About Workshop
This workshop will delve into the synergy between Life Cycle Assessment (LCA) and Generative AI to automate and optimize impact reporting. Participants will gain hands-on experience with advanced AI tools that streamline the environmental impact assessment process, offering valuable insights into sustainability practices.
Aim
The aim of this workshop is to explore the integration of Life Cycle Assessment (LCA) with Generative AI to automate impact reporting. Participants will learn how AI-driven tools can enhance the accuracy and efficiency of environmental impact assessments.
What Participants Will Learn
- Understand LCA principles and their role in sustainability.
- Learn how Generative AI enhances LCA and automates impact reporting.
- Apply AI tools to real-world scenarios for optimized environmental decision-making.
- Explore AI-driven systems for scaling environmental impact assessments across industries.
Structure
Day 1: The Foundation â Data, Frameworks, and APIs
- Sustainability reports: GRI, ISO 14040
- Understanding APIs and LLMs
- AI security and privacy practices
Hands-on Lab
- Setting up Google Colab and securing API keys
- Loading sample data (
facility_emissions.csv) - Making the first API call with Python
Day 2: The Logic â Prompt Engineering & LangChain
- System vs. user prompts
- Preventing hallucinations and grounding AI
- Introduction to LangChain
Hands-on Lab
- Crafting and injecting prompts with data
- Testing and refining AI responses for compliance
Day 3: The Insight â Batch Processing & Document Output
- Automating repetitive tasks with loops
- Structuring reports and human-in-the-loop review
Hands-on Lab
- Automating data processing in Python
- Generating and exporting reports in Markdown
Important Dates
Registration Ends
04:30 PM
Workshop Dates
2026-02-25
5:30 PM
5:30 PM
What You Will Gain
Outcomes
Who Should Attend
- Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
- Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
- University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
- Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
- Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.