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|Using Research and Technology to Tackle Gender Bias
|May 8 2019
|Qualitative and mixed methods research studies have provided insight into the language and patterns associated with unconscious bias across multiple fields. These patterns can be converted to rules for NLP and other text analysis programs making it possible to identify bias within a written document. This talk will explore one approach using qualitative research in gender bias and letters of recommendation and evaluation to define rules for a web-based automated text analysis program using NLP. The role of research and technology in addressing structural issues such as bias will be discussed and participants will be encouraged to think about ways in which existing research might be used to inspire new solutions to social problems.
|How a File Format Led to a Crossword Scandal
|May 9 2019
|In 2016 I designed a plain-text file format for crossword puzzle data, and then spent a couple of months building a micro-data-pipeline, scraping tens of thousands of crosswords from various sources. Then, having all those crosswords in a simple format, I wanted to see if there were any common grid patterns--and discovered egregious plagiarism by a major crossword editor that had gone on for years. This talk would cover the file format, data pipeline, and the design choices that aided rapid exploration; the evidence for the scandal, from the initial anomalies to the final damning visualization; and what it's like for a data project to get 15 minutes of fame.
CREATE TABLE [talks] ( [title] TEXT, [speaker] TEXT, [time] TEXT, [day] TEXT, [room] TEXT, [url] TEXT, [datetime] TEXT, [abstract] TEXT, [image] TEXT )