Innovative Research Design for Climate Solutions

Transforming data into actionable insights for environmental impact through advanced modeling and experimentation.

Innovative Research Design Solutions

At Segeg, we specialize in research design, employing advanced modeling and AI to tackle environmental challenges related to electromagnetic-ozone interactions. Explore our cutting-edge methodologies and local experiments.

A smartphone displays an application about air quality. The screen reads an 'Excessive' air quality level with an AQI of 167. There is a chart showing a forecast for daily average air quality levels. Below, there's an advertisement for an air quality tracker device by Plume Labs with a 'Discover' button.

Innovative Research Design

We specialize in advanced research design for environmental modeling and atmospheric simulations.

Large blue letters 'AI' stand prominently on a surface covered with a pattern of hexagonal shapes. Dark swirling lines intersect around the letters, creating a sense of motion and complexity. The background has a metallic sheen with a futuristic, digital style.

Data-Driven Modeling

Simulate electromagnetic-ozone reactions using historical data and real-time satellite observations.

Algorithm Development

Design hierarchical reinforcement learning frameworks for optimized multi-region coordination.

Localized Experimentation

Deploy AI agents in chambers for real-time policy iteration and climate interaction simulations.

Research Projects

Innovative solutions for electromagnetic-ozone interaction modeling and analysis.

A 3D rendering of a microchip with the letters 'AI' prominently displayed on its surface, set on a dark, circular platform.

Data Modeling

Simulating ozone reactions using historical and real-time data.

A smartphone displaying the IQAir app with air quality index information. The screen shows data for Kabupaten Bogor, Beijing, and Seoul, with varying air quality levels categorized as 'Unhealthy' for Bogor and Beijing, and 'Good' for Seoul. Weather conditions for the upcoming days are also listed.

Algorithm Development

Creating advanced frameworks for optimizing electromagnetic parameters effectively.

A smartphone lying on a surface with its screen displaying an air quality monitoring app. The app shows various air quality measurements in detail, including PM10, PM2.5, PM1 levels, and temperature. It also indicates that the current air quality index (CAQI) is 73 with a status of 'average'.

A computer screen displaying a 3D modeling software with the words 'AIC MEDIA' in purple, extruded text. The background is a pale yellow with grid lines visible on the virtual floor.

Localized Testing

Deploying AI agents for real-time atmospheric experimentation and analysis.

API Integration

Supporting synthetic data generation and automated hyperparameter tuning.

Expected outcomes:

(1) Validate RL’s effectiveness in complex climate engineering, expanding OpenAI models’ applicability to physical system control; (2) Establish quantitative relationships between electromagnetic control and ozone restoration, providing a methodological framework for AI-driven environmental interventions; (3) Reveal model generalization capabilities and ethical risks (e.g., electromagnetic ecological impacts), advancing evaluation standards for AI climate technologies. These will enhance understanding of AI’s multimodal decision-making and inform societal debates on "controlled geoengineering."

A group of people are participating in a protest or demonstration. One individual in the foreground holds a cardboard sign with the words 'CO2 IS IN THE AIR', which is creatively edited from the phrase 'LOVE IS IN THE AIR'. The scene is outdoors, likely in an urban setting with buildings visible in the background. The atmosphere appears lively and crowded.