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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Faculty Publications</text>
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    <name>Conference Paper</name>
    <description>Faculty Publications- Conference Papers</description>
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          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
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              <text>Chacko, Elizabeth; Chowdhury, Piyali Roy; Bommisetti, Ravi Kumar; Gupta, Yogita; Puvvada, Sudhakara Rao; Painoli, Girish Kumar</text>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>It-Driven Governance Models for Social Impact and Community Development</text>
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          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <text>01-01-2026</text>
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          <name>Source</name>
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              <text>Proceedings of the 4th IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2026;</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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              <text>&lt;a href="https://doi.org/10.1109/IATMSI68868.2026.11465472" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IATMSI68868.2026.11465472&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105036947582?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105036947582?origin=resultslist&lt;/a&gt;</text>
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          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Chacko E., School of Business and Management, Christ University, Bangalore, India; Chowdhury P.R., School of Business and Management, Christ University, Bangalore, India; Bommisetti R.K., Akal University, Department of Commerce, Punjab, Bathinda, India; Gupta Y., Symbiosis Centre for Distance Learning, Department of Academics, Pune, India; Puvvada S.R., Bapatla Engineering College, Department of Management, Bapatla, India; Painoli G.K., School of Commerce and Management, Sanjivani University, Maharashtra, Ahilyanagar, India</text>
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          <name>Description</name>
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              <text>Local development planning in India is impaired by fragmented administrative datasets, limited citizen participation, and opaque decision processes despite the availability of India Stack primitives and Open Government Data (OGD) such as NFHS and MGNREGA. This study aimed to design, implement, and evaluate Federated Neuro-Symbolic Governance (FNSG), a privacy-preserving cross-silo framework that couples neural concept learners with symbolic rule synthesis, to deliver interpretable district-level decision support. FNSG operates in a hierarchical federated topology (district clients, state aggregator) using NFHS-5, MGNREGA, census/SECC proxies, and geospatial layers. Local clients train neural concept encoders, extract symbolic rule candidates, and transmit clipped, DP-noised updates plus anonymized rule evidence for secure aggregation and global rule distillation. In pilot experiments (K=20 districts, geographic holdout) FNSG achieved mean test AUC 0.84 versus centralized 0.88 and FedAvg 0.80, Precision@100 0.69, and produced concise global rules with fidelity ? 0.72. Privacy - utility sweeps indicate acceptable utility at ? ? 2 (AUC ? 0.82), with degradation at ? ? 1; convergence required ? 110 rounds and per-epoch client time ? 18 s on CPU (? 8 s on GPU). FNSG balances utility, interpretability, and data sovereignty. Policy implications include staged pilots, capacity building for district data centers, mandatory audit logs, and India Stack-mediated consent and integration.   2026 IEEE.</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Community Development; Differential privacy; Explainable AI; Federated Neuro-Symbolic Governance (FNSG); India Stack; Neuro-Symbolic AI; Open Government Data (OGD); Secure Aggregation</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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          <name>Relation</name>
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              <text>ISBN: 979-833154970-1;</text>
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          <name>Language</name>
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              <text>English</text>
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          <description>The nature or genre of the resource</description>
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              <text>Conference paper</text>
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          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
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              <text>online</text>
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