Schedule

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2018
Monday, September 24th
1:30 PM

GIS 101 for Assessors

Brent Jones PE, PLS, Esri
Paul Bidanset PhD (Candidate), International Association of Assessing Officers

L 100 G

1:30 PM - 2:30 PM

GIS is ubiquitous in local and state government. But are you using your GIS to its full potential? This session will cover the use GIS in the assessor's office including simple maps, managing field operations, in-depth spatial analysis and leveraging external data sets.

2:45 PM

The Evolution of the Appraisal Office

Brandon Kay, BIS Consulting
Britt Martin, BIS Consulting
David Steele, BIS Consulting
Sandy Steele, BIS Consulting

L 100 G

2:45 PM - 3:45 PM

The evolution of local government assessment has seen tremendous changes with regard to mapping, property inspections, valuation protests, as well as payments over the last several decades. There has been a shift from conducting processes in person through paper, to more advanced online workflows that provide tremendous efficiencies and time savings. This session will provide a lighthearted but informative look at the evolution of these systems, and provide insights on the impacts they have had on the taxpayer relationship.

4:15 PM

Nigerian States – a Developing Pathway to Property Tax and CAMA Modernization

Christopher Barlow MBA, MA, Thomson Reuters

L 100 G

4:15 PM - 5:15 PM

Many state governments in Nigeria are laying the ground work to enact a modern property tax assessment for their communities. For some states, the starting point has been to modernize their cadastre and land registry technology and processes. For the more than eight years, Thomson Reuters has supported Nigerian state governments with their modernization efforts. This presentation will share progress made to date to lay the foundation for scalable, sustainable and secure property tax assessment; and share insights into next step efforts needed to further train and build capacity in-country in Nigeria.

Tuesday, September 25th
9:30 AM

The History of the Public Land Survey System

Richard Norejko CMS

L 100 G

9:30 AM - 10:30 AM

This presentation focuses on the Public Land Survey System. IAAO teaches "what” the system is in several courses, but this session will provide a complete historical perspective through the eyes of a colonial surveyor.

2:00 PM

Rise of the Machines: Drone Technologies

Gregory S. Brown CFA, Santa Rosa County, FL
Karl A. Sandell JD, CFE, Santa Rosa County, FL
Abigail Roberts JD, Rumberger Kirk & Caldwell

L 100 G

2:00 PM - 3:30 PM

It’s a Bird! It’s a Plane? Is it Superman? It’s a drone! Learn about drone technology and how they are being used for field data collection, imagery capture and workflow improvement. This session will also cover the legal considerations that your jurisdiction would encounter when using UAS/drones.

4:15 PM

Parcel Fabric Cleanup for the Masses

Daniel K. Sereno, County of Maui, HI

L 100 G

4:15 PM - 5:15 PM

Come join us as we show you how to quickly set up a staging database and then demonstrate simple models that allow you to either perform parcel fabric cleanup or prepare CAD lines or other GIS line work for importation or creation of a new parcel fabric.

Wednesday, September 26th
10:00 AM

An Appraiser's Guide to Cadastral Mapping with GIS

Parrish Simmons CMS, GISP, Richmond, VA

L 100 G

10:00 AM - 11:30 AM

This session will provide an overview of the tools in ArcMap designed for cadastral mapping and basic mapping terminology. A description of the common tools will be provided including how to use each tool, strength and weakness of the tool, and what is really important about each one.

2:45 PM

Bridging the Gap to Machine Learning in Assessing: Bringing Interpretability to the Models

Cory Yemen PhD Candidate, Rutgers University

L 100 G

2:45 PM - 3:45 PM

The inability to interpret how values are determined is often cited as the main impediment to deploying machine learning CAMA models. In this presentation, we show how Local Interpretable Model-Agnostic Explanations (LIME) can open up these black boxes. By presenting LIME results interactively in GIS, we show how to further extend clarity. Finally, we compare the performance and interpretability of several machine learning models to existing, state-of-the-art, linear regression models.