acm - an acm publication

Interviews are organized by the month and year in which they first appeared. To find an interviewee by name, use the search bar (at upper right).

Interviews

2002

  • Robert Aiken on the future of learning
    In the hands of skilled teachers, technology will provide students with the best possible education -- both face-to-face and distant, collaborative and individualized, and entertaining and instructional.
  • Inside PARC
    Johan de Kleer talks about knowledge tracking, smart matter and other new developments in AI.
  • The new computing
    Ben Shneiderman on how designers can help people succeed.
  • Mastering leadership
    Richard Strozzi-Heckler on moving to the next level.
  • Sold!
    Ajit Kambil on the inevitable, strategic use of electronic markets and auctions.
  • Quantum leaps in computing
    John P. Hayes on the next killer app, entangled states, and the end of Moore's Law.
  • A conversation with Ruby Lee
    Innovative computer scientist Ruby Lee talks about secure information processing, efficient permutations, fair use in the digital age, and more.
  • Talking with Erol Gelenbe
    An international perspective on ubiquitous computing and university education.
  • Computer science meets economics
    Yale's Joan Feigenbaum talks about the possibilities for interdisciplinary research, the new field of algorithmic mechanism design, and her radical views on security.
  • Bringing resources to innovation
    A ten-year study follows the venture capital business from relative obscurity to boom to retrenchment

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