Suboptimal product design and compliance failures lead to economic losses. While AI excels in domain-specific tasks like defect detection, existing solutions lack cross-domain reasoning and explainability. This paper presents Product Singularity, a universal AI framework that integrates multimodal data (images, text, etc) for comprehensive product evaluation across quality, safety, performance, ergonomics, and compliance. A proof-of-concept in consumer bottles validated by experts achieved 90% agreement and reduced evaluation time. Its modular design supports adaptation to other product categories.

This study evaluates two approaches for sustainable product development and their complementarity through workshops and surveys in four companies. Findings show high perceived usefulness but lower usability, with applicability dependent on integration into existing processes. The study identifies value-carrying characteristics – clarity, adaptability, and process linkage – and highlights improvement needs. Results offer guidance for developing coherent methodological support to enable systemic, systematic, and strategic sustainability decisions in early design phases.

What does training look like such that one’s improvisation can be experienced as spontaneous? In this paper, I explore how the aesthetics of “freestyle” in street dance are constituted by empirically achieved bodily capacities contingent upon recognitions. Through examining the pedagogy of freestyle, I show how semiotic labor registers the apparent solipsism of freestyle in street dance into reflexive accounts of sensory-affective capacities selected for cultivation, scaffolded through the deployment of terms like “feeling” and “relation” within participation frameworks. I suggest that ethnographic approaches to the relationship between discursive and non-discursive dimensions of aesthetic-social practices, such as street dance, need to remain both affectively attuned to and semiotically informed, attending to how sensory-affective experiences are rendered discernible and enactable within intersubjective spaces. In addition to exploring these semiotic processes, I also gesture toward the evaluative dimensions of street dance through my fieldwork in a local community in the US and my participation in its transnational scene.

Online counselling services have seen increased use in recent years, providing critical emergency mental health support. These interactions are typically long, complex, and varied in the dialogue between help seekers and counsellors. The lack of domain-specific models, especially in low-resource languages, poses a significant challenge for the automatic detection of suicide risk in online chat services for mental health support. To address this challenge, our approach adapts a general-purpose large language model (LLM) to the suicide prediction task that employs a two-stage classification architecture to deal with sparse and imbalanced data. It extends the state of the art by: (1) incorporating psychological theory into model training and (2) capturing key aspects of conversation structure in counselling sessions. We evaluate the performance of the proposed LLM against the state-of-the-art LLMs for suicide detection on thousands of conversations in the Hebrew language from a leading national online counselling service in Israel. Results show that the proposed LLM outperformed existing state-of-the-art approaches in detecting suicide risk, as measured by relevant literature metrics. Moreover, the LLM outperforms other approaches even in the early stages of a conversation, which is crucial for real-time detection in practice. We also discuss the ethical implications of combining LLMs in counselling services. The contributions of this work are (1) extending existing LLM architectures to incorporate domain-specific information; (2) evaluating LLM technologies in the context of socially relevant problems; and (3) introducing novel LLM tools for resource-constrained languages.

Team science is central to clinical and translational research; however, systematic evaluation of collaborative efforts remains inconsistent and underdeveloped. To better understand current team science evaluation practices within clinical and translational science programs, we conducted a structured cross-sectional survey of team science and evaluation professionals. We analyzed quantitative data using descriptive statistics and qualitative responses through thematic analysis. Among participating organizations, the majority have implemented team science evaluations, predominantly using mixed-methods approaches combining quantitative metrics and qualitative assessments. Evaluation findings were primarily used to inform programing, improve team functioning, and secure funding. Reported challenges fell into four key areas: methodology; implementation; data analysis; and organization. Facilitators included: methodological enhancements, organizational support, collaborative approaches, and infrastructure elements. Participants emphasized using interim measures (e.g., team dynamics and satisfaction) that move beyond traditional outcome measures so that evaluations better reflect how teams interact, adapt, and progress as they develop. While team science evaluation adoption is substantial among leading translational research institutions, significant methodological gaps persist. Future directions focus on developing standardized frameworks with local flexibility, creating validated instruments, utilizing interim process measures, and demonstrating return on investment (ROI) to advance both evaluation science and translational outcomes.

Depuis plus d’une décennie, le Mali est confronté à une crise sécuritaire complexe ayant conduit au déploiement de plusieurs missions internationales de paix, dont la Minusma. Si cette dernière avait pour objectif de soutenir la stabilisation du pays, elle a progressivement fait l’objet de critiques croissantes au sein de la population.

Cet article propose d’analyser les attentes des Maliens à l’égard de la Minusma et d’examiner comment leurs perceptions ont influencé son acceptabilité ainsi que l’évaluation de son efficacité. En mobilisant l’approche de l’évaluation qualitative des politiques publiques, l’étude considère cette mission comme une politique publique internationale de paix. L’analyse repose sur une enquête qualitative réalisée à Bamako en 2020 et 2021. Elle révèle un décalage entre les attentes locales et le cadre de référence de la mission ainsi que l’importance de la légitimité locale dans la conduite, voire la poursuite, des opérations de paix.