Electronic Reporting

Fish catch and harvest data are required for good assessment and resource management. Traditionally, catch data is estimated using probabilistic sampling designs, where a known-number of anglers are called or intercepted at fishing docks and interviewed about their effort and resulting catch. The ubiquity of smartphone has created a situation where a large amount of data on catch and effort are now freely available; however, these reports and data typically do not fall within traditional data collection designs. Rather, voluntary catch reporting is a type of non-probabilistic sampling that enters into an entirely new source of data. Our lab has piloted electronic angler self-reporting (eASR) using a smartphone app designed by the Louisiana Department of Wildlife and Fisheries.

Primary Collaborators

Associated Publications

Please contact me for any materials.

Steve Midway
Steve Midway
Associate Professor

My research interests include fish ecology, macroecology, fisheries science, and data analysis. matter.

Related