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This paper presents a case study of a school district–university partnership to co-design a Children’s Cabinet, a cross-sector initiative bringing together institutional and community leaders to address youth well-being in the aftermath of the COVID-19 pandemic. In a vibrant, immigrant-serving community in the Northeast United States, the partnership was initiated by district leaders in Spring 2021 after pandemic disruptions led to a youth mental health crisis.

Our descriptive, qualitative case study focuses on the structure and emerging design principles of the research–practice partnership, which established a Children’s Cabinet comprised of educational, government and community leaders along with researchers. From Spring 2021 through Spring 2024, we collected and analyzed member and youth interviews, ethnographic observations and artifacts from all meetings and process interviews with key partners.

We describe the structure of the partnership, including how researchers and district leaders collaborated on meeting facilitation and how researchers conducted and shared applied research. We then discuss three design principles that guided the work, including centering relationships, sustaining focus on key goals and embedding applied research.

As embedded research partners, our team is uniquely situated to narrate the nature and structure of the partnership and reflect on the design of our cross-sector initiative. Increasingly, universities are partnering directly with districts on school improvement initiatives. Our work shows how engaging in RPPs to bring together school, community and research partners can facilitate local leadership and collaboration to address complex, cross-sector goals such as increasing youth well-being.

The nexus of transport and tourism is critical to the 2021 Glasgow Declaration which sets out the net zero by 2050 goal for global tourism in the context of the Paris Agreement. Numerous small and medium-sized urban destinations (SMUDs) populated under one million are constrained by a limited capacity to manage visitor flows and increasing greenhouse gas (GHG) emissions. This paper aims to develop an analytical approach for urban practitioners, based on a case study in Taiwan, to identify the low-emission pathway and strategies for tourism passenger transport.

A GHG emissions assessment and scenario analysis were enabled by historical activity data from official sources and projected scenario data from the International Energy Agency. The scenarios were established based on the avoid-shift-improve framework for low-carbon transport.

To drive tourism passenger transport to a low-emission pathway compatible with the Paris Agreement goal, three low-carbon transport strategies, i.e. “Avoid,” “Shift” and “Improve,” shall be applied all together, with a focus on “improving” the efficiency of heavy-duty vehicles and rail transport. Meanwhile, alternative tourism and integrated transport policy packages could enhance demand-side management of visitors’ mobility, enabling the “avoid” and “shift” strategies.

Unlike most studies that have focused on large cities or small tourist areas, this paper addressed our knowledge gap regarding the low-emission pathway for tourism transport in numerous SMUDs compatible with a 1.5°C world. The proposed analytical approach can help policymakers assess effective strategies toward the targeted pathway.

The study explores the connection between foresight and Artificial Intelligence (AI) methods in a community within an environment of social instability in Colombia. It aims to contribute to research on aligning these methods for future-shaping, with the goal of enhancing shared governance, peer learning and collective learning among traditional decision-makers and local communities in emerging countries. The study seeks to foster a community of social actors who are likely to engage constructively in strategic dialogues. To enhancing shared governance and learning a hybrid model is synthesized, combining foresight and computational intelligence.

The case study explores the integration of computational intelligence and foresight through Gaston Bachelard's (Bachelard, 1936) phenomenology concept of ante-perception. The mathematical representation of the cone of scenarios provides a structured way to explore multiple future pathways, allowing communities to visualize and compare different trajectories and make informed decisions amid uncertainty. The model facilitates critical reflections on present assumptions, deepening insights into future scenarios. Ante-perception challenges traditional approaches to foresight by encouraging a break from established experiences, allowing for novel insights into possible futures. When enriched by computational intelligence, this reflective process is further strengthened by quantitative approach scenario modeling.

This research develops and tests a proposal that includes the logic and methods for constructing a mathematical representation of the cone of scenarios. This process, which is interactive and deliberative, is driven by anticipation and combines qualitative and quantitative approaches within a context of high uncertainty. By combining the critical reflection facilitated by ante-perception with the predictive power of computational intelligence, the model allows communities to transcend established thought patterns and explore innovative future possibilities. This integrative approach helps them envision and work toward social self-transformation.

The article aims to identify the creation of scenarios in contexts of high uncertainty, to respond to the needs of communities in emerging countries to manage change.

This article explores a novel approach to using foresight for address collective intelligence by developing a shared future vision in high-uncertainty contexts within local communities in emerging countries. The application of the hybrid model demonstrates that foresight is a key innovative social tool for developing long-term strategic reflection and planning for territories.

In developing long-term reflective processes, explaining phenomena, mechanisms and correlations requires the use of value judgments. This set of value judgments requires a representation that facilitates their treatment, helps to account for their behavior during the inference process to form a shared future vision. Consequently, ensuring the recognition of the opinions of local communities through participatory discussion spaces and their subsequent refinement, from a technical perspective, aims to illustrate the development of this social construction process. While similarities exist, differences add value through a transfer process, often subconscious. This process stimulates collective learning and builds capacities as knowledge is developed through inquiry, evaluation, interpretation and generalization.

This research provides a unique hybrid model that fosters collective learning and engagement by integrating local community perspectives with advanced computational intelligence methods. By facilitating both reflective and quantitative approach future-shaping, it offers a practical framework for addressing uncertainty while empowering communities to shape their own futures. It underscores the importance of recognizing local community views through bottom-up participatory discussions, thereby widening the stakeholder community to active engagement in addressing broader societal issues. The case study focuses on community collaboration in Puerto Gaitán, a Colombian municipality.

