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Permanent URI for this collectionhttps://hdl.handle.net/11285/345284
Artículo científico o editorial en una publicación periódica académica sujeto a revisión de pares. Cumple con los índices internacionales o bases de datos de amplia cobertura, como el listado del Current Contents, ISI WEB of Knowledge (http://isiknowledge.com/) e índice de revistas mexicanas de CONACYT (www.conacyt.mx/dac/revistas). Éstos indizan y resumen los artículos de revistas seleccionadas, en todas las áreas del saber.
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- Driving complex thinking and technological entrepreneurship with artificial intelligence: a mixed methods study.(Elsevier, 2025-09) Álvarez Icaza Longoria, Inés; Martínez Arboleda, Antonio; Miranda Mendoza, Jhonattan; Suárez Brito, Paloma; Ramírez Montoya, María Soledad; Tecnológico de Monterrey; Xiaoyang ZhouAI technologies offer unique capabilities that enhance collaboration and creativity among students by providing novel insights, generating diverse perspectives, and triggering the development of innovative thinking as a sub-competency of the mega-competency of complex thinking. Regarding entrepreneurial skills development, applying AI-powered tools, such as natural language processing on digital educational platforms, allows student to engage in dynamic ideation processes for entrepreneurial projects with social, technological, and scientific approaches. This article explores the application of artificial intelligence (AI) as a valuable resource for fostering creative idea generation within co-creation strategies for university students. In a mixed-method analysis, we obtained valuable information regarding engagement through co-creation approaches. This paper describes the early implementation stages of the introductory course in technological entrepreneurship, applying the educational platform OpenEdR4C in a hybrid workshop with a group of 20 students in a public higher education institution in central Mexico, this being the first group of >900 people reached during 2024. The findings show that (a) the students are prone to use and explore AI tools in a natural and immediate manner, (b) interdisciplinary collaboration was effectively promoted through co-creation strategies, and (c) training the tool is crucial to keep engagement and ideas fluency. This is a contribution to the exploration to open new opportunities for interdisciplinary collaboration, experiential learning, and knowledge co-production, ultimately empowering students to develop innovative solutions to complex societal challenges.
- Research foresight in bridging open science and open innovation:overview based on the complex thinking paradigm(Elsevier, 2023-08-06) Sanabria Zepeda, Jorge Carlos; Cruz Sandoval, Marco Antonio; Moreno Romo, Athziri; Bosch Gomez, Sofia; Ramírez Montoya, María Soledad; https://ror.org/03ayjn504Open innovation benefits from access to cutting-edge discoveries to increase their transformation into tangible applications for the benefit of society. Improving research quality has been proposed as a primary objective of open science by the United Nations, to increase science reproducibility, impact, and trust, leading to robust decision-making and policies. However, opening access to data and processes is insufficient for researchers to achieve open innovation in the context of globalization, for example, by gathering insights from external and internal sources. Developing the appropriate mindset to manage complexity and generate synergy among researchers in academia, industry, and the government is essential to catalyze knowledge and transform it into relevant innovations for society. To gain insights into the roles and challenges of researchers aiming to bridge the gap between open science and open innovation, a decade-plus Mapping Literature Review was conducted based on the complex thinking paradigm. Complex thinking allows for novel connections of the information collected through open science and open innovation, considering different forms of engaging with alternative means of knowledge creation that may promote innovative and critical thinking. The findings revealed: a) broad positioning of the terms in the European Union; b) open access and open data as current driving themes; c) a constant trade-off between the terms “open data” and “information protection”; d) lack of studies on researchers’ complex thinking to help them manage openness; e) absence of the environmental helix in the initiatives; and (f) challenges in innovative communication and collaborative practices among public and private entities. Overall, we identified an opportunity to develop researchers’ complex thinking such that the openness of information becomes a shared responsibility among partners across multiple helices. This shared responsibility can have methodological implications that permeate how open science and open innovation are theorized and, in practice, facilitate the development of fundamental collaborative research procedures.