Big Data Challenges, Research, and Technologies in the Earth and Planetary Sciences

A workshop to be held Monday December 5th at the 2016 IEEE International Big Data Conference

Workshop Schedule

The workshop will be held in room Congressional C. The workshop schedule is available here.

Workshop description

A new paradigm is needed in order to increase the productivity and effectiveness of scientific data analysis for Earth and planetary science investigation. This paradigm must recognize that architectural and analytical choices are interrelated, and must be carefully coordinated in any system that aims to allow efficient, interactive scientific exploration and discovery to exploit massive data collections, from point of collection to analysis and decision support.

Both observational systems and data centers will be needed as part of this new paradigm, which includes the significant increase in size and complexity of science data as well as new approaches across the entire data lifecycle from capture to management and analysis of the data.

This workshop builds off of two successful previous workshops in this area. The Big Data in the Geosciences and the Data and Computational Science Technologies for Each Science Research workshops have merged to offer a comprehensive venue for all aspects of Big Data in the Earth and Planetary Sciences. We seek computational and data science experts to present on their research and discuss Big Data roadmaps, architectures, technologies, and methodologies for future Earth and planetary science data challenges emerging from both instrumentation and data access and analytics.

This workshop has received generous promotional support from the Open Geospatial Consortium.

#geobigdata16 Tweets

Topics of Interest

I. Architectural considerations and data life cycle

Integration of data, computing/HPC/cloud, and algorithms
Cloud computing, software as a service
New technologies (e.g., distributed frameworks, database technologies, search, etc) for scaling the architecture
Semantic Technologies, Linked Data, and efficient semantic query, reasoning, and integration techniques
Capturing well-architected and curated data repositories
Data and semantic information architectures
Architecting automated pipelines for data capture
Enabling analytics on data pipelines for computation, data discovery, event detection, reduction, etc
Open source data science frameworks

II. Onboard/Sensor-based Computing

Embedded and real-time data reduction and triage/analytics methods
Managing bandwidth constraints for high volume instruments
Approaches for scaling observing systems for satellite, airborne and ground-based sensors
New concepts for data intensive missions
Integration of computational methods with observing systems

III. Scalable Data Analytics for Massively Distributed Data

Access and integration of highly distributed, heterogeneous data
Search and retrieval across massive, heterogeneous data stores
Novel statistical approaches for data integration and fusion
Sampling strategies from massive data repositories
Uncertainty in scientific inferences
In situ analysis for High Performance Computing
Computation applied at the data sources
Automated Machine Learning methods for identifying and extracting interesting features and patterns
Methods for visualizing massive observational and model data
Visualization of Big Data from observations and/or models

Paper Submission

Papers can be sumbitted here

Papers should be formatted to 10 pages maximum using the IEEE Computer Society Proceedings Manuscript Formatting Guidelines below.
Formatting Instructions:
8.5" x 11" (DOC, PDF)
LaTex Formatting Macros

Important Dates

Date	Deadline
Monday, September 26th, 2016	Due date for paper submissions
Friday, October 28th, 2016	Notification of paper acceptance to authors
Tuesday, November 15th, 2016	Camera-ready version of accepted papers due
Monday, December 5th, 2016	Workshop

Conference Organizers

Dan Crichton	Program Chair	NASA/JPL
Tom Narock	Program Chair	Notre Dame of Maryland University
Nancy Chanover	Program Committee	New Mexico State University
S.G. Djorgovski	Program Committee	California Institute of Technology
Tsengdar Lee	Program Committee	NASA/HQ
Jacqueline Lemoigne-Stewart	Program Committee	NASA/GSFC
Mike Little	Program Committee	NASA/GSFC
Chris Lynnes	Program Committee	NASA/GSFC
Chris Mattmann	Program Committee	NASA/JPL
Thomas Stein	Program Committee	Washington University in St. Louis
Ray Walker	Program Committee	UCLA