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Webinar: AI-Powered Solutions for Fostering Inclusivity in Geospatial Professions

3 April 2024 - 11-13 UTC by Zoom

FIG Task Force on the Surveyor's Profession: Evolutionary Diversity and Inclusion invite to webinar

The geospatial industry is rapidly evolving, and with the integration of Artificial Intelligence (AI), there is immense potential to enhance diversity and inclusion.

The FIG Diversity and Inclusion Task Force is proud to present a groundbreaking webinar, "AI-Powered Solutions for Fostering Inclusivity in Geospatial Professions," aimed at exploring innovative applications of AI to promote diversity and inclusivity within our professional community.

Join the Diversity and Inclusion Task Force Webinar:

Register here for the webinar


The primary objective of this webinar is to shed light on how AI technologies can be harnessed to create a more inclusive environment in geospatial professions. We aim to discuss and showcase AI-driven solutions that address challenges, provide opportunities, and contribute to a more diverse and equitable landscape.

Key Topics to be Covered:

AI in Recruitment and Talent Acquisition:

Inclusive Data Representation with AI:

AI-Driven Skill Development:

●       Implementing AI-powered educational tools for skill enhancement.
●       Bridging the skill gap through inclusive learning platforms.

Enhancing Workplace Inclusivity with AI:

Interactive Panel Discussion:

Target Audience:


Dr Lingli Zhu received her doctoral and master’s degrees in the field of Remote Sensing and Photogrammetry from Aalto University in 2015 and 2007, respectively. Currently, she is leading an AI group at the National Land Survey of Finland. She has published around 50 publications, including more than 20 Science Citation Index (SCI) journal papers, as the first author and contributed to three books, one chapter of which has been downloaded more than 3,800 times. She also served as a reviewer and guest editor for many Journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing(TGRS), ISPRS International Journal of Geo-Information, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and Sensors.  She is specialized in 3D modelling and feature extraction in the fields of photogrammetry, computer vision, laser scanning, machine learning, remote sensing and GIS.

Register for the webinar

Register here for the webinar

More information about the Task Force

The Task Force on LinkedIn




Louise Friis-Hansen
March 2024

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