Author: Tiffany Oliver; Publisher: TEDx Talks; Publication Year: 2022. In the following talk, Dr. Oliver talks about her work to address the underrepresentation of women and BIPOC in data science. In 2021, Dr. Oliver created a summer research program at Spelman College, a historically Black women’s college, to introduce Spelman students to data science. There are 2 notable aspects of Dr. Oliver’s…
Author: Genevieve Smith, Ishita Rustagi; Publisher: Stanford Social Innovation Review; Publication Year: 2021. The following article discusses the effect of gender bias in data science. A very interesting example is the credit lines and credit scores given out to men and women with very similar profiles. In one case, a husband and wife compared their Apple credit lines only to find out the man had a credit line of 20 times that of his wife. The authors note that…
Author: Christian Schitton; Publisher: Medium; Publication Year: 2022. The following article discusses how synthetic data is a less well-known area of data science. Synthetic data addresses issues of insufficient representation in data. For example, models can become biased when trained on datasets where demographics are underrepresented. By creating synthetic, but demographically…