Andrijevic, M., Zimm, C., Moyer, J.D., Muttarak, R., et al. (2025, February 4). Representing gender inequality in scenarios improves understanding of climate challenges. Nature Climate Change. 15, 138–146. https://doi.org/10.1038/s41558-024-02242-5

Achieving gender equality can increase societies’ capacities to deal with climate change. Here we highlight empirical connections between gender equality and climate change adaptation and mitigation to propose a structured and detailed inclusion of gender-related aspects in the Shared Socioeconomic Pathway framework. The introduction of hypothetical pathways of gender (in)equality in the scenario space can help analyse interactions with other socioeconomic drivers and subsequent implications for adaptation and mitigation options. The extent of challenges to climate change adaptation and mitigation may substantially change depending on the rate at which societies progress towards equal access to resources and opportunities for self-realization for all genders. We propose steps that the scenario community could take to enrich the next generation of socioeconomic pathways.

Solórzano, J., Hughes, B., Irfan, M., Xiong, Y., Kwasi, S., Ibrahim, A., Makhamatova, S., Hanna, T., Moyer, J. (2024, December 20). Protocol for making forecasts exogenous in the International Futures model. One Earth. https://doi.org/10.1016/j.xpro.2024.103414

Understanding future dynamics and trends in human and natural development is foundational for creating appropriate policy strategies to address planetary and development challenges. Here, we present a protocol for adding exogenous series for key variables, such as the shared socioeconomic pathways, to the database of the International Futures (IFs) integrated model. We describe steps for installing IFs and the SQLiteStudio software, understanding the IFs database, importing series, running the model, and extracting results.
For complete details on the use and execution of this protocol, please refer to Moyer.

Moyer, J., Sahadevan, D. (2024, December). Navigating the future: Four scenarios assessing child well-being in the twenty-first century. UNICEF. https://www.unicef.org/innocenti/media/10201/file/UNICEF-Innocenti-Navigate-Future-Report-2024.pdf

As we move through the twenty-first century, humanity faces a complex array of challenges. These mutually reinforcing issues include climate change and geopolitical instability, as well as persistent socioeconomic disparities that have profound implications for children’s well-being. At such a critical crossroads, policy choices we make today will determine the welfare of future generations. In their interest, addressing this complex web of collective action problems demands a broad-based, integrated analysis focused on comprehensive and equitable solutions.

Carbon bargain: The energy transition will be much cheaper than you think. (2024, November 16). The Economist.

Abidoye, B., Banda, A., Baumwoll, J., Carman, R., Moz-Christofoletti, M., Orlic, E., Patterson, L. (2024). Advancing the SDG Push with equitable low-carbon pathways. UNDP. https://www.undp.org/publications/advancing-sdg-push-equitable-low-carbon-pathways

The ‘SDG Push x NDC 3.0’ research, a collaboration between UNDP and the Frederick S. Pardee Center, outlines a framework for a fair, low-carbon energy transition that considers the needs of both wealthy and lower-income nations. The report updates the second flagship publication, Leaving No One Behind: Impact of COVID-19 on the Sustainable Development Goals (SDGs), examining an integrated set of policy strategies that accelerates climate actions while promoting human development. By supporting equitable access to energy, green investments, and digital infrastructure, it aims to foster inclusive, sustainable growth and align with the Paris Agreement targets.

The research finds that an additional 60 million people could be lifted from poverty by 2030, and upwards of 175 million people by 2050, through these ambitious, yet feasible policy choices. In addition, nine out of ten low-human development countries could make significant strides towards improving their current development outcomes by 2050 while carbon emissions are reduced by two-thirds by 2050.

Annual Update for the Pardee Institute for International Futures, 2023-2024.

The International Futures (IFs) forecasting system is central to much of the Pardee Institute’s work, constantly helping us to understand, explore, and communicate the complex reality in which we live and the alternative futures that might be brought into being. Over the past year, main thrusts of model development included: (1) strengthening the model’s representation of global crises (in this case, the COVID-19 pandemic); (2) enhancing analysis of progress toward the Sustainable Development Goals (SDGs); (3) improving our ability to analyze the pursuit of food security; (4) supporting data initialization; and (5) continuing to improve its User Interface.

Meisel, C., Moyer, J. D., Matthews, A. S., Kaplan, O., Byrnes, R., Benjumea, K., Cribb, P., & Van Son, C. (2024, August 20). Bearing witness: Introducing the Perceived Mass Atrocities Dataset (PMAD). Journal of Peace Research. https://doi.org/10.1177/00223433241249333

Led by Pardee's Associate Director of Geopolitical Analysis, Collin Meisel, and commissioned by the US State Department to support the Elie Weisel Act, this coding framework is a prime example of the Institute's goal to bridge the gap between academic work and policy-making communities. Congratulations to all of the hard-working Korbel students who contributed to this impressive research and all the co-authors on this outstanding accomplishment.

Abstract:

The risk factors and consequences of atrocities are deeply interconnected with questions of intra- and interstate stability and conflict, economic development, colonialism, and gender equality, as well as atrocity crime monitoring and prevention. However, there is no globally comparable measure of lethal and less-lethal atrocities. The Perceived Mass Atrocities Dataset (PMAD) is a country-year measure of atrocities with accompanying narratives. Built to support the US Congress’s Elie Wiesel Genocide and Atrocities Prevention Act of 2018, PMAD enables the systematic comparison of the occurrence and magnitude of seven atrocity types, in addition to group-perpetrated violence against women and LGBTQIA+ groups, with aggregate atrocities indices for 196 countries from 2018 to 2022. PMAD offers a foundation for quantitative studies of atrocities as well as more qualitative, process-focused research of lethal and less-lethal violence with its single, divisible framework. The PMAD data highlight several regions where analysis of atrocities using data on only lethal atrocities would be inadequate, especially Central and Eastern Asia. The data can also facilitate research into the relationships between mass atrocities and gender discrimination, neopatrimonialism, and political polarization.

Sweijs, T., & Michaels, J. (2024, July). "Forecasting the future of war" in Beyond Ukraine: Debating the future of war. (pp. 287–303). Oxford University Press.

Turner, S., Neill, C., Hughes, B.B., Narayan, K. (2024, June 6). Guide to scenario analysis in International Futures (IFs). Frederick S. Pardee Institute for International Futures.

The purpose of this document is to facilitate the development of scenarios with the International Futures (IFs) system. This document supplements the IFs Training Manual. That manual provides a general introduction to IFs and assistance with the use of the interface (e.g., how do I create a graphic?). In turn, the broader Help system of IFs supplements this manual. It provides detailed information on the structure of IFs, including the underlying equations in the model (e.g., what does the economic production function look like?).

This document should help users understand the leverage points that are available to change parameters (and in a few cases even equations) and create alternative scenarios relative to the Base Case scenario of IFs (e.g., how do I decrease fertility rates or increase agricultural production?). It proceeds across the modules of IFs, such as demographic, economic, energy, health, and infrastructure, to (1) identify some of the key variables that you might want to influence to build scenarios and (2) the parameters that you will want to manipulate to affect your variables of interest. The Training Manual will help you actually make the parameter changes in the computer program and the Help system will facilitate your understanding of the structures, equations and algorithms that constitute the model. We begin by introducing the types of parameters within IFs and then proceed to a discussion of variables and parameters within each of the IFs modules.