2021 CDI Workshop: Designing Data-Intensive Science

The 2021 Workshop had 483 registrants, 24 breakout sessions, 3 plenaries, 32 posters or demos, and 14 lightning talks. The completely virtual format allowed a larger number of participants than previous in-person CDI workshops.

The online agenda for the workshop is available on Sched.

Breakout Sessions 

• A fun, fast hands-on introduction to the user-centered design process, Joe Bard, Sophie Hou, Rachel Volentine 
• Advanced Scientific Computing in the USGS, Janice Gordon, Courtney Neu 
• Assessing the Value and Usage of USGS Data Management Plans, Grace Donovan, Amanda Liford, Madison Langseth, Elizabeth Sellers 
• Cleaning data with OpenRefine, Ricardo McClees-Funinan 
• Cloud Optimized File Formats: What's new in ScienceBase and Strategies for Data Managers, Drew Ignizio, Rich Signell 
• Data-Intensive Science in Action at the USGS, Rich Signell, Jeanne Jones, Peter Ng, Kevin Henry, Jamie Jones, Chris Skinner, Jason Kreitler, Ben Sleeter 
• Effective Communication, Juliana Casavan, Claire Stirm 
• Globus 101: Introduction and Basics to Moving and Sharing Data with Globus, Jeff Falgout, Janice Gordon, Vas Vasiliadis 
• How to talk to your data manager/scientist – Breaking the ice, Madison Langseth, Jason Ferrante, Tara Bell, Matt Cannister, Kris Jaeger, Sue Kemp 
• Integrated modeling at the USGS - what do we need?, Leslie Hsu, Christie Hegermiller, Brandon Serna, Catherine Jarnevich, Anne Wein 
• Making Connections through Data Integration, Shayne Urbanowski, Amber Kremer, Madison Fung, Rich Signell, Becca Scully, Genevieve Barron, Tatyana DiMascio 
• Market & Audience Assessment, Juliana Casavan and Claire Stirm 
• Online Imagery Data Storage and Release: Current State of the Science and Future Directions, Seth Ackerman, Joe Adams, Sandy Brosnahan, Evan Dailey, Cian Dawson, Frank Engel, Dennis Walworth, Ben Letcher, Chris Gazoorian, Jon Warrick, Anthony Fischbach 
• R Workshop: accessing the USGS National Map and making 3D maps with terrainR, Mike Mahoney, Colleen Nell, Lindsay Platt 
• Reclamation Use of Data Management and Science for Water Resource Applications, Allison Odell, James Nagode, Kenneth Richard, Ken Nowak, Katie Holman, Lindsay Bearup, Drew Loney.  
• Records Management: Winds of Change, Matt Arsenault, Chris Bartlett, Ed Olexa, Larry Reedy 
• Semantic Web 101, Fran Lightsom, Brandon Whitehead, Scott Peckham, Ken Bagstad 
• The Cloud in Action – How Centers are using Cloud Hosting Solutions for Data-intensive Workflows & Running Scientific Models, Kirsty Haynie, Mike Hearne, Eric Larson, Heather Schovanec, Dionne Zoanni, Cory Overton, Jeremy Fee, Tony Butzer and Stefanie Kagone, Rich Signell, Tarandeep Kalra, Sam Congdon, Courtney Neu 
• The fundamentals of design for scientific data visualization, Ellen Bechtel, Sophie Hou, Ben Letcher, Colleen Nell, Amy Puls, Katherine Trickey, Dionne Zoanni 
• Updates to the Data Storage and Transport Ecosystem for Research Computing, Jeff Falgout, Janice Gordon 
• USGS Cloud Hosting Solutions - Advancing 21st Century Science, Jennifer Erxleben, Eric Larson, Dionne Zoanni, Courtney Neu, Robert Shepherd 
• USGS Roadmap to enable FAIR Principles, Wade Bishop, Viv Hutchison, Fran Lightsom, Dave Govoni, Linda Debrewer 
• USGS Shared Software Resources, Carl Schroedl 
• Using AI/ML to advance USGS Science, Pete Doucette, Eric Larson, JC Nelson, Matt Kuckuk, Jeff Tracey, Freddie Kalaitzis 

