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  • Expression of Interest

    Index Calculation for CLIMate (icclim) use, testing, and expedite further development in several food and water insecurity scenarios, with the aim extracting and predicting useful information for the management of these resources
    data analysis, open-source software development, geology, molecular biology, medicine, chemistry, physics, microbiology, Open Science, IoT sensors for meteorology, weather modelling, machine learning

    Food and water insecurity are long-known issues for which the United Nations (UN) has defined clear objectives for the next years, for the 2 problems mentioned, these correspond to sustainable development goal (SDG) 2 (Zero Hunger) and SDG 6 (Ensure access to water and sanitation for all). Climate is a crucial component of these problems, as it not only determines many times water availability for communities, but it also determines agricultural yields of human civilizations (with special vulnerability of their smallest communities).

    Open Data and Software has come to revolutionize and accelerate the development of science. Some of the benefits of these 2 resources being open are that they allow for the economization of resources by the reuse of existing data/tools, and improving research reproducibility and collaboration ease (Bezjak et al., 2018). Tackling the aforementioned SDGs (2 and 6) require a multidisciplinary scientific approach. Therefore, innovations from Open Data/Software, for instance, development/maintenance of IT tools would aid in providing an efficient development of the scientific fields concerned in addressing the food and water insecurity that the world is facing and is in danger of continue worsening.

    Because of the high number of variables, expensive equipments, measurements, and data analyses needed for the multidisciplinary study of climate change and its impact of SDG 2 and 6, the principles of Open Science will improve accessibility to reliable information for countries who are facing the worst consequences of the world’s food and water insecurity.

    The overall goal of this consortium is to aid in solving Open & Re-usable Research Data & software (ORD) challenges in the field of meteorology and related sciences with a particular focus on those with a high impact on the food and water insecurity of the world. In order to achieve this, we plan to establish collaborations with future Water4All consortiums (so far, we have ongoing conversations with the possible future consortium: Pre-proposal Water4all-2022-00090).

    Of particular importance for the current call, there are areas opportunities in terms of 1) reference data sets, 2) editorialization of data, and 3) the development or further improvement of software tools in the matter. The aim of the current project is to help improve many of these Open Science aspects with a consequently direct impact on SDG 2 and 6. We will focus particularly on the 3rd previously mentioned area of opportunity, but along the implementation of this main focus, we are planning to accomplish achievements on the 1st and 2nd aforementioned opportunity areas.

    1) Victor Issa-Garcia, MD/MSc at UNIL and CHUV / LNDS, Switzerland

    2) Prof. Dr. Christian Pagé at CERFACS (Climate Modeling and Global Change), France

    3) Prof. Dr. Paweł Karczmarek is part are group of researchers at Lublin University of Technology (Department of Computer Science), Poland

    4) Prof. Dr. İbrahim Kırbaş at Burdur Mehmet Akif Ersoy University (Faculty of Engineering and Architecture, Department of Computer Engineering), Turkey

    data analysis

    IT tools developer skills

    geological/biological/chemical/physics/etc. field personnel

    chemical, molecular and microbiological testers/analyzers

    Open Science expertise

    IoT sensors for weather forecasting and many other meteorological measurements

    weather modelling skills

    machine learning skills