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X-WR-CALNAME:Edward J. Bloustein School of Planning &amp; Public Policy
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UID:10000164-1649421000-1649428200@dev.bloustein.rutgers.edu
SUMMARY:Intelligent Informatics at Rutgers: Data Visualization with Python Jupyter Notebooks – A Hands-on Introduction
DESCRIPTION:The session consisted of brief presentations\, with around 100 minutes of interactive work-along demo of data visualization with Jupyter Notebooks\, and ended with Q&A. Participants learned to create data visualizations and can opt to either access Rutgers University’s high-performance computing (HPC) platform/cloud* or to run the code locally on their own computers. \n\nDr. Bala Desinghu\, Senior Scientist from OARC\, Rutgers University provided an interactive introduction to data visualization with insights on the use of high-performance computing.\nDr. Abhishek Tripathi\, Associate Professor\, School of Business\, TCNJ\, introduced the use of Python libraries such as Seaborn\, Plotly and Cufflinks for creating advanced and interactive data visualizations.\nDr. Jim Samuel\, Associate Professor\, Rutgers Bloustein School\, concluded the session with insights on the use of Artificial Intelligence for visualizations and language data visualizations.\n\nThis workshop was hosted by the Rutgers Urban and Civic Informatics Lab (RUCI Lab) at the Bloustein School and the Rutgers Office of Advanced Research Computing and sponsored by the Bloustein School Master of Public Informatics program. It was organized by Dr. Bala Desinghu and Dr. Jim Samuel in collaboration with our partners\, the Eastern Regional Network (ERN)\, the Northeast Big Data Innovation Hub (NEBDI Hub)\, and the New Jersey Big Data Alliance (NJBDA).
URL:https://dev.bloustein.rutgers.edu/event/intelligent-informatics-data-visualization-python-jupyter/
LOCATION:Virtual
CATEGORIES:Informatics,Public,Virtual
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DTSTART;TZID=America/New_York:20220331T190000
DTEND;TZID=America/New_York:20220331T203000
DTSTAMP:20260521T093114
CREATED:20220201T214150Z
LAST-MODIFIED:20231107T214346Z
UID:10000165-1648753200-1648758600@dev.bloustein.rutgers.edu
SUMMARY:Intelligent Informatics at Rutgers: Introduction to the Power of GitHub for Analytics
DESCRIPTION:This workshop instructed participants in how to get started with GitHub from scratch\, including the basics of GitHub (account creation\, organization use\, permissions\, and more); using GitHub to manage code and projects for academic research and teaching; best practices for data science workflows in GitHub; GitHub Actions for automated web scraping\, data acquisition and dynamic data visualizations via RMarkdown; and publishing static websites and hosting them via GitHub pages. \nThis workshop was led by Gavin Rozzi\, Research Computing Specialist at the Rutgers Urban and Civic Informatics Lab (RUCI Lab). Gavin also teaches graduate courses in the Bloustein School’s Master of Public Informatics Program.
URL:https://dev.bloustein.rutgers.edu/event/intelligent-informatics-github-analytics/
LOCATION:Virtual
CATEGORIES:Informatics,Public,Virtual
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DTSTART;TZID=America/New_York:20211112T120000
DTEND;TZID=America/New_York:20211112T133000
DTSTAMP:20260521T093114
CREATED:20210912T204558Z
LAST-MODIFIED:20231107T214753Z
UID:10000166-1636718400-1636723800@dev.bloustein.rutgers.edu
SUMMARY:Intelligent Informatics at Rutgers: Public Informatics for a Better Future: Textual Analytics with R and Social Media Data
DESCRIPTION:In this virtual workshop\, Dr. Jim Samuel\, Executive Director of the Bloustein School’s Master of Public Informatics\, provides an interactive introduction to textual analytics and natural language processing. The session includes a presentation and an approximate 30-minute interactive work-along demonstration for textual analytics using R-Studio. Participants will learn to generate insights from social media data related to current events or issues of public importance.
URL:https://dev.bloustein.rutgers.edu/event/intelligent-informatics-texual-analytics-r-social-media-data/
LOCATION:Virtual
CATEGORIES:Informatics,Public,Virtual
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