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2011 Symposia

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: What is Computation

Table of Contents

 

  1. What is Computation, Editor's Introduction, by Peter J. Denning

  2. What is Computation, Opening Statement, by Peter J. Denning

  3. The Evolution of Computation, by Peter Wegner

  4. Computation is Symbol Manipulation, by John S. Conery

  5. Computation is Process, by Dennis J. Frailey

  6. Computing and Computation, by Paul S. Rosenbloom

  7. Computation and Information, by Ruzena Bajcsy

  8. Computation and Fundamental Physics, by Dave Bacon

  9. The Enduring Legacy of the Turing Machine, by Lance Fortnow

10. Computation and Computational Thinking, by Alfred V. Aho

11. What is the Right Computational Model for Continuous Scientific Problems?, by Joseph Traub

12. Computation, Uncertainty and Risk, by Jeffrey P. Buzen

13. Natural Computation, by Erol Gelenbe

14. Biological Computation, by Melanie Mitchell

15. What is Information?: Beyond the jungle of information theories, by Paolo Rocchi

16. What Have We Said About Computation?: Closing statement, by Peter J. Denning

 

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