acm - an acm publication

2005 - January

  • Czerwinski on Vizualization
    Mary Czerwinski is Senior Researcher and Group Manager Visualization and Interaction Research Group at Microsoft Research.
  • Mihai Nadin on Anticipatory Systems
    What is the difference between a falling stone and a falling cat? Mihai Nadin, who directs the newly established Institute for Research in Anticipatory Systems at the University of Texas at Dallas, holds a Ph.D. degree in aesthetics from the University of Bucharest and a post-doctoral degree in philosophy, logic and theory of science from Ludwig Maximilian University in Munich, West Germany. He earned an M.S. degree in electronics and computer science from the Polytechnic Institute of Bucharest and an M.A. degree in philosophy from the University of Bucharest. He has authored 23 books, including "The Civilization of Illiteracy," "Mind: Anticipation and Chaos," and "Anticipation: The End is Where We Start From."
  • What makes users unhappy: share-point team services web server security
    Computer & Internet Security is very important but sometimes it is so confusing and frustrating that it makes users very unhappy to a point where the system is so secure that it cannot be used by its most legitimate users, like system administrators

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