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Nick Nagengast

Nick Nagengast
Associate Scientist

Nick Nagengast

Associate Scientist

Mr. Nick Nagengast is a data scientist with experience in statistical analysis, data visualization, spatial analysis and mapping, and ecological and econometric modeling using the programs R, SQL, and Stata. Mr. Nagengast also has experience writing procedures and tables to relational databases, supporting marine fisheries monitoring efforts (Northeast U.S., Alaska), and communicating analytical methods and findings through summary documents, presentations, data dashboards, and interactive Shiny applications.

Data Analysis

Sampling Technique Validity Analysis, Northeast U.S. Performed a comparative analysis on fisheries data collected using a proposed (novel) sampling technique vs. data obtained using traditional methods to assess the statistical validity of the new method and determine whether further investment into its trial phase was warranted. Generated visualizations and summary documentation for use in meetings with outside stakeholders.
Compliance Assessment, Northeast U.S. Analyzed monitoring data from commercial fishing vessels to identify the rate of noncompliance with discarding rules and identified indicator metrics for use in flagging trips for compliance review in the future. Wrote a Shiny application to simulate behavioral responses by vessels to different penalty structures.
Monitoring Program Visualization, Northeast U.S. Created maps and figures to illustrate the advantages and disadvantages of a specific monitoring program to the public 3 years after its implementation. Developed plan to tell compelling visual stories, combined data across multiple sources, and generated raster graphics and other statistical plots while adhering to agency standards for confidentiality and style.

Fisheries

Sampling Technique Validity Analysis, Northeast U.S. Performed a comparative analysis on fisheries data collected using a proposed (novel) sampling technique vs. data obtained using traditional methods to assess the statistical validity of the new method and determine whether further investment into its trial phase was warranted. Generated visualizations and summary documentation for use in meetings with outside stakeholders.
Compliance Assessment, Northeast U.S. Analyzed monitoring data from commercial fishing vessels to identify the rate of noncompliance with discarding rules and identified indicator metrics for use in flagging trips for compliance review in the future. Wrote a Shiny application to simulate behavioral responses by vessels to different penalty structures.
Monitoring Program Visualization, Northeast U.S. Created maps and figures to illustrate the advantages and disadvantages of a specific monitoring program to the public 3 years after its implementation. Developed plan to tell compelling visual stories, combined data across multiple sources, and generated raster graphics and other statistical plots while adhering to agency standards for confidentiality and style.
Data Collection Revision Support, Alaska Prepared materials to illustrate to stakeholders how certain aspects of data collection relate to performance metrics used by fishery regulators in order to help set priorities when revising data collection methods during an annual conference. Reviewed agency documentation of the monitoring system and applied economic theory to provide context to decision-makers.

Statistical Analysis

Sampling Technique Validity Analysis, Northeast U.S. Performed a comparative analysis on fisheries data collected using a proposed (novel) sampling technique vs. data obtained using traditional methods to assess the statistical validity of the new method and determine whether further investment into its trial phase was warranted. Generated visualizations and summary documentation for use in meetings with outside stakeholders.
Compliance Assessment, Northeast U.S. Analyzed monitoring data from commercial fishing vessels to identify the rate of noncompliance with discarding rules and identified indicator metrics for use in flagging trips for compliance review in the future. Wrote a Shiny application to simulate behavioral responses by vessels to different penalty structures.
Monitoring Program Visualization, Northeast U.S. Created maps and figures to illustrate the advantages and disadvantages of a specific monitoring program to the public 3 years after its implementation. Developed plan to tell compelling visual stories, combined data across multiple sources, and generated raster graphics and other statistical plots while adhering to agency standards for confidentiality and style.

Statistical Modeling

Compliance Assessment, Northeast U.S. Analyzed monitoring data from commercial fishing vessels to identify the rate of noncompliance with discarding rules and identified indicator metrics for use in flagging trips for compliance review in the future. Wrote a Shiny application to simulate behavioral responses by vessels to different penalty structures.
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