7,249 research outputs found

    Promises and Challenges of Teaching Statistical Reasoning to Journalism Undergraduates: Twin Surveys of Department Heads, 1997 and 2008

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    This research is dedicated to the memory of Victor Cohn, former science reporter for the Washington Post and often considered the dean of science writers, who collaborated on the first wave of the survey. The 1997 survey was supported by a grant from the American Statistical Association and the 2008 survey by a grant from the Communication graduate program at Marquette University. Special thanks to research assistants Kathryn Zabriskie and Gongke Li for their valuable help in the survey. The analyses and conclusions are solely those of the authors

    The Role of Channel Beliefs in Risk Information Seeking

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    Risk Information Seeking and Processing Model

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    Judgmental Heuristics and News Reporting

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    Chair Support, Faculty Entrepreneurship, and the Teaching of Statistical Reasoning to Journalism Undergraduates in the United States

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    Statistical reasoning is not the same as doing calculations. Instead, it involves cognitive skills such as the ability to think critically and systematically with data, skills important for everyday news work and essential for the era of data journalism. Twin surveys of the chairs of undergraduate journalism programs in the United States, conducted 11 years apart, revealed that those who perceived benefits from statistical reasoning instruction were more likely to reward entrepreneurship (faculty attempts to integrate this instruction into their classes), but with slow gains over time in the fairly small number of such faculty. Being consistent with university goals in statistical reasoning instruction appeared to motivate chairs’ reward decisions in both waves. Increasingly, they took into account what they saw as the general value of statistical reasoning for their students and the competitive edge it could give them in the journalism job market. Perceived constraints to teaching this content had no apparent overall impact on reward decisions

    BGP Security in Partial Deployment: Is the Juice Worth the Squeeze?

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    As the rollout of secure route origin authentication with the RPKI slowly gains traction among network operators, there is a push to standardize secure path validation for BGP (i.e., S*BGP: S-BGP, soBGP, BGPSEC, etc.). Origin authentication already does much to improve routing security. Moreover, the transition to S*BGP is expected to be long and slow, with S*BGP coexisting in "partial deployment" alongside BGP for a long time. We therefore use theoretical and experimental approach to study the security benefits provided by partially-deployed S*BGP, vis-a-vis those already provided by origin authentication. Because routing policies have a profound impact on routing security, we use a survey of 100 network operators to find the policies that are likely to be most popular during partial S*BGP deployment. We find that S*BGP provides only meagre benefits over origin authentication when these popular policies are used. We also study the security benefits of other routing policies, provide prescriptive guidelines for partially-deployed S*BGP, and show how interactions between S*BGP and BGP can introduce new vulnerabilities into the routing system

    An intelligent user interface for browsing satellite data catalogs

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    A large scale domain-independent spatial data management expert system that serves as a front-end to databases containing spatial data is described. This system is unique for two reasons. First, it uses spatial search techniques to generate a list of all the primary keys that fall within a user's spatial constraints prior to invoking the database management system, thus substantially decreasing the amount of time required to answer a user's query. Second, a domain-independent query expert system uses a domain-specific rule base to preprocess the user's English query, effectively mapping a broad class of queries into a smaller subset that can be handled by a commercial natural language processing system. The methods used by the spatial search module and the query expert system are explained, and the system architecture for the spatial data management expert system is described. The system is applied to data from the International Ultraviolet Explorer (IUE) satellite, and results are given
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