Assess your entitlement to 906 aids: OpenFisca, a tool to writing rules as code

This information was sourced from the European Commission, Joint Research Centre (2026): PSTW: Public Sector Tech Watch latest dataset of selected cases. [Dataset] doi: 10.2905/JRC.J1MWC9R PID: http://data.europa.eu/89h/e8e7bddd-8510-4936-9fa6-7e1b399cbd92. Licensed under Creative Commons Attribution 4.0 (CC BY 4.0).

The most widely adopted free and open-source engine to write rules as code
Government departments, lawmakers and civil society finally share a common language to debate and activate social and fiscal policies: OpenFisca enables collaboratively modelling laws and regulations and making them computable over open APIs for developers, datascientists and researchers.

OpenFisca is a leading Rules as Code solution, but it is primarily aimed at microsimulation. Microsimulation is where you create a data model that represents small elements of a population, like people and households, and then encode the effects of different tax and benefit regimes. You can then load data that is representative of your actual population, and look at the effects on those individuals or groups in aggregate. Or, you can load a smaller number of specific examples and see how those particular fact scenarios are affected by the rules.

It uses OpenFisca OSS software framework. OpenFisca is a policy simulation framework that utilizes various techniques from data science and computer science to model and analyze the impact of social and fiscal policies. While OpenFisca does not rely on Artificial Intelligence (AI) as its primary component, it does employ some AI-related techniques and concepts to enhance its capabilities. AI-related techniques used in OpenFisca:

1. Machine Learning (ML): OpenFisca uses ML algorithms to estimate the effects of policies on specific outcomes, such as poverty rates or government revenues. For example, it can employ regression analysis to model the relationship between policy parameters and outcomes.
2. Decision Trees: OpenFisca's policy modeling engine uses decision trees to represent complex policy rules and regulations. Decision trees are a type of ML model that can be used to classify inputs and make predictions.
3. Optimization Techniques: OpenFisca's scenario analysis capabilities utilize optimization techniques, such as linear programming, to find the optimal policy parameters that achieve specific goals, like minimizing poverty rates or maximizing government revenues.
4. Data Mining: OpenFisca's data integration and analysis capabilities involve data mining techniques to extract insights from large datasets and identify patterns in policy-relevant data.

Budget: Free/open-source