Needs for information literacy, disparities in society, bridging digital divides, richness of information sources in electronic (e-)environments and the value of dictionaries have often been propagated. To improve information sources and information literacy training, information behaviour must be understood (i.e. all information activities). This paper conceptualises new opportunities for information sources (e.g. electronic dictionaries) to all society sectors, dictionary literacy and research lenses such as lexicography to supplement information literacy and behaviour research.

A scoping review of information literacy and behaviour, lexicography and dictionary literature grounds the conceptualisation of dictionary literacy, its alignment with information literacy, information activities and information behaviour and lexicography as additional research lens.

Research lenses must acknowledge dictionary use in e-environments, information activities and skills, meanings of information and dictionary literacy, the value of e-dictionaries, alignment with information behaviour research that guides the development of information sources and interdisciplinary research from, e.g. lexicography – thus contextualisation.

Research implications – information behaviour and information literacy research can be enriched by lexicography as research lens. Further conceptualisation could align information behaviour, information literacy and dictionary literacy.

Dictionary training, aligned with information literacy training, can be informed by this paper.

The value of dictionary literacy for all sectors of societies can be improved.

Large bodies of literature on information behaviour and lexicography individually do not cover combined insights from both.

This paper posits the need for English language arts (ELA) teachers to foster students’ use of languaging about their relations with ecosystems and peers, leading to their engaging in collective action to critique and transform status-quo systems impacting the climate crisis.

This paper reviews the current theory of languaging theory and research that focuses on the use of languaging to enact relations with ecosystems and others and voice emotions for transforming communities and reducing emissions contributing to climate change.

This review of languaging theory/research leads to identifying examples of teachers having students critique the use of languaging constituting status quo energy and community/transportation systems, respond to examples of characters using languaging in literary texts, using languaging in discussing or writing about the need to address climate change, critiquing languaging in media promoting consumption, using media to interact with audiences and using languaging through engaging in role-play activities.

This focus on languaging in ELA classrooms is a unique perspective application of languaging theory, leading students to engage in collective, communal action to address the climate crisis.

The aim of this research paper is to present a new model of innovation management under the approach of anticipatory collective intelligence strategies to improve the innovation capacity of products and business processes. The paper presents a case study of Café Galavis, one of the oldest family-owned companies in the Colombian coffee sector.

A descriptive mixed-methods research design was used. Ten experts and the general manager of the organization were interviewed using a semi-structured format. Additionally, a creativity and innovation workshop were conducted with the participation of 140 young people between the ages of 21 and 28. The traditional product of the company was evaluated using the SCAMPER technique. On the other hand, a strategic approach was taken to address the complex problem. This involved conducting a bibliometric analysis using Vosviewer software, prioritizing key variables and actors’ game through MICMAC and MACTOR software, seeking expert judgment, conducting morphological analysis, generating scenarios under the Peter Schwartz axes and designing a strategic plan.

The paper presents a new approach to developing innovation processes by connecting foresight and the SCAMPER technique as a strategy for anticipatory collective intelligence. Furthermore, it was found that the use of these methods enhances the innovation capacity of both products and business processes. Organizations can implement this model to create plans with disruptive and sustainable horizons.

The paper presents methods to enhance the adoption and performance of innovation in companies through collective anticipatory intelligence and the use of digital tools.

This paper proposes a novel approach to combining two future methods to promote innovation. This study makes a theoretical and practical contribution to the field of foresight.

Construction activities conducted in urban areas are often a source of significant noise disturbances, which cause psychological and health issues for residents as well as long-term auditory impairments for construction workers. The limited effectiveness of passive noise control measures due to the close proximity of the construction site to surrounding neighborhoods often results in complaints and eventually lawsuits. These can then lead to delays and cost overruns for the construction projects.

The paper proposes a novel approach to integrating construction noise as an additional dimension into scheduling construction works. To achieve this, a building information model, including the three-dimensional construction site layout object geometry, resource allocation and schedule information, is utilized. The developed method explores further project data that are typically available, such as the assigned equipment to a task, its precise location, and the estimated duration of noisy tasks. This results in a noise prediction model by using noise mapping techniques and suggesting less noisy alternative ways of construction. Finally, noise data obtained from sensors in a case study contribute real values for validating the proposed approach, which can be used later to suggest solutions for noise mitigation.

The results of this study indicate that the proposed approach can accurately predict construction noise given a few available parameters from digital project planning and sensors installed on a construction site. Proactively integrating construction noise control measures into the planning process has benefits for both residents and construction managers, as it reduces construction noise-related disturbances, prevents unexpected legal issues and ensures the health and well-being of the workforce.

While previous research has concentrated on real-time data collection using sensors, a more effective solution would also involve addressing and mitigating construction noise during the pre-construction work planning phase.

This paper aims to explore how Indonesian males who are entrepreneurs in make-up artists navigate their businesses in a society that relies on hegemonic masculinity. This goal is reached by concentrating on male make-up artist entrepreneurs in five Indonesian provinces and investigating how they actively rewrite their gender and inherent vocations by societal norms.

This paper adopts a qualitative phenomenological approach with methods. In-depth interviews and observations were conducted with 28 informants in five provinces of Indonesia.

These findings show that, aside from self-concept, family support is the most crucial determining factor that pushes men make-up artists to become businesses in the face of so many rejections. Persistence in battling for their fate is also critical in efforts to erase themselves, who are constantly subjected to hegemonic masculinity. Aside from that, it appears that the government's role in attempts to promote gender equality in all fields of business in Indonesia remains limited.

This paper contributes to the gender and entrepreneurship literature by providing a broader exploration of male entrepreneurs working in the field of female make-up artists in a society that still adheres to hegemonic masculinity.