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2025
Zhenlong Li gave an invited talk at the 14th ISDE International Lectures themed on Unleashing the Potential of Generative AI in GIScience

The 14th ISDE International Lectures, themed “Harnessing the Power of Generative AI in GIScience”, successfully took place on 21 January 2025, attracting over 3,400 participants worldwide via platforms such as Zoom and the ISDE Bilibili channel. This event brought together leading experts in the field of GIScience to explore the…Read More

Zhenlong Li is elected as a Fellow of American Association of Geographers (AAG Fellow)

Dr. Zhenlong Li has been elected as a Fellow of the American Association of Geographers (AAG), joining 17 other distinguished geographers in this prestigious recognition for the class of 2025! The AAG Fellows is a recognition and service program that applauds geographers who have made significant contributions to advancing geography.…Read More

2024
New Course Offering: GEOG 560 Seminar in GIScience – Geospatial Big Data and GeoAI: Innovations and Applications

As the volume of geospatial data explodes—from satellite imagery and sensor networks to crowdsourced social media feeds—new analytical approaches are transforming our ability to understand and respond to real-world challenges. Dive into the cutting edge of Geographic Information Science (GIScience), where geospatial big data and AI fuel discovery, innovation, and…Read More

New article: Optimizing county-level infectious respiratory disease forecasts: a pandemic case study integrating social media-based physical and social connectivity networks

Access the full article at: https://doi.org/10.1080/17538947.2024.2436486 Abstract: Forecasting infectious respiratory diseases is crucial for effective prevention and intervention strategies. However, existing time series forecasting models that incorporate human mobility data have faced challenges in making localized predictions on a large scale across the country due to data costs and constraints.…Read More

GIBD will be organizing a series of in-person sessions at the 2025 AAG Annual Meeting in Detroit!

We are pleased to announce that GIBD Lab will be hosting a series of very interesting in-person sessions at the 2025 AAG Annual Meeting in Detroit!  We warmly invite you to join us and present your work in one of our sessions if it aligns with your research. To participate,…Read More

GIBD Lab Members Present Innovative Research at Penn State GIS Day 2024

The Geoinformation and Big Data Research Lab (GIBD) at Penn State was well-represented at the Penn State GIS Day 2024, held on November 13. This year’s event, themed “Geographers Take Action,” highlighted the transformative role of geographic information systems (GIS) in addressing pressing global challenges. GIBD lab members made significant…Read More

Introducting GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis

The Geoinformation and Big Data Research Lab have unveiled an innovative tool, GIS Copilot, which integrates Large Language Models (LLMs) into Geographic Information Systems (GIS) to enable users to perform spatial analysis using natural language. The GIS Copilot is a step closer to achieving the broader vision of Autonomous GIS,…Read More

M. Naser Lessani and Temitope Akinboyewa presented at the Middle States AAG Conference at West Chester University

Two of our PhD students M. Naser Lessani and Temitope Akinboyewa recently attended the Middle States AAG Conference at West Chester University in Pennsylvania, an event that brought together geographers, researchers, and professionals to explore emerging themes and share innovative research within the field. Attendees engaged in discussions on diverse…Read More

An autonomous GIS agent framework for geospatial data retrieval

Geographic information system (GIS) users and analyst need to fetching geospatial data for analysis or research tasks. Data fetching can be time-consuming and label intensive. Our recent study proposes LLM-Find, an autonomous GIS agent framework to retrieve geospatial data by generating and executing programs with self-debugging. LLM-Find adopts an LLM as…Read More

Huan Ning attended the National Neighborhood Data Archive (NaNDA) 2024 Summer Workshop

Our Ph.D. student, Huan Ning, attended the National Neighborhood Data Archive (NaNDA) 2024 Summer Workshop on August 14, 2024, at the University of Michigan, Ann Arbor, MI. He presented a project funded by the NaNDA Pilot Grant Award. The project is titled “Developing a Novel Wheelchair Mobility Index for Wheelchair…Read More