Philippe J. Giabbanelli
Furman University
Machine learningData miningSocial influenceConsumption (economics)Mathematics educationDiscrete event simulationArtificial intelligencePsychologyCognitive psychologyStructure (mathematical logic)GeographyData sciencePsychological interventionSoftwareContext (language use)Participatory modelingPopulationHuman immunodeficiency virus (HIV)Complex networkCellular automatonComputer scienceProcess (engineering)Fuzzy cognitive mapManagement scienceKnowledge managementVisual analyticsMedicineDecision treeEnvironmental health
79Publications
16H-index
887Citations
Publications 76
Newest
Discrete models such as cellular automata may be ported from one platform or language onto another to improve performances, for instance by rewriting legacy Matlab code into C++ or adding optimizations into a Python implementation. Although such transformations can offer benefits such as scalability or maintainability, they also have the risk of introducing bugs. While standard verification techniques can always be applied, this situation presents a unique opportunity since the two implementatio...
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The system that shapes a problem can be represented using a map, in which relevant constructs are listed as nodes, and salient interrelationships are provided as directed edges which track the direction of causation. Such representations are particularly useful to address complex problems which are multi-factorial and may involve structures such as loops, in contrast with simple problems which may have a clear root cause and a short chain of causes-and-effects. Although students are often evalua...
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#1Ethan O. Grantham (Furman University)H-Index: 2
#2Philippe J. Giabbanelli (Furman University)H-Index: 16
Simple Agent-Based Models (ABMs) of social influence assume that agents can perfectly discriminate between the actions of their peers or implicitly agree on a population-wide definition of states such as ‘healthy’ or ‘unhealthy’. In reality, mistakes are a part of being human and incorrectly estimating the state of a peer is no exception. For instance, experimental studies show that whether we find a food ‘healthy’ also depends on the body size of those who eat it. In this paper, we introduce no...
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#1Steven GrayH-Index: 27
#2Eleanor J. SterlingH-Index: 30
Last. Patricia NorrisH-Index: 1
view all 12 authors...
Systems thinking (ST) skills are often the foundation of sustainability science curricula. Though ST skill sets are used as a basic approach to reasoning about complex environmental problems, there are gaps in our understanding regarding the best ways to promote and assess ST learning in classrooms. Since ST learning provides Science, Technology, Engineering, and Mathematics (STEM) students’ important skills and awareness to participate in environmental problem-solving, addressing these gaps is ...
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Jul 26, 2019 in INTERACT (International Conference on Human-Computer Interaction)
#1Thrishma Reddy (Lakehead University)H-Index: 1
#2Philippe J. Giabbanelli (Furman University)H-Index: 16
Last. Vijay Mago (Lakehead University)H-Index: 12
view all 3 authors...
Complex problems often require coordinated actions from stakeholders. Agreeing on a course of action can be challenging as stakeholders have different views or ‘mental models’ of how a problem is shaped by many interacting causes. Participatory modeling allows to externalize mental models in forms such as causal maps. Participants can be guided by a trained facilitator (with limitations of costs and availability) or use a free software (with limited guidance). Neither solution easily copes with ...
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Jul 26, 2019 in INTERACT (International Conference on Human-Computer Interaction)
#1Mannila Sandhu (Lakehead University)H-Index: 2
#2Philippe J. Giabbanelli (Furman University)H-Index: 16
Last. Vijay Mago (Lakehead University)H-Index: 12
view all 3 authors...
Models are predominantly developed using either quantitative data (e.g., for structured equation models) or qualitative data obtained through questionnaires designed by researchers (e.g., for fuzzy cognitive maps). The wide availability of social media data and advances in natural language processing raise the possibility of developing models from qualitative data naturally produced by users. This is of particular interest for public health surveillance and policymaking, as social media provide ...
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#1Nicole D. Katapodis (UGA: University of Georgia)H-Index: 2
#2Donglan Zhang (UGA: University of Georgia)H-Index: 17
Last. Janani Rajbhandari-Thapa (UGA: University of Georgia)H-Index: 3
view all 6 authors...
Abstract Purpose: Most residents in rural regions of the United States consume fewer amounts of fruits and vegetables (FVs) compared with their urban counterparts. Difficulties in access to FVs oft...
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#1Philippe J. Giabbanelli (Furman University)H-Index: 16
#2Alexey Voinov (UTS: University of Technology, Sydney)H-Index: 46
Last. Petter Törnberg (UvA: University of Amsterdam)H-Index: 9
view all 4 authors...
Artificial societies used to guide and evaluate policies should be built by following “best practices”. However, this goal may be challenged by the complexity of artificial societies and the interdependence of their sub-systems (e.g., built environment, social norms). We created a list of seven practices based on simulation methods, specific aspects of quantitative individual models, and data-driven modeling. By evaluating published models for public health with respect to these ideal practices,...
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#1Philippe J. Giabbanelli (NIU: Northern Illinois University)H-Index: 16
#2Andrew A. Tawfik (U of M: University of Memphis)H-Index: 11
Because of the lack of tools available to assess problem-solving skills, teachers often revert to more traditional instructional approaches (e.g. lecture-based, memorization) that fail to prepare learners for the complexity of dynamic work environments. To overcome this challenge, technology solutions are needed that accurately and efficiently assess complex problem-solving skills such as causal reasoning. Moreover, these tools must be valid and reliable so instructors can accurately assess stud...
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