Big Data Challenges in Social Sciences: An NLP Analysis: An NLP Analysis

Research output: Contribution to journalArticlepeer-review


Data science is considered to be a complex domain. It involves the skillful implementation of a multitude of data analysis and interpretation methods to reach managerial and operational decisions. For this reason, it poses a number of challenges to students in all disciplines, especially in the social sciences. The present study highlights these challenges through the analysis of 4 complementary research works that are based on 3 instruments: a scientific corpus, surveys, and data science job offers posted on LinkedIn-Israel. The study’s findings indicate that although data science is perceived to be an important domain that exerts a high influence on our society, social sciences’ students still do not have sufficient skills to cope with the challenges it poses. The study suggests equipping students with the skills and qualifications necessary for big data analysis through the design of adequate academic programs. The current article discusses these findings and their implications.

Original languageEnglish
Pages (from-to)537-554
Number of pages18
JournalJournal of Computer Information Systems
Issue number3
StatePublished Online - 25 Jun 2022


  • Big data
  • data analysis
  • data science
  • quantitative skills
  • social science skills


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