paper.bib

@misc{IAMCformatIIASA,
    title = {The IAMC timeseries data format},
    url = {https://docs.ece.iiasa.ac.at/iamc.html},
    author = {International institute for Applied Systems Analysis},
    year = {2024},
    note = {Accessed on July 15, 2024}
}

@article{Huppmann2021,
   abstract = {<p>The open-source Python package pyam provides a suite of features and methods for the analysis, validation and visualization of reference data and scenario results generated by integrated assessment models, macro-energy tools and other frameworks in the domain of energy transition, climate change mitigation and sustainable development. It bridges the gap between scenario processing and visualisation solutions that are "hard-wired" to specific modelling frameworks and generic data analysis or plotting packages.</p>},
   author = {Daniel Huppmann and Matthew J. Gidden and Zebedee Nicholls and Jonas Hörsch and Robin Lamboll and Paul N. Kishimoto and Thorsten Burandt and Oliver Fricko and Edward Byers and Jarmo Kikstra and Maarten Brinkerink and Maik Budzinski and Florian Maczek and Sebastian Zwickl-Bernhard and Lara Welder and Erik Francisco Álvarez Quispe and Christopher J. Smith},
   doi = {10.12688/openreseurope.13633.2},
   issn = {2732-5121},
   journal = {Open Research Europe},
   month = {9},
   pages = {74},
   title = {pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios},
   volume = {1},
   year = {2021},
}

@article{Wilkinson2016,
   abstract = {There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.},
   author = {Mark D. Wilkinson and Michel Dumontier and IJsbrand Jan Aalbersberg and Gabrielle Appleton and Myles Axton and Arie Baak and Niklas Blomberg and Jan Willem Boiten and Luiz Bonino da Silva Santos and Philip E. Bourne and Jildau Bouwman and Anthony J. Brookes and Tim Clark and Mercè Crosas and Ingrid Dillo and Olivier Dumon and Scott Edmunds and Chris T. Evelo and Richard Finkers and Alejandra Gonzalez-Beltran and Alasdair J.G. Gray and Paul Groth and Carole Goble and Jeffrey S. Grethe and Jaap Heringa and Peter A.C. t Hoen and Rob Hooft and Tobias Kuhn and Ruben Kok and Joost Kok and Scott J. Lusher and Maryann E. Martone and Albert Mons and Abel L. Packer and Bengt Persson and Philippe Rocca-Serra and Marco Roos and Rene van Schaik and Susanna Assunta Sansone and Erik Schultes and Thierry Sengstag and Ted Slater and George Strawn and Morris A. Swertz and Mark Thompson and Johan Van Der Lei and Erik Van Mulligen and Jan Velterop and Andra Waagmeester and Peter Wittenburg and Katherine Wolstencroft and Jun Zhao and Barend Mons},
   doi = {10.1038/sdata.2016.18},
   issn = {20524463},
   journal = {Scientific Data},
   month = {3},
   pmid = {26978244},
   publisher = {Nature Publishing Groups},
   title = {Comment: The FAIR Guiding Principles for scientific data management and stewardship},
   volume = {3},
   year = {2016},
}

@article{Lin2020,
   author = {Dawei Lin and Jonathan Crabtree and Ingrid Dillo and Robert R. Downs and Rorie Edmunds and David Giaretta and Marisa De Giusti and Hervé L’Hours and Wim Hugo and Reyna Jenkyns and Varsha Khodiyar and Maryann E. Martone and Mustapha Mokrane and Vivek Navale and Jonathan Petters and Barbara Sierman and Dina V. Sokolova and Martina Stockhause and John Westbrook},
   doi = {10.1038/s41597-020-0486-7},
   issn = {20524463},
   issue = {1},
   journal = {Scientific Data},
   month = {12},
   pmid = {32409645},
   publisher = {Nature Research},
   title = {The TRUST Principles for digital repositories},
   volume = {7},
   year = {2020},
}

@article{Claudia2024,
   author = {Clàudia Rodés-Bachs and Jon Sampedro and Russell Horowitz and Dirk-Jan Van de Ven and Ryna Yiyun Cui and Alicia Zhao and Matthew Zwerling and Zarrar Khan},
   doi = {10.21105/joss.05975},
   issue = {96},
   journal = {Journal of Open Source Software},
   month = {4},
   pages = {5975},
   publisher = {The Open Journal},
   title = {gcamreport: An R tool to process and standardize GCAM outputs},
   volume = {9},
   year = {2024},
}

