Navigating Stigma Against At-Risk Sexual and Gender Minority Populations to End the HIV Epidemic in Sub-Saharan Africa.

In the past year, new laws criminalizing same-sex conduct and the promotion of lesbian, gay, bisexual, transgender, and queer (LGBTQ) rights have emerged as barriers to addressing the HIV epidemic in sub-Saharan Africa (SSA). An augmented approach to addressing HIV within the region's disproportionately affected LGBTQ populations, particularly transgender women and gay, bisexual, and other men who have sex with men (MSM), is imperative for achieving the international goal of ending the HIV epidemic by 2030. In this article, we present recommendations to bolster the continuum of HIV care for MSM and transgender women in SSA.

Opportunities to Harness Technology to Deliver HIV Prevention / Healthy Sexuality Programming to Sexual and Gender Minority Adults Living in East Africa.

Because of stigmatization of and discrimination against lesbian, gay, bisexual, transgender, and other sexual and gender minority (SGM) people in East Africa, there is paucity of SGM-focused sexual health research. Technology-based outreach efforts may represent a feasible way to reach and engage this population. They also may be a way to deliver important yet sensitive sexual health information in a stigma-free, anonymous atmosphere.

AI for social good: unlocking the opportunity for positive impact.

Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world's most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations' 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centred around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good.

Are reproductive health NGOs in Uganda able to engage in the health SWAp?

This paper explores the ability for reproductive health (RH) non-governmental organizations (NGO) in Uganda to survive in the context of SWAp and decentralization. The authors argue that, contrary to the perceptions that this context may increase NGO's financial vulnerability, a SWAp and a decentralized system may provide an opportunity that should be embraced by NGOs to enhance their sustainability and effectiveness by reducing their current dependency on donor funding. The paper discusses the systemic weaknesses of many NGOs that currently make them vulnerable, and observes that unless these weaknesses are addressed, such NGOs will lose their space in the SWAp and decentralization arena.