This project carried out digital and AI experiments to explore The Electrical Age, making its contents more accessible, discoverable, and ready for historical and computational analysis.

The project created various experimental outputs that you can find on this page. They include a searchable dataset of individuals mentioned in the journal, a searchable dataset of locations mentioned in the journal, and a searchable dataset of articles and advertisements mentioned in the journal. The project also produced an Index of People Mentioned and Depicted in the journal in pdf format.

We also created tools that provide insights into the generated data. The Persons Explorer tool gives statistical information about the presence of a person in the journal, while the Person Network tool lets you drill into the individual connections to locations and people frequently mentioned alongside a person. The Connections Explorer tool lets you find connections (based on page-proximity) to other people, locations, articles and advertisements mentioned in the journal. There are other tools you can also explore.

The work was carried out in collaboration with the IET Archives (Institution of Engineering and Technology), with supporting funding provided by the Digital Kickstarter fund from University of Leeds. Technical development was led by Dr Daniel Belteki.

For more information about The Electrical Age Journal, visit the IET Archives online exhibition. Digitised issues of the journal can be downloaded in PDF format as ZIP files at the bottom of that page.

The original dataset was extracted from the journal using Gemini 2.5 Flash and Gemini 3 Flash. Since this is an experiment, the generated data at large scale may contain errors. Although manual review was undertaken for parts of the produced output, we are still in the process of reviewing it and making changes. When using the guide, we recommend always consulting the digitised versions of the issue referenced in the dataset for confirming the accuracy of the information.

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