acm - an acm publication

2016 - March

  • The Rise of Computational Biology: An interview with Prof. Thomas Lengauer

    In this wide-ranging interview, we will hear from a pioneer in computational biology on where the field stands and on where it is going. The topics stretch from gene sequencing and protein structure prediction, all the way to personalized medicine and cell regulation. We'll find out how bioinformatics uses a data-driven approach and why personal drugs may become affordable. We'll even discuss whether we will be able to download our brains into computers and live forever.

  • Science, Reason, and Robots

    Science depends on logical reasoning. However, the conclusions one comes to intimately depend on the explicit, or more often implicit, assumptions on which the reasoning is based. Here is an example of how logical reasoning based on different assumptions can lead to diametrically opposite conclusions.

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