Understanding Light Pollution's Impact on Life
Developing models to analyze light pollution effects on biological rhythms and ecosystems.
Understanding Light Pollution
We develop and validate a light pollution impact model through data collection, analysis, and real-world applications.
Model Development
Utilizing GPT-4, we analyze data to simulate and predict light pollution's effects on biological rhythms.
Data Collection
Gathering data on light pollution and ecological impacts.
Validation Process
Testing model accuracy with real-world datasets and scenarios.
ThisresearchwilladvanceourunderstandingofhowAIcanbeappliedtoenvironmental
andhealthsciences,particularlyinstudyingtheeffectsoflightpollution.By
developingarobustimpactmodel,thestudywillcontributetothemitigationoflight
pollution’sadverseeffectsonecosystemsandhumanhealth,fosteringsustainableurban
development.Additionally,itwilldemonstratethepotentialoffine-tunedAImodels
likeGPT-4toaddressreal-worldchallenges,highlightingtheirsocietalimpactin
promotingecologicalandpublichealth.Thefindingswillalsoprovideinsightsinto
thelimitationsandfuturedirectionsofAIinenvironmentalmodeling.