> For the complete documentation index, see [llms.txt](https://research.ambitiousimpact.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://research.ambitiousimpact.com/bemonc/simulation-based-training-for-emergency-obstetric-and-newborn-care/front-matter.md). # Front matter ***Contributions:*** *The primary authors for this report were Juan Benzo (Research Manager) and Morgan Fairless (Research Director), supported by Filip Murár (Senior Research Manager). The authors relied on previous text and research carried out by James Che, Vicky Cox, and Sam Hilton—we thank them for their contributions to this report.* ***Ambitious Impact (AIM)*** *exists to enable more effective charities to exist worldwide. We strive to achieve this goal through our extensive research process and Incubator Program. We give talented potential entrepreneurs two months of cost-covered, intensive training designed by founders for founders. Our talented researchers and entrepreneurs identify evidence-based, high-impact interventions and help founders find a co-founder to launch the idea and reach scale.* ***Note to readers:*** *Our research is geared toward AIM decision-makers and program participants. We attempt to find the best ideas for our incubation programs through these reports. Given our commitment to focusing on recommended ideas, reports on those not recommended for incubation can often be less polished.* ***For questions*** *about the content of this research, please contact Juan at* [*juan@charityentrepreneurship.com*](mailto:juan@charityentrepreneurship.com)*. For questions about the research process, please contact Morgan Fairless at* [*morgan@charityentrepreneurship.com*](mailto:morgan@charityentrepreneurship.com)*.* ***Citation:*** *Juan, B., Fairless, M. & Murar, F. (2026). Simulation-based training for emergency obstetric and newborn care. Ambitious Impact.* [*https://doi.org/10.5281/zenodo.21850279*](https://doi.org/10.5281/zenodo.21850279) ***We used AI tools to help produce this report.*** *Customized and off-the-shelf AI tools were involved in finding and screening literature, extracting data, summarizing sources, drafting text, translating materials, providing feedback on analysis, and proofreading & copyediting. In each case, we reviewed and, where necessary, revised the AI output before it was used. All analyses, interpretations, and conclusions are our own.* --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://research.ambitiousimpact.com/bemonc/simulation-based-training-for-emergency-obstetric-and-newborn-care/front-matter.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.