Calendar of Events
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Reimagining the Harbor as a Hub
Reimagining the Harbor as a Hub
Join Waterfront Partnership of Baltimore for a free interactive webinar with UMBC Community Leadership Graduate Program Director Dr. Sally J. Scott and faculty member Dr. Joby Taylor, while they dig into the recommendations of their new paper, Reimagining the Harbor as a Hub.
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International Student Information Session
International Student Information Session
Join us on Tuesday, February 15, 2022 from 9 - 10:30 a.m. EST for a special event just for you - international prospective graduate students. This is your opportunity to meet your Graduate Program Director virtually, ask questions related to your program of interest, and receive guidance on international student visa policies, procedures and other international-related requirements.
2022 PTCMW-UMBC-Blacks in I/O Psychology Career Panel
2022 PTCMW-UMBC-Blacks in I/O Psychology Career Panel
Join the Personnel Testing Council of Metropolitan Washington (PTCMW), the University of Maryland Baltimore County (UMBC) I/O Psychology Graduate Program, and Blacks in I/O Psychology for a virtual career panel and networking event. Panelists will share their defining experiences as I/O Psychologists and offer career advice to students and early career professionals.
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Data Science Speaker Series: Visualizing the Day in the Life of a Data Visualizer
Data Science Speaker Series: Visualizing the Day in the Life of a Data Visualizer
Data Science and visualization in the academic setting differs greatly from the vocational arena. Speaker Joe Buzzelli's career features over ten years of working experience as a consultant. In this lecture, he will share his experiences related to data visualization and data engineering. The session will be held virtually on Friday, February 25th from 12:00 […]
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AI Alignment Considerations for Data Science Practitioners
AI Alignment Considerations for Data Science Practitioners
This Data Science Speaker Series session featuring Grant Fleming, a Data Scientist at Elder Research, Inc., will discuss a selection of best practices and software tools to mitigate the risks of harmful predictions in certain classification and NLP contexts.
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