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Big Data and Machine Learning in Government Projects: Expert Evaluation Case

Author

Listed:
  • Nikitinsky, Nikita
  • Shashev, Sergey
  • Kachurina, Polina
  • Bespalov, Aleksander

Abstract

In this paper, we present the Expert Hub System, which was designed to help governmental structures find the best experts in different areas of expertise for better reviewing of the incoming grant proposals. In order to define the areas of expertise with topic modeling and clustering, and then to relate experts to corresponding areas of expertise and rank them according to their proficiency in certain areas of expertise, the Expert Hub approach uses the data from the Directorate of Science and Technology Programmes. Furthermore, the paper discusses the use of Big Data and Machine Learning in the Russian government project.

Suggested Citation

  • Nikitinsky, Nikita & Shashev, Sergey & Kachurina, Polina & Bespalov, Aleksander, 2016. "Big Data and Machine Learning in Government Projects: Expert Evaluation Case," MPRA Paper 82865, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:82865
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    More about this item

    Keywords

    government project; Big Data; Machine Learning; expert evaluation; clustering;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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