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DTSTART;TZID=America/New_York:20240401T160000
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DTSTAMP:20260714T235311
CREATED:20240326T193627Z
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UID:10000456-1711987200-1711990800@dev.bloustein.rutgers.edu
SUMMARY:Public Informatics Listening Session
DESCRIPTION: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. \nHosted by Jim Samuel\, Public Informatics Program Director; Shravani Kallur\, VP of Public Informatics Program for Bloustein Graduate Student Association; Courtney Culler\, Associate Director for Graduate Student Services; and Greg Marrero\, Student Counselor for Graduate Student Services. \nRSVP HERE \n 
URL:https://dev.bloustein.rutgers.edu/event/public-informatics-listening-session/
LOCATION:Bloustein School\, Civic Square Building\, 33 Livingston Avenue\, New Brunswick\, NJ\, 08901\, United States
CATEGORIES:Informatics,Student Services
ATTACH;FMTTYPE=image/webp:https://dev.bloustein.rutgers.edu/wp-content/uploads/2024/04/public-informatics-listening-session.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240320T180000
DTEND;TZID=America/New_York:20240320T193000
DTSTAMP:20260714T235311
CREATED:20240229T162435Z
LAST-MODIFIED:20240229T162435Z
UID:10000415-1710957600-1710963000@dev.bloustein.rutgers.edu
SUMMARY:Intelligent Informatics at Rutgers: Artificial Intelligence - Use\, Abuse & An Exciting Future
DESCRIPTION:Collaborators: AI Social Impact Lab & Garfield City Council\nAn Interactive Presentation By Bloustein AI Course Participants\nFaculty Advisor: Professor Jim Samuel\, Rutgers Bloustein School\n\nHost Program: MPI – https://informatics.rutgers.edu/\n\n\nRegister: https://go.rutgers.edu/AI-MPI-webinar
URL:https://dev.bloustein.rutgers.edu/event/intelligent-informatics-at-rutgers-artificial-intelligence-use-abuse-an-exciting-future/
LOCATION:Virtual
CATEGORIES:Informatics,Public,Virtual
ATTACH;FMTTYPE=image/jpeg:https://dev.bloustein.rutgers.edu/wp-content/uploads/2024/02/Social-Media-Flyer-3-20-v1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240227T121000
DTEND;TZID=America/New_York:20240227T133000
DTSTAMP:20260714T235311
CREATED:20240222T154453Z
LAST-MODIFIED:20240222T154453Z
UID:10000414-1709035800-1709040600@dev.bloustein.rutgers.edu
SUMMARY:Leveraging Data-Driven Methods and Time-of-Use Data to Evaluate Urban Decarbonization Policies and Streamline Building Energy Audits
DESCRIPTION: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.  \nIdentifying 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 time-intensive on-site inspections. As municipalities across the United States mandate various urban decarbonization policies (e.g.\, benchmarking\, audits\, and building performance standards) there is a growing need for building owners to audit buildings efficiently and at a low cost. Emerging data streams (e.g.\, automated meter infrastructure) allow the evaluation of real time energy use and carbon emissions data. This data not only provides a deeper understanding into building operations but also may provide audit insights and decarbonization opportunities. This seminar will discuss the potential of integrating time-of-use data in urban decarbonization policy and the development of an integrated physics-based model and data-classification method to identify potential inefficiencies in a building using electric meter data. Time-of-use energy data paired with machine learning may streamline urban decarbonization policy by improving the effectiveness and scalability of evaluation processes. \nDr. Andrews received her PhD in Civil and Environmental Engineering from Stanford University at the Urban Informatics Lab. She also holds a MS in Sustainable Design and Construction from Stanford University and a BA in Environmental Policy from Barnard College. Dr. Andrews uses data from building energy policies (e.g.\, benchmarking\, building performance standards\, auditing) to evaluate urban decarbonization potential and to push forward equitable building decarbonization. Currently\, Dr. Andrews is interested in how municipalities can encourage the design and construction of Grid-Interactive Efficient Buildings. \nFor questions Dr. David Coit (coit@soe.rutgers.edu)\, Dr. Aziz Ezzat (aziz.ezzat@rutgers.edu) or Dr. Elin Wicks (elm52@soe.rutgers.edu)
