IAAO Research Exchange
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Fair + Equitable November 2024
No full textThe November F+E issue cover story reviews the uncertain future of downtown office space.
The issue also includes articles on: Bridging the gap between large and small jurisdictions Garage apartments gaining support in small communities AVMs, AI topics at international symposium New website, database in November; system will require member profile update Reminder: Election begins Nov. 1 Promote the value of membership in your office Meet the new IAAO instructors IAAO offering workshop on valuing properties with renewable energy resources Thought leader article blockchain technology Thank you to Library donors New IAAO designees In Memoriamhttps://researchexchange.iaao.org/f-e/1000/thumbnail.jp
Fair + Equitable June 2024
No full textThe June F+E cover story reviews proposals to eliminate property taxes and how those proposals often ignore the basic facts of life in state and local revenue management. In addition, the issue includes articles on: Embracing DEI: A Black woman’s perspective in a predominantly white male field Celebrating the nine women IAAO presidents: Dorothy Jacks, 2018 Meet the new IAAO instructors Robert Fisher: My IEW journey Why I give to IAAO 2024 Legal Seminar heads to Chicago Annual Conference news and notes Black homeowners start to close gap in property values Thought Leader article on integrated work-flows 2024 MAVS: ‘Challenges and Opportunities’ Library new materials New IAAO designees Career Center jobshttps://researchexchange.iaao.org/f-e/1004/thumbnail.jp
Localized Explainability for Machine Learning Valuation Models
No full textMachine Learning (ML) models have demonstrated remarkable performance in the valuation of real property but are often perceived as black boxes, raising concerns about trust and transparency. Explainability is the concept that clarifies the output of an ML model in a way that “makes sense” to people. At MPAC, in Ontario, Canada, we implement global and local approaches to explain our machine learning model behaviours. In the global approach, we show a big-picture view of the model, and how the features collectively affect the results. In the local approach, we concentrate on individual predictions by generating instance-specific explanations. SHapley Additive exPlanations (SHAP) is a unified framework that can be used for explaining the prediction of our ML model. Typically, the baseline value for these explanations is the average of predicted values and it is used for all properties within the model. We have customized the baseline for each property according to the typical property in a neighbourhood, which increases the relevance to the subject property and the explainability of the model
Transition challenges: ArcGIS Pro and the parcel fabric
No full textEver wonder what it takes to create a statewide parcel layer? Or what is it really like to implement the ArcGIS Parcel Fabric in ArcGIS Pro? What about how GIS is used in valuation in a County Assessor’s Office? Come hear fascinating modernization stories from members of our GIS community
Deep learning application in preparing property assessments
No full textThis presentation will show the audiences how to prepare assessments using deep learning (one of the machine learning technologies), specifically the Tensorflow Neural Network model. The presentation will demonstrate time adjustment analysis, data preparation, Tensorflow model building, evaluation of the model output, and prediction of final values. All the sales are single family properties
Challenges and solutions in implementing ad valorem tax: Insights from Poland
No full textIn modern societies, making changes arbitrarily without public participation seems unacceptable. A key issue in making any changes, including in tax systems, is compliance with the concept of good governance (European Commission, 2012 and 2020, ISO 37120, 2018). It is therefore essential to design the solutions for transformation so that it is not an arbitrary imposition of new rules. Still, a process in which the people and entities affected are actively involved, and the public administration is responsible for the well-being of every community member. The project focuses on introducing transparency and inclusiveness-oriented solutions to ensure public participation in the planning, implementation and promotion of the new tax system. The main barrier slowing down the system’s transformation is the high cost and equally high public resistance. A particular problem to be solved is the social unrest associated with introducing unpopular reforms. Modernization of property taxes is necessary for local government finances and bring the system in line with current solutions successfully applied in developed countries. The primary objective of the presentation is to present the principal obstacles encountered in the process of transitioning outdated tax systems into those characterized by fairness and adherence to market principles. Additionally, the study aims to propose optimal strategies for overcoming these challenges, utilizing Poland as a representative case study
Public Transparency, Insightful Analytics, Comprehensive Overview: Enhancing CAMA Accuracy and Efficiency
No full textProperty tax assessments are often plagued by issues of missing or incorrect data within Computer-Assisted Mass Appraisal (CAMA) systems, leading to over- or under-taxed properties. This presentation examines the critical need to identify outlier data and explores how integrating various solutions, can significantly enhance operational efficiency. By leveraging these tools, we can ensure better website coordination, accurate property assessments, and ultimately, greater public transparency and insightful analytics in property tax administration. We will highlight the story of Mecklenburg County, North Carolina, showcasing how these solutions have been successfully implemented to address these challenges
Hiring, Firing, and the Community College: Los Angeles County Edition
No full textOne of the assumptions of sales-based valuation and ratio studies is that properties that sell adequately and proportionally represent unsold properties. How can we test the truth of this assumption? This session demonstrates two methods for determining the degree to which sales represent unsold properties and precisely identifying properties that are not represented by sales
Weathering the Perfect Storm : Techniques for Addressing Record Value Increases
No full textBatten down the hatches! The Franklin County (OH) Auditor’s team will share how they weathered the “perfect storm” of the 2023 reappraisal through their innovative technologies in forecasting, preparing, and weathering historic value increases while ensuring the most fair and equitable appraisal ever
Assessing Like a Baseball Scout: Identifying, Analyzing, and Eliminating Evaluator Bias
No full textWhether you’re a property appraiser or a baseball scout, your work is dependent on your ability to eliminate biases in your appraisals or evaluations. This presentation will intertwine both worlds of evaluation and offer tips to appraisers, data analyst & managers on identifying, analyzing, and eliminating evaluator bias from appraisals