Baltimore Ecosystem Study
Quarterly Science Meeting


June 27, 2006, 9 AM – 3:30 PM

UMBC, Technology Research Center, Room 206

Sensors, Sensor Networks, and Cyberinfrastructure for the Baltimore Ecosystem Study

Conveners: Claire Welty, UMBC, and Katalin Szlavecz, The Johns Hopkins University

9 AM Meet and Greet

9:25 Welcome – Steward Pickett, Project Director


9:30 - 9:45 Claire Welty, CUERE and Dept. of Civil and Environmental Engineering, UMBC
“ An End-to-End Vision for Sensor Networks and Cyberinfrastructure in the Baltimore Ecosystem Study”

9:45 – 9:55 Discussion

9:55 – 10:10 Katalin Szlavecz, Dept. of Earth and Planetary Sciences, JHU
“ Soil Moisture Sensors and Future Opportunities with Gas Sensors”

10:10 – 10:20 Discussion


10:20 – 10:35 Andreas Terzis, Dept. of Computer Science, JHU
“ Wireless Sensor Networks for Environmental Monitoring: A View from the Trenches”

10:35 – 10:45 Discussion

10:45 – 11:00 Break


11:00 – 11:15 Mark Rawlinson, EnviroTech LLC

" Reliable High-Frequency Nutrient Monitoring and Real-Time Dissemination: Is it now feasible?"

11:15 – 11:25 Discussion


11:25 – 11:40 Gary Fisher and Robert H. Pentz, USGS MD-DE-DC Water Science Center
“ Overview of Real-time Hydrologic Data Collection by the U.S. Geological Survey”

11:40 – 11:50 Discussion

11:50 – 1:00 Lunch; Peter Groffman, IES, and Claire Welty, UMBC
Update on NEON, CUAHSI, and CLEANER

1:00 – 1:15 Randal Burns, Dept. of Computer Science, JHU
“ High-level Design Tools for Sensor-Based, Environmental Monitoring”

1:15 – 1:25 Discussion

1:25 - 1:40 Alex Szalay, Dept. of Physics and Astronomy, JHU
“ How to Build a Scientific Database”

1:40 – 1:50 Discussion

1:50 – 2:05 Charles Schweik and Andrei Semenov, U. Mass Amherst

" The Design and Functionality of ORS-lite (ORS version 3.0)”

2:05 – 2:15 Discussion

2:15 – 2:30 Jonathan Walsh, Institute of Ecosystem Studies

“ Ecological Metadata Language - An Information Synthesis and Collaboration Tool”

2:30 – 2:40 Discussion


2:40 – 2:55 Mike McGuire, CUERE, UMBC

" Spatial Data Warehousing and Data Mining for Ecological Research"

2:55 – 3:05 Discussion

3:05 – 3:30 General discussion and wrap-up

3:30 Adjourn