A community network for academic data science leaders, practitioners, and educators

The Academic Data Science Alliance (ADSA) builds communities of academic data science leaders, practitioners, and educators, and academic-adjacent colleagues, to thoughtfully integrate data science best practices in higher education. Our members connect and share their data-intensive approaches and responsible applications. Learn more!

~ Latest Academic Data Science News ~

pulled from our newsletter pipeline

CDC data reveal new racial disparity with COVID-19 deaths - Los Angeles Times, Karen Kaplan. "Here’s another way COVID-19 isn’t playing fair when it comes to race: It claims the lives of Black and Latino Americans earlier than whites."

ACM statement on facial recognition technology - AIhub, Association for Computing Machinery.  "...when rigorously evaluated, the technology too often produces results demonstrating clear bias based on ethnic, racial, gender, and other human characteristics recognizable by computer systems. The consequences of such bias, USTPC notes, frequently can and do extend well beyond inconvenience to profound injury, particularly to the lives, livelihoods and fundamental rights of individuals in specific demographic groups, including some of the most vulnerable populations in our society."

How we need to change for more inclusive and open publication practices - ACM Interactions, Julie Williamson. In "A Call to Action for the ACM," Black scholars made the direct recommendation to implement either fully open or two-way anonymization for peer review.

"ADSA has provided a collection of hundreds of datasets and tools all categorized [sic] by type and topic."

-SDC Counting Medium post.