@article{Sarofim2011,
   abstract = {Climate change studies are often interdisciplinary by nature, incorporating many domains of science, economics, and political theory. Integrated assessment (IA) aims to bring diverse scientific, economics and social science expertise together to provide analysis and advice that comprehensively addresses all or at least many aspects of the climate change issue. IA methods have been applied to many areas of climate change providing insights into areas such as optimal timing of emission reductions, weighting of different greenhouse gases, or impacts of biofuel policies. Additionally, IAs have identified key uncertainties that should be priorities of future research, such as the need to understand oceanic heat uptake in order to better constrain climate sensitivity and predict future timing of temperature change. These assessments have also served to establish ongoing communication within the community of researchers, and between researchers and policy makers. In complex scientific issues it is often difficult for policy makers and the public to sort out conflicting scientific views, and an authoritative assessment process can provide consensus views on the issue, accepting that in some cases the "consensus" may be that some aspects of the issue remain unresolved. This review explores the history and applications of these IAs, and identifies avenues for future emphasis. We briefly review the whole field of IAs of climate change, but focus on the role of formal computational frameworks in IA models. © 2010 John Wiley & Sons, Ltd.},
   author = {Marcus C. Sarofim and John M. Reilly},
   doi = {10.1002/wcc.93},
   issn = {17577799},
   issue = {1},
   journal = {Wiley Interdisciplinary Reviews: Climate Change},
   pages = {27-44},
   publisher = {Wiley-Blackwell},
   title = {Applications of integrated assessment modeling to climate change},
   volume = {2},
   year = {2011},
}

@article{Wilson2021,
   abstract = {Process-based integrated assessment models (IAMs) project long-term transformation pathways in energy and land-use systems under what-if assumptions. IAM evaluation is necessary to improve the models’ usefulness as scientific tools applicable in the complex and contested domain of climate change mitigation. We contribute the first comprehensive synthesis of process-based IAM evaluation research, drawing on a wide range of examples across six different evaluation methods including historical simulations, stylised facts, and model diagnostics. For each evaluation method, we identify progress and milestones to date, and draw out lessons learnt as well as challenges remaining. We find that each evaluation method has distinctive strengths, as well as constraints on its application. We use these insights to propose a systematic evaluation framework combining multiple methods to establish the appropriateness, interpretability, credibility, and relevance of process-based IAMs as useful scientific tools for informing climate policy. We also set out a programme of evaluation research to be mainstreamed both within and outside the IAM community.},
   author = {Charlie Wilson and Céline Guivarch and Elmar Kriegler and Bas van Ruijven and Detlef P. van Vuuren and Volker Krey and Valeria Jana Schwanitz and Erica L. Thompson},
   doi = {10.1007/s10584-021-03099-9},
   issn = {15731480},
   issue = {1-2},
   journal = {Climatic Change},
   keywords = {Climate mitigation,Evaluation,IAM,Process-based integrated assessment model},
   month = {5},
   publisher = {Springer Science and Business Media B.V.},
   title = {Evaluating process-based integrated assessment models of climate change mitigation},
   volume = {166},
   year = {2021},
}

@misc{EdNature2015,
   doi = {10.1038/NCLIMATE2526},
   issn = {17586798},
   issue = {2},
   journal = {Nature Climate Change},
   pages = {81},
   publisher = {Nature Research},
   title = {IAM helpful or not?},
   volume = {5},
   year = {2015},
}


@article{Nikas2021,
   abstract = {Europe's capacity to explore the envisaged pathways that achieve its near- and long-term energy and climate objectives needs to be significantly enhanced. In this perspective, we discuss how this capacity is supported by energy and climate-economy models, and how international modelling teams are organised within structured communication channels and consortia as well as coordinate multi-model analyses to provide robust scientific evidence. Noting the lack of such a dedicated channel for the highly active yet currently fragmented European modelling landscape, we highlight the importance of transparency of modelling capabilities and processes, harmonisation of modelling parameters, disclosure of input and output datasets, interlinkages among models of different geographic granularity, and employment of models that transcend the highly harmonised core of tools used in model inter-comparisons. Finally, drawing from the COVID-19 pandemic, we discuss the need to expand the modelling comfort zone, by exploring extreme scenarios, disruptive innovations, and questions that transcend the energy and climate goals across the sustainability spectrum. A comprehensive and comprehensible multi-model framework offers a real example of “collective” science diplomacy, as an instrument to further support the ambitious goals of the EU Green Deal, in compliance with the EU claim to responsible research.},
   author = {A. Nikas and A. Gambhir and E. Trutnevyte and K. Koasidis and H. Lund and J. Z. Thellufsen and D. Mayer and G. Zachmann and L. J. Miguel and N. Ferreras-Alonso and I. Sognnaes and G. P. Peters and E. Colombo and M. Howells and A. Hawkes and M. van den Broek and D. J. Van de Ven and M. Gonzalez-Eguino and A. Flamos and H. Doukas},
   doi = {10.1016/j.energy.2020.119153},
   issn = {03605442},
   journal = {Energy},
   keywords = {Climate policy,Energy,Europe,Model inter-comparisons,Modelling,Science diplomacy},
   month = {1},
   publisher = {Elsevier Ltd},
   title = {Perspective of comprehensive and comprehensible multi-model energy and climate science in Europe},
   volume = {215},
   year = {2021},
}

