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Extractive vs. Abstractive Summarization: Implications for Program Evaluation
Summarization is crucial to understanding and evaluating vast amounts of data, particularly in program evaluation. With the proliferation of data and technological advancements, methods have risen to automate the summarization… Read More
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How we used context to understand school safety
Webinar ALERT! Register today for the ReSOLV’s (Research on Lowering Violence in Communities and School) webinar, Keeping Schools and Communities: Using a Context-Sensitive Approach to Build Readiness to Prevent School… Read More
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What I said for the opening of the GIS summit.
Good morning/afternoon/evening everyone, With immense joy and anticipation, I welcome you to the GIS Virtual Implementation Summit. As the chair of this momentous gathering, I stand before a vibrant community… Read More
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The Living Wage and Health: Evaluation Implications
The conversation surrounding the concept of a “living wage” has been gaining traction, making headlines as a viable tool to combat various social issues, including poverty, inequality, and adverse health… Read More
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Understanding Regression to the Mean.
In today’s data-driven world, understanding key statistical concepts is vital. One such concept is Regression to the Mean. Often encountered in fields like healthcare, finance, and sports analytics, it is… Read More
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Strategies for Crafting Winning RFPs
First time here? Before you dig into this post on competitive analysis, check out our previous entries in this series on how to use game theory to respond to proposals…. Read More
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Understanding the Central Limit Theorem
Are you trying to grasp the concept of the Central Limit Theorem? Don’t fret; we’ve got you covered! In this blog post, we will break down the Central Limit Theorem… Read More
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MLB walkup songs
Just to illustrate the point from the previous post, I started playing around with this really small dataset that I found on Kaggle about MLB player walkup songs. Looks like… Read More
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Data is everywhere.
In today’s digital age, the phrase “data is the new oil” resonates more than ever. Whether you’re a seasoned researcher or a curious community member, the internet provides a treasure… Read More
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Feature Engineering vs. Exploratory Factor Analysis
Wading through the vast universe of data science, I often find myself stumbling upon terms or methodologies that, at first glance, seem to blend into one another. Just today, I… Read More
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Competitive Analysis in the Dark: Strategies for Unknown Competition
First time here? Before your dig into this post on competitive analysis, check out our previous entries in this series on how to use game theory to respond to proposals…. Read More
