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"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Mon, 16 Mar 2020 11:19:04 +0100
Federico Montori <[log in to unmask]>
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Federico Montori <[log in to unmask]>
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Call for Papers: IEEE IoT-Sencity 2020 (co-located with IEEE SECON 2020)
1st Workshop on IoT-Crowdsensing for Smart Cities
22th - 26th June @ Como, Italy

We recall that, even though the COVID-19 emergency has blocked many events
in Italy, the workshop and the conference will not be canceled. The
conference organizers will communicate a solution shortly.

The Internet of Things (IoT) paradigm is growing at a significant pace and
several services are now built on the data obtained from connected smart
objects. The emerging IoT paradigm with the Big Data paradigm, provides the
foundations to extract common knowledge from data made available by humans,
institutions, or smart objects for supporting decision making. The
paradigms of Crowdsourcing and Mobile Crowdsensing (MCS) have long been
used to seek contributions from a crowd of participants who commit to
perform certain agreed tasks. With the omnipresence of IoT, underpinned by
mobile smart devices, IoT-Crowdsensing (IoT-CS) is gaining increased
interest where smart mobile devices and IoT devices undertake the task of
collecting data about phenomena of interest.

Although fascinating and potentially disruptive, this paradigm inherently
carry a set of technical challenges at various levels, which should be
studied by different research communities: battery efficiency, efficient
participant recruiting, data aggregation and processing, data quality,
incentivization techniques, mobility, application semantics and privacy to
name some of the hot facets of IoT-CS.

In line with such objectives, this workshop aims to provide a platform for
researchers and practitioners to discuss and share the current and emerging
state-of-the-art, challenges and solutions in IoT-CS specifically targeting
Smart Cities. We solicit original contributions in topics of interest
including, but not limited to, the following:

   -     Energy efficiency in MCS services and applications
   -     Protocols enhancement for crowdsensed services
   -     Social Internet of things
   -     Big data semantics
   -     Data science for MCS services
   -     Environmental Monitoring
   -     Opportunistic MCS services
   -     Rewarding mechanism for MCS services
   -     Fog computing for Collaborative IoT
   -     Heterogeneous data aggregation
   -     Machine learning techniques for data aggregation
   -     Machine learning techniques for data classification
   -     MCS testbeds and platforms
   -     NLP techniques for crowdsensed services
   -     Privacy for crowdsensed data
   -     User behavior classification from public data
   -     User activity recognition
   -     User profiling

Inportant dates:

   - March 15th March 29th - Paper Submission Deadline
   - April 20th - Notification of Acceptance
   - May 1st - Camera Ready Submission Deadline

Federico Montori
Research Fellow
Department of Computer Science and Engineering
University of Bologna, Italy

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