278 lines
8.1 KiB
TeX
278 lines
8.1 KiB
TeX
\documentclass{beamer}
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% \leavevmode%
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% \hbox{%
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% \begin{beamercolorbox}[wd=\paperwidth,ht=8ex,dp=4ex,left]{footline}%
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% \includegraphics[height=6ex]{UW_Logo}%
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% Title info
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\title[Economic Impact of Data Centers]{Economic Impact of Data Centers}
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\author{Alexander Gebben \& Bailey Kirkland}
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\date{June \(\text{23}^{rd}\), 2026}
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\begin{document}
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\begin{frame}[plain]
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\begin{center}
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\huge\textbf{\inserttitle}\\
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\textcolor{black}{\large\insertdate}\\
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\textcolor{black}{\large\insertauthor}
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\vfill
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\begin{columns}
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\begin{column}{0.3\textwidth}
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\includegraphics[width=\textwidth]{Images/Economic-Impacts-of-Data-Centers.png}
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\end{column}
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\begin{column}{0.3\textwidth}
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\includegraphics[width=\textwidth]{CBEA_Logo_Large}
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\end{column}
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\end{columns}
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%\includegraphics[width=0.5\paperwidth]{Images/Economic-Impacts-of-Data-Centers.png}
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%\includegraphics[width=0.5\paperwidth]{CBEA_Logo_Large}
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\textcolor{white}{\insertinstitute}\\
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\end{center}
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\end{frame}
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\begin{frame}{Outline}
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\tableofcontents
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\end{frame}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Introduction}
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\begin{frame}{Introduction}
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What are Data Centers?
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\vfill
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\begin{columns}
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\begin{column}{0.2\textwidth}
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\includegraphics[width=\textwidth]{Small data center.jpg}
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\end{column}
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\begin{column}{0.81\textwidth}
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\includegraphics[width=\textwidth]{Utah_Data_Center_Panorama_(cropped).jpg}
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\end{column}
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\end{columns}
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\end{frame}
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%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Background}
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\begin{frame}{Data Centers}
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A data center is any facility that houses and runs computer infrastructure.
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\begin{columns}
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\begin{column}{0.5\textwidth}
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\begin{enumerate}
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\item Large Language Models
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\item Proof of work mining
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\item Cloud storage
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\item Hosting services
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\item Virtual private networks
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\end{enumerate}
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\end{column}
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\begin{column}{0.5\textwidth}
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\includegraphics[width=\textwidth]{Data-centre}
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\end{column}
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\end{columns}
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\end{frame}
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%%%%%%%%%%%%%%%%%
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\begin{frame}[plain]{Projected Energy Use}
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%\footfullcite{USEnergyInformation}
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\centering
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\only<1>{\includegraphics[width=0.8\textwidth]{data-centre-electricity-consumption-by-region-base-case-2020-2030.png}}
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\only<2>{\includegraphics[width=0.8\textwidth]{global-data-centre-electricity-consumption-by-sensitivity-case-2020-2035.png}}
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\only<3>{\includegraphics[width=0.9\textwidth]{Total.png}}
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\only<4>{\includegraphics[width=0.9\textwidth]{Plot.png}}
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\end{frame}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Bailey
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\begin{frame}{Data centers in Wyoming}
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\begin{itemize}
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\item Extent/map
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\item news articles discussing
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\item existing tax exemptions
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\item land, cool climate, etc.
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\item economic diversification lense
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\end{itemize}
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\end{frame}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Bailey
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\begin{frame}{Big questions}
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\only<1>{
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\begin{columns}[T]
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\begin{column}{0.5\textwidth}
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\textbf{Benefits}
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\begin{itemize}
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\item Large upfront capital investments
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\item Employment
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\begin{itemize}
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\item Temporary (e.g., construction) vs. permanent (e.g., operation)
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\item Wages
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\end{itemize}
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\item Fiscal Revenue
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\item Wage spillovers to surrounding labor market
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\item Productivity gains for co-located firms
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\end{itemize}
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\end{column}
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\begin{column}{0.5\textwidth}
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\centering
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\includegraphics[width=\textwidth]{data_center_benefits.png}
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\end{column}
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\end{columns}
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}
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\only<2>{
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\textbf{Costs}
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\begin{itemize}
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\item Energy consumption
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\begin{itemize}
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\item Prices
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\item Volatility
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\item Infrastructure expansion
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\end{itemize}
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\item Water consumption
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\item Land use pressure
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\item Workforce housing
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\item Light and noise pollution
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\item AI-driven downstream unemployment
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\end{itemize}
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}
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\only<3>{
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\textbf{Policy questions}
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\begin{itemize}
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\item Tax incentives
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\item Zoning policy
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\item Housing (temporary vs. permanent)
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\end{itemize}
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}
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\end{frame}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Alex
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\section{Modeling}
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\begin{frame}{Challenges}
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\begin{columns}
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\begin{column}{0.5\textwidth}
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\begin{enumerate}
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\item On-site or grid power
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\item<2-> Feedback of electricity demand
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\item<3-> Delayed industry data (NAICS)
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\item<4-> Rapid industry change
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\item<5-> Tax code
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\item<5-> Where are inputs purchased?
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\end{enumerate}
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\end{column}
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\begin{column}{0.5\textwidth}
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\includegraphics[width=\textwidth]{Images/Power_Gen.jpg}
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\end{column}
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\end{columns}
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\end{frame}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%Bailey
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\begin{frame}{What we do in this study}
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\begin{itemize}
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\item Commissioned by a data center
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\item Possible use cases
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\begin{itemize}
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\item argue for tax exemptions to business council
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\item garner some public support
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\item prepare county/town with some sense of expectations around employment effects, population effects, temporary housing needs, etc.
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\end{itemize}
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\end{itemize}
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\end{frame}
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\begin{frame}[c]{Scenario}
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\begin{itemize}
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\item Lincoln County Wyoming
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\item Construction from 2027 until 2030
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\item Operates until 2060
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\item \$2 Billion capital investment
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\item Data center facility
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\item Natural gas capacity
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\item Battery system
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\end{itemize}
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\end{frame}
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\begin{frame}{Modeling tax impacts of data centers}
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\begin{itemize}
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\item Tax PI at a state level
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\item EAD data
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\item connect line items to policy/model levers
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\item incorporate tax exemptions to certain industries
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\item consider industrial zone exemptions vs. data center exemptions
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\item consider sales tax generated from out of state purchases
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\item some screenshots
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\end{itemize}
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\end{frame}
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%%%%%%%%%%%%%%
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\section{Results}
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\begin{frame}{Job Outcomes}
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\centering
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\only<1>{\includegraphics[width=0.9\textwidth]{Images/Job_plot.png}}
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\only<2>{\includegraphics[width=0.6\textwidth]{Images/Job_Facet_Plot.png}}
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\end{frame}
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%%%%%%%%%%
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\begin{frame}{GDP}
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\centering
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\only<1>{\includegraphics[width=0.85\textwidth]{Images/GDP_Region_Plot.png}}
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\only<2>{\includegraphics[width=0.85\textwidth]{Images/GDP_Other_Counties.png}}
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\end{frame}
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%%%%%%%%%%%%%%%%%
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\begin{frame}[plain]{Usefull REMI Model Options}
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\centering
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\only<1>{\includegraphics[width=\textwidth]{Images/Custom_Industry.png}}
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\only<2>{\includegraphics[width=0.6\textwidth]{Images/Fuel_Cost_Adjustment.png}}
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\end{frame}
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\end{document}
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