Considerations for development of child abuse and neglect phenotype with implications for reduction of racial bias: a qualitative study. - Aviv Y. Landau; Ashley Blanchard; Kenrick Cato; Nia Atkins; Stephanie Salazar; Desmond Upton Patton; Maxim Topaz (J. Am. Medical Informatics Assoc., 2022)

Developing machine learning-based models to help identify child abuse and neglect: key ethical challenges and recommended solutions. - Aviv Y. Landau; Susi Ferrarello; Ashley Blanchard; Kenrick Cato; Nia Atkins; Stephanie Salazar; Desmond Upton Patton; Maxim Topaz (J. Am. Medical Informatics Assoc., 2022)

Applying Reflexivity to Artificial Intelligence for Researching Marginalized Communities and Real-World Problems. - Nathan Aguilar; Aviv Y. Landau; Siva Mathiyazhagan; Alex Auyeung; Sarah Dillard; Desmond Patton (HICSS, 2023)

Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings. - Aviv Y. Landau; Ashley Blanchard; Paritosh Kulkarni; Shahad Althobaiti; Betina Idnay; Desmond Upton Patton; Kenrick Cato; Maxim Topaz (MIE, 2024)

Digital mourning in tweets: Multimodal analysis of image-based grieving practices among gang-affiliated Black youth. - Nathan Aguilar; Aviv Y. Landau; Kauai A Taylor; Shana Kleiner; Desmond Upton Patton (New Media Soc., 2025)