Jason Jeffrey Jones | Searcharxiv

arXiv2026

Building the Ipseome: Large, Free, Open, Human Identity Data

Shared data accelerates scientific progress. Here, I describe the ipseome -- the largest free and open dataset on the topic of human identity. The dataset is designed as reusable research infrastructure, with publicly accessible data repositories, documented measurement procedures, and versioned files for cumulative research on identity. First, I present the motivation for and the ipseological principles driving construction of the ipseome. Then, each component is introduced and discussed. Finally, I summarize the current state of progress toward the ultimate goal.

cs.DL↗

arXiv2024

Support for AI Development -- Automated Daily Measurement with Open Data and Code

This manuscript presents and advocates for a new form of scientific communication: free and open nowcasting of public opinion via web dashboard. I present an open-source automated system that gathers new human responses to survey items daily, anonymizes and publicly distributes microdata, and presents analyses through a publicly viewable Web dashboard. A demonstration implementation tracked support for further development of artificial intelligence among American adults. As of 2026-05-31, the system had autonomously produced 766 daily estimates of support from N=8551 respondents. The findings underscore the need for continuous, high-frequency surveys to accurately track shifts in public opinion on transformative technologies like AI. I argue that more scientists should adopt the method of open nowcasting, because it encourages transparency in research design and eases replication.

cs.CY↗