acm - an acm publication

2004 - December

  • Review of Activity-Centered Design
    With new insights to a well-documented topic, this book offers an excellent incentive and useful tools for system designers to pursue activity-centered design.
  • Reflections on the Limits of Artificial Intelligence
    Nature is very simple and efficient in everything she makes, and is extremely obvious. We humans like to simulate in an extremely complicated manner what exists quite simply in nature, and what we succeed in simulating falls in the category of artificial intelligence. Artificial intelligence has limits of scope, but they fade away when compared with the performances of natural intelligence. In this study, we undertake to outline some limits of artificial intelligence compared to natural intelligence and some clear-cut differences that exist between the two.
  • Technologically Mediated Lifeworld
    Understanding the connection between science and technology is an essential step toward creating a more humane technoscience in the future.
  • Computing or Humanities?
    The application of computing to research problems in the humanities is not new...
  • 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."
  • Michael Schrage on Innovation
    Looking for the great clients who are the true innovators? Co-director of the MIT Media Lab's eMarkets Initiative, a senior advisor to MIT's Security Studies Program, and a consultant to MIT's Langer Labs on technology transfer issues, Michael Schrage conducts research on the economics of innovation. His particular focus is on the role of models, prototypes and simulations in managing interactive iterative design, an area in which he works with a number of companies.

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