@article{Filho2023,
   abstract = {Universities have an unrivaled potential to educate students on climate change issues and to actively engage them in climate affairs, both as citizens and influencers of future professions. Despite this potential and the many advantages of university student engagement in climate change, less emphasis has been given to understanding their attitude and perceptions towards climate change, in a way that may guide changes in the curriculum and teaching practices. Based on the need to address the existing literature gap, this article assesses university students’ attitudes and perceptions toward climate change at the international level. This study comprises a survey of a sample of universities across the world and uses statistical analysis to identify the most important trends across geographical locations of the universities. The study revealed that university students are aware of climate change and associated risks. The university students believe that climate change education is a means to shape their attitude and equip them with relevant skills and knowledge so as to influent others. The awareness of university students is inextricably linked to their field of study and participation in various climate change events. Furthermore, the student's knowledge of climate change risks varies across gender, age, and academic education. The study provides recommended universities to include climate change issues in their curricular and extracurricular programs so as to prepare future professionals to cope with the far reaching challenges of a climate change.},
   author = {Walter Leal Filho and Desalegn Yayeh Ayal and Tony Wall and Chris Shiel and Arminda Paco and Paul Pace and Mark Mifsud and Amanda Lange Salvia and Antonis Skouloudis and Sara Moggi and Todd LeVasseur and Garcia Vinuesa Antonio and Ulisses M. Azeiteiro and Nikolaou Ioannis and Marina Kovaleva},
   doi = {10.1016/j.crm.2023.100486},
   issn = {22120963},
   journal = {Climate Risk Management},
   keywords = {Attitude,Climate change,Curriculum,Education,Perceptions,Students,Universities},
   month = {1},
   publisher = {Elsevier B.V.},
   title = {An assessment of attitudes and perceptions of international university students on climate change},
   volume = {39},
   year = {2023},
}

@article{capellan2020,
   abstract = {A diversity of integrated assessment models (IAMs) coexists due to the different approaches developed to deal with the complex interactions, high uncertainties and knowledge gaps within the environment and human societies. This paper describes the open-source MEDEAS modeling framework, which has been developed with the aim of informing decision-making to achieve the transition to sustainable energy systems with a focus on biophysical, economic, social and technological restrictions and tackling some of the limitations identified in the current IAMs. MEDEAS models include the following relevant characteristics: Representation of biophysical constraints to energy availability; modeling of the mineral and energy investments for the energy transition, allowing a dynamic assessment of the potential mineral scarcities and computation of the net energy available to society; consistent representation of climate change damages with climate assessments by natural scientists; integration of detailed sectoral economic structure (input-output analysis) within a system dynamics approach; energy shifts driven by physical scarcity; and a rich set of socioeconomic and environmental impact indicators. The potentialities and novel insights that this framework brings are illustrated by the simulation of four variants of current trends with the MEDEAS-world model: The consideration of alternative plausible assumptions and methods, combined with the feedback-rich structure of the model, reveal dynamics and implications absent in classical models. Our results suggest that the continuation of current trends will drive significant biophysical scarcities and impacts which will most likely derive in regionalization (priority to security concerns and trade barriers), conflict, and ultimately, a severe global crisis which may lead to the collapse of our modern civilization. Despite depicting a much more worrying future than conventional projections of current trends, we however believe it is a more realistic counterfactual scenario that will allow the design of improved alternative sustainable pathways in future work.},
   author = {Iñigo Capellán-Pérez and Ignacio De Blas and Jaime Nieto and Carlos De Castro and Luis Javier Miguel and Óscar Carpintero and Margarita Mediavilla and Luis Fernando Lobejón and Noelia Ferreras-Alonso and Paula Rodrigo and Fernando Frechoso and David Álvarez-Antelo},
   doi = {10.1039/c9ee02627d},
   issn = {17545706},
   issue = {3},
   journal = {Energy and Environmental Science},
   month = {3},
   pages = {986-1017},
   publisher = {Royal Society of Chemistry},
   title = {MEDEAS: A new modeling framework integrating global biophysical and socioeconomic constraints},
   volume = {13},
   year = {2020},
}