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Utilizing Time Series Analysis using Facebook’s Prophet to Analyze Firearm Permits
The debate over gun ownership and regulation in the United States remains a contentious issue, with arguments often centered around interpretations of the Second Amendment, public safety concerns, and the effectiveness of existing policies. To inform these discussions, examining the available data on firearm sales and background checks is crucial.
In this blog post, we’ll be diving into the FBI’s National Instant Criminal Background Check System (NICS) data, as compiled by the Data Liberation Project. NICS was mandated by the Brady Handgun Violence Prevention Act of 1993 and launched by the FBI in 1998. It’s used by Federal...
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Convolutional Neural Networks and HDBSCAN for Tagging Handwritten Archival Material
Handwritten archival materials present a unique challenge for automated tagging and categorization. Traditional optical character recognition (OCR) techniques still often struggle with the variability and complexity of handwritten text. As a result, most handwritten material is manually tagged and categorized by human archivists, which is a time-consuming and labor-intensive process. In many cases, historical documents may use a script or writing style that is no longer in common use. Most students are no longer taught cursive, making it difficult for younger generations to read historical documents. While transformer models have shown promise in transcribing handwritten text, they require large...
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Mustaches, Unibrows, and Shalwar Khameezes: How I Learned New Stereotypes about Myself through AI
Recently, The Verge posted a story about attempting to create an Asian man with a white woman If you read the original article, you will find that the author struggled to generate the images with image generators attempting to give the woman “Asian features.” Because the majority of these image generators are trained on datasets that predominantly feature white individuals, the AI struggled to accurately represent an Asian man without relying on stereotypes and tropes. In addition, stereotypical images of Asian men are prominent throughout the Internet.
At one point, Meta banned keywords that were related to Asians....
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A Geospatial Analysis of Unaccompanied Migrant Children using Anselin Local Moran's I
In the last blog post, I worked on the data set that the New York Times released about unaccompanied migrant children in the United States. These are children who have crossed the border into the United States without their parents or legal guardians.
A particularly useful element of the data is the spatial and time data. We have information about when individuals entered the United States, their country of origin, and where they were placed. This allows for some interesting analysis and visualizations. For instance, we can see that while there are children from around the globe, we have...
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Prompt Exploration of AI Image Diffusion Models for Students
For the last few years, I have had my students explore AI image generation using text prompts. It’s been a fascinating journey to see how the technology has progressed and what students can create with it. When the technology had not been so prominent, I used to have the students do a small competition using Runway. At first, it was very difficult for students to get good results, as the models were not as advanced.
However, as the technology improved, students were able to create increasingly impressive images with their prompts. Perhaps more importantly, the “wow” factor had gone....
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Exploratory Analysis of Unaccompanied Migrant Children Data
Recently, the New York Times released data looking at the number of unaccompanied migrant children who have crossed into the United States. The U.S. Department of Human Health and Services keeps this data, and the organization was able to gain access to it through the Freedom of Information Act. Conditions for often these children are dire, with many facing violence, abuse, and poverty. As the New York Times has noted, Americans have used these children to build roofs and work the night shift of dangerous jobs. Frequently, the federal agencies ignored numerous warnings about the...
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An Undue Burden: A Look at Digital Humanities Conference Travel
About a year ago, I updated my GIS time-lapse map looking at the disproportionate travel that digital humanities scholars in the Global South took to attend the annual Digital Humanities conference. The map itself uses data from the Index of DH Conferences put together by Matthew D. Lincoln, Scott B. Weingart, and Nickoal Eichmann-Kalwara. Over time, there have been updates to the Index, and so I’ve been able to update my map accordingly. To create the visualization, I reverse-geocoded the institutional affiliations of authors in the dataset and the conference hosting institutions using ArcGIS’ API through tidygeocoder....
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Unaccompanied Migrant Children Database
The following is a searchable database for the dataset the New York Times released containing information about unaccompanied migrant children. These are children who have crossed the border into the United States without their parents or legal guardians. The hope is that organizations and communities can develop targeted interventions and support systems to protect these vulnerable children and ensure their safety and well-being. Try searching for your zip code and city to see how many unaccompanied migrant children are in your local area.
Note: For mobile users, the database may not run properly due to hardware limitations. A smaller version...