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At present, there are changes in the environment that favor the presence of extreme climatic phenomena such as floods, this exposure implies that the populations of urban areas suffer effects on their material assets, which limits their capacity for individual and / or family development. Given the lack of local territorial planning, the establishment of colonies was allowed on the banks of the Sabinal river and its tributaries that present episodes of flooding during the rainy season (Sistema Municipal de Protección Civil, 2015).
The study evaluates the habitability conditions of the urban population exposed to flooding, the city of Tuxtla Gutiérrez, Chiapas is taken as a reference, since historically it is a recurring problem during the summer. The methodology interrelates geostatistical, spatial and cartographic databases with hemerographic information sources based on the review of the literature for the construction of the general index, determined in dimensions that group social, economic, educational aspects, availability of basic services, goods with those that count the dwellings and their accessibility, etc., on a geographical scale of Urban Geostatistical Areas (AGEB).
The results obtained generated an index on the distribution of habitability conditions by urban Ageb, they are interrelated with spatial data on floods and their relationship with Sustainable Development Goal 11 (ODS), which proposes to improve infrastructure conditions in cities and towns. sustainable communities so that the inequality originated among the population exposed to future extreme flood events that occur in the different areas that make up the city is reduced.
Habitability conditions floods Sustainable Development Goals urban Ageb city of Tuxtla Gutiérrez, Chiapas AGEB urbana ciudad de Tuxtla Gutiérrez, Chiapas condiciones de habitabilidad inundaciones CIENCIAS SOCIALES CIENCIAS SOCIALES
Olivia Fragoso-Susunaga (2023)
En el 2015, las Naciones Unidas proponen una serie de objetivos dirigidos a convocar a los habitantes del mundo a realizar acciones orientadas a acabar con la pobreza, mejorar las condiciones del planeta y lograr que, para el 2030, todas las personas puedan gozar de paz y bienestar. A estos objetivos se les conoce como los Objetivos de Desarrollo Sostenible (ODS). La educación superior juega un papel fundamental en el logro de los ODS. La UAM y, en el caso que nos compete, el CyAD están llamados a colaborar en esta tarea que nos involucra a todos y todas quienes formamos la comunidad universitaria. Este trabajo es una reflexión sobre la importancia que tiene la formación en activismo artístico en la educación del diseño para el logro de los ODS. Se propone que enfatizar el vínculo entre el diseño y el activismo artístico es parte de un escenario futuro indiscutiblemente necesario en el currículo de licenciatura en el CyAD.
In 2015, the United Nations proposed a series of goals aimed at calling on the world’s inhabitants to take action to end poverty, improve the conditions of the planet and ensure that by 2030 all people can enjoy peace and well-being. These goals are known as the Sustainable Development Goals (SDGs). Higher education plays a fundamental role in the achievement of the SDGs, the UAM and, in the case that concerns us, the CyAD are called to collaborate in this task that involves all of us who form the university community. This work is a reflection on the importance of training in artistic activism in design education for the achievement of the SDGs. It is proposed that emphasizing the link between design and art activism is part of an indisputably necessary future scenario in the undergraduate curriculum at CyAD.
Activismo artístico, educación del diseño, cultura. Artistic activism, design education, culture. Sustainable Development Goals. Art and social action. Education, Higher--Social aspects. Educational change. Artists--Political activity. Universidad Autónoma Metropolitana. Unidad Azcapotzalco. División de Ciencias y Artes para el Diseño. Desarrollo sustentable. Participación social. Cambio educativo. NX180.P64 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS
Very little research has focused on climate impacts on aquaculture and the potential of climate information services (CIS) for aquaculture to support sustainable development goals 2030 (SDGs)1. This study represents an effort to bridge this gap by conducting a first ex-ante economic evaluation of CIS for aquaculture in Bangladesh by semi-automating the extraction of data on climate-induced fish losses during 2011 to 2021 from popular online newspaper articles and corroborating them with available government and satellite datasets. During this period, Bangladesh faced an estimated loss of around 140 million USD for hatcheries, open water fish and shrimp. When validated with a year of country-wide official data on climate-induced economic losses to aquaculture, the damage reported from these media sources is approximately 10 percent of actual losses. Given this rule of thumb, the potential economic value of aquacultural CIS could be up to USD14 million a year, if 10 percent of the damage can be offset by appropriate services through a range of multi-sector efforts to establish and extend these services to farmers at scale.
"The classification of scientific articles aligned to Sustainable Development Goals is crucial for research institutions and universities when assessing their influence in these areas. Machine learning enables the implementation of massive text data classification tasks. The objective of this study is to apply Natural Language Processing techniques to articles from peer-reviewed journals to facilitate their classification according to the 17 Sustainable Development Goals of the 2030 Agenda. This article compares the performance of multi-label text classification models based on a proposed framework with datasets of different characteristics. The results show that the combination of Label Powerset (a transformation method) with Support Vector Machine (a classification algorithm) can achieve an accuracy of up to 87% for an imbalanced dataset, 83% for a dataset with the same number of instances per label, and even 91% for a multiclass dataset."
Classification algorithm, multi-label text classification, problem transformation method, scientific articles, sustainable development goals, text classification INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES LENGUAJES ALGORÍTMICOS LENGUAJES ALGORÍTMICOS