acm - an acm publication

2008 - September

  • The Three Acid Tests of Persuasive Writing
    If there are still scientists toiling away with little regard for what others may think of their efforts, it's time to drag them kicking and screaming into the 21st century. In today's interconnected world, what scientists do is of vital concern to the wider public. And vice versa. Just consider the controversies surrounding nuclear energy, genetic engineering, telephone antennas, global warming -- and even the effects of computers on education and individual liberty (surveillance society).
  • My Problem with Design
    I was reminded today of the things I find troubling about our modern notions of design and designing. Hundreds of years ago, if one wanted to become a designer, one would first have become a master craftsperson. We learned how to construct distinctive artifacts (and worlds of artifacts) and then we began to innovate in that tradition. To say one was a designer without that background would have been Harry Potteresque: ridiculous.

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