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Innovation Leaders

Innovation Leaders is a section of Ubiquity that consists of interviews of young professionals, who comment on their concerns about the future of computing and their ambitions to shape the future through their leadership. We probe how the interviewee's big concern grew up in their history, what they are doing about it in the present, and what ambitions and plans they have for shaping the future. Through this section, we aim to give voice to the many moving and compelling stories our young professionals are bringing to their work and our field.

In addition to the written interview, we offer each interviewee the opportunity to make a podcast of themselves reading their own interviews. Podcasts appeal to many busy young professionals who can listen while they are walking or commuting. The podcasts are linked to the interview page when it is published.

Our innovation leader interviews are made visible to a large community through our Facebook page and Twitter channel.

If you are interested in being interviewed as an innovation leader, contact our section editor, Bushra Anjum. She can be reached via Twitter @DrBushraAnjum.

Articles

  • A conversation with Tengyu Ma: developing mathematical tools to understand deep learning systems

    In this interview, Ubiquity's senior editor Dr. Bushra Anjum chats with Dr. Tengyu Ma, an assistant professor of Computer Science and Statistics at Stanford University. They discuss Dr. Ma's research that aims to bridge the gap between theory and practice in deep learning by developing novel mathematical tools to understand complex and mysterious deep learning systems.

  • A conversation with Kashyap Tumkur: the promise and challenges of precision medicine

    Ubiquity's senior editor Dr. Bushra Anjum chats with Kashyap Tumkur, a software engineer at Verily Life Sciences, the healthcare and life sciences arm of Alphabet. They discuss how the notion of "precision medicine" has gained popularity in recent times. Next, the focus turns to Tumkur's work, where he, along with his team, is working on collecting and integrating continuous time-series data to create a map of human health.

  • A conversation with Xiaokui Shu: the pursuit of speed in cybersecurity

    In this interview, Bushra Anjum, senior editor Ubiquity, sits down with Xiaokui Shu, a Research Staff Member at IBM, and they chat about the latest emerging issues in cybersecurity. Is it possible to discover modern cyber threats before attackers accomplish their goals? The discussion then turns to the new era of dynamic cyber defense, which consists of detection strategies and procedures developed on the fly by security analysts based on live observations.

  • A conversation with Felix Kerger: taking small steps to mitigate the universal problem of information overload

    In this interview, Ubiquity's senior editor Dr. Bushra Anjum chats with Felix Kerger, an experienced developer advocate working for King.com (Spain). They focus on the increasing challenges of information overload for computing professionals and students. The discussion then moves to some of the strategies that can be employed to make information easier to find and ensure the right audience receives the right information directly.

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