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It's Raining Money: The Need For Name, Image, And Likeness (Nil) Reform From An Intellectual Property Perspective, Andres Eskenazi Bone

Denver Sports & Entertainment Law Journal

Sports are a cornerstone of American entertainment, with football, basketball, and baseball traditionally dominating. However, soccer, hockey, and tennis have also grown significantly, generating high revenue. While professional leagues' financial value is clear, collegiate and amateur leagues have become multi-million-dollar industries. Athletes worldwide have criticized these leagues for profiting from their name, image, and likeness (NIL) without fair compensation, especially compared to the billions earned by organizations like the NCAA.

This paper will first examine the NCAA’s amateurism policies and their impact on intellectual property (IP) rights. It will then explore new technologies—NFTs, blockchains, social media, and video games—that offer …

Vol. 29, No. 1: Table Of Contents, University Of Denver Sports & Entertainment Law Journal

Denver Sports & Entertainment Law Journal

No abstract provided.

Vol. 29, No. 1: Editor's Note, Taylor Millson

Denver Sports & Entertainment Law Journal

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The Power Of Self-Regulation: Justifying The Decriminalization Of Sports Manipulation & The Sports Bribery Act, Lynn Johnson

Denver Sports & Entertainment Law Journal

The government has long involved itself in the world of sports. The Sports Bribery Act, and similar state laws, prohibit the bribery of any athlete, coach, official, or other participant with the intent of manipulating the outcome of a sporting event. Importantly, these laws require prosecutors to convince a jury beyond a shadow of a doubt that an athlete acted with intent, with the specific knowledge or purpose, to influence the outcome of a sporting event. This paper will argue that while acts of sports manipulation are certainly morally blameworthy acts, they are not acts that should be regulated by …

Vol. 29, No. 1: Full Issue, University Of Denver Sports & Entertainment Law Journal

Denver Sports & Entertainment Law Journal

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Therepairer_Vol10no12_Dec1905

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Therepairer_Vol10no11_Nov1905

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Therepairer_Vol10no9_Sep1905

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Therepairer_Vol10no6_Jun1905

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Therepairer_Vol10no4_Apr1905

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Therepairer_Vol10no1_Jan1905

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Epochs Vol. 1 No. 2025 - Full Issue, Emma Pfannenstiel

Epochs Art History Journal

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Therepairer_Vol9no12_Dec1904

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Therepairer_Vol9no10_Oct1904

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Therepairer_Vol9no9_Sep1904

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Therepairer_Vol9no2_Feb1904

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Therepairer_Vol9no1_Jan1904

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The Assessment And Valuation Gis Toolbox For Nerds, Lauren Voelker, Daniel Fasteen Phd

GIS/ValuationTechnologies Conference 2026

This hands-on workshop explores the modern geospatial toolkit for property valuation and assessment. We’ll explore how spatial analytics can enhance assessment accuracy, uncover neighborhood patterns, and support more defensible valuations. We’ll start with the essentials—bringing your data into Pro and performing exploratory spatial analysis—before moving into advanced tools for valuation modeling. Learn how to apply exploratory regression, forest-based classification and regression, geographically weighted regression (GWR), spatially constrained multivariate clustering, and territory design tools to improve accuracy and insight in your valuation workflows. We’ll also introduce the R-Bridge for extending analytical capabilities with custom scripts. If time permits, we’ll conclude with …

Creating Machine Learning Models For Valuation, Joshua Jorgensen, Luke Jorgensen, Zach Knepp

GIS/ValuationTechnologies Conference 2026

In this workshop we will walk through the entire process of creating multiple types of machine learning algorithms to predict property values and how to evaluate their performance. We will explore the necessary steps for preprocessing the data for the machine learning models and even how to create data encoders. In addition we will create multiple machine learning models, and compare the performance of these machine learning models. To follow up with we will lightly look into the effects of hyperparameters on machine learning models. Lastly we will examine other types of machine learning models and applications that can be …

Therepairer_Vol8no12_Dec1903

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Therepairer_Vol8no11_Nov1903

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Therepairer_Vol8no10_Oct1903

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Therepairer_Vol8no7_Jul1903

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Therepairer_Vol8no6_Jun1903

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Therepairer_Vol8no5_May1903

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