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X-WR-CALDESC:Events for The National Consortium for Data Science
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DTSTART;TZID=America/New_York:20230420T110000
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UID:10000055-1681988400-1681992000@datascienceconsortium.org
SUMMARY:DataBytes: Data Ethics
DESCRIPTION:The National Consortium for Data Science looks forward to hosting Anisha Nadkarni\, Data Ethics Officer and Lead Data Analyst at Randstad\, on April 20 for our next DataBytes event as she walks us through the practical challenges she faces in work and how she addresses these issues. \n  \n\nData ethics is a growing concern in all industries\, especially as issues such as algorithmic bias\, informed consent\, and privacy become more nuanced. Additionally\, with artificial intelligence and machine learning tools gaining traction at a rapid speed\, it is more imperative than ever that organizations establish strong ethical guidelines around the data collected from client projects\, research endeavors\, and business affairs. Join Anisha Nadkarni\, Data Ethics Officer at Randstad Global\, on Thursday\, Apr. 20\, from 11 a.m.-12 p.m. ET\, as she walks us through a day in the life of a data ethicist. We’ll hold a Q&A session with Nadkarni at the end of the meeting.
URL:https://datascienceconsortium.org/event/databytes-data-ethics/
CATEGORIES:DataBytes
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2023_04_DataBytes-for-web-02.png
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DTSTART;TZID=America/New_York:20230214T120000
DTEND;TZID=America/New_York:20230214T130000
DTSTAMP:20260929T012609
CREATED:20230209T175501Z
LAST-MODIFIED:20230505T045157Z
UID:10000047-1676376000-1676379600@datascienceconsortium.org
SUMMARY:DataBytes: Five ways that data visualizations can mislead (and how to fix them)
DESCRIPTION:Visualizations allow people to readily analyze and communicate data. However\, many common visualization designs lead to engaging imagery but false conclusions. By understanding what people see when they look at a visualization\, we can design visualizations that support more accurate data analysis and avoid unnecessary biases. \nJoin UNC Computer Science Assistant Professor Danielle Szafir on Tuesday\, Feb. 14\, from 12-1 p.m. ET\, as she walks us through best practices in data visualization and analysis. We’ll hold a Q&A session with Dr. Szafir at the end of the meeting. \nView a recording of the event here. \n  \n \nIf you would like to review content from the previous webinars in the series\, please click here to watch the recordings.
URL:https://datascienceconsortium.org/event/databytes-five-ways-that-data-visualizations-can-mislead-and-how-to-fix-them/
CATEGORIES:DataBytes,Professional Development
ATTACH;FMTTYPE=image/png:https://datascienceconsortium.org/wp-content/uploads/NCDS_Flyer_2023_02_DataBytes.png
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