence that Chinese playtime mandates reduced heavy gaming in one segment of the video games industry. Nature Human Behavior, 7(10), 1753-1766. https://doi.org/10.1038/s41562-023-01669-8
Zendle, D., Flick, C., Halgarth, D., Ballou, N., Demediuk, S., & Drachen, A. (2023). Cross-cultural Patterns in Mobile Playtime: An analysis of 118 billion hours of human data. Scientific Reports, 13(1), 386. https://doi.org/10.1038/s41598-022-26730-w
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