Final Workshop Program

Date, Location, and Proceedings

Monday, December 10, 1:30 - 6:00pm
ADAMS, Floor 2
Westin Seattle

1:30 - 1:35pm Welcome and Introduction [slides]
1:35 - 2:10pm Keynote: Prof. Su-In Lee, University of Washington [slides]
Interpretable Machine Learning in Precision Medicine
2:10 - 2:45pm Keynote: Katherine Scott, 3Scan
Automatic Segmentation and Quantification of TB Scale Volumetric Murine Brain Vasculature Data
2:45 - 3:20pm Keynote: Dr. Rachael Tatman, Kaggle
Setting Up Your Public Data for Success
3:20 - 3:40pm Coffee Break
3:40 - 3:55pm Sandro Fiore, Donatello Elia, Cosimo Palazzo, Alessandro D'Anca, Fabrizio Antonio, Dean Williams, Ian Foster, and Giovanni Aloisio [slides]
Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale
3:55 - 4:10pm Paulo Alencar, Donald Cowan, and Doug Mulholland [slides]
The iEnvironment Platform: Developing an Open Science Software Platform for Integrated Environmental Monitoring and Modeling of Surface Water
4:10 - 4:25pm Judith Cushing, Denise Lach, Chad Zanocco, and Jonathan Halama [slides]
Scientific Visualization and Reproducibility for "Open" Environmental Science
4:25 - 4:40pm Venkata Vemuri, Hunter Jackson, and Katherine Scott
Automatic Segmentation and Quantification of TB Scale Volumetric Murine Brain Vasculature Data
4:40 - 4:55pm Mojtaba Sedigh Fazli, Stephen A. Vella, Silvia N.J. Moreno, Gary E. Ward, and Shannon Quinn [slides]
Toward Simple & Scalable 3D Cell Tracking
4:55 - 5:10pm Yanjun Pu, Wenjun Wu, and Yong Han [video]
Parallelizing Bayesian Knowledge Tracing Tool For Large-scale Online Learning Analytics
5:10 - 5:25pm Joshua Gardner, Miguel Andres-Bray, Christopher Brooks, and Ryan Baker
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data
5:25 - 5:40pm Tal Shachaf, Alex Sim, Kesheng Wu, and Wilko Kroeger
Detecting Anomalies in the LCLS Workflow
5:40 - 5:45pm Closing