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        <article-title>Special Track on AI for Socio-Ecological Welfare (AI Track)</article-title>
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          <string-name>México)</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
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        <aff id="aff0">
          <label>0</label>
          <institution>Mauricio Gabriel Orozco-del-Castillo, Instituto Tecnológico de Mérida</institution>
          ,
          <country country="MX">México</country>
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      <abstract>
        <p>Artificial Intelligence (AI) has demonstrated the capability to learn from past instances to provide significant positive solutions, specially those concerning with current and future socio-ecological issues. This special track focuses on harnessing the potential of AI to foster sustainable solutions for ecological conservation, natural resources management, society welfare, innovations in healthcare and digital therapeutics, and the intricate interplay among them. Additionally, this session is dedicated to explore innovative AI methodologies and applications that also contribute to solve global and regional social and ecological challenges, not necessarily related to Case-Based Reasoning.</p>
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