Hippocampal morphology mediates biased memories of chronic pain. - Sara E. Berger; Etienne Vachon-Presseau; Taha B. Abdullah; Alex T. Baria; Thomas J. Schnitzer; Apkar Vania Apkarian (NeuroImage, 2018)

Enabling Data Democratization - Interactive Graphical Representations of Unplanned Readmissions for Cancer Patients. - Cyd Charisse Villalba; Sara Berger; Steve Martin; Pete Stetson; Wazim Narain; Joeury Nunez; Tiffanny Newman; Patrice Schwegman; Rita Reynolds Silverberg; Patrick Samedy; Dhruvkumar Patel (AMIA, 2019)

Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines. - Chirag Nagpal; Dennis Wei; Bhanukiran Vinzamuri; Monica Shekhar; Sara E. Berger; Subhro Das; Kush R. Varshney (CHIL, 2020)

Responsible & Inclusive Cards: An Online Card Tool to Promote Critical Reflection in Technology Industry Work Practices. - Salma Elsayed-Ali; Sara E. Berger; Vagner Figuerêdo de Santana; Juana Catalina Becerra Sandoval (CHI, 2023)

Towards Labor Transparency in Situated Computational Systems Impact Research. - Felicia S. Jing; Sara E. Berger; Juana Catalina Becerra Sandoval (FAccT, 2023)

The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients. - Sara E. Berger; Carla Agurto; Guillermo A. Cecchi; Elif Eyigöz; Brad Hershey; Kristen Lechleiter; Dat Huynh; Matt McDonald; Jeffrey L. Rogers (ICDH, 2023)

Responsible and Inclusive Technology Framework: A Formative Framework to Promote Societal Considerations in Information Technology Contexts. - Juana Catalina Becerra Sandoval; Vagner Figueredo de Santana; Sara E. Berger; Lauren Thomas Quigley; Stacy Hobson (CoRR, 2023)

The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients. - Sara E. Berger; Carla Agurto; Guillermo A. Cecchi; Elif Eyigöz; Brad Hershey; Kristen Lechleiter; NAVITAS / ENVISION Studies Physician Author Group; Dat Huynh; Matt McDonald; Jeffrey L. Rogers (CoRR, 2023)

AI and Neurotechnology: Learning from AI Ethics to Address an Expanded Ethics Landscape. - Sara Berger; Francesca Rossi 001 (Commun. ACM, 2023)

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. - Swapnaja Achintalwar; Adriana Alvarado Garcia; Ateret Anaby-Tavor; Ioana Baldini; Sara E. Berger; Bishwaranjan Bhattacharjee; Djallel Bouneffouf 001; Subhajit Chaudhury; Pin-Yu Chen; Lamogha Chiazor; Elizabeth M. Daly; Rogério Abreu de Paula; et al. (CoRR, 2024)

Designing for Agonism: 12 Workers' Perspectives on Contesting Technology Futures. - Felicia S. Jing; Sara E. Berger; Juana Catalina Becerra Sandoval; Kristin Pepper; April M. Wheeler; Paula Redondo Mayoral; Divya Lokesh; Alice Feng; Marija Mijalkovic; Chaoyun Bao; Sara Dholakia; Mohit Goyal (Proc. ACM Hum. Comput. Interact., 2024)

Responsible Prompting Recommendation: Fostering Responsible AI Practices in Prompting-Time. - Vagner Figueredo de Santana; Sara E. Berger; Heloisa Candello; Tiago Machado; Cassia Sampaio Sanctos; Tianyu Su; Lemara Williams (CHI, 2025)

Can LLMs Recommend More Responsible Prompts? - Vagner Figueredo de Santana; Sara Berger; Tiago Machado; Maysa Malfiza Garcia de Macedo; Cassia Sampaio Sanctos; Lemara Williams; Zhaoqing Wu (IUI, 2025)

A Framework for Lightweight Responsible Prompting Recommendation. - Tiago Machado; Sara E. Berger; Cassia Sampaio Sanctos; Vagner Figueiredo de Santana; Lemara Williams; Zhaoqing Wu (CoRR, 2025)