Academic field 5 · 60+ ideas
Social sciences
research ideas.
Qualified university research directions mapped to Social sciences. They are starting points for further scoping, literature review and supervision. They are not completed proposals or claims of novelty.
Ideas in this field
Search and filter these ideas →Scenario Planning for the Digital Transformation of Dutch Higher Education Systems by 2040
This research explores potential future trajectories for Dutch higher education, emphasizing the integration of digital technologies and the resulting systemic shifts in pedagogical and administrative models.
Integrating Climate Scenarios into Bayesian Models for Long-Term Regional Migration Forecasting
This study utilizes Bayesian hierarchical gravity models to project migration flows under various climate and economic scenarios. It suggests that future research should refine the integration of climate variables into these predictive models.
Where should cities place heat-safe transport stops first?
Informal commuters often wait in the hottest, least shaded parts of a city. This idea asks whether transport traces, surface temperature and health data can reveal the stops where small cooling investments would matter most.
Developing Standardized Metrics for Evaluating the Efficacy of Organizational Resilience Coaching Interventions
While organizational coaching is widely used to improve employee resilience, the lack of standardized evaluation metrics hinders comparative efficacy studies. This research proposes a roadmap for developing consistent assessment frameworks for resilience coaching.
Theoretical Frameworks for Data-Intensive Economies and Digital Governance Policy Design
This paper proposes a theoretical model of the data economy, arguing that data sharing is essential to correct market failures in knowledge production.
After the flood: how do informal care networks shape recovery?
Formal recovery metrics can miss the unpaid, relational work that gets households back on their feet. This project maps those care networks and the burdens they carry after major floods.
Integrating Indigenous and Local Knowledge into Multi-Hazard Risk Assessment Frameworks for Cultural Heritage
This research explores the development of multi-hazard, values-based risk assessment models for cultural heritage sites and living practices. It aims to bridge the gap between global climate adaptation policy and local implementation by integrating community-based knowledge into measurable adaptation indicators.
Decision-Making Frameworks for AI Moral Patienthood Under Conditions of Epistemic Uncertainty
This research explores how to establish ethical frameworks for the potential moral status of artificial intelligence when empirical evidence regarding machine consciousness remains fundamentally inconclusive. It seeks to define institutional and design-based approaches to precautionary action in the face of irreducible uncertainty.
Integrating Heritage Science and Machine Learning for Object Provenance and Restitution
This research explores the synthesis of material analysis, isotopic data, and high-resolution imaging with machine learning to reconstruct the historical biographies of cultural artifacts. The project aims to develop computational frameworks that can identify potential illicit provenance in digital marketplaces and facilitate evidence-based restitution processes.
Enhancing Foresight Maturity in SMEs Through Dynamic Capabilities and Strategic Stakeholder Integration
This study identifies key determinants of foresight maturity in manufacturing SMEs, emphasizing the role of dynamic capabilities. Future research could examine the causal relationship between foresight maturity levels and long-term financial performance.
Scalable Urban Energy Modeling for Climate Resilience in Densely Populated Coastal Metropolitan Regions
Urban energy demand is highly sensitive to climate-driven shifts in heating and cooling requirements. This study extends high-performance computing workflows to evaluate energy resilience in diverse urban building stocks.
Longitudinal Analysis of Maladaptation Risks in Indian Agricultural Climate Change Adaptation Strategies
This research explores the long-term impacts of agricultural adaptation strategies implemented by farmers in India. It aims to identify potential maladaptation outcomes resulting from current climate response practices.
Optimizing Horizon Scanning Inputs to Enhance Predictive Value in National Innovation Policy Scenarios
This research evaluates the predictive performance of horizon scanning compared to conventional forecasting methods in government scenarios. It suggests that refining input data and broadening field scope may further improve the predictive accuracy of future scenarios.
Evaluating Digital Financial Service Adoption Across Diverse Socioeconomic Groups for Sustainable Economic Growth
Digital financial services are critical for achieving SDG8, yet their adoption varies significantly across different population segments. This research examines how targeted policy interventions can improve financial literacy and digital inclusion to foster equitable economic development.
Evaluating Normative Interventions for Enhancing Public Trust in Shared Autonomous Public Transport Systems
Public trust is essential for the adoption of shared autonomous vehicles, yet safety perceptions remain the primary driver of user intention. This study investigates how normative messaging can be refined to complement safety communication strategies.
