ETD: 29th International Symposium
IIT Delhi
📌 About the Event
The ETD 2026 is a prestigious global summit hosted by the Central Library, IIT Delhi, in collaboration with the Networked Digital Library of Theses and Dissertations (NDLTD). This 29th edition is particularly significant as it centers on the seismic shift in academia: The Age of Artificial Intelligence.
ℹ️ Event Overview
- Host: Central Library, IIT Delhi.
- Venue: Indian Institute of Technology (IIT) Delhi, New Delhi.
- Core Focus: Digital repositories, Open Science, and AI-driven transformations in scholarly communication.
- Primary Audience: Librarians, LIS faculty, Data Scientists, and Research Repository Managers.
📅 Critical Timeline (Urgent Deadlines)
If you are planning to present research or attend, note the immediate cutoff:
- Extended Abstract Submission: 15 May 2026 (Closes tomorrow/very soon!).
- Notification of Acceptance: 30 May 2026.
- Full Paper Submission: 30 June 2026.
- Early-Bird Registration: Currently Open (Started 30 March).
- Conference Dates: 23 – 25 October 2026.
🏗️ Key Themes & Objectives
The symposium aims to bridge the gap between traditional archiving and the future of digital knowledge:
- AI Integration: Exploring how AI can automate metadata generation, improve discovery, and detect plagiarism in electronic theses.
- Open Science: Promoting global access to research data and standardized preservation.
- Scholarly Communication: Discussing the evolving role of repositories in an era of rapid digital dissemination.
- Best Practices: Sharing global case studies on repository management and interoperability.
🏆 Why Attend?
- Innovation Hub: Learn about AI tools specifically designed for managing large-scale academic datasets.
- Global Networking: Connect with policymakers and repository experts from across the NDLTD international network.
- The Venue: Experience the academic rigor of IIT Delhi while exploring the historic landmarks of India’s capital, including the Red Fort and Qutub Minar.
- Interdisciplinary Exposure: See how Data Science and Library Science are merging to create “Smart Libraries.”