Current context of urbanization, globalization, high mobility/trade, and climate change amid the health domain favors the (re-) emergence of known and unknown diseases. Thus, geospatial and environmental data analysis for One Health is crucial to provide insights into the connections between humans, animals, and environment. This type of analysis allows us to identify and monitor health issues that arise due to the interactions between these three areas. However, it is challenging due to: (1) the multi-modality of the data (e.g., unstructured, imaging, semantic, spatial, temporal, among others); and (2) the difficulty in choosing the "most appropriate” knowledge discovery process according to specific field needs (e.g., animal, plant or human health; crisis and disaster surveillance). EnGeoData'2023 aims to provide high quality research facing the challenges mentioned above with theoretical and/or experimental approaches.
Topics of interest include (but are not limited to):
Papers should be submitted electronically via EasyChair Submissions under the “Special Session” Track: https://easychair.org/my/conference?conf=dsaa2023
All accepted full-length papers will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library.
Formatting, Length, Policy:
The paper length allowed for the paper is a maximum of ten (10) pages. The format of papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: https://www.ieee.org/conferences/publishing/templates.html for further information and instructions. All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference’s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.
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