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2016 Symposia

A 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: The Internet of Things

Table of Contents

  1. The Third Wave (Opening Statement) by Kemal Delic
  2. Discovery in the Internet of Things by Arkady Zaslavsky and Prem Prakash Jayaraman
  3. W3C Plans for Developing Standards for Open Markets of Services for the IoT  by Dave Raggett
  4. Standards for Tomorrow by Dejan Milojicic, Paul Nikolich, and Barry Leiba
  5. A Case for Interoperable IoT Sensor Data and Meta-data Formats by Milan Milenkovic
  6. Programmable IoT: On The role of APIs in IoT by Maja Vukovic
  7. Fog Computing Distributing Data and Intelligence for Resiliency and Scale Necessary for IoT by Charles Byers and Patrick Wetterwald
  8. Evolution and Disruption in Network Processing for The Internet of Things by Lorenzo di Gregorio
  9. The Importance of Cross-Layer Considerations in a Standardized WSN Protocol Stack Aiming for IoT by Bogdan Pavkovic, Marko Batic, and Nikola Tomasevic
  10. Using Redundancy to Detect Security Anomalies Toward IoT Security Attack Detectors by Mladen A. Vouk and Roopak Venkatakrishnan
  11. Ensuring Trust and Security in the Industrial IoT by Bernardo A. Huberman
  12. On Resilience of IoT Systems by Kemal Delic
  13. IoT in Energy Efficiency by Francois Jammes
  14. IoT: Promises, Perils, Perspectives (Closing Statement) by Kemal Delic

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