Representation gap for transition factors from social sciences in energy and emissions modeling

Representation gap for transition factors from social sciences in energy and emissions modeling | Research Square Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Representation gap for transition factors from social sciences in energy and emissions modeling Sanni Kunnas, Evelina Trutnevyte This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8832559/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this older preprint version Read the latest preprint version → Show more versions Abstract Policy-relevant assessments of energy and emissions projections in the context of climate change mostly rely on techno-economic modeling. Exploring what drives energy transitions from the perspective of social sciences can help improve the realism and relevance of projections and hence allow to build up the missing evidence base. Here, we review 43 social science theories and identify 24 transition factors that are relevant for energy and emissions projections. We then conduct a semi-systematic, machine-assisted review and derive a representation gap index to quantitatively rank how well these transition factors are covered in social scientific and in modeling literature. We identify which transition factors are not yet sufficiently covered in collaborations between social scientists and modelers and make recommendations for how to proceed. energy system models integrated assessment models techno-economic modeling socio-technical models interdisciplinary collaboration social sciences Full Text Additional Declarations The authors declare no competing interests. Supplementary Files SIKunnasandTrutnevyte2026.pdf Supplementary Information Cite Share Download PDF Status: Posted Version 1 posted You are reading this older preprint version Read the latest preprint version → Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information

Related documents

• Greenhouse gas emissions - Regions#21817
• The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models#370357
• Short-term CO2 emissions forecasting: insight from the Italian electricity market#1076733
• The Neglected Baseline in Model Interpretation#1083098
• Modeling carbon emission from cooking fuels in rural communities: a pathway to low-carbon emission#938785