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Competing Interests: Competing interests: This work was funded by the Gates Foundation. RK is a member of the Technical Advisory Panel for the Pandemic Fund.

Competing Interests: Competing interests: This work was funded by Resolve to Save Lives: An Initiative of Vital Strategies. DL is an employee of the Global Fund.

The COVID-19 pandemic has highlighted critical gaps in global capacity to prevent, detect, and respond to infectious diseases. To effectively allocate investments that address these gaps, it is first necessary to quantify the extent of the need, evaluate the types of resources and activities that require additional support, and engage the global community in ongoing assessment, planning, and implementation. Which investments are needed, where, to strengthen health security? This work aims to estimate costs to strengthen country-level health security, globally and identify associated cost drivers. The cost of building public health capacity is estimated based on investments needed, per country, to progress towards the benchmarks identified by the World Health Organization's Joint External Evaluation (JEE). For each country, costs are estimated to progress to a score of "demonstrated capacity" (4) across indicators. Over five years, an estimated US$124 billion is needed to reach "demonstrated capacity" on each indicator of the JEE for each of the 196 States Parties to the International Health Regulations (IHR). Personnel costs, including skilled health, public health, and animal health workers, are the single most influential cost driver, comprising 66% of total costs. These findings, and the data generated by this effort, provide cost estimates to inform ongoing health security financing discussions at the global level. The results highlight the significant need for sustainable financing mechanisms for both workforce development and ongoing support for the health and public health workforce., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: This work was funded by Resolve to Save Lives: An Initiative of Vital Strategies, and AM is an employee of Resolve to Save Lives., (Copyright: © 2022 Eaneff et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Artificial Intelligence (AI) has the power to improve our lives through a wide variety of applications, many of which fall into the healthcare space; however, a lack of diversity is contributing to limitations in how broadly AI can help people. The UCSF AI4ALL program was established in 2019 to address this issue by targeting high school students from underrepresented backgrounds in AI, giving them a chance to learn about AI with a focus on biomedicine, and promoting diversity and inclusion. In 2020, the UCSF AI4ALL three-week program was held entirely online due to the COVID-19 pandemic. Thus, students participated virtually to gain experience with AI, interact with diverse role models in AI, and learn about advancing health through AI. Specifically, they attended lectures in coding and AI, received an in-depth research experience through hands-on projects exploring COVID-19, and engaged in mentoring and personal development sessions with faculty, researchers, industry professionals, and undergraduate and graduate students, many of whom were women and from underrepresented racial and ethnic backgrounds. At the conclusion of the program, the students presented the results of their research projects at the final symposium. Comparison of pre- and post-program survey responses from students demonstrated that after the program, significantly more students were familiar with how to work with data and to evaluate and apply machine learning algorithms. There were also nominally significant increases in the students' knowing people in AI from historically underrepresented groups, feeling confident in discussing AI, and being aware of careers in AI. We found that we were able to engage young students in AI via our online training program and nurture greater diversity in AI. This work can guide AI training programs aspiring to engage and educate students entirely online, and motivate people in AI to strive towards increasing diversity and inclusion in this field., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Dr Sirota reported serving as a scientific advisor at Aria Pharmaceuticals, Inc. No other competing interests exist.