Simulating language knowledge across the EU: language regimes, language learning and consequences for linguistic...

Area of Science:

• Sociolinguistics
• Computational Social Science
• Public Policy

Background:

• The European Union (EU) faces challenges in maintaining linguistic diversity and ensuring citizen engagement.
• Official language policies can lead to linguistic disenfranchisement, where citizens cannot access EU documents or discussions in their native language.
• Understanding the impact of language learning on EU populations is crucial for informed policy-making.

Purpose of the Study:

• To develop a simulation model to evaluate different language education strategies.
• To assess the consequences of these strategies on linguistic disenfranchisement within the EU.
• To provide a tool for EU policymakers to make informed decisions regarding language practices and education.

Main Methods:

• Agent-based modeling to simulate language skills acquisition among EU citizens.
• Incorporation of linguistic distance as a factor in language learning.
• Scenario analysis to compare the impact of various language learning rationales and policies.

Main Results:

• The model can project future language skills distribution across the EU population.
• It allows for the estimation of linguistic disenfranchisement levels under different policy interventions.
• Simulation results can highlight the effectiveness of specific language education policies in mitigating disenfranchisement.

Conclusions:

• Simulation modeling offers a valuable approach to understanding the complex interplay between language education, linguistic distance, and disenfranchisement.
• The developed model can guide EU policymakers in designing effective strategies to promote multilingualism and inclusivity.
• Informed language policies are essential to ensure all EU citizens can participate fully in the democratic process.