Validating Nudge-Based Misinformation Interventions in High-Volume Real-World Information Environments
This study explores the effectiveness of accuracy nudges in environments with varying proportions of misinformation. It highlights the need to test these interventions in more ecologically valid, high-volume settings.
What makes community-owned batteries survive beyond the pilot?
Many community energy trials end when grant funding does. This project would compare the governance, tariff and maintenance choices behind systems that remain useful five years later.
Where does gap-spotting enter a South African doctorate?
Published research questions in management are overwhelmingly framed as filling gaps in the literature rather than as challenges to underlying assumptions. Because this pattern has been established from finished texts, it is not known where in the doctoral and publication process a question changes form. The idea traces South African doctoral questions from proposal to thesis to journal article to locate that change and the actors and rules behind it.
Impacts of Split-Day Hybrid Work Models on Employee Performance and Wellbeing
This research explores the efficacy of 'split-day' hybrid work, where employees divide a single workday between office and home environments. The study aims to evaluate how this flexibility influences productivity, collaboration, and wellbeing compared to traditional full-day location models.
Optimizing Organizational Work Structures for Sustainable Human Performance
This research direction explores the relationship between various work arrangements—including duration, location, and flexibility—and the sustainable physical and cognitive capacity of employees. It seeks to move beyond traditional time-based metrics to evaluate how structural adjustments in work design influence productivity, wellbeing, and recovery across different types of professional tasks.
Multidimensional Assessment of Dream and Transitional States: Psychometric Validation of the MDEI-40
This research direction focuses on the psychometric validation of the Multidimensional Dream Experience Inventory (MDEI-40), a 40-item instrument designed to characterize states of consciousness ranging from sleep-related dreams to hypnagogic, hypnopompic, and waking hallucinatory experiences. The study aims to establish the instrument's reliability and construct validity, while also investigating the specific hypothesis that dream-related pain may arise from either the integration of external nociceptive stimuli or purely central, endogenous generation.
Do multilingual AI tutors narrow learning gaps without flattening local pedagogy?
A comparative study of AI-supported tutoring in multilingual classrooms, focusing on learning outcomes as well as the survival of local examples, idioms and teaching practices.
Do AI quality scores agree with South African experts on South African research?
Language-model scores of research quality correlate only weakly with expert judgement at the level of single articles, and the strength of that link varies by field. Evidence from African research systems is almost absent. The idea compares AI quality scores for South African articles with blinded expert ratings and tests whether prompting for national relevance changes the agreement.
Cognitive Determinants of Literacy Profiles in High-Ability Children with Working Memory Deficits
This research explores the heterogeneity of literacy outcomes in high-ability children who exhibit significant working memory impairments. It seeks to identify the factors that differentiate children whose literacy challenges remain limited to fluency from those whose difficulties manifest in decoding accuracy and spelling.
Testing Mediating Mechanisms of Intrapreneurship on Public Sector Innovation Capability and Organizational Performance
This study explores how entrepreneurial leadership influences innovation capability within public sector organizations. It proposes a model linking leadership behaviors to specific organizational outcomes through mediating mechanisms like psychological safety and digital readiness.
Integrating Social Practice Theory into Participatory Backcasting for Sustainable Urban Transport Transitions
This paper demonstrates how social practice theory can enhance the visioning phase of transport backcasting studies. Future research could explore the cross-cultural applicability of these practice-based scenarios in diverse urban environments.
Combining Imaginary Future Generations and Systems Thinking for Long-Term Societal Decision Making Processes
Addressing complex future challenges requires cognitive tools that bridge current policy with long-term impacts. This research examines the integration of systems thinking with future-generation perspectives to improve decision-making quality.
Evaluating Participatory Agenda Setting Methods for Inclusive Research and Innovation Governance Frameworks
This study explores the limits and benefits of involving public stakeholders in the early stages of research agenda setting. It aims to refine participatory methods to better align innovation with societal needs.
Integrating Soft Systems Methodology into Operations Research for Long-Term Strategic Scenario Planning
This paper explores the future of operations research by applying critical uncertainty approaches and soft systems methodology. It suggests that future studies should investigate the integration of these soft tools to address complex, non-linear changes in the field.
