Joeseph SmithGeneral Programmer/Analyst
- B.S., Informatics: Data Mining and Information Analysis, University of Michigan, 2012
- A.S., Math and Computer Science, Washtenaw Community College, 2009
- Development of a SQL (PostgreSQL) database for real-time remote sensing (buoy) data, making the data more accessible to scientists and stakeholders via a web interface.
- Processing of, collectively, multiple terabytes of data for web consumption (as above) and for scientific inquiries of multiple scientists and stakeholders.
- Great Lakes Dashboard
- Lake Erie Harmful Algal Blooms (HABs) and Hypoxia data browsers covering routine manual sampling, automatic real-time, and model output data
Gronewold, A.D., J. Bruxer, D. Durnford, J. Smith, A. Clites, F. Seglenieks, T. Hunter, S. Qian, V. Fortin. 2016. Hydrological drivers of record-setting water level rise on Earth’s largest lake system. Water Resources Research 52(5): 4026-4042 (DOI: 10.1002/2015WR0182090).
Smith, J.P., A.H. Clites, C.A. Stow, T.S. Hunter, A.D. Gronewold, T. Slawecki, and G. Muhr. 2016. An expandable world wide web based platform for visually analyzing multiple data series related to the Laurentian Great Lakes. Environmental Modelling and Software 78: 97-105 (DOI:0.1016/j.envsoft.2015.12.005).
Smith, J.P., Hunter, T.S., and T.A. Slawecki. “MVC” environmental informatics software foundation for relationship-based collaborative science. 59th Annual Conference of the International Association for Great Lakes Research, University of Guelph, Ontario, Canada, June 6-10, 2016.