Artificial intelligence and related technologies seem to have promise as groundbreaking and transformative elements in many areas of modern life, including local government. But significant questions remain about these technologies, both on a fundamental level and as they relate to civic life. These questions and more will be explored during a webinar titled “The Impact […]
We invite you to attend the 2023 New Jersey State Policy Lab Summer Intern Presentations, where this year's cohort of interns will be presenting their final research projects. The presentations are on Thursday, August 17th from 10am-noon. If you would like to attend, please fill out the following registration form, which includes the schedule/agenda for the event.
Schedule: https://go.rutgers.edu/ef43e5u6 9:00 AM- 10:30 AM; 11:00 AM-12:30 PM; 1:30 PM- 3PM; on Monday, August 14th and Tuesday, August 15th. Link to Poster Evaluations: https://go.rutgers.edu/postereval You are encouraged to score the posters using this link. Twenty percent of their grade is determined by the audience. We also love when faculty ask questions at the end of the presentations. […]
Schedule: https://go.rutgers.edu/ef43e5u6 9:00 AM- 10:30 AM; 11:00 AM-12:30 PM; 1:30 PM- 3PM; on Monday, August 14th and Tuesday, August 15th. Link to Poster Evaluations: https://go.rutgers.edu/postereval You are encouraged to score the posters using this link. Twenty percent of their grade is determined by the audience. We also love when faculty ask questions at the end of the presentations. […]
This event was hosted by the PISG, the MPI program and the Rutgers Urban & Civic Informatics (RUCI) Lab, the Bloustein Student Services and BGSA in collaboration with our partners at Rutgers University and our external collaborators. Event presented by Vivek Kumar, Marie Sklodowska-Curie Scholar, University of Cagliari, Italy Vivek Kumar is an NLP Enthusiast. He is presently working as a […]
THANK YOU TO ALL WHO ATTENDED Since 1994, the Alumni Achievement Awards have recognized Bloustein School alumni who have made exemplary contributions to their professions and communities, while demonstrating support of the Bloustein School. The purpose of the Bloustein School Alumni Hall of Fame, inaugurated in 2013, is to showcase and honor the current and […]
We welcomed our distinguished speakers from the AI for Good Lab @ Microsoft. Anthony Cintron Roman is the Director of Data Architecture & Strategy with the AI for Good Lab at Microsoft, where he works with a team of data engineers, data scientists and researchers in Machine Learning and data science-based projects across Microsoft AI […]
FIRST 3 PANELS: 10 am – 11:15 am | SECOND 3 PANELS: 11:30 am – 12:45 pm 10 am – 11:15 am PANEL A | Community Economic Development & Economic Development | Moderated by Professor Julia Sass Rubin | ZOOM ROOM LINK: https://go.rutgers.edu/2rnddx96 Ahmed Bajwa | Choose New Jersey: A Step into My Future Amanda Bruce| New Jersey Community Capital: Assessing a […]
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.
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.
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.