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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 Marianna Obrist: using touch, taste and smell in virtual and augmented experiences

    In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum sits down with Marianna Obrist, who is exploring augmented and virtual reality within the context of HCI. Obrist discusses multi-sensory interactions that go beyond sight and sound, as well as her work that explores the role of human senses in the design of future technologies.

  • An interview with Jason Ernst: incentives of a decentralized networking infrastructure

    In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum, sits down with Jason Ernst, CTO of RightMesh, to discuss how his company is using mobile mesh networks to decentralize existing network infrastructure in areas where it doesn't exist or is too expensive to maintain--effectively putting the control of data in the hands of the people.

  • An interview with Indrajit Roy: toward self-correcting systems

    Indrajit Roy is a staff engineer at Google. He is currently working on peta-scale distributed databases. Previously, he was a principal researcher at HP Labs where he led the development of Distributed R, an open source HP product that brings the benefits of parallelism to data scientists. Roy received his Ph.D. in computer science from UT Austin. He is also an inaugural member of the ACM Future of Computing Academy.

  • An interview with Lauren Maffeo: understanding the risks of machine learning bias

    Lauren Maffeo is a research analyst who joined the global technology sector in 2012. She started her career as a freelance journalist covering tech news for The Next Web and The Guardian. She has also worked with CEOs of pre-seed to profitable SaaS startups on media strategy. Lauren joined GetApp, a Gartner company, as a content editor in 2016. She covers the impact of emerging tech like AI on small and midsize business owners.

    Lauren has been cited by sources including Forbes, Fox Business, DevOps Digest, The Atlantic, and Inc.com. In 2017, Lauren was named to The Drum's 50 Under 30 list of women worth watching in digital. She holds an M.Sc. from The London School of Economics and a certificate in Artificial Intelligence: Implications for Business Strategy from MIT's Sloan School of Management.

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