acm - an acm publication

2000 - December

  • Tomorrow's news
    What will the news be like in the continuing evolving age of information? Ifra, an international association of newspaper organizations, has created a 10-minute video to provide a peek into the future of the newsroom while highlighting issues that present-day newsrooms must face in making the transition to the new publishing industry. Although early prototypes of the Daily Me have proven disappointing, "it cannot be ignored that the news industry, like most industries, is moving from a product-based business model to a service model under pressure of the Information Economy," writes Ifra's Kerry Northrup. "And good service requires some degree of personalization. The publisher of Tomorrow's News has profiled its readers, listeners, viewers and users sufficiently that it knows their collective interests and even individually where they work." Northrup, who plays a prominent role in Ifra's work as a worldwide leader in publishing strategies and technology, here provides Ubiquity a summary description of what lies ahead for the newspaper industry in the 21st Century.
  • Guide to the internet
    No matter where on earth, it isn't hard to find creative individuals who see the advantages that technology can confer.

2018 Symposia

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

Table of Contents

  1. Big Data, Digitization, and Social Change (Opening Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic
  2. Big Data and the Attention Economy by Bernardo A. Huberman
  3. Big Data for Social Science Research by Mark Birkin
  4. Technology and Business Challenges of Big Data in the Digital Economy by Dave Penkler
  5. 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
  6. Developing an Open Source "Big Data" Cognitive Computing Platform by Michael Kowolenko and Mladen Vouk
  7. When Good Machine Learning Leads to Bad Cyber Security by Tegjyot Singh Sethi and Mehmed Kantardzic
  8. Corporate Security is a Big Data Problem by Louisa Saunier and Kemal Delic
  9. 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
  10. Big Data or Big Brother? That is the question now (Closing Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic