Tutorial 1: Mobile Crowdsourcing for Smart City Applications
Abstract: This tutorial will discuss mobile crowdsourcing issues for smart city applications. In particular, it will motivate the use of incentives for better crowd participation from people carrying mobile devices, data quality, data analytics and trust issues among others. It will also discuss some open research problems in that domain.
Tutorial 2: Adaptivity in Database Kernels
Adaptivity addresses a class of problems related to database physical design optimization for scenarios where the workload is unknown and immediate availability is a requirement. The general strategy is to improve physical design by means of incremental changes, each guided by the current workload request. For instance, adaptive indexing builds partial in- dexes through steps during query processing rather than building full indexes. Adaptivity can also be applied on data storage layout in order to optimize relevant data exchange between memory hierarchy layers. Instead of having a fixed layout, adaptive storage re- designs data organization to answer incoming queries incrementally based on the current requests or recent workload pattern.
Tutorial 3: Social Professional Networks: Taxonomy, Metrics and Analyses of Relationship Strength
Social professional networks provide features not available in other networks. For example, LinkedIn facilitate professional networking, and GitHub enables committing and sharing code. Such networks also provide data on users, behaviors and interactions. Here, we foster a deeper understanding of the social professional networks types, definitions, features, analyses and applications while providing a useful taxonomy about their use. We also study the strength of ties, a central aspect that allows studying the roles of relationships. Therefore, besides analyzing the strength of co-authorship ties, we also present a set of metrics and algorithms to measure such strength in different contexts.