Justine W. Debelius

According to our database, Justine W. Debelius authored at least 5 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Experiences and lessons learned from two virtual, hands-on microbiome bioinformatics workshops.

Matthew R. Dillon, Evan Bolyen, Anja Adamov, Aeriel Belk, Emily Borsom, Zachary Burcham, Justine W. Debelius, Heather Deel, Alex Emmons, Mehrbod Estaki, Chloe Herman, Christopher R. Keefe, Jamie T. Morton, Renato R. M. Oliveira, Andrew Sanchez, Anthony Simard, Yoshiki Vazquez-Baeza, Michal Ziemski, Hazuki E. Miwa, Terry A. Kerere, Carline Coote, Richard Bonneau, Rob Knight, Guilherme Oliveira, Piraveen Gopalasingam, Benjamin D. Kaehler, Emily K. Cope, Jessica L. Metcalf, Michael S. Robeson II, Nicholas A. Bokulich, J. Gregory Caporaso

PLoS Comput. Biol., 2021

2018

Docent: transforming personal intuitions to scientific hypotheses through content learning and process training.

Vineet Pandey, Justine W. Debelius, Embriette R. Hyde, Tomasz Kosciólek, Rob Knight, Scott R. Klemmer

Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018

2017

Gut Instinct: Creating Scientific Theories with Online Learners.

Vineet Pandey, Amnon Amir, Justine W. Debelius, Embriette R. Hyde, Tomasz Kosciólek, Rob Knight, Scott R. Klemmer

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

Integrating citizen science with online learning to ask better questions.

Vineet Pandey, Scott R. Klemmer, Amnon Amir, Justine W. Debelius, Embriette R. Hyde, Tomasz Kosciólek, Rob Knight

CoRR, 2016

Using machine learning to identify major shifts in human gut microbiome protein family abundance in disease.

Mehrdad Yazdani, Bryn C. Taylor, Justine W. Debelius, Weizhong Li, Rob Knight, Larry Smarr

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016