Crowdsourced Intelligence vs. AI Propaganda: The Challenges of Global Governance in the Age of Digital Warfare

Authors : Rijjul Madaan , Danusri J , Saanvi Srivastava , Ochia Mathew Chidike , Richik Ghosal , Ritvik Sharma

ABSTRACT

Climate change is reshaping where and how vulnerable communities are able to live, while unequal access to mobility, energy and adaptive resources shapes their capacity to respond. This paper thus attempts to ask; what are the interconnected impacts of climate change on vulnerable communities, and how can integrated policy interventions leverage emerging technologies to advance equitable climate adoption? It draws on a collaborative section based qualitative analysis of government, UN, and academic secondary sources, and examines climate-induced migration through Sundar Sarukkai’s framework of lived experience freedoms; to be a part of, to leave, and to modify an environment. This exhibits how caste, gender,and household wealth can shape who is able to migrate, who is left behind as a “trapped population”, and who benefits from remittance- funded adaptation. It then traces how the same structural inequality shapes energy insecurity in India, and by means of a comparative case study, in Nigeria, where climate driven mobility redistributes rather than resolves energy demand. The paper thus evaluates the capacity of emerging technologies; GIS, remote sensing, digital twins, and artificial intelligence, to move adaptation planning across tangents from being reactive in nature to anticipatory in practice. It however also acknowledges that technological maturity is consistently outpaced by institutional and data constraints, and AI governance introduces its own risks around bias, privacy, and accountability that must be managed alongside its benefits. Synthesising these findings, the paper proposes an integrated policy framework of five interdependent pillars; vulnerability mapping, mobility planning, climate energy planning, anticipatory technology governance, and equitable AI governance. These, put together, argue that equitable adaptation depends less on developing new technology than on embedding it within functioning, accountable and public centred institutions.

Keywords:
Climate-induced migration; Energy insecurity; Emerging technologies; AI governance; Climate adaptation policy; Vulnerable communities; India–Nigeria comparative analysis

Authors : Adeleye Joshua Adeyemi, Nontobeko Zakhona Andiswa Ngubane, Mushe Khomola

Abstract :

Climate change remains to cripple food security across Central Africa, where a large proportion of the population depends on rain-fed agriculture survival. This study evaluated the environmental, economic, energy and agricultural factors shaping climate resilience and food security in vulnerable communities, using secondary time-series data spanning 2000 to 2025 across 14 variables, including 2 climate resilience variables (mean annual temperature and annual rainfall). Descriptive statistics, pre- and post-2013 period comparisons, Pearson correlation analysis, detrended correlation and multiple regression analysis were applied using SPSS. Findings show that undernourishment averaged 30% over the period, with persistently low cereal yields and minimal electricity access. Rising mean annual temperature (r = -0.610, p = 0.002) was significantly correlated with declining cereal yields (r = -0.880, p < 0.001). In the multiple regression model (R² = 0.907), electricity access and GDP per capita are the two strongest independent predictors of undernourishment, while political stability remained a significant bivariate correlate. These results suggest that energy infrastructure and governance, above agricultural land use or GDP, are central to food security outcomes defining how resilience-building efforts should be concentrated. Keywords:
Climate resilience, Food security, Agricultural productivity, Governance, Policy, Central Africa.