We propose a framework that recasts scientific novelty not as a single attribute of a paper, but as a reflection of its position within the evolving intellectual landscape. We decompose this position into two orthogonal dimensions: \textit{spatial novelty}, which measures a paper's intellectual distinctiveness from its neighbors, and \textit{temporal novelty}, which captures its engagement with a dynamic research frontier. To operationalize these concepts, we leverage Large Language Models to develop semantic isolation metrics that quantify a paper's location relative to the full-text literature. Applying this framework to a large corpus of economics articles, we uncover a fundamental trade-off: these two dimensions predict systematically different outcomes. Temporal novelty primarily predicts citation counts, whereas spatial novelty predicts disruptive impact. This distinction allows us to construct a typology of semantic neighborhoods, identifying four archetypes associated with distinct and predictable impact profiles. Our findings demonstrate that novelty can be understood as a multidimensional construct whose different forms, reflecting a paper's strategic location, have measurable and fundamentally distinct consequences for scientific progress.

Artificial Intelligence is still a nascent technology; much of the groundbreaking work moving the industry forward is done inside research labs. It's often from those labs that open source projects are started. That's why ODSC focuses on research at its conferences and invites the experts pushing the boundaries of AI to speak. Between the two upcoming conferences, researchers from more than 20 of the top research institutes in the country will deliver talks and lead trainings at ODSC West 2019. Institutes like Open AI, NASA's JPL, Google, MIT CSAIL, BAIR, The Turing Institute, and Max Planck - to name just a handful - are presenting at ODSC in 2019, helping us bring our community to the leading edge of AI.

Science fiction books and movies have largely formed the public's worldview of artificial intelligence, often clouding the truth on where we stand with the technology. Many are under the impression that "the machines" will eventually eliminate our jobs, police human beings and take over mankind; others think AI will only enhance our lives. One thing's for certain: everybody's got a take on the matter. ASU Now enlisted two scholars -- Subbarao Kambhampati and Miles Brundage -- to have a discussion on the pros and cons of AI, which has increasingly become a part of our everyday lives. Kambhampati, a professor of computer science in Arizona State University's Ira A. Fulton Schools of Engineering, works in artificial intelligence and focuses on planning and decision-making, especially in the context of human-machine collaboration.