Long-term Psychological Impacts of Unpaid Care Work Imbalance on Lone Parents and Families
The Covid-19 pandemic highlighted significant gender disparities in unpaid care work and their subsequent impact on mental health. This research investigates the long-term psychological consequences of these imbalances for lone parents and dual-earner households.
Do future-research suggestions in African management journals ever get taken up?
Future-research sections are meant to guide later work, yet they often mirror the study's own limitations, and little is known about whether anyone follows them. The idea estimates how often future-research statements in African management journals are taken up in later work, and whether specific statements are taken up more than limitation restatements.
Comparing Energy Justice Outcomes in Individual versus Collective Heating Systems for Just Transitions
The transition to sustainable heating systems presents unique challenges for energy justice and equitable decision-making. This research compares the social and economic impacts of individual versus collective heating solutions to inform a more just energy transition.
Can urban night-light curfews deliver measurable biodiversity gains?
Cities are beginning to dim public lighting, but few programmes connect policy changes to multi-species ecological outcomes over time.
Transformative Business Process Redesign: Moving Beyond Automation to AI-Native Workflows
This research explores methodologies for fundamentally restructuring business processes to leverage the unique capabilities of artificial intelligence, rather than merely accelerating existing, legacy workflows. It seeks to identify the conceptual and operational shifts required to transition from AI-assisted automation to AI-native process design.
Drivers of Growth in Technical Services Firms: Beyond Service Quality, Trust, and Visibility
This research direction examines the relative influence of service quality, client trust, and market visibility on the growth trajectories of technical services firms. It seeks to determine whether these factors are sufficient to explain firm expansion or if additional, under-examined variables play a significant role.
Quantifying Measurement, Reporting, and Verification (MRV) Uncertainties in Ocean Alkalinity Enhancement
This research explores the primary technical barriers to accurate MRV in ocean alkalinity enhancement (OAE). It proposes the integration of observational data with predictive modeling to address uncertainties regarding air-sea gas exchange, background ocean variability, and ecological threshold responses.
Investigating Generative AI Impacts on Musical Participation and Cultural Diversity in Local Communities
The author argues that generative AI may reduce human participation in music, potentially diminishing cultural diversity. This study proposes an empirical investigation into how AI tools affect individual musical engagement and creative expression.
Implementing Future Ahead and Back Mechanisms to Enhance Long-Term Intergenerational Sustainability Decisions
This study explores how perspective-taking mechanisms influence individual choices regarding intergenerational sustainability dilemmas. Future research could investigate the real-world scalability of these mechanisms within institutional policy frameworks.
Integrating Foresight Methodologies into National Health Policy Frameworks for Future Shock Preparedness
Health systems face increasing volatility from emerging global health shocks and systemic crises. This research explores how structured foresight approaches can be embedded into policy-making cycles to improve long-term resilience.
Developing Robust Governance Frameworks for Artificial Intelligence Integration in Public Sector Decision Making
This study examines the intersection of artificial intelligence and governance structures within public administration. It proposes investigating how regulatory frameworks can be adapted to manage the rapid deployment of AI technologies.
Institutionalizing Anticipatory Governance Mechanisms Within National Macroeconomic Policy Frameworks and Decision-Making Processes
This study examines how anticipatory practices are integrated into macroeconomic governance to improve economic resilience. It proposes further investigation into the institutionalization of these practices across diverse national and cultural contexts.
Integrating Household Economic Factors into National Affordable Housing Policy Frameworks for Low-Income Groups
Malaysia's housing policies have struggled to meet affordability needs despite significant supply efforts. This research examines how policy frameworks can be adjusted to better account for household income and economic volatility.
Epistemic Justice and the Informal Oil Economy: Re-evaluating Artisanal Refineries in the Niger Delta
This study examines the framing of informal artisanal oil refining in Nigeria, arguing for a shift toward epistemic justice that acknowledges local knowledge and socio-economic realities.
Mapping the Socio-Economic Drivers of Migrant Participation in European Platform Labour Markets
This study explores the intersection of migration patterns and platform-based employment across diverse European contexts. It aims to identify the structural factors that influence migrant representation in the gig economy.
The hidden water footprint of small urban data centres
Hyperscale facilities are studied closely, but small edge and enterprise data centres may create a dispersed water burden that is poorly measured and rarely visible to city planners.
