The fundamentals of predictability of scientific success

Abstract

The goal of this proposal is to uncover and probe in a quantitative and mathematically rigorous fashion the predictability and the limits of predictability of scientific discovery. The objectives of the research include: (i) Develop tools to quantify the theoretical limit of maximum predictability of citation patterns for individual papers, individuals and institutions/geographic areas; (ii) Develop improved predictive models for paper citations; (iii) Explore the predictability of stochastic models designed to predict the evolution of performance within a scientic career; (iv) Develop tools to quantify the level of aggregated information exchange among institution/geographic area, and (v) Develop predictive statistical approaches to quantify the time behavior of this indicator.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 23, 2016
Source ID
FA95501510077

Entities

People

  • Albert-László Barabási

Organizations

  • Air Force Office of Scientific Research
  • Northeastern University
  • Office of the Secretary of Defense

Tags

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design