Posters and Demos

• Modernizing sensor data workflows to leverage Internet of Things (IoT) and cloud-based technologies, Caitlin Andrews
• Retrieving data. Wait a few seconds and try to cut or copy again, Itiya Aneece
• Semantics and machine reasoning enable FAIR, web-based data and model integration, Kenneth Bagstad
• From reactive- to condition-based maintenance: artificial intelligence for anomaly prediction in time-series data and operational decision-making, Matthew Cashman
• USGS Markup Application: Supporting User-Driven Improvements to Hydrography Data​, Marcelle Caturia
• Colorado River Basin EarthMAP Implementation, Katharine Dahm
• Transforming Data Representations to Improve Computational Performance, David Donato
• Making USGS/NOAA Total Water Level and Coastal Change Forecast data accessible through user-friendly interfaces, Kara Doran
• What's New in Cloud Hosting Solutions?, Jennifer Erxleben
• Delivering the North American tree-ring fire history network through a web application and an R package, Chris Guiterman
• Central Energy Resources Science Center Data Management Services Project Overview, Gregory Gunther
• Landsat-derived fire history metrics to provide critical information for prioritizing prescribed fire across the Southeast, Todd Hawbaker
• Let’s Chat about Usability!, Sophie Hou
• USGS Model Catalog, Leslie Hsu
• Efficiently Accessing Large Earth Imagery Datasets Using the Meta Raster Format (MRF) and AWS Serverless Architecture, Liz Huselid
• Meet the SAS Science Data Management Team!, Viv Hutchison
• USGS State of the Data, Viv Hutchison
• The Definition of Analysis-ready Data in USGS, Viv Hutchison
• USMIN – delivering critical mineral data for the U.S., Nick Karl
• Diversity and Inclusion Resources at USGS, Kim Kloecker
• A Fire-Aware Stream Application to Integrate USGS Fire and Water Databases, Katharine Kolb
• The Standalone Data Dictionary: A More Robust Approach in Documenting the Entity and Attributes for Data, Raymond Obuch
• Diverse data to improve Southwest fire forecasts: Joining novel remote sensing, post-fire dynamics, and intra-annual precipitation patterns, Michala Phillips
• Advancing Post-Fire Debris Flow Hazard Science with a Field Deployable Mapping Tool, Francis Rengers
• Development of a web-based tool for coastal water resources management, Tara Root
• The Wildfire Trends Tool: A data visualization and analysis tool to meet land management needs and facilitate scientific inquiry, Douglas Shinneman
• Utilization of Google Earth Engine to Examine Surface Water Inundation Patterns in California Croplands, Britt Smith
• Solar and sensor geometry, not vegetation response, drive satellite NDVI phenology in widespread ecosystems of the western United States, Jessica Walker
• Remote sensing strategies for invasive species management, Cynthia Wallace
• GIS Clipping and Summarization Tool for Points, Lines, Polygons, and Rasters, Justin Welty
• Coast Train - Massive Library of Labeled Coastal Images for Machine Learning Applications, Phillipe Wernette
• Visualizing Science using Python Dash, Daniel Wieferich

Lightning Talks 

• Semantics and machine reasoning enable FAIR, web-based data and model integration, Kenneth Bagstad 

• Coast Train - Massive Library of Labeled Coastal Images for Machine Learning Applications, Phillipe Wernette 

• From reactive- to condition-based maintenance: artificial intelligence for anomaly prediction in time-series data and operational decision-making, Matthew Cashman 

• USGS Markup Application: Supporting User-Driven Improvements to Hydrography Data, Marcelle Caturia 

• Making USGS/NOAA Total Water Level and Coastal Change Forecast data accessible through user-friendly interfaces, Kara Doran 

• USGS Model Catalog, Leslie Hsu 

• Efficiently Accessing Large Earth Imagery Datasets Using the Meta Raster Format (MRF) and AWS Serverless Architecture, Liz Huselid 

• A Fire-Aware Stream Application to Integrate USGS Fire and Water Databases, Katharine Kolb 

• The Standalone Data Dictionary: A More Robust Approach in Documenting the Entity and Attributes for Data, Raymond Obuch 

• Diverse Data to Improve Southwest Fire Forecasts: Joining Novel Remote Sensing, Post-fire Dynamics, and Intra-annual Precipitation Patterns, Sasha Reed 

• Development of a web-based tool for coastal water resources management, Tara Root 

• Utilization of Google Earth Engine to Examine Surface Water Inundation Patterns in California Croplands, Britt Smith 

• Remote sensing strategies for invasive species management, Cynthia Wallace 

• Visualizing Science Using Python Dash, Daniel Wieferich 

Go back to CDI 2021 Activities.