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Notes from the Editors

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  • Anonymous

Abstract

We introduce this issue with a thought. There has been much made of the need for our discipline to be “policy relevant,” and much ridicule has been directed at the Review recently that comments how little the Review offers that is relevant for decision makers. But what does it mean to be policy relevant? Generally, scholarly journals publish the best in basic research, which hopefully can be used by those in positions of authority to good effect. This often means that there are no catchy titles, nor opinion-editorial pieces that are so often portrayed as the model of policy relevant work. In our view, the role of the Review is to expand knowledge on important scholarly questions, not only to publish work that is currently popular or somehow ordained as useful by pundits. There is certainly a place for such work, but not in the pages of the Review. On the other hand, we as the editors of the Review understand the need to make the Review accessible to as broad an audience as possible, and we have made great efforts to do just that.

Suggested Citation

  • Anonymous, 2014. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 108(2), pages 1-1, May.
    • Handle: RePEc:cup:apsrev:v:108:y:2014:i:2:p:iii-ix_1
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    Cited by:

    1. Debnath, R. & Bardhan, R. & Mohaddes, K. & Shah, D. U. & Ramage, M. H. & Alvarez, R. M., 2022. "People-centric Emission Reduction in Buildings: A Data-driven and Network Topology-based Investigation," Cambridge Working Papers in Economics 2202, Faculty of Economics, University of Cambridge.
    2. VERGEYLEN, Nicholas & SÖRENSEN, Kenneth & PALHAZI CUERVO, Daniel, 2018. "Solution space analysis for the bike request scheduling problem," Working Papers 2018005, University of Antwerp, Faculty of Business and Economics.
    3. Yasar Abbas Ur Rehman & Muhammad Tariq & Omar Usman Khan, 2015. "Improved Object Localization Using Accurate Distance Estimation in Wireless Multimedia Sensor Networks," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-18, November.
    4. David J Albers & Matthew Levine & Bruce Gluckman & Henry Ginsberg & George Hripcsak & Lena Mamykina, 2017. "Personalized glucose forecasting for type 2 diabetes using data assimilation," PLOS Computational Biology, Public Library of Science, vol. 13(4), pages 1-38, April.

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