Implications for computer science departments of the ACM information systems curriculum

1973 ◽  
Author(s):  
Robert L. Ashenhurst
Keyword(s):  
Information Systems ◽  
Computer Science ◽  
Science Departments ◽  
Information Systems Curriculum

Using information technology to integrate social and ethical issues into the computer science and information systems curriculum

1997 ◽  
Vol 25 (4) ◽  
pp. 38-47 ◽  
Author(s):  
Mary J. Granger ◽  
Elizabeth S. Adams ◽  
Christina Björkman ◽  
Don Gotterbarn ◽  
Diana D. Juettner ◽  
...  
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Computer Science ◽  
Ethical Issues ◽  
Social And Ethical Issues ◽  
Information Systems Curriculum

Creating and Capturing Value through Crowdsourcing

2018 ◽  
Keyword(s):  
Information Systems ◽  
Systems Biology ◽  
Computer Science ◽  
Open Innovation ◽  
Product Innovation ◽  
Collective Intelligence ◽  
Innovation Management ◽  
Private And Public ◽  
Definition Of ◽  
The Uk

Examples of the value that can be created and captured through crowdsourcing go back to at least 1714, when the UK used crowdsourcing to solve the Longitude Problem, obtaining a solution that would enable the UK to become the dominant maritime force of its time. Today, Wikipedia uses crowds to provide entries for the world’s largest and free encyclopedia. Partly fueled by the value that can be created and captured through crowdsourcing, interest in researching the phenomenon has been remarkable. For example, the Best Paper Awards in 2012 for a record-setting three journals—the Academy of Management Review, Journal of Product Innovation Management, and Academy of Management Perspectives—were about crowdsourcing. In spite of the interest in crowdsourcing—or perhaps because of it—research on the phenomenon has been conducted in different research silos within the fields of management (from strategy to finance to operations to information systems), biology, communications, computer science, economics, political science, among others. In these silos, crowdsourcing takes names such as broadcast search, innovation tournaments, crowdfunding, community innovation, distributed innovation, collective intelligence, open source, crowdpower, and even open innovation. The book aims to assemble papers from as many of these silos as possible since the ultimate potential of crowdsourcing research is likely to be attained only by bridging them. The papers provide a systematic overview of the research on crowdsourcing from different fields based on a more encompassing definition of the concept, its difference for innovation, and its value for both the private and public sectors.

Data on computer science departments/curricula

1971 ◽  
Vol 3 (4) ◽  
pp. 40-45 ◽  
Author(s):  
F. D. Vickers
Keyword(s):  
Computer Science ◽  
Science Departments
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