Appreciative inquiry. According to Gervase R.
Bushe[1] (2013) "Appreciative Inquiry (AI) is a method for studying and changing social systems (groups, organizations, communities) that advocates collective inquiry into the best of what is in order to imagine what could be, followed by collective design of a desired future state that is compelling and thus, does not require the use of incentives, coercion or persuasion for planned change to occur. " Developed and extended since the mid 1980s primarily by students and faculty of the Department of Organizational Behavior at Case Western Reserve University, AI revolutionized the field of organization development and was a precursor to the rise of positive organization studies and the strengths based movement in American management.
" Basis and Principles[edit] The Appreciative Inquiry model is based on the assumption that the questions we ask will tend to focus our attention in a particular direction. Instead of asking “What’s the problem?” Artificial Intelligence for Development - Sample Research Projec. The Causal Structure of Food Shortage in Uganda How soon in advance can we predict a food shortage?
Variables such as market prices, drought, migrations, previous regional production, and seasonal variations all play a role in this classification and causal structure learning model to predict whether a rural inhabitant is likely to encounter difficulty in obtaining food. - G. Okori Catastrophe Modeling for Rwandan Disease Surveillance Can mobile phones be used as an early warning system for disease outbreaks? FSOkx: Finance Research Reports.