Please join us as we explore the world of AI with help from Rutgers experts who wrestle with these questions daily.
Socially Cognizant Robotics: Preparing for a future in which humans and robots regularly interact and society develops new rules.
The New Jersey Big Data Alliance (NJBDA) is an alliance of leading higher education institutions, government organizations and industry members that catalyzes research and collaboration in advanced computing and data analytics, education, technology and artificial intelligence (AI). NJBDA’s annual symposium is New Jersey’s premier conference for big data, advanced computing and AI, consistently attracting hundreds […]
Rethinking AI for Shared Empowerment (RAISE) 2024 is a public informatics data science competition that will test skills in data analysis and problem-solving while highlighting the importance of data analysis in enabling improvements to public policy and social empowerment. Hosted by Rutgers Bloustein School’s Master of Public Informatics (MPI) program, this year's theme is Does […]
You are invited to our third annual Bloustein Research Day! It will be an in-person event. Anyone may register to attend. Faculty and staff may sign up to deliver lightning talks. Graduate and undergraduate students may sign up to present posters and potentially win a Best Poster Award. We strongly encourage participation by all members of the Bloustein community. Sign up today!
The Public Informatics Listening Session is an open and informal forum discussion for students to provide feedback, offer suggestions, and hear the most up to date news about the program. Hosted by Jim Samuel, Public Informatics Program Director; Shravani Kallur, VP of Public Informatics Program for Bloustein Graduate Student Association; Courtney Culler, Associate Director for […]
Collaborators: AI Social Impact Lab & Garfield City Council An Interactive Presentation By Bloustein AI Course Participants Faculty Advisor: Professor Jim Samuel, Rutgers Bloustein School Host Program: MPI - https://informatics.rutgers.edu/ Register: https://go.rutgers.edu/AI-MPI-webinar
Presented by Dr. Abigail Andrews, Post-Doctoral Associate and NJ BPU Energy Fellow in Edward J. Bloustein School of Planning and Public Policy's Center for Urban Policy Research. Identifying opportunities to minimize energy use and carbon emissions of buildings is important for urban decarbonization. However, doing so often necessitates a capital-intensie building energy audit that requires […]
Please join us as we explore the world of AI with help from Rutgers experts who wrestle with these questions daily.
Socially Cognizant Robotics: Preparing for a future in which humans and robots regularly interact and society develops new rules.
Slides Poonam Soans - NJOIT Open Data Center Rakesh Kumar - Benefits and Challenges of Generative AI Policy Dynamics of Open Data and AI Summary by Julia Esguerra The Open Data + AI forum was held just before Thanksgiving on November 17th, hosted by the Public Informatics at Rutgers University program in collaboration with The […]
Artificial intelligence and machine learning tools are transforming human experience, from education and business to policy and health care. The unprecedented growth of AI presents exciting opportunities for improving lives globally, but it also intensifies profound ethical questions concerning privacy, data confidentiality, and bias. Please join the Rutgers University Foundation in New York to explore […]
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 […]
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 […]
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.