[Corpora-List] CFP IEEE DSAA 2020 - Special Session: Environmental and geo-spatial data analytics (EnGeoData)

Mathieu Roche mathieu.roche at cirad.fr
Fri Mar 20 17:28:46 CET 2020


################### ########## Call for Papers ######## ###### Special Session: Environmental and geo-spatial data analytics (EnGeoData) #### ### IEEE DSAA 2020 ## The 7th IEEE International Conference on Data Science and Advanced Analytics # 6-9 October 2020 - Sydney, Australia =====================================================================

AIMS AND TOPICS

Environmental and geo-spatial data is currently obtained by crowdsourcing and public administrations in the context of open data policies. Mining EnGeo data can provide significant insights and potentials to several domains such as public health, medicine, agriculture, among others. In public health, EnGeo data analysis can help detect, control, and monitor diseases caused by social phenomena (e.g., urbanization, globalization, trade, etc.), and by environmental factors (e.g., outdoor/indoor air pollution, water, sanitation, etc.). In the context on changing environment, "One Health" approaches focus on interconnection between people, animals, plants, and their shared environment. In this domain, ingestion and mining environmental and geo-spatial data is crucial for early detection, warning and assessment of threats for (re-)emergence of infectious diseases. In agriculture, the use of digital tools, methods, and technologies increases the amount of produced data, which can also be leveraged to identify variations in the field (e.g. crops, soil conditions, water quality), and to deal with them using alternative strategies. The analysis of EnGeo data is thus associated with two major challenges: 1) the integration of heterogenous data and formats due to the high variability of data types such as structured, semantic, spatial and temporal; and 2) the selection of the appropriate knowledge discovery process according to different fields. The main objective of this special session is to provide high quality research facing both challenges previously mentioned with theoretical or experimental approaches.

Topics: - Pre and post processing of environmental data - Geographical information retrieval - Spatial data mining, data warehousing, and spatial data lake - Knowledge discovery use-cases applied to environmental data - Spatial text mining - Spatial ontology - Spatial recommendation and personalization - Visual analytics for geospatial data - Dedicated applications:

* Spatio-temporal analytics platform

* Agricultural decision support systems

* Urban traffic systems

* Trajectory analysis

* Land-use and urban policies

* Land-use and urban planning analysis

* Spatio-temporal analysis in ecology and agriculture

* Disease surveillance systems (One Health)

---- SUBMISSION WEBSITE: https://easychair.org/conferences/?conf=dsaa2020 (special session EnGeoData)

Paper Submission Deadline: 24 May 2020 Paper Notification: 26 Jul. 2020 Paper Camera Ready Due: 9 Aug. 2020

--- Acknowledgements This session is supported by the MOOD project and the French National Research Agency under the Investments for the Future Program, referred to as ANR-16-CONV-0004 (#DigitAg). The MOOD project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 874850.

--- CHAIRS: J. Antonio Lossio-Ventura, Stanford University, USA David McMeekin, Curtin University, Australia Mathieu Roche, CIRAD, TETIS, France Maguelonne Teisseire, INRAE, TETIS, France

Contact: engeodata at teledetection.fr <mailto:engeodata at teledetection.fr>

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