Mapping Future Educational Landscapes Through Causal Layered Analysis of Contemporary Fiction Narratives
Causal layered analysis of fiction provides a unique lens for uncovering deep-seated assumptions about the future of education. Future research could expand this analysis to include diverse cultural perspectives on AI-driven learning.
Evaluating Participatory Frameworks for Enhancing Stakeholder Inclusivity in Environmental Ecosystem Scenario Projects
This study introduces a participatory framework designed to improve stakeholder engagement and reflexivity in ecosystem scenario building. It proposes that this framework be tested and evaluated across ongoing transdisciplinary environmental projects.
Adapting Sustainable Space Governance Frameworks to Protect the Rights of Future Global Generations
Space governance is increasingly critical for managing intergenerational equity and global resource access. This research explores how current space policy frameworks can be adapted to address emerging challenges and protect future rights.
Knowledge Management Practices as Mediators for Strategic Foresight in Small and Medium Enterprises
This research investigates how knowledge management processes influence the relationship between business intelligence and strategic foresight. It seeks to understand how SMEs can better leverage internal knowledge to navigate market uncertainty.
Developing Non-Colonial Anticipatory Action Research Frameworks for Sustainable Future-Oriented Public Policy in Africa
The colonization of the future limits the ability of local communities to imagine and shape their own development trajectories. This research explores the application of non-colonial anticipatory action research to empower local knowledge production in African contexts.
Modeling Resilience and Recovery Dynamics in Behavior-Dependent Business Networks Following Major Regional Disasters
Post-disaster recovery is heavily influenced by the behavioral interdependencies within business networks. This research explores how these network dynamics facilitate or hinder long-term economic resilience.
Analyzing the Intersection of Social Capital and Digital Literacy in Higher Education Access
This study examines how socioeconomic status, social capital, and digital literacy interact to influence student access and success in higher education.
Evaluating Longitudinal Impacts of Collaborative Foresight Processes on Organizational Strategy and Decision Making
Collaborative foresight is increasingly used to navigate complex futures, yet its long-term impact remains under-researched. This study proposes an empirical evaluation of how collaborative foresight exercises influence strategic outcomes over time.
Evaluating Public Engagement Outcomes Through Speculative Design of Emerging Artificial Womb Technologies
Speculative design serves as a critical tool for facilitating public discourse regarding the societal implications of emerging biotechnologies. Future studies could assess the long-term impact of these design interventions on public policy awareness.
Developing Pedagogical Approaches to Foster Futures Literacy and Cognitive Diversity in Higher Education
This paper explores the concept of futures literacy as a critical competency for navigating diverse future possibilities. It suggests that future research should focus on how educational interventions can effectively cultivate these skills in diverse student populations.
Video-Based Learning Impacts on Undergraduate Business Numeracy Achievement: A Longitudinal Longitudinal Analysis
A longitudinal study evaluating the efficacy of video-based learning (VBL) in improving business statistics performance among first-year undergraduate students.
Mapping Strategy and Futures Methods: Relationships, Applications, Limits and Frontiers for Strategic Foresight
The contributor proposes a literature-based mapping of the methods associated with strategy and futures, asking what each comprises, how they complement one another, when they are used, and what is considered ineffective. The intended output is a structured guide for theorists and practitioners that identifies both existing resources and open research and practical frontiers for strategic foresight. The idea treats strategic foresight as a field whose methodological architecture can be described, compared and critically assessed.
Scenario-Based Approaches for Unlearning Urban Borders in Multidisciplinary Planning and Design Studios
This research investigates the application of scenario planning to address urban segregation and boundary-related challenges. It explores how multidisciplinary studios can use foresight to reimagine urban spaces.
A Comparative Analysis of Business Development Strategies Across Product, Commodity, and Service Sectors
This research explores the strategic variations in business development across different market offerings, specifically products, commodities, services, and professional/technical services. It seeks to identify core universal principles versus sector-specific requirements and examine the consequences of misapplying strategies across these categories.
Automated Color Grading Techniques for Cross-Scene Visual Consistency in Studio Production
This research explores the application of artificial intelligence to the challenge of color matching across disparate shots in high-end film and video production. It seeks to identify and evaluate computational techniques that can maintain visual continuity and studio-quality aesthetic standards.