Perinatal mental health is a growing public health concern. The mounting evidence examining the prevalence of perinatal mental illness identifies specific vulnerabilities and risk factors among migrant women. We know that migrant women experience persistent and systematic barriers in accessing healthcare and that healthcare services do not always respond appropriately to migrant women’s needs, highlighting the need for targeted interventions in supporting positive perinatal mental health among migrant women. The purpose of this participatory health research study was to explore perinatal mental healthcare for migrant women in Ireland, from the perspectives of a diverse range of stakeholders (healthcare service providers, community organisations/networks/associations and migrant women). A key focus of this study was to collaboratively explore solution-focused approaches to improving access to supports and healthcare services for migrant women experiencing perinatal mental illness. Following ethical approval, data were collected during three key convenings, utilising the design principles of world café philosophies. Thematic analysis led to the generation of the following two themes: Building Capability and Capacity and Empowering Migrant Women. The main conclusions lie in the provision of whole-system approaches in collectively, collaboratively and proactively planning strategies that address the many factors that affect access to healthcare services for migrant women experiencing perinatal mental illness. Drawing on the collective perspectives of a wide range of stakeholders, our innovative solution focused on providing recommendations aimed at strengthening supports and healthcare services for migrant women.

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Data gathered from geotechnical, geoenvironmental, and geophysical investigations can be broadly described as "geodata". The AGS4 data format is one of the most widely used data transmittal formats for geodata and is used across the world. It is a plain text format consisting of multiple tables of comma-separated values, tied together with a robust data schema and a comprehensive suite of validation rules. python-ags4 is a Python library that provides functionality to work with AGS4 geodata files. It was written to fulfill the following objectives:- Provide a transparent and easily accessible tool to validate AGS4 geodata files- Provide access to the Python ecosystem to users of AGS4 geodata- Provide a cross-platform tool to work with AGS4 geodata filesIt has been adopted by the Association of Geotechnical and Geoenvironmental Specialists and is currently developed as a community project. It is available for download via PyPI and conda-forge repositories.