The 2nd International Conference on Sustainability, Innovation, and Society (ICSIS 2026) invites scholars, researchers, practitioners, policymakers, and industry leaders to share original research, case studies, and forward-looking perspectives that tackle the most pressing sustainability, innovation, and societal challenges.

ICSIS 2026 provides a unique arena for cross-disciplinary dialogue and the co-creation of solutions that transcend traditional academic and sectoral boundaries.

The conference strengthens its role as a collaborative hub where expertise from computer science, engineering, life sciences, health, social sciences, education, economics and management, design, and public policy converges.

By bringing together voices from academia, industry, and governance, ICSIS 2026 aims to transform knowledge into actionable insights, impactful innovations, and sustainable practices that can guide societies toward more resilient, just futures.

ICSIS 2026 is structured around three core tracks, each representing a pillar of our shared future:

    Sustainability: Exploring strategies for environmental stewardship, resource efficiency, and climate resilience.
    Innovation: Showcasing cutting-edge technologies, business models, and entrepreneurial ventures that drive progress.
    Society: Examining social dynamics, governance frameworks, and cultural shifts that shape our collective well-being.

Conference Tracks

Track 1: Sustainability

This track focuses on theories, methods, systems, policies, and applications that advance environmental, social, and economic sustainability. Topics include:

Sustainability in Technology

    Sustainable software engineering and green DevOps (energy-aware design, refactoring, testing, CI/CD, observability, and sustainable SLAs)
    Green cloud/edge/IoT architectures, microservices, and workload placement (energy- and carbon-aware orchestration, serverless efficiency)
    Carbon-aware scheduling and resource management (demand shifting, renewable-aware routing, elastic scaling, “follow-the-sun” computing)
    AI for sustainability & sustainable AI (efficient training/inference, federated learning, pruning/quantization, on-device/edge learning)
    Sustainable data platforms (data governance, data quality, lineage, responsible data sharing for sustainability datasets)
    Lifecycle assessment (LCA) and digital product passports for software/hardware ecosystems; metrics, standards, and conformance
    Sustainable cybersecurity and resilience (secure-by-design systems that minimize computational overhead and prolong device lifetimes)
    Digital twins for sustainable infrastructure and operations (cities, energy systems, industrial processes, logistics)
    Sustainability benchmarking, auditing, and reporting for ICT (carbon accounting pipelines, measurement methodologies, ESG dashboards)

Sustainability in Health

    Low-resource digital health and telemedicine (remote monitoring, offline-first systems, connectivity-constrained care pathways)
    Privacy-preserving modeling (federated learning, secure aggregation, differential privacy), fairness in clinical AI, bias assessment/mitigation
    Explainable and trustworthy medical AI (interpretability, auditability, clinical validation and deployment governance)
    Sustainable medical devices and health IT (repairability, lifecycle management, circular procurement, e-waste reduction)
    Resilient health systems under climate stress (heatwaves/disasters: preparedness, capacity planning, surveillance and early warnings)
    Green hospital operations (energy optimization, smart facilities, sustainable logistics and supply management)

Sustainability in Education

    Sustainable campuses and green IT (energy management, device lifecycle, procurement, reuse and refurbishment strategies)
    Curricular innovation for sustainability literacy (interdisciplinary programs, project-based learning, learning outcomes and assessment models)
    Learning analytics for equity and retention (ethical analytics, privacy-aware data collection, transparent interventions and outcomes)
    EdTech for sustainability (simulations, serious games, digital labs, and tools that support systems thinking and behavior change)
    Institutional policy and governance for sustainable education (data governance, digital inclusion, accessibility, and green procurement)

Sustainability in Energy

    Smart grids, VPPs, and storage integration (forecasting, optimization, distributed control, demand response)
    EV charging management and edge intelligence (load balancing, dynamic pricing, user behavior modeling, battery-aware optimization)
    Carbon-aware dispatch and planning (renewable integration, load shifting, grid-edge coordination)
    Cybersecurity for energy infrastructure (intrusion detection, robust control, resilience testing, safety assurance)
    Energy communities and prosumer ecosystems (data sharing, governance, incentives, blockchain and distributed ledgers when relevant)
    AI-driven energy forecasting and anomaly detection (grid stability, predictive maintenance, fault localization)

Sustainability in Environment

    Environmental monitoring, remote sensing & digital twins (air/water quality, biodiversity, urban climate, coastal monitoring)
    Climate risk analytics and adaptation planning (hazard modeling, impact assessment, resilience scoring, scenario simulation)
    Circular economy, waste & water management (smart collection routes, automated sorting, reuse marketplaces, sustainable treatment technologies)
    Nature-based solutions and ecosystem restoration (monitoring effectiveness, decision support, stakeholder engagement)
    Urban sustainability and built environment (green buildings, district energy, heat island mitigation, sustainable materials)
    Disaster risk reduction and early warning systems (sensor networks, forecasting, evacuation and response optimization)

Sustainability in Agriculture

    Precision agriculture (IoT, robotics, drones) for irrigation optimization, nutrient management, pest/disease detection, and soil health monitoring
    Fisheries/aquaculture sustainability (monitoring, traceability, feeding optimization, ecosystem-aware management)
    Yield forecasting and climate adaptation (risk modeling, drought/flood 대응 planning, adaptive management strategies)
    Sustainable food supply chains (traceability, cold-chain optimization, food loss/waste reduction, demand forecasting)
    Agri-environmental policy and incentives (data-driven compliance monitoring, sustainability certification systems)

