5,143 research outputs found
A Research Agenda for Studying Open Source I: A Multi-Level Framework
This paper presents a research agenda for studying information systems using open source software A multi-level research model is developed at five discrete levels of analysis: (1) the artifact; (2) the individual; (3) the team, project, and community; (4) the organization; and (5) society. Each level is discussed in terms of key issues within the level. Examples are based on prior research. In a companion paper, [Niederman, et al 2006], we view the agenda through the lens of referent discipline theories
Data Science for Social Good
Data science has been described as the fourth paradigm for scientific
discovery. The latest wave of data science research, pertaining to machine
learning and artificial intelligence (AI), is growing exponentially and
garnering millions of annual citations. However, this growth has been
accompanied by a diminishing emphasis on social good challenges - our analysis
reveals that the proportion of data science research focusing on social good is
less than it has ever been. At the same time, the proliferation of machine
learning and generative AI have sparked debates about the socio-technical
prospects and challenges associated with data science for human flourishing,
organizations, and society. Against this backdrop, we present a framework for
"data science for social good" (DSSG) research that considers the interplay
between relevant data science research genres, social good challenges, and
different levels of socio-technical abstraction. We perform an analysis of the
literature to empirically demonstrate the paucity of work on DSSG in
information systems (and other related disciplines) and highlight current
impediments. We then use our proposed framework to introduce the articles
appearing in the special issue. We hope that this article and the special issue
will spur future DSSG research and help reverse the alarming trend across data
science research over the past 30-plus years in which social good challenges
are garnering proportionately less attention with each passing day
Special Libraries, September 1962
Volume 53, Issue 7https://scholarworks.sjsu.edu/sla_sl_1962/1006/thumbnail.jp
Special Libraries, March 1961
Volume 52, Issue 3https://scholarworks.sjsu.edu/sla_sl_1961/1002/thumbnail.jp
Data Science for Social Good
Data science has been described as the fourth paradigm of scientific discovery. The latest wave of data science research, pertaining to machine learning and artificial intelligence (AI), is growing exponentially and garnering millions of annual citations. However, this growth has been accompanied by a diminishing emphasis on social good challenges—our analysis reveals that the proportion of data science research focusing on social good is less than it has ever been. At the same time, the proliferation of machine learning and generative AI has sparked debates about the sociotechnical prospects and challenges associated with data science for human flourishing, organizations, and society. Against this backdrop, we present a framework for “data science for social good” (DSSG) research that considers the interplay between relevant data science research genres, social good challenges, and different levels of sociotechnical abstraction. We perform an analysis of the literature to empirically demonstrate the paucity of work on DSSG in information systems (and other related disciplines) and highlight current impediments. We then use our proposed framework to introduce the articles appearing in the JAIS special issue on data science for social good. We hope that this editorial and the special issue will spur future DSSG research and help reverse the alarming trend across data science research over the past 30-plus years in which social good challenges are attracting proportionately less attention with each passing day
VCU today (1988-03-09)
VCU Today, the University’s first official administrative organ, began as a somewhat irregular monthly publication but moved to a bi-weekly newspaper format in the 1980s. The newspaper changed its name to VCU Voice in 1988 and ten years later it appeared under the title UniverCity News. As it neared the end of its run as a physical newspaper, the publication became simply VCU News. These four publications were essentially the same periodical published under different titles by the Office of University Relations. VCU News appeared online for the first time in 2002.https://scholarscompass.vcu.edu/vct/1264/thumbnail.jp
Special Libraries, February 1951
Volume 42, Issue 2https://scholarworks.sjsu.edu/sla_sl_1951/1001/thumbnail.jp
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