EDU-DEM advances our understanding of the role of education in fostering democratization processes in sub-Saharan Africa from the bottom up. Education has been long treated as an area of development programming that is separate from strengthening civil society formation and democratization processes. We still face several knowledge gaps in existing research on how education increases the agency of the wider civil sphere. This void is striking and it is here where EDU-DEM makes an innovative contribution to existing debates. In doing so, EDU-DEM will 1) explore the correlations between educational attainment and civil society characteristics and agency; 2) assess how formal and non-formal education systems and programmes increase the attention to and comprehension of local politics; 3) identify innovative, multi-scalar and context-specific approaches to nurture democratization processes through education. EDU-DEM brings together the disciplines of education and international development while drawing from and contributing to research on democratization, civil society and agency. Uganda serves as a case study as it exemplifies a striking paradox occurring in the majority of sub-Saharan African states. Despite a steady increase of funds and the commitment to support development through the grassroots level, experts witness weak democratization processes on the ground. Leading local CSOs consist of a small group of well-funded, urban-based organisations, led by a highly educated elite, with only a token presence in rural areas. On the other hand, the majority of grassroots and less-visible civil society actors are frequently characterized by political illiteracy –not to mention the country’s poorly educated wider civil sphere. The findings of this project will be published in a monograph, two journal articles, policy briefs and publicized to a non-specialized audience via outreach activities (e.g.: dedicated website, media and blog articles, round-table discussions).

I have recently introduced the Network Approach to Psychopathology. This approach is based on the interpretation of mental disorders as causal systems. Such systems have two basic building blocks: symptoms (i.e., problems like insomnia, fatigue, and concentration problems) and connections between symptoms (i.e., causal and homeostatic relations, such as insomnia → fatigue → concentration problems). Together, these building blocks constitute a network, which can be analyzed as a complex system. I have successfully used this approach to explain important phenomena in psychopathology research, such as comorbidity, spontaneous recovery, and prevalence differences between disorders. In addition, I have invented techniques to identify dynamic network structures from time series data, as obtained through experience sampling methodology. This proposal consolidates the Network Approach to Psychopathology through (a) further development and testing of methodologies, and (b) applications of the model to important research domains in clinical psychology. The project is structured in two postdoc projects and two Ph. D. projects. Postdoc project Network estimation and control develops analysis techniques for the estimation of large symptom networks. Postdoc project Early warning signals and transitions investigates whether transitions in symptom networks can be predicted using early warning signals, such as critical slowing down. Ph. D. project Resilience and vulnerability tests the hypothesis that more strongly connected networks are more vulnerable to disorders and investigates whether depressive episodes lead to prolonged changes in network structure. Ph. D. project The dark matter of psychopathology investigates the role of "anti-symptoms" – networks of positive factors that have buffering effects on symptom networks. This new approach to the study of psychopathology aims to establish a breakthrough in the understanding of mental disorders.