Sustainability in Economy & Society

    ESG/SDG metrics and impact measurement (indicators, assurance, auditing, reporting pipelines, dashboards)
    Carbon markets and climate finance (pricing mechanisms, MRV systems, transparency and integrity analytics)
    Just transition, labor markets and green skills (workforce transformation, reskilling, equity and inclusion)
    Urban sustainability, mobility & housing (sustainable transportation, smart mobility, equitable housing systems)
    Policy, governance and participatory approaches (stakeholder engagement, community-led innovation, living labs)
    Behavior change and sustainable consumption (nudging, feedback systems, participatory sensing, social innovation)

Sustainability in Bioinformatics & Life Sciences

    Conservation genomics; eDNA for ecosystem monitoring; biodiversity informatics and species distribution modeling
    Sustainable bio-manufacturing and materials (data-driven optimization, pipelines for bioprocess modeling, responsible scale-up)
    Data standards, privacy, and responsible data sharing (governance, access control, ethics for sensitive biological data)
    Reproducible workflows and sustainable computing practices in life sciences (efficient pipelines, provenance, containerized methods)
    AI for life sciences with sustainability outcomes (drug discovery efficiency, ecological modeling, sustainable agriculture bioinformatics)

Sustainability in Business

    Green business models and circular economy practices (product-service systems, circular design, sharing economy, reverse logistics)
    Corporate sustainability governance: CSR and ESG strategies (board governance, incentives, disclosure, and assurance)
    Sustainable supply chains and ethical sourcing (traceability, compliance, risk analytics, transparency and due diligence)
    Data-driven decision making for sustainability reporting (analytics, KPI design, automated reporting, auditing tools)
    Responsible innovation and sustainable entrepreneurship (scaling impact, stakeholder value, sustainable finance and investment)

Track 2: Innovation

This track examines how innovations are created, validated, scaled, governed, and financed. Topics include:
Innovation Themes

    Modern and innovative generative and machine learning approaches — Large language models, agentic AI, deep learning, and fedearated learning
    Digital transformation and interoperable ecosystems — enterprise architecture, data/platform strategies, interoperability standards, and cross-sector integration
    Product/service/system innovation; design thinking — ideation-to-prototype pipelines, user-centered design, experimentation, and field evaluation
    AI-enabled innovation (GenAI, agents, copilots) — human-AI collaboration, productivity innovation, decision support, automation, and adoption governance
    Tech transfer, open innovation, living labs — co-creation models, IP strategies, pilot design, real-world testbeds, innovation ecosystems
    Entrepreneurship, venture building, ESG-aligned models — startup scaling, impact measurement, sustainable finance, and responsible growth strategies
    Frugal innovation and Global South perspectives — inclusive design, low-cost solutions, resource-constrained deployment models, local innovation ecosystems
    Responsible innovation — ethics, privacy, assurance, risk assessment, transparency, and governance-by-design
    Innovation policy — regulatory sandboxes, public procurement, mission-oriented innovation, standards and compliance
    Scaling & measurement — OKRs, KPIs, RCTs, A/B tests, impact evaluation, and benchmarking practices
    Innovation in Artificial Intelligence & Data — trustworthy ML/LLMs, data governance, MLOps/LLMOps, evaluation protocols, privacy-by-design innovation
    Innovation in Industry & Manufacturing — Industry 4.0/5.0, digital twins, automation, predictive maintenance, quality analytics, sustainable operations
    Innovation in Digital Transformation — organizational change, process innovation, change management, platform modernization, legacy migration strategies
    Innovation in Social Impact — civic innovation, social entrepreneurship, impact measurement frameworks, community-centered programs
    Innovation in HealthTech — diagnostics support, workflow innovation, remote care, regulatory pathways, clinical integration studies
    Innovation in EduTech — AI tutoring, learning platforms, assessment innovation, learning analytics governance, inclusion/accessibility innovation
    Innovation in GovTech & Policy — digital public services, service design, procurement innovation, transparent automation, policy impact evaluation
    Innovation in Global Development — humanitarian innovation, resilient infrastructure, frugal digital systems, inclusive capacity building

Track 3: Society

This track centers on people, institutions, culture, and governance, and their interactions with technology and organizational change. Topics include:
Society Themes

    Human-centered AI — usability, explainability, transparency, trust calibration, human-AI collaboration, and user experience evaluation
    Governance, law, and public policy — algorithmic accountability, auditing, regulation, compliance, and public value assessment
    Ethics, equity, inclusion, and social justice — fairness, accessibility, bias mitigation, inclusive design, and socio-technical impact assessment
    Smart cities & civic tech — digital participation, open data ecosystems, urban analytics, citizen-centered service design
    Digital health equity — access, trust, cultural considerations, participatory digital health, social determinants of health
    Media and information ecosystems — misinformation/disinformation detection, fact-checking pipelines, platform governance, information integrity
    Work, automation, and labor markets — job redesign, reskilling, organizational transformation, productivity and well-being impacts
    Culture, heritage, and the arts — immersive experiences (AR/VR/MR), digital heritage, creative industries, cultural participation
    Migration, displacement, resilience — crisis informatics, humanitarian systems, service access, integration and community support systems
    Mixed methods and participatory approaches — ethnography, co-design, action research, field studies, and societal impact evaluation
    Society and Social Justice — digital inclusion, accessibility, rights-based design, equity metrics, participatory governance
    Society and Education — equitable access, learning technologies and outcomes, inclusion, policy and institutional frameworks
    Society and Governance — public accountability, policy-making, citizen engagement, transparency mechanisms
    Society and Community Engagement — civic participation, living labs, community-centered design, stakeholder ecosystems
    Society and Technology Ethics — ethical frameworks, risk assessments, auditing, assurance, and responsible AI practices
    Society and Well-being — quality of life, mental health, digital well-being, work-life impacts, social support systems
    Society and Cultural Diversity — intercultural design, multilingual systems, cultural sensitivity, inclusive participation in digital services
    Society and Media — platform governance, information literacy, media ecosystems, digital public spheres