Big Data Challenges in Social Sciences: An NLP Analysis

IF 2.5 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Computer Information Systems Pub Date : 2023-05-04 DOI:10.1080/08874417.2022.2085211
M. Zwilling
{"title":"Big Data Challenges in Social Sciences: An NLP Analysis","authors":"M. Zwilling","doi":"10.1080/08874417.2022.2085211","DOIUrl":null,"url":null,"abstract":"ABSTRACT 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.","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"14 1","pages":"537 - 554"},"PeriodicalIF":2.5000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Information Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/08874417.2022.2085211","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 1

Abstract

ABSTRACT 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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
社会科学中的大数据挑战:NLP分析
数据科学被认为是一个复杂的领域。它涉及到大量数据分析和解释方法的熟练实施,以达到管理和运营决策。由于这个原因,它给所有学科的学生,特别是社会科学的学生提出了许多挑战。本研究通过分析基于3种工具的4项互补研究工作,突出了这些挑战:科学语料库、调查和LinkedIn-Israel上发布的数据科学工作机会。该研究的结果表明,尽管数据科学被认为是一个对我们的社会产生重大影响的重要领域,但社会科学专业的学生仍然没有足够的技能来应对它带来的挑战。该研究建议,通过设计适当的学术课程,让学生具备大数据分析所需的技能和资格。本文讨论了这些发现及其意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Computer Information Systems
Journal of Computer Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.80
自引率
7.10%
发文量
82
审稿时长
>12 weeks
期刊介绍: The Journal of Computer Information Systems (JCIS) aims to publish manuscripts that explore information systems and technology research and thus develop computer information systems globally. We encourage manuscripts that cover the following topic areas: -Analytics, Business Intelligence, Decision Support Systems in Computer Information Systems - Mobile Technology, Mobile Applications - Human-Computer Interaction - Information and/or Technology Management, Organizational Behavior & Culture - Data Management, Data Mining, Database Design and Development - E-Commerce Technology and Issues in computer information systems - Computer systems enterprise architecture, enterprise resource planning - Ethical and Legal Issues of IT - Health Informatics - Information Assurance and Security--Cyber Security, Cyber Forensics - IT Project Management - Knowledge Management in computer information systems - Networks and/or Telecommunications - Systems Analysis, Design, and/or Implementation - Web Programming and Development - Curriculum Issues, Instructional Issues, Capstone Courses, Specialized Curriculum Accreditation - E-Learning Technologies, Analytics, Future
期刊最新文献
Human Activity Recognition with Unsupervised Learning of Event Logs Predicting Cross-Selling Health Insurance Products Using Machine-Learning Techniques Navigating Cybersecurity: Environment’s Impact on Standards Adoption and Board Involvement Consumer Segmentation and Decision: Explainable Machine Learning Insights A Configurational Approach to CSP Selection and Rejection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1