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Developing Generic Software Functions for Flexible Least Risk (FLR) Theory Applications

This project focuses on developing generic software functions for implementing Flexible Least Risk (FLR) theory in applications related to penalty probabilities, enforcement costs, database linkages, and user accessibility. Case studies with individual requirements will guide the development process, emphasizing simplicity over complexity based on available resources and data linkages. Work will include deriving key parameters such as shadow value, enforcement cost, and fine probabilities, as well as testing solutions for less experienced users via web access versions. The work-plan involves coding computations for various parameters, conducting Monte Carlo simulations, and exploring additional functions like regressions within each case study.

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Developing Generic Software Functions for Flexible Least Risk (FLR) Theory Applications

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Presentation Transcript

  1. Software development WP6

  2. Application of FLR • Generic • Functions from Theory • Key parameters (theory): q,x,shadow value,enf. cost, prob fine,f • Case study specific

  3. Team • CEFAS: “architecture” and documentation • IC: modules for calculating new functions (penalty prob.; enforcement cost) • AZTI: links FLR to databases • JRC: testing solutions for less experienced users (web access version)

  4. COBECOS requirements • Requirement for development of generic code • Implement COBECOS theoretical approach on a case-study basis • Each case-study has individual requirements • Guidance can be provided • Use simple relationships versus complex (MSE) – depends on resources, data, linkages to other projects.

  5. Work-plan • Code for computation of  (Fbiol, FLEcon)? • Derive  • Monte carlo • Other functions? (regressions etc) • Within case study: resources required! (dedication of participants – at case study level) • Workshop (FLR – one day at IC September)

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