The Challenge of Funding Interdisciplinary Research

Author(s):  
Thomas König ◽  
Michael E. Gorman

Public research funding agencies today are required to address proactively interdisciplinary research. “The Challenge of Funding Interdisciplinary Research: A Look Inside Public Research Funding Agencies” looks specifically at two funding agencies—the US National Science Foundation (NSF) and the EU European Research Council (ERC)—and how these bodies promote interdisciplinarity, on the one hand, and how they claim to identify it, on the other. Inevitably, this gives the funding agencies some definition power over what interdisciplinary research actually is or should be. At the same time, there are organizational constraints that restrict the funding agencies’ capacity to fully embrace novel ways of interdisciplinary collaboration and investigation.

2009 ◽  
pp. 142-150
Author(s):  
Ned Kock ◽  
Pedro Antunes

Government funding of e-collaboration research in both the US and EU seems to be growing. In the EU, a key initiative to promote governmental investment in e-collabo-ration research is the Collaboration@Work initiative. This initiative is one of the EU’s Information Society Technologies Directorate General’s main priorities. In the US, government investment in e-collaboration research is channeled through several gov-ernment branches and organizations, notably the National Science Foundation. There are key differences in the approaches used for government funding of e-collaboration research in the EU and US. Some of these differences are discussed here, as well as related implications.


2012 ◽  
Vol 45 (03) ◽  
pp. 584

AsPSheads to press, political science research funding is under direct threat in the US Congress, which is considering appropriations for the National Science Foundation (NSF) for FY 2013 as part of FY 2013 Commerce, Justices, Science Appropriations Bill. In early May, the House of Representatives passed the Flake Amendment to prohibit the use of any NSF funds “to carry out the functions of the political science program” by a vote of 218 to 208.


Author(s):  
Mayte López-Ferrer

International collaboration and research funding in Sea Level Rise (SLR) research are investigated in this chapter. SLR can be taken as a paradigmatic research area to study the international scientific collaboration and research funding efforts because it is affecting the whole planet and is an interdisciplinary research area involving disciplines belonging to the geosciences but also the life sciences, technology sciences, and social sciences. The aim of the chapter is to identify the main stakeholders in the topic, institutions, and countries; analyze overlapping efforts; identify possible research gaps; and to study the role played by the funding agencies. Bibliometrics and a social network analysis approach are applied. Co-occurrence networks of keywords, affiliations, and funding agencies among scientific papers in Thomson Reuters' Web of Science Core Collection in the SLR topic are analyzed. Conclusions show that international scientific collaboration is common in SLR, but international co-financing is less frequent.


2015 ◽  
Vol 24 (05) ◽  
pp. 1550020 ◽  
Author(s):  
Avelino J. Gonzalez ◽  
Brian Sherwell ◽  
Johann Nguyen ◽  
Brian C. Becker ◽  
Víctor Hung ◽  
...  

This article describes a knowledge preservation and re-use tool designed to capture the knowledge of a specific individual at the US National Science Foundation, for later retrieval by successors after his retirement. The system is designed in a Q&A format, where it is sufficiently intelligent to ask for clarifying questions. The primary objective was to create a system that would result in acceptance of the system by the users. The domain of interest to be preserved and re-used was programmatic knowledge about the NSF Industry/University Collaborative Research Centers (I/UCRC) Program, and more specifically, the knowledge of its long-time director, Dr. Alex Schwarzkopf. The system is called AskAlex and it uses a trio of techniques to accomplish its objectives. Contextual graphs (CxG) are used as the basic knowledge representation structure. CxG’s are assisted by a search engine and an ontology of terms to help find the proper contextual graph that can best answer the question being asked. Evaluations with users and potential users generally confirm our selection and provided some guidance for improvements in the system.


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