Data in Common(s): Collaborative Models for Robust Data Support. - Samantha Guss; Nicole Scholtz; Jennifer Green; Michelle Hudson (IASSIST Conference, 2012)

Strategies and Models for Data Collection Development. - Hailey Mooney; Karen Hogenboom; Bobray Bordelon; Kristin Partlo; Michelle Hudson; Maria A. Jankowska (IASSIST Conference, 2013)

Student Perceptions of Object-based Learning with Digitized Museum Materials during Classroom Science Instruction. - Kirsten R. Butcher; Michelle Hudson; Madlyn Runburg (ICLS, 2018)

Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. - Craig A. Glastonbury; Sara L. Pulit; Julius Honecker; Jenny C. Censin; Samantha Laber; Hanieh Yaghootkar; Nilufer Rahmioglu; Emilie Pastel; Katerina Kos; Andrew Pitt; Michelle Hudson; Christoffer Nellåker; et al. (PLoS Comput. Biol., 2020)

Predicting student understanding by modeling interactive exploration of evidence during an online science investigation. - Eric G. Poitras; Kirsten R. Butcher; Matthew Orr; Michelle Hudson; Madlyn Larson (Interact. Learn. Environ., 2022)