Promises Granted: Venture Philanthropy and Tech Ideology in Metajournalistic Discourse

Creech & Parks critically analyze how venture philanthropy shapes journalism through a "tech ideology. " Through metajournalistic discourse, they argue that tech-driven funders are positioned as saviors of journalism, framing innovation and marketization as inherent to journalistic value. This discourse, they warn, privileges donor legitimacy over journalistic autonomy. The article raises concerns about the increasing influence of tech billionaires on the media landscape, suggesting that their philanthropic investments may inadvertently undermine journalistic independence and diversity. It calls for greater scrutiny of these dynamics and a reassertion of journalistic integrity.

Philanthropy and its critics: a history

Cunningham critically examines the evolution of philanthropy, juxtaposing its early reformist aims with modern critiques. He argues that philanthropy has consistently served as a political instrument, capable of both transformative action and the displacement of state responsibilities within a neoliberal framework. The chapter calls for a reconceptualization of philanthropic legitimacy and power, acknowledging its historical contradictions and the motivations behind modern giving.

Philanthrocapitalism, ‘pro-poor' agricultural biotechnology and development

Brooks critically examines "pro-poor" philanthropic biotech initiatives, specifically focusing on cases like Golden Rice and drought-tolerant maize. She highlights inconsistencies between their stated rhetoric and actual outcomes, meticulously analyzing how market-driven frameworks shape research agendas. The critique suggests that these approaches may inadvertently sideline more context-sensitive and equitable solutions in favor of alignments with capitalist models, potentially overlooking the complex realities of agricultural development in marginalized communities.

Machine Learning Based Prediction of Non-communicable Diseases to Improving Intervention Program in Bangladesh

This paper presents a machine learning-based approach to predict non-communicable diseases (NCDs) in Bangladesh, with the aim of improving intervention programs. The research utilizes various data points to identify individuals at high risk of developing NCDs, allowing for early detection and targeted preventative measures. The findings offer valuable insights for public health strategies, enabling more effective allocation of resources and ultimately contributing to better health outcomes in the region.

IMPROVING DATA FOR WOMEN AND CHILDREN: Guidance on strengthening administrative data systems for gender statistics

This guidance document outlines strategies for strengthening administrative data systems to improve gender statistics, specifically focusing on women and children. It underscores the critical need for gender-responsive data collection and analysis to inform more inclusive policies and address systemic data gaps. The document presents frameworks for institutional strengthening, capacity-building, and effective data use, aiming to promote gender equality and ensure that no child is left behind due to intersecting inequalities.

Sustainable Finance Classification System (SFCS)

This document outlines Santander’s Sustainable Finance Classification System (SFCS), detailing the methodology for categorizing sustainable financial products and services. It defines criteria for Green, Social, Sustainability, and Sustainable Finance, providing the scope, environmental and social due diligence requirements, and verification approaches. The SFCS serves as a reference for creating and identifying financial solutions that contribute to achieving the Paris Agreement goals and UN Sustainable Development Goals (SDGs), reflecting Santander’s commitment to inclusive growth and the transition to a low-carbon economy.

Mobilizing Private Capital for Public Good: Priorities for Canada

This report from Canada’s National Advisory Board to the Social Impact Investment Taskforce outlines priorities for mobilizing private capital for public good. It explores the landscape of social impact investment in Canada, identifies key challenges, and proposes recommendations to foster a robust ecosystem. The report emphasizes the role of policy, financial innovation, and cross-sector collaboration in driving social and environmental impact alongside financial returns. It aims to accelerate the growth of impact investing to address pressing social issues.

Largest-ever analysis finds genetic links to smoking and drinking

This article discusses the findings of the largest-ever genetic analysis related to smoking and drinking behaviors. Researchers identified specific genetic variants that influence an individual’s propensity for these habits, shedding light on the biological underpinnings of addiction. The insights gained could pave the way for more targeted prevention strategies and interventions, ultimately contributing to public health efforts. The analysis highlights the complex interplay between genetics and lifestyle choices in the context of addiction.

Girls in Data

This article highlights the "Girls in Data" initiative, which aims to inspire and encourage young girls to pursue careers in data science and technology. It discusses the importance of introducing STEM subjects early and providing positive role models to address the underrepresentation of women in these fields. The initiative seeks to foster interest and talent in data, contributing to a more diverse and inclusive future workforce in the rapidly growing digital sector.
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