2002 - December
Squeeze it in or spread it out?
by Rick Duley
December 2002The conundrum of content and context
Persuasive technology: using computers to change what we think and do
by B. J. Fogg
December 2002Mother Nature knows best--How engineered organizations of the future will resemble natural-born systems.
Points of learning and teaching systems (POLTS), part II
by M. O. Thirunarayanan
December 2002Proposed teaching system will reflect a learner's cognitive skills
The rise of the intelligent enterprise
by Kemal A. Delic, Umeshwar Dayal
December 2002Mother Nature knows best -- How engineered organizations of the future will resemble natural-born systems.
Teaching the history of computer science
by Trevis J. Rothwell
December 2002Students who are truly interested in computer science would enjoy learning about those programmers who went before them, and how they overcame their difficulties.
Demographic profiling: a euphemism for corporate spying
by John Hudson
December 2002Hands-on adoption of a multi-agent production planning technology in the manufacturing industry.
A Ubiquity symposium is an organized debate around a proposition or point of view. It is a means to explore a complex issue from multiple perspectives. An early example of a symposium on teaching computer science appeared in Communications of the ACM (December 1989).
To organize a symposium, please read our guidelines.
Ubiquity Symposium: Big Data
- Big Data, Digitization, and Social Change (Opening Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic
- Big Data and the Attention Economy by Bernardo A. Huberman
- Big Data for Social Science Research by Mark Birkin
- Technology and Business Challenges of Big Data in the Digital Economy by Dave Penkler
- High Performance Synthetic Information Environments: An integrating architecture in the age of pervasive data and computing By Christopher L. Barrett, Jeffery Johnson, and Madhav Marathe
- Developing an Open Source "Big Data" Cognitive Computing Platform by Michael Kowolenko and Mladen Vouk
- When Good Machine Learning Leads to Bad Cyber Security by Tegjyot Singh Sethi and Mehmed Kantardzic
- Corporate Security is a Big Data Problem by Louisa Saunier and Kemal Delic
- Big Data: Business, technology, education, and science by Jeffrey Johnson, Luca Tesei, Marco Piangerelli, Emanuela Merelli, Riccardo Paci, Nenad Stojanovic, Paulo Leitão, José Barbosa, and Marco Amador
- Big Data or Big Brother? That is the question now (Closing Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic