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Research
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Research Projects
This project is led by the Dynamics Lab. The research focuses on the delivery of Irish healthcare provision through the roll-out of Primary Care Teams at the local level. It examines the evolution over time of the social networks underpinning Primary Care Teams. Using a decision network approach, it explores the conditions which might enhance and/or restrict collaboration within Primary Care Teams. This project is part of a larger research programme entitled "Innovation Policy Simulation for the Smart Economy" (IPSE) funded under PRTLI5, Strand 2. (2011-2016). Contact Diane Payne This e-mail address is being protected from spambots. You need JavaScript enabled to view it
TCD and UCD have a developed expertise in Simulation Science education. Through the sharing of taught modules, high end computational and data facilities and research projects a joint PhD program in Simulation Science was proposed where the Dynamics Lab is a lead partner of the social science part of the PhD programme CSCS "Complex Systems and Computational Social Science". The SIMSci PhD Programme is funded under PRTLI 5, Strand 3 (2011-2016) Contact Diane Payne This e-mail address is being protected from spambots. You need JavaScript enabled to view it
This research focuses on the conditions under which actors are likely to cooperate (or defect) through establishing transitive and reciprocal relationships along social networks and institutions in local practices of natural resources management among rural communities in East Usambara Mountains, Tanzania. Working within the field of Social Network Analysis and Relational Sociology, this doctoral research specifically draws on theories of mutual self-interest and collective action as well as network exchange theories. The study particularly seeks to explore mechanisms within social networks which encourage collaboration and exchange across network actors under alternate risk scenarios. In the process, it applies a stochastic actor-oriented model to elaborate and test further hypotheses regarding how networks evolve over time to manage collective action problem. As part of the field work, the research encompasses collection and analysis of three waves of network data. Contact Mathew Senga < This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Collaborative research has become the dominant way to produce high-quality scientific output, therefore collaboration structures have also become a target for research. Within this PhD research, a framework is developed to analyze, explain and visualize organizational development with a special focus on addressing key questions on collaboration and interdisciplinary collaboration between different organizational units within a university. Contact Uwe Obermeier < This e-mail address is being protected from spambots. You need JavaScript enabled to view it >
The project on Comparing Climate Change Policy Networks (COMPON) is examining the causes of this inertia by studying the factors that account for cross-national variation in efforts to mitigate climate change. This variation arises from difference in the interaction process between ways of thinking (discourse) and ways of acting (coalitions) in national cases. The data is collected at the level of the organizational field from the full range of domestic and international organizations affecting the national CC policy making or social influence processes. Network data permits a more fine-grained and systematic testing of hypotheses about the social factors that affect the national CC response and decision-making processes. More information on the COMPON project can be found at www.compon.org The COMPON project currently has teams in over 15 societies (developed, developing, and transitional) and at the international level collecting equivalent empirical data on these processes using content analysis, interview, and inter-organizational network survey. The Irish study for COMPON was begun in November 2010 and is led by the Dr Diane Payne. Contact Diane Payne This e-mail address is being protected from spambots. You need JavaScript enabled to view it
This research comprises a collection of various case studies of collective decision making in policy networks. The studies focus on collective decision making at local, national and international levels of public policy and insights into the various collective decision processes are provided by the development and/or application of computer simulation modelling techniques. This research primarily involves various types of collaboration with colleagues at the ICS, University of Groningen and the ICS, University of Utrecht. Contact Diane Payne This e-mail address is being protected from spambots. You need JavaScript enabled to view it
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