ICSIS 2026

Call For Papers

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:

  1. Sustainability: Exploring strategies for environmental stewardship, resource efficiency, and climate resilience.
  2. Innovation: Showcasing cutting-edge technologies, business models, and entrepreneurial ventures that drive progress.
  3. 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:

๐ŸŒ 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, โ€œfollow-the-sunโ€ 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)
๐Ÿฅ 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)
๐Ÿ“š 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)
โšก 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)
๐ŸŒฟ 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)
๐ŸŒพ 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 ๋Œ€์‘ 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)
๐Ÿ’น 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)
๐Ÿงฌ 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)
๐Ÿ’ผ 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:

๐Ÿ’ก Innovation Themes
  • Modern and innovative generative and machine learning approaches โ€” Large language models, agentic AI, deep learning, and fedearated learning
  • Digital transformation and interoperable ecosystems โ€” enterprise architecture, data/platform strategies, interoperability standards, and cross-sector integration
  • Product/service/system innovation; design thinking โ€” ideation-to-prototype pipelines, user-centered design, experimentation, and field evaluation
  • AI-enabled innovation (GenAI, agents, copilots) โ€” human-AI collaboration, productivity innovation, decision support, automation, and adoption governance
  • Tech transfer, open innovation, living labs โ€” co-creation models, IP strategies, pilot design, real-world testbeds, innovation ecosystems
  • Entrepreneurship, venture building, ESG-aligned models โ€” startup scaling, impact measurement, sustainable finance, and responsible growth strategies
  • Frugal innovation and Global South perspectives โ€” inclusive design, low-cost solutions, resource-constrained deployment models, local innovation ecosystems
  • Responsible innovation โ€” ethics, privacy, assurance, risk assessment, transparency, and governance-by-design
  • Innovation policy โ€” regulatory sandboxes, public procurement, mission-oriented innovation, standards and compliance
  • Scaling & measurement โ€” OKRs, KPIs, RCTs, A/B tests, impact evaluation, and benchmarking practices
  • Innovation in Artificial Intelligence & Data โ€” trustworthy ML/LLMs, data governance, MLOps/LLMOps, evaluation protocols, privacy-by-design innovation
  • Innovation in Industry & Manufacturing โ€” Industry 4.0/5.0, digital twins, automation, predictive maintenance, quality analytics, sustainable operations
  • Innovation in Digital Transformation โ€” organizational change, process innovation, change management, platform modernization, legacy migration strategies
  • Innovation in Social Impact โ€” civic innovation, social entrepreneurship, impact measurement frameworks, community-centered programs
  • Innovation in HealthTech โ€” diagnostics support, workflow innovation, remote care, regulatory pathways, clinical integration studies
  • Innovation in EduTech โ€” AI tutoring, learning platforms, assessment innovation, learning analytics governance, inclusion/accessibility innovation
  • Innovation in GovTech & Policy โ€” digital public services, service design, procurement innovation, transparent automation, policy impact evaluation
  • Innovation in Global Development โ€” 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:

๐ŸŒ Society Themes
  • Human-centered AI โ€” usability, explainability, transparency, trust calibration, human-AI collaboration, and user experience evaluation
  • Governance, law, and public policy โ€” algorithmic accountability, auditing, regulation, compliance, and public value assessment
  • Ethics, equity, inclusion, and social justice โ€” fairness, accessibility, bias mitigation, inclusive design, and socio-technical impact assessment
  • Smart cities & civic tech โ€” digital participation, open data ecosystems, urban analytics, citizen-centered service design
  • Digital health equity โ€” access, trust, cultural considerations, participatory digital health, social determinants of health
  • Media and information ecosystems โ€” misinformation/disinformation detection, fact-checking pipelines, platform governance, information integrity
  • Work, automation, and labor markets โ€” job redesign, reskilling, organizational transformation, productivity and well-being impacts
  • Culture, heritage, and the arts โ€” immersive experiences (AR/VR/MR), digital heritage, creative industries, cultural participation
  • Migration, displacement, resilience โ€” crisis informatics, humanitarian systems, service access, integration and community support systems
  • Mixed methods and participatory approaches โ€” ethnography, co-design, action research, field studies, and societal impact evaluation
  • Society and Social Justice โ€” digital inclusion, accessibility, rights-based design, equity metrics, participatory governance
  • Society and Education โ€” equitable access, learning technologies and outcomes, inclusion, policy and institutional frameworks
  • Society and Governance โ€” public accountability, policy-making, citizen engagement, transparency mechanisms
  • Society and Community Engagement โ€” civic participation, living labs, community-centered design, stakeholder ecosystems
  • Society and Technology Ethics โ€” ethical frameworks, risk assessments, auditing, assurance, and responsible AI practices
  • Society and Well-being โ€” quality of life, mental health, digital well-being, work-life impacts, social support systems
  • Society and Cultural Diversity โ€” intercultural design, multilingual systems, cultural sensitivity, inclusive participation in digital services
  • Society and Media โ€” platform governance, information literacy, media ecosystems, digital public spheres