Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Publications

Analyzing NIH Funding Patterns over Time with Statistical Text Analysis

Jihyun Park and Margaret Blume-Kohout and Ralf Krestel and Eric Nalisnick and Padhraic Smyth
In Scholarly Big Data: AI Perspectives, Challenges, and Ideas (SBD 2016) Workshop at AAAI 2016, 2 2016 AAAI.

Abstract:

In the past few years various government funding organizations such as the U.S. National Institutes of Health and the U.S. National Science Foundation have provided access to large publicly-available on-line databases documenting the grants that they have funded over the past few decades. These databases provide an excellent opportunity for the application of statistical text analysis techniques to infer useful quantitative information about how funding patterns have changed over time. In this paper we analyze data from the National Cancer Institute (part of National Institutes of Health) and show how text classification techniques provide a useful starting point for analyzing how funding for cancer research has evolved over the past 20 years in the United States.

BibTeX file

@inproceedings{sbd16,
author = { Jihyun Park and Margaret Blume-Kohout and Ralf Krestel and Eric Nalisnick and Padhraic Smyth },
title = { Analyzing NIH Funding Patterns over Time with Statistical Text Analysis },
year = { 2016 },
month = { 2 },
abstract = { In the past few years various government funding organizations such as the U.S. National Institutes of Health and the U.S. National Science Foundation have provided access to large publicly-available on-line databases documenting the grants that they have funded over the past few decades. These databases provide an excellent opportunity for the application of statistical text analysis techniques to infer useful quantitative information about how funding patterns have changed over time. In this paper we analyze data from the National Cancer Institute (part of National Institutes of Health) and show how text classification techniques provide a useful starting point for analyzing how funding for cancer research has evolved over the past 20 years in the United States. },
publisher = { AAAI },
booktitle = { Scholarly Big Data: AI Perspectives, Challenges, and Ideas (SBD 2016) Workshop at AAAI 2016 },
priority = { 0 }
}

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last change: Thu, 07 Jan 2016 14:38:51 +0100