The First Caltech-Swinburne Data Science Workshop Agenda (ostensibly final) Sep. 18: Mostly Astroinformatics 8:15-9:00 Continental Breakfast 9:00-9:15 Welcome and Intro (George, Jarrod, Timos) 9:15-9:40 Dan Crichton: Complete Data Lifecycle 9:40-10:05 Jeff Cooke: Data Science with Deeper, Wider, Faster 10:05-10:30 Kiri Wagstaff: V-FASTR: Machine Learning Search for Fast Radio Bursts at the VLBA 10:30-11:00 Coffee 11:00-11:20 Wael Farah: Machine Learning for the Detection of FRBs 11:20-11:40 Jess McIver: Mitigating Noise Artifacts in LIGO Data 11:40-12:00 Darren Croton: Theoretical Astrophysics Observatory 12:00-1:30 Catered Lunch and Discussions 1:30-1:55 Ashish Mahabal: Machine Learning for Classification of Transients 1:55-2:20 Karl Glazebrook: Machine Learning in the JWST Era 2:20-2:45 Timos Sellis: Efficient Exploration of Massive Trajectory Data 2:45-3:15 Coffee 3:15-3:35 Greg Poole: Astronomy Data and Computing Services 3:35-3:55 Ben Rusholme: The ZTF Pipeline 3:55-4:15 Quanzhi Ye: Novel Approaches to Asteroid Discovery 4:15-4:35 Nadia Blagorodnova: The P60 SEDM Pipeline 4:35-5:00 Discussion/Wrap-up 5:00-6:00 Wine & cheese informal reception 6:00-8:00 Speakers dinner Sep. 19: Data Science Topics 8:15-9:00 Continental Breakfast 9:00-9:25 Matthew Graham: Quasar Variability and Periodicity Searches 9:25-9:50 Dan Crichton: From Space Science to Biomedical Research 9:50-10:15 Matt Thomson: Building Low Dimensional Models From High Dimensional Single Cell Data 10:15-10:45 Coffee 10:45-11:05 Chris Fluke: Changing the Way Astronomers Look at Data - One Pixel at a Time 11:05-11:25 Pablo Moscato: From Memetic Algorithms to Machine Teaching 11:25-11:45 Julian Bunn: Computational Sensor Arrays for Seismic Shaking Detection and Measurement 11:45-12:05 Charles McElroy: Identifying, Assessing and Mitigating Bias in Data Science Research 12:05-1:30 Catered Lunch and Discussions 1:30-2:30 Santiago Lombeyda: VR Demos (2nd floor Powell-Booth, Caltech bldg. 79) 1:30-5:00 Open time for the individual discussions 5:00 Adjourn