URL:https://dev.bloustein.rutgers.edu/event/leveraging-data-driven-methods-and-time-of-use-data-to-evaluate-urban-decarbonization-policies-and-streamline-building-energy-audits/
LOCATION:CoRE-101\, 96 Frelinghuysen Rd\,\, Piscataway\, 08854\, United States
CATEGORIES:Informatics,Public,Seminar,Urban Planning
ATTACH;FMTTYPE=image/jpeg:https://dev.bloustein.rutgers.edu/wp-content/uploads/2024/02/soe-abigail-andrews-leveraging-data.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240207T083000
DTEND;TZID=America/New_York:20240207T100000
DTSTAMP:20260714T235311
CREATED:20231220T214731Z
LAST-MODIFIED:20240131T220329Z
UID:10000354-1707294600-1707300000@dev.bloustein.rutgers.edu
SUMMARY:AI Through a Rutgers Lens (Microsoft)
DESCRIPTION:AI THROUGH A RUTGERS LENS\nA three-part series in NYC exploring artificial intelligence. \nArtificial 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. \nPlease join us as we explore the world of AI with help from Rutgers experts who wrestle with these questions daily. \nSocially Cognizant Robotics: Preparing for a future in which humans and robots regularly interact and society develops new rules \nWednesday\, February 7\, 2024 – Part Two\n8:30 a.m. – 10:00 a.m.\nMicrosoft\, 885 2nd Avenue\, 34th Floor\, New York\, NY \nREGISTER HERE \n“Implications for robot design”\nKristin Dana\nProfessor\, Electrical and Computer Engineering\nRutgers School of Engineering \n“Implications for planning and public policy”\nClint Andrews\nProfessor and Associate Dean for Research\nEdward J. Bloustein School of Planning and Public Policy \nContinental breakfast will be available. Business Casual dress requested. \nEnjoy informative discussions and networking opportunities in each installment. \nRegister today to join the Rutgers community for this exciting series!  Advance registration required. Kindly respond by Friday\, February 2\, 2024. \nGraciously hosted by Microsoft. Special thanks to Simon Liepold EJB’05. \n*Please save June 5\, 2024\, for part three.*
URL:https://dev.bloustein.rutgers.edu/event/ai-through-a-rutgers-lens-microsoft/
LOCATION:Microsoft\, 885 2nd Avenue\, 34th Floor\, New York\, NY 10017\, 885 Second Avenue\, 34th Floor\, New York\, NY\, 10017\, United States
CATEGORIES:Informatics
ATTACH;FMTTYPE=image/jpeg:https://dev.bloustein.rutgers.edu/wp-content/uploads/2023/12/AI-Microsoft.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231117T120000
DTEND;TZID=America/New_York:20231117T130000
DTSTAMP:20260714T235311
CREATED:20230908T201303Z
LAST-MODIFIED:20260128T183246Z
UID:10000046-1700222400-1700226000@dev.bloustein.rutgers.edu
SUMMARY:Intelligent Informatics at Rutgers: Open Data & Artificial Intelligence
DESCRIPTION:Slides\nPoonam Soans – NJOIT Open Data Center \nRakesh Kumar – Benefits and Challenges of Generative AI \nPolicy Dynamics of Open Data and AI \nSummary\nby Julia Esguerra \nThe 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 New Jersey Big Data Alliance\, Heldrich Center for Workforce Development\, Northeast Big Data Innovation Hub\, and Rutgers University OARC. The well-attended virtual panel featured an insightful panel discussion where we heard from four speakers from a diverse range of backgrounds\, covering topics ranging from open data initiatives and technological advances to societal reactions and the media’s role in the AI landscape. The forum started with welcoming remarks from Dean Stuart Shapiro\, who expressed the boundless opportunities and considerable challenges in the intersection of open data and AI\, highlighting the need for diverse disciplines to constantly recalibrate in response to technological impacts\, and emphasizing the importance of building bridges between technical and non-technical perspectives to successfully balance the promises and risks of technological advances. \nThe first speaker was Poonam Soans\, the state of New