*Full article is in SpanishEnglish Abstract:At the RISC 2017 International Congress, we reflected on the possibility of achieving a “sustainable, integral and coherent development.” We primarily report here on the panel of Mexican experts who shared their experiences on issues such as the impact of the international agenda on the local policy priorities, the relevance of the participation of local stakeholders and the occurrence of inconsistencies throughout the process of design and implementation of development policies. In addition, other experiences were presented on these issues, some of which are included in this special issue. The general conclusion was that not only is it possible to articulate a sustainable, integral and coherent development but also that approaches and tools are already emerging that favor it through an evidence-based policy management and the use of the growing “environmental big data” that already exists.Spanish Abstract: En el Congreso internacional RISC 2017 se reflexionó sobre la posibilidad de lograr un “desarrollo sostenible, integral y coherente”. En este artículo nos referimos principalmente al panel de expertos mexicanos que compartieron sus experiencias con nosotros sobre asuntos como el impacto de la agenda internacional sobre la local, la relevancia de la participación de los actores locales y la ocurrencia de incoherencias a lo largo del proceso de diseño y aplicación de las políticas para el desarrollo. Además, se expusieron otras experiencias sobre estos asuntos, que han sido recogidas en este número especial. La conclusión general es que se estima que no sólo es posible articular un desarrollo sostenible, integral y coherente, sino que están emergiendo enfoques y herramientas que favorecen propiciarlo a través de la gestión basada en evidencia y el aprovechamiento del creciente “big data ambiental” que ya está existe.French Abstract:Lors du congrès international Consortium pour la Recherche comparative sur l’intégration régionale et la cohésion sociale (RISC) 2017, organisé en coopération avec le programme d’innovation pour l’intégrité dans la gestion de l’environnement pour le développement et soutenu par des données massives (big data) et un apprentissage automatisé (i-Gamma), nous avons réfléchi à la possibilité de parvenir à un “développement durable, intégral et cohérent”. L’événement a ouvert de multiples opportunités de discussions sur le sujet, mais cette introduction est basée sur le panel d’experts mexicains qui ont partagé leurs expériences avec nous sur des questions telles que l’impact de l’agenda international à l’échelle locale, la pertinence de la participation des acteurs locaux et le surgissement d’incohérences tout au long du processus de conception et de mise en oeuvre des politiques de développement. Nous ferons également référence à d’autres expériences présentées autour de ces questions, en mettant l’accent sur les contributions de ce numéro spécial. En conclusion générale, nous pensons qu’il n’est pas seulement possible d’articuler un développement de manière durable, intégrale et cohérente, mais que des approches et des outils sont déjà en train d’émerger et favorisent une gestion fondée sur des données probantes et l’utilisation des « données environnementales à grande échelle » déjà existantes.
Floating treatment wetlands (FTW) are artificial structures used for water quality improvement through the hydroponic growth of certain macrophytes and their rhizospheric bacteria, with the capacity for pollutant removal. Through the application of face-to-face questionnaires, our study aimed to analyze visitors’ perception of the structure, functionality, and benefits of FTW installed in two ponds of one green space in Xalapa, Veracruz, Mexico, and the emotional experience that these FTW could incite in those same visitors. Visitors identified the plant component of FTW as the most noticeable one, perceived filtering/cleaning water as their principal function, and reported positive and negative emotions in the same proportion. The visitors’ perceptions of FTW varied according to their age, school level, and occupation. Positive and negative perceptions regarding FTW were linked to their maintenance and that of the ponds. Visitors’ awareness of FTW composition and function was associated with the presence of informative signs. The understanding of perception about the FTW can be integrated into management programs for the successful and participative improvement and cleaning of water bodies in urban settings. Along with people’s participation, the municipality of the city must improve the maintenance of these important water bodies given its positive repercussions on visitors’ perception.
This paper presents a corpus of pre-processed Mexican laws for computational tasks. The main contributions are the proposed JSON structure and the methodology used to achieve the semi-structured corpus with the selected algorithms. Law PDF documents were transformed into plain text, unified by a deconstruction of law–document structure, and labeled with natural language processing techniques considering part of speech (PoS); a process of entity extraction was also performed. The corpus includes the Mexican constitution and the Mexican laws that were collected from the official site in PDF format repealed before 14 October 2021. The collection has 305 documents, including: the Mexican constitution, 289 laws, 8 federal codes, 3 regulations, 2 statutes, 1 decree, and 1 ordinance. The semi-structured database includes the transformation of the set of laws from PDF format to a digital representation in order to facilitate its computational analysis. The documents were migrated to JSON type files to represent internal hierarchical relations. In addition, basic natural language processing techniques were implemented on laws for the identification of part of speech and named entities. The presented data set is mainly useful for text analysis and data science. It could be used for various legislative analysis tasks including: comprehension, interpretation, translation, classification, accessibility, coherence, and searches. Finally, we present some statistic of the identified entities and an example of the usefulness of the corpus for environmental laws.
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