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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. 超级微皮恩安卓破解版
国内iphone怎么上推特
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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.
国内iphone怎么上推特
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国内iphone怎么上推特
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国内iphone怎么上推特
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国内iphone怎么上推特
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国内iphone怎么上推特
CZI's Essential Open Source Software for Science program supports maintenance, growth, development, and community engagement for open source tools that are critical to biomedical research, including domain-specific software and foundational tools. Applications due: August 4
"ADSA has provided a collection of hundreds of datasets and tools all categorized [sic] by type and topic."
-SDC Counting Medium post.
国内iphone怎么上推特
Check out our COVID-19 page for our collection of data and data science resources related to the COVID-19 pandemic.