Remote Sensing, Uncertainty Quantification and a Theory of Data Systems Workshop: February 12-14, 2018

**Attendance by invitation only**


This workshop will be held at the California Institute of Technology (Caltech)


This Workshop invites statisticians, applied mathematicians, computer scientists, experts in remote sensing technology, and Climate and Earth System scientists to convene to review, discuss, and plan research on issues related to large-scale, efficient analysis of distributed data using spatial statistical methods. Remote sensing data are natural inputs to spatial statistical algorithms, but in many cases data are massive, and are stored in different physical locations. These data must be brought together in some way in order to estimate spatial covariance functions, but moving data to a central location for analysis is tedious at best and impossible at worst. Some remote data reduction is almost certainly necessary, but how much? What are the consequences for inference? The fundamental issue underlying these questions is how to navigate the trade-space between computational and transmission costs versus uncertainty in the estimates or inferences that are ultimately produced. The Workshop will be organized around the following themes:

  • Data systems and their architectures especially at NASA and NOAA
  • Multi-layer network models for data systems
  • The computational–statistical trade-off: theory and application
  • Spatial statistics with distributed data
  • Case study problems with uncertainty requirements and cost limitations

Schedule and Supporting Media

Confirmed speakers for this event are:

Printable Schedule

Monday, February 12, 2018
California Institute of Technology (Caltech) Jet Propulsion Laboratory (JPL)

Time Description Speaker Slides Videos
8:30-8:40 Opening Remarks Amy Braverman, JPL/Caltech; Jessica Matthews, NCSU/NOAA
8:40-8:50 Welcome/SAMSI David Banks, SAMSI Director; Richard Smith, SAMSI Associate Director
8:50-9:00 Welcome/CD3 and CDST George Djorgovski, Caltech; Dan Crichton, NASA/JPL
9:00-9:20 Lecture to be Determined Mike Little, NASA
9:20-9:40 Challenges with Distributed NOAA Satellite Environmental Data Jay Morris, NOAA
9:40-10:10 The Statistical Computational Trade-off Venkat Chandrasekaran, Caltech
10:10-10:40 Approximate Likelihoods Richard Smith, UNC-CH/SAMSI
10:40-11:10 Data System Architectures Dan Crichton, NASA/JPL
11:10-11:30 BREAK
11:30-12:00 The ToDS Problem Maggie Johnson, SAMSI/NCSU
12:00-12:30 Multilayer Modeling and Analysis of Complex (Systems) Data Manlio De Domenico, University of Trento
12:30-2:00 LUNCH
2:00-2:30 Optimization Working Group Jessica Matthews, NOAA
2:30-3:00 Emulators Working Group Emily Kang, University of Cinncinati
3:00-3:30 Spatial Retrieval Working Group John Hobbs, JPL/Caltech
3:30-4:00 BREAK
4:00-5:30 Discussion Bruno Sanso, University of California, Santa Cruz (UCSC); Ansu Chatterjee, University of Minnesota; David Banks, SAMSI/Duke
5:30-7:30 Poster Session and Reception

Tuesday, February 13, 2018
California Institute of Technology (Caltech) Jet Propulsion Laboratory (JPL)

Time Description Speaker Slides Videos
8:30-9:00 Multi-resolution Approaches for Big Spatial Data Matthias Katzfuss, Texas A&M
9:00-9:30 Bayesian Large-scale Kriging Rajarshi Guhaniyogi, UCSC
9:30-10:00 Theoretical Properties of Asynchronous Parallel Stochastic Gradient Algorithm for Distributed Data Systems Zhengyuan Zhu, Iowa State
10:00-10:30 BREAK
10:30-11:00 HPC for Distributed Analysis Dorit Hammerling, NCAR
11:00-11:30 The ESGF Luca Cinquini, JPL/Caltech
11:30-12:00 Discussion
12:00-1:30 LUNCH
1:30-2:00 Climate and Health Veronica Berrocal , University of Michigan
2:00-2:30 Climate Science Hui Su, JPL/Caltech
2:30-3:00 Sea-Ice Modeling and Analysis Carmen Boening, JPL/Caltech
3:00-3:30 Carbon Cycle Science Vineet Yadav, JPL/Caltech
3:30-4:00 BREAK
4:00-5:00 Discussion
4:30-5:00 Wrap-up, Plans for Wednesday
6:00-8:00 Workshop Dinner (tentative)

Wednesday, February 14, 2018
California Institute of Technology (Caltech) Jet Propulsion Laboratory (JPL)

Time Description Speaker Slides Videos
9:00-10:15 Discussion and Planning
10:15-10:45 BREAK
10:45-12:00 Wrap-up

Questions: email