Jersey’s Chief Data Officer\, who highlighted New Jersey’s open data portal\, emphasizing its standards and best practices for data sharing and transparency. The portal\, data.nj.gov\, includes diverse datasets such as public employee payroll records\, performance budgeting\, state expenditures\, and more. Poonam discussed the advantages of open data\, emphasizing its one-time effort for data input\, broad accessibility across departments and to the public\, and the potential for citizens to build applications on top of the data. She also stressed the importance of making open data AI-ready by establishing a solid foundation of data governance. \nDr. Rakesh Kumar provided a fascinating presentation\, featuring an interesting video on the potential of AI technology in robotics\, where he demonstrated how a robot could search for a person in a room hiding behind furniture! He focused on the technological advances introduced by Large Language Models (LLMs)\, emphasizing their state-of-the-art performance in Natural Language Processing (NLP)\, diverse task capabilities\, and potential for robots to navigate environments using 3D scene graphs. Dr. Kumar acknowledged challenges such as biased results and lack of explainability in AI. He emphasized the dynamic nature of knowledge\, suggesting that there is hope and opportunity in what can be learned tomorrow. \nProf. Clinton Andrews then discussed societal reactions to AI advancements\, particularly the challenges posed by chatbots like ChatGPT. He questioned whether society would do the right thing\, highlighting the need for regulation and ethical considerations in the emerging AI industry. Prof. Andrews delved into the role of individuals\, organizations\, and government in shaping ethical practices in AI. He emphasized personal ethics\, professional norms\, and the influence of government policies in creating a responsible AI landscape. The discussion also touched on the role of public data in resolving issues of data ownership. \nBringing an integrated and multifaceted perspective\, Rachel Rosenthal provided an enlightening perspective on the media. She explored the media’s place in the AI ecosystem\, describing the traditional newsroom structure. She highlighted the challenge shared by the media and policymakers in understanding the scope of AI-related problems in order to propose effective solutions. Rachel discussed the difficulty of projecting ahead in the complex AI landscape. She emphasized the slow and messy process of policymaking\, acknowledging the ongoing struggle to strike a balance between preserving innovation and protecting citizens in the context of AI. \nThe forum concluded with questions from the audience and an open discussion between the panelists moderated by Prof. Jim Samuel. In the panel discussion\, speakers identified Large Language Models (LLMs) as a current AI technology with significant potential impact\, emphasizing their role in providing easy access to knowledge and the ability to distill information. While cautioning about the need for expert user discernment\, they acknowledged the potential for LLMs to complement human capabilities rather than serving as substitutes. Regarding the shaping of society\, the panel highlighted both hopes and fears associated with AI and open data\, emphasizing the potential for better communication and knowledge distillation and the need for adaptability. On the topic of AI regulation\, the speakers expressed the view that regulation is necessary\, envisioning a process of building upon existing frameworks and acknowledging the potential for a long and messy but innovative journey. They advocated for developing regulation from the bottom up\, emphasizing AI’s life-changing use cases. \n\nThis event was hosted by the Master of Public Informatics program at Rutgers University\, in collaboration with our partners\, NJBDA\, Heldrich Center\, NEBigData InnovationHub & Rutgers OARC\nThis discussion was inspired by Bloustein research on the Garden State Open Data Index (GSODI).\nPlease email informatics@ejb.rutgers.edu for additional information.
