acm - an acm publication

2008 - December

  • Long Live the .250 Hitter
    The dearth of women in computing is very much on everyone's mind. Elena Strange offers a new perspective on this. She observes that the solid, utility hitters (and players) are the backbone of every baseball team. In playing on her computing teams she has no aspirations for MVP awards and strives for personal excellence in the things she does. She asks her male colleagues to value her as a .250 hitter without holding her to the standard of a .314 hitter. This simple change could open the gates to a flood of women in computing. Elena holds Grace Hopper as the equivalent of the legendary .314 hitter in computing. Hopper told her friends that she was never aspiring to be a legendary leader, but only to do the best possible job with the tasks that were before her. Be personally excellent and interact with people from your heart, said Hopper, and all the rest will take care of itself. You can see in Elena's story the seeds that Grace Hopper planted.

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).

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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