Conference Agenda

Nowadays, one of the most critical problems in Peru is crime and citizen insecurity. Part of this problem is due to a precarious assignment of security agents in geographic strategical zones at the right time. Furthermore, there is a lack of knowledge by the part of community members about certain existing patterns in crime. A large amount of data with geographic information, type of crime, time and other more meaningful variables is available to use. For this reason, the present research project is about a methodology using optimization models, machine learning and forecasting techniques to reduce these crime rates through the development of clusters that will allow us to identify the areas with the greatest confluence of crimes. A predictive spatial time model fed with data in real time will map the areas of high risk at a certain future point in the time. This model will be linked to an optimization model for assigning security agents to optimize and minimize the frequency of crimes and the existing citizen insecurity

The circular economy is a key approach to industrial sustainability, promoting the reduction of natural resource consumption, waste minimization, and recycling. Its implementation transforms traditional production and consumption models into more efficient and responsible systems. This study analyzes methodologies and tools for applying the circular economy, with a particular focus on its integration into the early stages of product development. Research in this field has grown exponentially, with a significant increase in publications in 2023 and 2024. Brazil and Italy stand out as the main contributors, reflecting global interest in adopting circular strategies across various industrial sectors. The findings highlight that the circular economy optimizes material use, promotes sustainable consumption models, and reduces large-scale resource extraction. Its application not only decreases waste but also enables the design of longer-lasting products, mitigating environmental issues such as climate change and biodiversity loss. One of the most environmentally impactful sectors is the textile industry, driven by fast fashion, which is characterized by high consumption of water, land, and chemicals. The circular economy emerges as an alternative to mitigate these effects through sustainable strategies in design, manufacturing, and recycling, fostering a more responsable production system.

Este estudio examina la relación entre el gasto corriente en educación, el capital humano y el crecimiento económico en el Triángulo Norte de Centroamérica en el período que va desde 1992 a 2021. Utilizando un modelo de datos de panel de efectos fijos con correcciones de autocorrelación y heterocedasticidad, los resultados revelan un impacto positivo y significativo del gasto corriente en educación sobre el PIB per cápita. De manera similar, se encontró que la matrícula en educación superior usado como proxi del capital humano, influye positivamente el crecimiento económico de los tres países. Estos hallazgos subrayan la importancia de invertir en educación como motor del crecimiento económico sostenible en la región. Aunque el estudio enfrentó limitaciones de datos, los resultados ofrecen información valiosa para la formulación de políticas, enfatizando la necesidad de priorizar la inversión educativa y mejorar el acceso a la educación superior. Las investigaciones futuras deberían explorar variables adicionales, como indicadores de innovación y calidad de la educación, para comprender mejor los factores que influyen en el desarrollo económico en Centroamérica.

In this research, bibliometric techniques are used to review literature dimensions related to collaborative value creation (CVC) in multisectoral partnerships. 31 index articles published between 2018 and 2021 were reviewed to present a descripted qualitative analysis, extracting some attributes of each one and focusing on the main dimensions of CVC and the theories used in each article. During the review we conclude that the four main and recurrent dimensions of CVC in multisectoral partnerships are: business commitment, dynamic of the partnership, impact, resources, and activities. All of those are congruent with the CVC framework and have a social development perspective.

Keywords: Partnerships, cooperation, social development, value, multisectoral

This research examines the interrelation between social, economic, and environmental factors in Peruvian mining exports from 2007-2022. Data on mining exports, socio-environmental conflicts, mining investment, and sector GDP were analyzed using a multiple linear regression model. The results reveal three main findings: (1) there is a strong correlation between the studied variables (R² = 0.967, p < 0.001), where socioeconomic factors exert greater influence than direct investments; (2) a significant inverse relationship was identified between social conflicts and exports (β = -472.363, p = 0.001), quantifying losses of approximately US$ 472 million for each additional conflict; and (3) a non-significant impact of mining investment was found (β = 0.157, p = 0.581), suggesting a disconnect between investment efforts and export outcomes. These findings underscore the need to develop new social management frameworks, implement more efficient investment mechanisms, and strengthen coordination between public and private actors to optimize the development of the Peruvian mining sector.

The urbanization process has an impact on the inadequate disposal of construction and demolition waste (CDW), which impacts the reproductive capacity of soils because they are one of the main causes of degradation and contamination of this resource. For this reason, the present study aimed to determine the contribution of CDW, supplied by Construcciones Ecológicas, whose scope is all of Metropolitan Lima, for the elaboration of a technosol; assessing its quality through physicochemical parameters and analyzing the most efficient dose for the growth of hybrid corn under controlled conditions. The results of the characterization of the technosols for each of the three treatments (T) T1, T2 and T3 showed that the greater the CDW in its composition, the greater the number of carbonates, CEC and phosphorus; in addition, it has a basic pH and a higher apparent density. Thus, the selected treatment for dosage was T3, where physicial indicators of hybrid maize growth were assessed using different doses (D) of 3.33%, 6.67% and 10% (w/w) (D1, D2 and D3). The results showed that D2 had the highest values for PHPA, AP, PSR, and TR. Therefore, the study concludes that the technosol formulated with CDW provides favorable conditions for root size when 45% of CDW is included in its composition and applied at a dosage of 6.67% (w/w).