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The Importance of Equity in Property Tax Valuations
No full textEnsuring that all properties within a jurisdiction are assessed on an equitable basis is critical to creating a tax base that is regarded - by taxpayers and other stakeholders - as fair and equitable. Equity in assessed values is therefore an essential requirement of a properly functioning property tax system. This session will look at the various definitions of equity in different jurisdictions and consider the extent to which they do - or do not - achieve an equitable outcome for property taxpayers
FEMA’s 50% Rule: Is Your Jurisdiction Prepared?
No full textFEMA\u27s 50% Rule presents unique challenges to assessment jurisdictions across the nation within Special Flood Hazard Areas – whether coastal or inland. Don\u27t be blindsided by unanticipated expectations of your office and turn your office into an important contributor to the recovery of your community
Fair + Equitable October 2025
No full textThe October 2025 issue of F+E offers stories on the recent annual conference, along with industry news. Nearly 1,700 attended the annual conference New IAAO Class of Fellows announced Volunteers needed for committees, task forces 2025 IAAO award winners & CEAA recognition Updates to the Standard on Ratio Studies 2026 IAAO Board candidates and election New York City\u27s Department of Finance\u27s apprenticeship program Nov. 7 is Legal Seminar early registration deadline Las Vegas is leading nation in glut of houses The need for regular salary studies Thought leader article on how location intelligence enhances efficiency, fairness, and public confidence New designees and career opportunities.https://researchexchange.iaao.org/f-e/1031/thumbnail.jp
Converting SPSS regression models to Python regression models using Jupyter Notebook
No full textThis workshop will demonstrate how to convert an existing SPSS regression model to a Python regression model within the Jupyter Notebook development environment. This course will cover such topics as: Differences between SPSS, Python and Jupyter Notebook Understanding the Pandas statistical package Importing CAMA data Creating additive and multiplicative models with Python Defining and using functions for modeling Using graphics to visualize modeling results Exporting predicted values Automating the modeling process This workshop will walk through taking an existing SPSS model and convert it into Python model within Jupyter Notebook. This workshop is most appropriate for experienced SPSS modelers who would like to leverage the power of Python
Shifting organizational culture through onboarding and professional development
No full textThis presentation will discuss the creation of a comprehensive onboarding and professional development program for the Philadelphia office of property assessment. Creating an onboarding and professional development program helps to establish clear expectations, fosters an inclusive and positive work environment, and provides opportunities for growth. These programs can also significantly impact employee satisfaction, and overall organizational success. We will discuss the importance of aligning both programs with the organization\u27s culture, mission, and values while managing employees resistant to change. Additionally, we will examine the long-term benefits of a well-structured onboarding and professional development program, including improved employee performance and confidence, increased productivity, and improved team collaboration
Managing and monitoring the impacts of natural disasters on property values in Nova Scotia, Canada
No full textExamines natural disasters in Nova Scotia, including wildfires and floods; the Property Valuation Services Corporation\u27s response to these disasters, challenges, and future considerations
Democratizing property assessment data
No full textData democratization in government property assessment makes valuation data accessible, understandable, and usable for all. By shifting from siloed systems to open platforms, jurisdictions enhance transparency, equity, and efficiency. Overcoming privacy, digital divide, and funding challenges requires policy innovation. AI, automation, and public engagement will shape the future
AI-driven valuation of condominiums: From roots to networks
No full textThis presentation explains MPAC\u27s use of XGBoost in condominium model development, neural networks, OLS, SHAP, and machine learning in the model development
Crexi Intelligence: Commercial Real Estate Data for Property Valuation
No full textLearn how Crexi Intelligence helps Appraisers value properties in any markets using Crexi\u27s data on every property including comps, lease data, mortgage history, parcel details, demographics & owner dat
