This report, authored by Jim Samuel, Margaret Brennan-Tonetta, Marc Pfeiffer, Clinton Andrews, and Matthew Hale, identifies concepts, strategies, principles, and policies aimed to enhance the “availability, accessibility, usability, and governance of open data,” and is intended to support research, decision making, planning, and reporting efforts for anyone seeking information regarding New Jersey.
Topic
Jim Samuel
EJB Talks: Public Informatics Spotlight–from Data Analytics to Artificial Intelligence Impacts
Public Informatics Program director Jim Samuel talks about his path to studying the Big Data phenomenon, the future of informatics and artificial intelligence, and what the arrival of Chat GPT means for society.
Prof. Samuel Warns AI Needs to Balance Utility and Privacy in Opioid Overdose Tracking
The Daily Beast asks "Are the AI models ready for Primetime?". In "How Bots Can Prevent Opioid Overdoses Before They Happen," Maddie Bender looks at one of the leading causes of death in America and how AI can help through a program called "Hotspotting the Opioid...
New Jersey State Policy Lab: Catalyzing the Information Economy: Moving Towards Strategic Expansions of Open Data-Driven Value Creation
‘Open data’ refers to government data, and all data that is made publicly available with little to no restrictions for use, reuse, and distribution, to support transparency, innovation, and creative interactions, leading to insights-driven value creation.
New Jersey State Policy Lab: Using Creative Informatics and Artificial Intelligence to Address the Drug Addiction Crisis in New Jersey
New Jersey has a persistent substance addiction problem which must be viewed in the context of laws, policies, and initiatives implemented to address it.
Research: Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations
Artificially intelligent technologies that can adapt information representations to overcome cognitive limitations are necessary for complex information environments.
Research: Pandemic Vulnerability Index of US Cities: A Hybrid Knowledge-based and Data-driven Approach
Cities become mission-critical zones during pandemics and it is vital to develop a better understanding of the factors that are associated with infection levels. A new study examines 41 variables and their potential influence on COVID-19 cases and fatalities.
Which U.S. cities are most vulnerable to spread of COVID-19?
Coronavirus disease 2019 (COVID-19) first arose in Wuhan, China, in late December 2019, before spreading rapidly across the rest of the world. In the first weeks following the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outside mainland...
Elliott School researchers updating international data governance map
Experts in data informatics said the project is an accessible compilation of various data governance factors that can help national governments determine which attributes need improvement to better democracies. Jim Samuel, the executive director of the informatics...
Research: The Dark Side of Sentiment Analysis: An Exploratory Review Using Lexicons, Dictionaries, and a Statistical Monkey and Chimp
Sentiment analysis (SA) uses a combination of natural language processing (NLP) methods to analyze a text to estimate the implied sentiment.