• Extractive vs. Abstractive Summarization: Implications for Program Evaluation

    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 process. Among them, extractive and abstractive summarization are the most popular approaches. But what’s the difference between the two, and how do they impact program…

  • The RE-AIM Framework: Unlocking Potential in the Private Sector

    The RE-AIM Framework: Unlocking Potential in the Private Sector

    When you hear the term RE-AIM, your thoughts may immediately drift to public health and the implementation of health promotion programs. Although, indeed, the RE-AIM framework was initially developed to improve the reach and effectiveness of public health interventions, its principles have wide-reaching potential. In fact, businesses and organizations in the private sector can immensely…

  • How we used context to understand school safety

    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 and Community Violence, happening on Tuesday, October 24, from 12:30-2 p.m. ET. The ReSOLV team will discuss results from this seven-year longitudinal study examining the…

  • What I said for the opening of the GIS summit.

    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 united by a common goal – the earnest pursuit of knowledge and collaborative action guided by the UN Sustainable Development Goals (SDGs). Over the next…

  • The Living Wage and Health: Evaluation Implications

    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 outcomes. Let’s dig deeper and unraveling the connection between living wage, social determinants of health, and how this association could reshape approaches to community evaluation.…

  • Understanding Regression to the Mean.

    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 pivotal in predictive modeling and data analysis. This comprehensive guide will delve deep into this concept with a practical illustration using R programming language. By…

  • Strategies for Crafting Winning RFPs

    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. Game Theory & Proposals: An Intro Applying Game Theory to the Bid/No-bid Decision Competitive Analysis in Proposal Response Competitive Analysis in the Dark: Strategies for…

  • Understanding the Central Limit Theorem

    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 into bite-sized pieces. Moreover, we’ll illustrate this concept with some easy-to-follow R code examples. So, let’s jump right in! What is the Central Limit Theorem?…

  • MLB walkup songs

    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 Zep is pretty popular in Atlanta’s clubhouse!

  • Data is everywhere.

    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 trove of data waiting to be discovered and examined. In this blog post, we’ll dive into the ubiquity of online datasets and how you can…

  • Feature Engineering vs. Exploratory Factor Analysis

    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 caught myself in a web of confusion, prompting me to take a step back and reflect. I pondered over a fundamental question: What really sets…

  • Competitive Analysis in the Dark: Strategies for Unknown Competition

    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. Game Theory & Proposals: An Intro Applying Game Theory to the Bid/No-bid Decision Competitive Analysis in Proposal Response Responding to a Request for Proposals (RFP)…