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Power Sharing Measures: Can Tools Used to Secure Negative Peace Help to Foster Positive Peace?
No full textWednesday, October 29, 2025 | 03:30 pm
335 Ortega Hall
What Settlements that call for warring parties to share power in the aftermath of a civil war have become, until recently, the most common means of ending a civil war. Skepticism regarding these agreements ranges from questions about their ability to help stop the killing – i.e., to secure a negative peace – to their effects on the quality of the peace in the aftermath of a civil war. This lecture will engage with power-sharing settlements’ effects on both negative and positive peace by focusing on the duration of the peace, post-conflict democracy, and women’s political empowerment following civil wars. Claims regarding the utility of power-sharing settlements as a means of ending civil wars are based on analyses of cross-national observational data, experimental data, and fieldwork in Colombia, Nepal, and the Philippines.
Dr. Hartzell\u27s research focuses on cross-national civil war settlements and the effects institutions, both domestic and international, have on social conflict. She has published numerous journal articles on the effects that power-sharing settlements of civil wars have on the duration and quality of the peace, as well as co-authored and co-edited books on those topics. She is currently engaged in the use of survey research and experiments that explore the role that citizens play in peace processes. Professor Hartzell is the founder, along with Felix Haass and Martin Ottmann, of the network Citizens in Peace Processes.https://digitalrepository.unm.edu/laii_events/1495/thumbnail.jp
Revitalizing Rural Grocery Stores in Northern New Mexico: A Community Handbook
No full textRural grocery stores are cornerstone institutions that are central to the health and well-being of their communities - not only providing food, but also serving as spaces of economic development, cultural and historic preservation, social connection, and resilience. In response to the loss of many rural stores over recent decades, the ‘Revitalizing Rural Grocery Stores in Northern New Mexico’ handbook brings together community histories, political analysis, and practical strategies to support their protection and resurgence. The handbook shares findings on the multi-faceted importance of rural grocery stores and the causal factors in their loss; maps and photographs documenting the condition of stores across rural Northern New Mexico; and twelve case studies from active and closed rural grocery stores in Mora, Santa Fe, Taos, San Miguel, and Rio Arriba counties. A toolbox of community organizing, business operations, policy advocacy, and planning and land use strategies that can support a vibrant future for rural stores are provided
Women, Gender & Sexuality Studies 2025 APR Self-Study & Documents
No full textUNM Women, Gender & Sexuality Studies APR self-study report, review team report, response report, and initial action plan for Spring 2025, fulfilling requirements of the Higher Learning Commission
Artificial Intelligence for SMEs in the Dominican Republic: A Strategic Neutrosophic PEST-SWOT Analysis to Navigate Uncertainty
No full textThis study examines the adoption of Artificial Intelligence (AI) in Dominican Republic SMEs through a PESTLE-neutrosophic analysis. PESTLE stands for Political, Economic, Social, Technological, Legal and Environmental factors. Neutrosophic is the Philosophy of Indeterminacy. Therefore, we focus on the factors relative to AI adoption in the Dominican Republic—specifiers to the benefits and drawbacks, as well as, the unknowns of operating with AI—with the intention of illuminating attention. The findings support a phased approach for SMEs to view indeterminacy as an opportunity for competitive advantage through improved operational efficiencies, enhanced customer experience, and more informed decision-making. Ultimately, the results position AI as a necessity for competitive advantage over time in ever-compounding micro and macro environments, corroborated by recent studies surrounding the Dominican Republic ecosystem
Neutrosophic Statistical Analysis of Temperature and Precipitation Variability over Four Decades in the City of Pucallpa, Peru
No full textThis study analyses the spatiotemporal variation of temperature and rainfall in Pucallpa (1984-2024) and its relationship with El Niño and La Niña phenomena and urban expansion. Monthly meteorological data from the UNU-SENAMHI station, weather, ENSO indices, and Landsat imagery were used to calculate the Normalized Difference Vegetation Index (NDVI) as an indicator of vegetation cover. Missing data were processed through interpolation, and linear regression analysis, the Mann-Kendall test, and Spearman correlation adapted to interval-valued data were applied to evaluate trends and statistical associations. Our findings highlight the combined influence of global climatic factors and local transformations on the microclimate of Pucallpa. To reach our conclusions, we used Neutrosophic Statistics as a study tool. This theory extends classical statistics when there are interval-based data or parameters, or when the population size is imprecise. Neutrosophic Statistics can improve accuracy by capturing the indeterminacies that exist in measurements. This tool allows us to assess changes in temperature and precipitation during the year, which are not homogeneous throughout the region. Specifically, we use intervals of maximum and minimum temperatures during the month
Between Excellence and Sustainability: A Critical and Bibliometric Review with a Neutrosophic Approach to Academic Quality and Financial Health in Chilean Higher Education
No full textThis article develops a critical and bibliometric review of academic quality and financial health in Chilean higher education, within socio-academic contexts in which current Latin American social problems simultaneously jeopardize equitable access, institutional sustainability, and quality standards. The review covers 63 documents indexed in international databases between 2010 and 2025, systematized under a neutrosophic stance detection methodology. The results highlight the risks of high tuition dependence, the positive effects of income diversification, and the relevance of governance, retention, and faculty profiles for financial and academic sustainability. In addition, demographic decline and increased competition emerge as contextual threats. The study integrates neutrosophic triplets (T, I, F) to quantify the degree of consensus, indeterminacy, and contradiction across the literature. The conclusions of the literature review are coherent and consistent with the results of stance detection, which provides validation and formalization of the patterns that already emerged in the state of the art
A Neutrosophic Random Forest Approach for Preeclamptic Risk Prediction with Uncertainty Quantification
No full textThis study presents a novel integration of Random Forest with neutrosophic logic to improve preeclampsia risk prediction while quantifying prediction uncertainty. Using clinical data from 352 patients, the model achieved 72.73% accuracy with high sensitivity (0.898) in identifying control cases, though with lower specificity (0.235) for preeclampsia detection. Key predictors identified were birthweight and hypertension his- tory, aligning with clinical knowledge. The neutrosophic framework successfully categorized predictions into truth (T), indeterminacy (I), and falsity (F) components, revealing that 90% confidence predictions showed T = 0.9 while uncertain cases (0.5 ≤ p \u3c 0.9) demonstrated elevated indeterminacy (I = 0.3). The main contributions include: 1) an interpretable uncertainty quantification method for clinical predictions, 2) validation of key risk factors through feature importance analysis, and 3) a practical framework for identifying cases requiring additional clinical evaluation. This approach demonstrates significant potential for enhancing decision-making in maternal healthcare
