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About Ubiquity

Ubiquity is ACM's peer-reviewed Web-based magazine devoted to the future of computing and the people who are creating it.

Ubiquity fosters critical analysis and in-depth commentary on issues relating to the nature, constitution, structure, science, engineering, cognition, technology, practices and paradigms of the computing profession. It does so through commentaries and interviews.

Ubiquity helps us see what we do not see. Ubiquity seeks novel perspectives on what is going on in the core of our field. Ubiquity looks also to the edges of our field and beyond, seeking the perspectives of those in other fields who are impacted by computing.

"Ubiquity" comes from the Latin word for "everywhere"—and stands in contrast to "Utopia," another word coined from the Latin (by St. Thomas More) meaning "nowhere." Unlike utopian pie-in-the-sky visions, Ubiquity tries to stay focused ambitiously on "The-Future-Already-Happening." This is the future coming to life right before our eyes, in an information-rich world where computing is embedded everywhere—along with its embedded tensions.

Ubiquity is highly visible within ACM. Ubiquity is a free, open-access service by ACM for the entire computing professional community, whether or not they are members. Ubiquity articles are archived in the ACM Digital Library.

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