acm - an acm publication

2012 - January

  • A 10 Point Checklist for Getting it Off the Shelf: An interview with Dick Urban

    Far too many R&D programs in industry as well as government result in reports or prototypes that represent fundamentally good ideas but end up gathering dust on a shelf. Ellison "Dick" Urban, formerly of DARPA (Defense Advanced Research Projects Agency) and now the Director of Washington Operations at Draper Laboratory, has had considerable experience with technology transition. We talked to him about his guidelines for success.

  • The Law, the Computer, and the Mind: An interview with Roy Freed

    2011 marked the 50th anniversary of the first educational program on computer law, sponsored by the Joint Committee on Continuing Professional Education of the American Law Institute and the American Bar Association (ALI-ABA). In 1971 at an ACM conference, Roy Freed and six colleagues founded the Computer Law Association (CLA), an international bar association (renamed later as the International Technology Law Association).

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