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X-WR-CALDESC:Events for The National Consortium for Data Science
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DTSTART;TZID=America/New_York:20240911T180000
DTEND;TZID=America/New_York:20240911T190000
DTSTAMP:20260410T032335
CREATED:20240815T031838Z
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SUMMARY:Careers in Data Science: Measuring Social Impact at the Kennedy Center
DESCRIPTION: From liberal arts major to major impact\nWhat do Musical Theater\, Psychology\, History\, and Business Administration all have in common? These fields can all provide you with successful tools and experiences that can lead to valuable careers incorporating data science. In this session\, Trés McMichael\, Senior Program Manager for Social Impact Civic Alliances at the Kennedy Center in Washington\, D.C.\, will discuss his pathways from a liberal arts education to a non-profit professional who has incorporated research\, evaluation\, and data visualization as a tool to support arts\, culture\, and community change. \nRegister for the Event \nAbout Trés McMichael\nTrés McMichael is a joy-filled arts leader and performer who is passionate about community empowerment\, arts education\, and social justice. Originally from Baltimore\, Trés is an alumnus of Elon University\, where he graduated with degrees in Music Theatre (BFA) and Arts Administration (BA). He also holds an MFA in Arts Leadership and a certificate in Fundraising Leadership from Seattle University. While pursuing his graduate degree\, he was named an EDI Research Fellow with the Association of Arts Administration Educators. He has worked with various nonprofit and arts organizations such as Arena Stage\, DC Collaborative\, and the NAACP. Through his work\, Trés strives to do work that is in and with\, not to or for\, the communities he serves.
URL:https://datascienceconsortium.org/event/careers-in-data-science-aug-2024/
CATEGORIES:Careers in Data Science
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DTSTART;TZID=America/New_York:20240917T120000
DTEND;TZID=America/New_York:20240917T130000
DTSTAMP:20260410T032335
CREATED:20240607T061012Z
LAST-MODIFIED:20240607T065150Z
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SUMMARY:Scaling Up: Developing a Coordinating Hub for Data Competency
DESCRIPTION:In this session\, Dr. Crista Arangala will introduce Elon University’s Data Nexus. The Data Nexus initiative was created as part of a five-year Quality Enhancement Plan developed during its most recent accreditation process and serves as a coordinating hub for data competency initiatives at the university throughout the plan and beyond. In its first year\, Data Nexus has been focused on assessing foundational technology and statistical competency of all of Elon University’s undergraduate students. Through Data Nexus\, Elon University has also created a process for faculty across the institution to apply for courses to be designated as Data-Intensive and has introduced a new Micro-credential in Advanced Data Competency. Data Nexus also offers a variety of programming across campus including data camps\, workshops\, and data challenges. Data Nexus also offers grants to support faculty\, staff\, and student data-driven initiatives. In year two\, Data Nexus will continue to develop curricular and co-curricular data-intensive experiences for the general Elon University undergraduate student body. \nRegister for the Event \nAbout Dr. Crista Arangala\nDr. Crista Arangala is the Director of Elon University’s Data Nexus and Professor of Mathematics. The Data Nexus initiative was created as part of a five-year Quality Enhancement Plan developed during its most recent accreditation process and serves as a coordinating hub for data competency initiatives at the university throughout the plan and beyond. Dr. Arangala has a PhD in mathematics from the University of Cincinnati and a Masters in Higher Education from Stony Brook University. She has been at Elon University in North Carolina for 24 years\, researching in a variety of fields including inverse problems\, applied partial differential equations\, applied linear algebra\, mathematical modeling\, and service-learning education. Dr. Arangala has a special interest in inquiry\discovery learning and ran a traveling science museum with her Elon University students in Kerala\, India for 9 years. Dr. Arangala was chosen to be a Fulbright Scholar in 2014 as a visiting lecturer at the University of Colombo where she continued her projects in inquiry learning in Linear Algebra and began working with a modeling team focusing on Dengue fever research. Dr. Arangala has published several textbooks that implores inquiry learning techniques including Exploring Linear Algebra: Labs and Projects with Matlab and Mathematical Modeling: Branching Beyond Calculus. Her latest text\, Linear Algebra with Machine Learning and Data\, connects her teaching interests of infusing data into the mathematical curriculum and her research interests in applied linear algebra.
URL:https://datascienceconsortium.org/event/scaling-up-sept-2024/
CATEGORIES:Networking
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240926T130000
DTEND;TZID=America/New_York:20240926T170000
DTSTAMP:20260410T032335
CREATED:20240607T044334Z
LAST-MODIFIED:20241204T152635Z
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SUMMARY:Foundations of AI: AI for Non-Coders
DESCRIPTION:Ever say to yourself: what even is an LLM? How do I get from chatting with ChatGPT to talking about larger AI products? How do I answer these nonstop questions from colleagues\, customers\, leadership and more in this new landscape? \nDo you find yourself needing expertise on AI that\, quite frankly\, you didn’t sign up for? \nThis course is designed to meet the needs of people who are not necessarily well-versed in math and science but who know that they need to know the basics about AI in this changing landscape. \nYou’ll learn about what AI can accomplish\, the intuitions behind how it works (no math or coding necessary!)\, and opportunities and risks. You’ll come away feeling confident that you know not only what an LLM actually is\, but understand all the jargon people use to talk about it. \nRegister for the Course\n  \n  \nScholarship Information\nNCDS is pleased to offer a limited number of full scholarships for faculty\, staff and students at two-year and four-year institutions to attend the Foundations of AI: AI for Non Coders course on Thursday\, Sept. 26 from 1:00 p.m. – 5:00 p.m. ET. \nTo apply for a full scholarship\, submit your application via this form. DO NOT USE THE MAIN REGISTRATION FORM TO APPLY FOR THE SCHOLARSHIP. 
URL:https://datascienceconsortium.org/event/foundations-of-ai-sept-2024/
CATEGORIES:Upskilling
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