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Unintended effects of changes in NIH appropriations : challenges for biomedical research workforce development

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dc.contributor.advisor Richard C. Larson. en_US
dc.contributor.author Gomez Diaz, Mauricio en_US
dc.contributor.other Massachusetts Institute of Technology. Technology and Policy Program. en_US
dc.date.accessioned 2012-09-13T18:59:54Z
dc.date.available 2012-09-13T18:59:54Z
dc.date.copyright 2012 en_US
dc.date.issued 2012 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/72892
dc.description Thesis (S.M. in Technology and Policy)-- Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2012. en_US
dc.description Cataloged from PDF version of thesis. en_US
dc.description Includes bibliographical references (p. 63-66). en_US
dc.description.abstract The U.S. government doubled NIH appropriations between 1998 and 2003, aiming to significantly foster research activities in biomedicine. However, several indicators demonstrate not only that the impact of the budget increase fell short of expectations; in many cases it resulted in unintended negative effects. Compared to pre-doubling conditions, researchers now spend significantly more time writing grant proposals, impacting their ability to carry out research. Paradoxically, the probability with which a grant proposal is accepted for funding deteriorated sharply after the doubling and continues to fall. The average age of first-time NIH grant recipients has increased by almost a decade since the early 70's, while the percentage of biomedical doctorates securing tenured or tenure-track positions relentlessly drops. These trends represent a threat to the quality, stability, and availability of the U.S. biomedical research workforce. This thesis takes a system dynamics approach to test the hypothesis that a sudden and temporary increase in research funds can result in unintended long-term effects hampering research discoveries and workforce development. A simulation model is therefore developed using the available literature and calibrated to replicate historical trends. The model is then used to perform experiments that test the effects of changes in certain parameters or policies. The outcomes of these experiments provide policy insights that can help improve the effectiveness of NIH funding and its impact on the workforce. en_US
dc.description.statementofresponsibility by Mauricio Gomez Diaz. en_US
dc.format.extent 66 p. en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582 en_US
dc.subject Engineering Systems Division. en_US
dc.subject Technology and Policy Program. en_US
dc.title Unintended effects of changes in NIH appropriations : challenges for biomedical research workforce development en_US
dc.title.alternative Unintended effects of changes in National Iinstitutes of Health appropriations en_US
dc.title.alternative Challenges for biomedical research workforce development en_US
dc.type Thesis en_US
dc.description.degree S.M.in Technology and Policy en_US
dc.contributor.department Massachusetts Institute of Technology. Engineering Systems Division. en_US
dc.contributor.department Massachusetts Institute of Technology. Technology and Policy Program. en_US
dc.identifier.oclc 808420022 en_US


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