Internet of You: Data Big and Small
Final submissions due: 1 March 2015
Publication issue: November/December 2015
Please email the guest editors a brief description of the article you plan to submit by 1 February 2015.
Guest editors: Deborah Estrin and Craig Thompson (email@example.com)
We are at a great divide. Where our ancestors left behind few records, we are creating and preserving increasingly complete digital traces and models of almost every aspect of our lives. This special issue of IEEE Internet Computing aims to explore technologies and issues from small user-centric models of individuals to real-time analytics on huge aggregations of user data. At present, some are aspiring to create immortal avatars by letting you record everything about yourself and convert it into a model that's queriable, conversant, and possibly even active in gaining new experiences for itself. Meanwhile, others are equally concerned with stemming the tide of third-party data aggregation of individual models to mitigate risks that can evolve from this kind of near total information awareness.
This special issue seeks original articles that explore both small data (individual-scale data sources, processing, and modeling) and big data (community level aggregation and analytics). Topics include
- diverse data sources and digital traces, including email, Facebook, financial, health, location, images, sound, consumer transactions, and interests;
- methods to combine trace data into complete models; data liberation; kinds of user models, such as the physical self, memories, aspect-limited versus comprehensive models; and data quality, including managing history, change, comprehensiveness, and accuracy;
- methods to aggregate and process heterogeneous datasets, stages of life ontologies, the scope and purpose of these data collections, available public data sources;
- usage models for experience sampling — proximity, context, activity sensing, quantified self, situation-aware modeling, activities of daily living, my immortal avatar, workflows, and pattern learning;
- representation technologies such as agents, smartphones, wearable computing, personal sensing networks, pattern representation and adaptation, and natural language;
- new kinds of applications that draw insights from data analytics— including, recommendation systems, personalized health, real-time marketing, and predicting elections from twitter feeds;
- open architectures for personalization, the role of cloud computing, relevant emerging standards;
- concerns regarding privacy and surveillance, the extent of privacy erosion, taxonomy of privacy threats, and incentives and disincentives for sharing, the right to forget, and status of legal safeguards;
- privacy and security technology safeguards, including identity management, disclosure control, privacy-preserving data mining, de-identification, new security models, mechanisms that audit and control personal information flows and usage; and
- social and philosophical implications for humans' conception of self. Is there a natural boundary between user models and world models?