Pursuing spatiotemporally integrated social science using cyberinfrastructure

Xinyue Ye, Xuan Shi

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations


The rich details of space-time complexity in social science remain largely unexplored because of the challenge of intensities of data and computing. The current space-time simulation and statistics for social science research can only deal with a limited amount of data. We introduce a pilot study about how to deploy the modern accelerator technology and hybrid computer systems to extend the National Institute of Justice-funded Near-repeat calculation, a typical social science application? This pilot study demonstrates that it is promising to leverage high performance computing for solving large-scale space-time interaction problems, which has long been a challenging statistical issue for spatiotemporally integrated social science.

Original languageEnglish (US)
Title of host publicationModern accelerator technologies for geographic information science
PublisherSpringer US
Number of pages12
ISBN (Electronic)9781461487456
ISBN (Print)1461487447, 9781461487449
StatePublished - Aug 1 2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Computer Science


  • High performance computing
  • Near-repeat
  • Social science
  • Space-time complexity
  • Spatiotemporally integrated social science


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