Mapping Innovation Systems Through the Web: Utility of AI-Oriented Methods and Use Cases

Mapping Innovation Systems Through the Web: Utility of AI-Oriented Methods and Use Cases

Watch the recording of this 4POINT0 webinar exploring cutting-edge AI-driven approaches to understanding innovation systems in our increasingly connected digital world.

Speaker

Dr. Arash Hajikhani
Research Team Leader, VTT Technical Research Centre of Finland
Adjunct Professor, LUT University

Abstract

Innovation doesn’t happen all at once—it unfolds in stages, across many organizations, and often in ways that are difficult to observe using traditional tools like patents or surveys. In today’s digital world, organizations leave behind rich traces of their work and ideas on the web. New advances in artificial intelligence (AI) now make it possible to gather and make sense of this vast online information.

This presentation introduces a new approach to studying innovation by using AI to analyze organizational websites. It explores how this method can reveal emerging technologies, track sustainability practices, and map how companies and regions are connected. Through real-world examples, the session will demonstrate how this approach can help us better understand how innovation spreads—and how we can use that knowledge to shape smarter strategies and policies.

Rerun

This webinar was also broadcast live on LinkedIn. Watch the LinkedIn live recording

About the speaker

Dr. Arash Hajikhani is a Research Team Leader at VTT Technical Research Centre of Finland, in the Business Foresight and Strategy unit. He is also an Adjunct Professor at LUT University, specializing in innovation and technology management. He advises the European Commission on critical technology developments and applies quantitative, data-driven methodologies to evaluate Science, Technology, and Innovation systems. Dr. Hajikhani is an active observer of generative AI, especially large language models, and works on their integration into research and organizational workflows.

This content has been updated on 2026-03-17 at 9 h 27 min.