URL:https://dev.bloustein.rutgers.edu/event/public-informatics-virtual-workshop/
LOCATION:Virtual
CATEGORIES:Informatics,Public,Virtual
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231025T080000
DTEND;TZID=America/New_York:20231025T093000
DTSTAMP:20260714T235311
CREATED:20231017T150419Z
LAST-MODIFIED:20231020T184840Z
UID:10000149-1698220800-1698226200@dev.bloustein.rutgers.edu
SUMMARY:AI Through A Rutgers Lens: Part One of a Three Part Series
DESCRIPTION: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. \nPlease join the Rutgers University Foundation in New York to explore the world of AI with help from Rutgers experts who wrestle with these questions daily. Graciously hosted by Microsoft. Special thanks to Simon Liepold EJB’05. \n“Teaching in the Age of AI” by David Goldman\, Director of Teaching\, Learning\, and Assessment\, Office of Undergraduate Education\, Rutgers School of Arts & Sciences \n“The relationship between generative AI and leadership in Creative Decision Making” by Zeki Pagda\, Assistant Professor of Professional Practice\, Management & Global Business\, Rutgers School of Business \n** RSVP by October 20. ** \nAND REMEMBER TO SAVE THE DATES FOR PARTS TWO AND THREE!!! \nPART TWO: February 7\, 2024 will feature Bloustein Professor and Associate Dean Clint Andrews presenting on Socially Cognizant Robotics\nPART THREE: June 5\, 2024
URL:https://dev.bloustein.rutgers.edu/event/ai-through-a-rutgers-lens-part-one-of-a-three-part-series/
LOCATION:Microsoft\, 885 2nd Avenue\, 34th Floor\, New York\, NY 10017\, 885 Second Avenue\, 34th Floor\, New York\, NY\, 10017\, United States
CATEGORIES:Alumni,External,Informatics,Public
ATTACH;FMTTYPE=image/jpeg:https://dev.bloustein.rutgers.edu/wp-content/uploads/2023/10/Rutgers-AI-NY-Foundation-event.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221111T110000
DTEND;TZID=America/New_York:20221111T121500
DTSTAMP:20260714T235311
CREATED:20220907T203249Z
LAST-MODIFIED:20231107T214132Z
UID:10000162-1668164400-1668168900@dev.bloustein.rutgers.edu
SUMMARY:Intelligent Informatics at Rutgers: Knowledge Graphs in Natural Language Processing: Overcome Domain Adaptation Challenges in Language Models
DESCRIPTION: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. \nEvent presented by Vivek Kumar\, Marie Sklodowska-Curie Scholar\, University of Cagliari\, Italy \nVivek Kumar is an NLP Enthusiast. He is presently working as a Marie Sklodowska-Curie Researcher with the University of Cagliari\, Italy and Philips Research\, Netherlands for PhilHumans (European Commission\, Horizon 2020\, ITN project). Prior to this\, he worked as a Research Engineer for the project “Search for Hidden Particle” (SHiP) of the European Commission of Nuclear Research (CERN) at NUST-MiSiS. He received his MS degree from NUST-MiSiS in Computer Science. In his career so far\, he has authored several publications with Journals\, Book Series and Conferences of International repute. He is also the reviewer / editor for several Journals and International Conferences of IEEE\, Springer\, ACM\, etc. \nWatch the recorded event at
URL:https://dev.bloustein.rutgers.edu/event/intelligent-informatics-knowledge-graphs-natural-language-processing/
LOCATION:Virtual
CATEGORIES:Informatics,Public,Virtual
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221019T190000
DTEND;TZID=America/New_York:20221019T203000
DTSTAMP:20260714T235311
CREATED:20220907T203618Z
LAST-MODIFIED:20231107T214031Z
UID:10000163-1666206000-1666211400@dev.bloustein.rutgers.edu
SUMMARY:Intelligent Informatics at Rutgers: Open Data for Society: Accelerating Solutions for Society's Most Pressing Challenges
DESCRIPTION:We welcomed our distinguished speakers from the AI for Good Lab @ Microsoft. \n\nAnthony 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 for Good efforts. He specializes in cloud solution architecture and open innovation and has a BS in computer science and an MBA with a specialty in the management of information systems.\nLucas A. Meyer is the Principal Data Scientist with the AI for Good Lab at Microsoft\, and he specializes in models to promote economic development and detect financial misconduct. Lucas also worked in fraud detection at Amazon\, and has an M.Sc. and an MBA from the University of Washington.\nProf. Jim Samuel\, Director of the Master of Public Informatics (MPI) program at the Bloustein School\, provided closing comments on the potential societal implications of combining artificial intelligence and open data.
URL:https://dev.bloustein.rutgers.edu/event/intelligent-informatics-open-data-for-society/
LOCATION:Virtual
CATEGORIES:Informatics,Public,Virtual
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220408T123000
DTEND;TZID=America/New_York:20220408T143000
DTSTAMP:20260714T235311
CREATED:20220301T213842Z
LAST-MODIFIED:20231107T214439Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220331T190000
DTEND;TZID=America/New_York:20220331T203000
DTSTAMP:20260714T235311
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20211112T120000
DTEND;TZID=America/New_York:20211112T133000
DTSTAMP:20260714T235311
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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