Welcome Dr. Elizabeth (Libby) Wentz Senior Vice President and Provost Joe Lucia Dean Temple Libraries Keynote Speaker Jane Clougherty

“Using GIS to study Environmental, Structural, and Social Determinants of Brain Aging” Erin Kulick, Assistant Professor Department of Epidemiology and Biostatistics “GIS Application for the Identification of Priority Areas to Reduce Seasonal Urban Air Pollution Severity Associated with Wildfires” Sara Grisales, PhD Student Department of Geography, Environment and Urban Studies “Mapping the Socio-Spatial Structure of Computer-Vision Predictions of Gentrification” Nii Quaye, PhD Student Department of Geography, Environment and Urban Studies “Philadelphia crime, socioeconomic status, and psychosis risk” Zeeshan Huque, PhD student Department of Psychology “Tracking Glacier Change with Undergraduates and Open Data” Atsushiro Muto, Associate Professor / Department Vice Chair Department of Earth and Environmental Science

“Temple University Main Campus Student Perception Analysis” Maximilian Waechter PSM in Geospatial Data Science “Developing a Spatial Schema and Workflow” Jason Bandjough PSM in GIS “Rivers to Results: Building Tools for Public Waterway Data collection” Alex Wynne PSM in Sustainability “Mapping Tree Maintenance to Reduce the Heat Island Effect for Northwest Philadelphia’s Trees” Simone Roberts PSM in Sustainability

Jasmine Upshaw Jones Research and Data Associate City of Philadelphia’s Department of Public Health Christina Malyshko GIS Analyst Langan Engineering and Environmental Services Lucas Snyder GIS Mapper Public Service Electric & Gas (PSE&G). As a

From uncovering features hidden beneath dense landscapes to assessing hurricane damage, GeoAI is changing how we extract information from imagery and turn it into actionable insight. In this introductory, hands-on workshop, participants will explore practical GeoAI workflows using ArcGIS Online and ArcGIS Pro. Working through real-world examples, participants will use pre-trained deep learning models in ArcGIS Pro to identify and extract features from imagery, examine model results, and explore the process of improving those results. Along the way, we’ll look beyond simply running a model to understand the iterative GeoAI workflow, including evaluating outputs, identifying where a model struggles, and making improvements to produce more useful results. No previous GeoAI or deep learning experience is required. The session is designed to provide an approachable introduction to how imagery, AI, and GIS come together to help solve challenging spatial problems. Brian James Baldwin, MURP <br> Lead Solution Engineer – Education

A map shows you where. A map story shows you why it matters. Scrolling narratives that move a reader from place to place have become a standard format for journalism, research communication, and community reporting — and they are within reach of anyone who can make a basic map. This session starts with craft rather than software: what makes a map narrative land, how to structure one, and when a scrolling story beats a slideshow or a guided tour. We will look at three real examples, including one that does not work, and figure out why. Then you will build and publish a short story of your own in ArcGIS StoryMaps, the tool included with Temple’s ArcGIS license, ending with the parts people usually skip — embedding it and citing your sources properly. Bring a topic and any data you have. If you took the ArcGIS Online session in October, you already have the account and can reuse a map you made there — but neither is required. This workshop will be offered as an online session via Zoom. You must register for this workshop to receive the Zoom link via a confirmation email. On the day of the workshop, use the link to join the session. Contact Felipe Valdez at tuq76851@temple.edu with any questions.

Who Builds the Map? Twenty-Five Years of Open Source Spatial Analysis Geographers have always built the instruments through which places are seen, measured, and compared. In this talk, I will discuss why it matters, now more than ever, to ask who builds those instruments, how they are built, and whose work counts as scholarship, especially when the instruments are software. As PySAL, the Python Spatial Analysis Library, marks twenty-five years, the talk looks back at how the project began and grew and forward to what its next decade needs, asking what running an open source project inside a university reveals about credit, collaboration, teaching, and community. Along the way it considers what open source means for who gets to take part in spatial analysis. No programming background is required.