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Home  /  Workshops  /  Eco-Intelligence: AI for LCA & ESG Decision Systems
● Live Workshop

Eco-Intelligence: AI for LCA & ESG Decision Systems

From Manual Assessments to Intelligent Pipelines: Automating Carbon Accounting and Regulatory Compliance.

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About This Course

The complexity of global climate goals demands a shift from manual data entry to intelligent automation. This workshop explores the frontier of AI-driven sustainability, where Machine Learning meets Environmental Science. We move beyond basic concepts to provide a rigorous, technical deep-dive into how AI can predict environmental risks, automate Life Cycle Inventories (LCI), and transform raw ESG data into strategic decision intelligence.

AIM

To equip senior researchers and sustainability leaders with the computational tools and AI frameworks necessary to:

  • Automate complex Environmental Impact Assessments (EIA).
  • Predict carbon footprints and resource depletion using Machine Learning.
  • Analyze large-scale ESG datasets for regulatory compliance and policy-making.
  • Bridge the gap between academic research and real-world sustainability intelligence.

Workshop Objectives

  • Automate EIA & LCA: Build AI-assisted workflows to replace manual impact assessment methods.
  • Predict Carbon Footprints: Use Machine Learning to fill data gaps in Scope 1, 2, and 3 emissions.
  • Extract ESG Intelligence: Apply Natural Language Processing (NLP) to analyze regulatory reports and compliance data.
  • Optimize Decision-Making: Translate complex environmental datasets into actionable policy and investment insights.
  • Master AI Tools: Gain hands-on experience with low-code AI tools for sustainability modeling.

Workshop Structure

📅 Day 1 – AI Foundations for EIA & Sustainability

  • Evolution of EIA: Regulatory foundations and limitations of traditional manual methods.
  • Environmental Data Ecosystems: Integrating Remote Sensing, Geospatial, and Supply-Chain inputs.
  • ML Methods for Impact Prediction: Overview of Classification, Regression, and Clustering in ecology.
  • Ensuring scientific rigor, reproducibility, and transparency in AI-assisted workflows.

Hands On:

AI Risk-Screening Lab: Building a predictive model to identify high-risk environmental zones from historical project datasets using Low-Code ML tools.

📅 Day 2 – AI-Driven LCA & Carbon Accounting

  • LCA Frameworks: Deep dive into ISO 14040/14044 and automated inventory estimation.
  • AI for Inventory Gap Filling: Using algorithms to estimate missing material and energy data.
  • Carbon Accounting 2.0: Managing Scope 1, 2, and 3 emissions with dynamic AI models.
  • Handling uncertainty and variability in AI-enhanced Life Cycle Assessments.

Hands On:

Predictive Inventory Lab: Building an AI model to estimate the carbon footprint of products where primary data is unavailable, featuring a “Sensitivity Analysis” dashboard.

📅 Day 3 – ESG Analytics & Decision Intelligence

  • ESG Frameworks: Navigating global standards and emerging AI-driven reporting regulations.
  • Risk Scenario Analysis: Using AI for climate-risk modeling and stress-testing.
  • Ethical Governance: Addressing bias, transparency, and “Black Box” challenges in ESG scoring.
  • Translating analytics into policy recommendations and investment-grade insights.

Hands On:

NLP Compliance Lab: Utilizing Large Language Models (LLMs) to scan, extract, and score ESG metrics from 100+ page corporate sustainability reports automatically.

Meet Your Mentor


Gurpreet Kaur

Gurpreet Kaur

Assistant Professor

Mrs. Gurpreet Kaur holds an MCA degree from Punjab Technical University (2010) and has over 7 years of IT industry experience as a Senior Software Developer in various companies. Her expertise lies in front-end technologies, data structures, and algorithms (DSA).

Who Should Enroll?

  • Senior Academicians & Faculty
  • PhD & Postdoctoral Scholars
  • Environmental Consultants
  • ESG & Sustainability Analysts
  • Policy Makers & Researchers

Join Our Hall of Fame

Take your research to the next level with NanoSchool.

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Excellence

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Networking

Connect with global researchers and mentors.

Recognition

Worth ₹20,000 in academic value.

Ends in: 00d 00h

₹1799 – ₹4799

Student Feedback

★★★★★
AI and Ethics: Governance and Regulation

the workshop was very good, thank you very much

 Sandra Wingender •