Core theoretical frameworks developed across Jason Miklian's research on business, peace, innovation, and artificial intelligence. Each concept is grounded in peer-reviewed research and designed for researchers, practitioners, and policymakers working in fragile contexts, international development, and technological governance.
How "Business for Peace" reconfigures the public/private divide in global governance, showing that businesses actively shape peace and conflict dynamics through five mechanisms: economic stabilization, social cohesion, political legitimacy, rule of law, and security enhancement.
Five mechanisms through which businesses contribute to peacebuilding: economic stabilization, cross-community social cohesion, political legitimacy generation, institutional and rule of law development, and localized security through economic incentives for non-violence.
Economic returns generated when private sector investment actively contributes to conflict transformation rather than merely operating in spite of conflict. Examines how impact investing, development finance, and commercial lending can be structured for both financial returns and measurable peace outcomes.
How the transition from conflict to peace creates distinctive business uncertainties and challenges. Drawing on Colombia's peace process, shows that businesses face a unique "peace-torn" environment requiring fundamentally new strategies for post-conflict economies.
Traditional crisis management fails under polycrisis conditions where multiple crises cascade and persist simultaneously. Calls for businesses to abandon sequential crisis response in favor of adaptive, community-embedded strategies that treat overlapping crises as the new normal.
Research framework for understanding how innovation processes contribute to sustainable peace and climate resilience in developing countries. Bridges innovation studies and peace research, arguing that innovation in fragile contexts operates under distinctive constraints and opportunities.
AI systems embed the ideological, cultural, and epistemic assumptions of their creators into their outputs. Because AI development is concentrated among a narrow demographic in a small number of countries, these embedded worldviews have downstream consequences for global political discourse and democratic participation.
Degradation of information ecosystems caused by AI systems embedding creators' worldviews. Creates a new form of digital divide disproportionately affecting democratic governance in the Global South, as AI systems trained on Western data systematically marginalize non-Western perspectives.
Public claims that a piece of writing is AI-generated, deployed as a pejorative in online discourse. Evidence from 25 million comments shows the accusation register rose more than tenfold from 2023 to 2026 and functions as social gatekeeping of perceived authenticity rather than as accurate detection of machine writing.
A typology of seven scholarly knowledge activities ordered by AI capability, from information retrieval and synthesis, where AI is already strong, to interpretive judgment, normative reasoning, and writing as thinking, where the scholar's cognitive engagement constitutes the contribution itself. Grounds differentiated AI governance for research.