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4th International workshop on Data Analytics solutions for Real-LIfe APplications
                        (DARLI-AP 2020)
              March 30th, 2020 Copenhagen, Denmark
              website: http://dbdmg.polito.it/darli-ap2020

In conjunction with with EDBT/ICDT 2020 Joint Conference
              March 30th-April 2nd 2020 Copenhagen, Denmark
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IMPORTANT DATES
Submission deadline:  January 10, 2020 *** NEW DEADLINE ***
Notification of evaluation results: January 23, 2020
Camera-ready deadline: January 31, 2020

OVERVIEW
In the last few years, the use of Information and Communication Technologies has made
available a huge amount of heterogeneous data in various real application domains.
For example, in the urban scenario Internet of Things (IoT) systems capture massive
data collections describing the overall urban environment as well citizen exploitation
and perception of available services. In health care systems, electronic health records
allow storing a variety of information about patients as adopted treatments and monitored
physiological conditions, while Internet of Medical Things (IoMT) ensures the availability
and processing of healthcare data through smart medical devices and web. Moreover, in most
domains, individual plays a crucial role generating data on the one side, but also driving
a user and context aware analysis process, and finally demanding an easily accessible and
understandable knowledge at the end of the process.

Digging deep these data collections can unearth a rich spectrum of knowledge in the targeted
domain valuable to characterize user behaviours, identify weaknesses and strengths, improve
the quality of provided services or even devise new ones. However, data analytics on these
data collections is still a daunting task, because they are generally too big and heterogeneous
to be processed through data analysis techniques currently available. Consequently, various
challenges about data science arise dealing with creation, storage, search, sharing, modelling,
analysis, and visualization of data, information, and knowledge.

Suitable data fusion techniques and data representation paradigms should be devised to integrate
the heterogeneous collected data into a unified representation describing all facets of the
targeted domain. Moreover, huge volume of data demands the definition of novel data analytics
strategies also exploiting recent analysis paradigms and cloud based platforms as Hadoop and
Spark. Proper strategies can also be devised for data and knowledge visualization, possibly
also involving user interactive interfaces.

The aim of the workshop is to allow academics and practitioners from various research areas to
share their experiences on designing cutting-edge analytics solutions for real-life applications.
Researchers are encouraged to submit their work-in-progress research activity describing innovative
methodologies, algorithms, platforms addressing all facets of a data analytics process providing
interesting and useful services.

Industrial implementations of data analytics applications, design and deployment experience
reports on various issues raising data analytics projects are particularly welcome. We call
for research and experience papers as well as demonstration proposals covering any aspect of
data analytics solutions for real-life applications.


TOPICS OF INTEREST
We invite the submission of work-in-progress research addressing various aspects of data management
and analytics for real-life applications. The workshop welcomes submissions of technical,
experimental, methodological papers, application papers, and papers on experience reports
in real-life application settings addressing -- though not limited to -- the following topics:
+ Data management and analytics
+ Methodologies, models, algorithms, and architectures for applied data science
+ Big Data frameworks and architectures
+ Data warehouses and large-scale databases
+ NoSQL and NewSQL databases
+ Energy-efficient computing
+ Metadata management
+ Scalable and/or descriptive analytics algorithms
+ Concepts, transparency methodologies, innovative and transparency solutions for sensing, modeling,
managing, mining, understanding citizens behavior, perceptions, activities, desiderata and needs
+ Real-time data analytics
+ Machine learning and deep learning techniques
+ Reinforcement learning models
+ Next-Generation Sequencing data analysis
+ Cloud computing techniques for data science
+ Parallel and distributed computing for data science
+ Performance optimization and benchmarks
+ Crowdsourcing and collaborative analyses
+ Personalization and recommendation techniques for Big and small Data
+ Question answering techniques and systems
+ Visualization methods for data-intensive applications
+ Privacy aware access and usage control
+ Privacy and security policies enforcement mechanisms
+ Privacy preserving data allocation and storage
In one of - though not limited to - the following application scenarios:
* Bio-sciences and healthcare
* Internet of Things
* Network traffic analytics
* Urban economy and urban environments
* Government transparency and IT against corruption
* Public safety and disaster relief
* Transportation
* Energy
* Financial applications
* Customer relationship management
* Agriculture
* Mobile applications
* e-commerce
* Business analytics and finance
* User-generated content (like tweets, micro-blog)
* Industry 4.0
* Data journalism
* Education
* Ethical issues, fairness and accountability
* Topics aligned with the UN development goals: https://www.un.org/sustainabledevelopment/sustainable-development-goals/

SUBMISSION INSTRUCTIONS
Submissions should present original results and substantial new work not currently
under review or published elsewhere. This workshop accepts:
-- Research papers (up to 8 pages) including novel approaches for methodologies and
   algorithms in real-life applications
-- Application papers (up to 6 pages) describing the exploitation of data management
   and analytics solutions in real-life applications
-- Industrial papers (up to 6 pages) describing experiences in the industry sectors.

Papers must comply with the ACM Proceedings Format. Manuscript Templates for Workshop Proceedings can be found at 
https://diku-dk.github.io/edbticdt2020/?contents=EDBT_CFP.html

Papers should be submitted in PDF format using the online easychair submission system 
https://easychair.org/conferences/?conf=darliap2020.

WORKSHOP CO-CHAIRS
Tania Cerquitelli (Politecnico di Torino, Italy, tania DOT cerquitelli AT polito DOT it)
Silvia Chiusano (Politecnico di Torino, Italy, silvia DOT chiusano AT polito DOT it)
Genoveva Vargas-Solar (CNRS, LIG-LAFMIA, France, genoveva DOT vargas AT imag DOT fr)

Contact Information
If you have any question or information request on DARLI-AP 2020 workshop, please send an email to tania DOT cerquitelli AT polito DOT IT.