@misc{EnsafdaranKraheNjadetal.2019,
  author    = {Ensafdaran, Faride and Krah{\´e}, Barbara and Njad, Soodabe Bassak and Arshadi, Nasrin},
  title     = {Efficacy of different versions of Aggression Replacement Training (ART)},
  series = {Aggression and violent behavior : a review journal},
  volume    = {47},
  journal   = {Aggression and violent behavior : a review journal},
  publisher = {Elsevier Science},
  address   = {Amsterdam},
  issn      = {1359-1789},
  doi       = {10.1016/j.avb.2019.02.006},
  pages     = {230 -- 237},
  year      = {2019},
  abstract  = {Aggression Replacement Training (ART) is a multimodal intervention for chronically aggressive youth. The program has been frequently administered in a variety of samples in the original form or in modified versions. This review examines evaluations of the efficacy of ART on aggressive behavior and secondary outcomes in children and youth, including modifications of ART and evaluations of the original version not covered by earlier reviews. Method: Scholarly databases were searched to identify 10 articles reporting 11 independent studies evaluating the efficacy ART in reducing aggressive behavior and improving anger control, social skills, and moral reasoning in children and youth. Results: The majority of studies found positive effects of ART on aggression and other outcomes related to anger control, social skills, and moral reasoning. However, most studies were based on small samples, and few included a control group to evaluate intervention success. Conclusions: The studies reviewed in this paper tentatively suggest that ART is an efficacious intervention to reduce aggressive behavior and improve anger control, social skills, and moral reasoning in at-risk children and youth. However, this conclusion is qualified by a number of methodological limitations that highlight the need for further, more rigorous evaluation studies.},
  language  = {en}
}
@article{EgliWeiseRadchuketal.2019,
  author    = {Egli, Lukas and Weise, Hanna and Radchuk, Viktoriia and Seppelt, Ralf and Grimm, Volker},
  title     = {Exploring resilience with agent-based models: State of the art, knowledge gaps and recommendations for coping with multidimensionality},
  series = {Ecological complexity},
  volume    = {40},
  journal   = {Ecological complexity},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1476-945X},
  doi       = {10.1016/j.ecocom.2018.06.008},
  pages     = {7},
  year      = {2019},
  abstract  = {Anthropogenic pressures increasingly alter natural systems. Therefore, understanding the resilience of agent-based complex systems such as ecosystems, i.e. their ability to absorb these pressures and sustain their functioning and services, is a major challenge. However, the mechanisms underlying resilience are still poorly understood. A main reason for this is the multidimensionality of both resilience, embracing the three fundamental stability properties recovery, resistance and persistence, and of the specific situations for which stability properties can be assessed. Agent-based models (ABM) complement empirical research which is, for logistic reasons, limited in coping with these multiple dimensions. Besides their ability to integrate multidimensionality through extensive manipulation in a fully controlled system, ABMs can capture the emergence of system resilience from individual interactions and feedbacks across different levels of organization. To assess the extent to which this potential of ABMs has already been exploited, we reviewed the state of the art in exploring resilience and its multidimensionality in ecological and socio-ecological systems with ABMs. We found that the potential of ABMs is not utilized in most models, as they typically focus on a single dimension of resilience by using variability as a proxy for persistence, and are limited to one reference state, disturbance type and scale. Moreover, only few studies explicitly test the ability of different mechanisms to support resilience. To overcome these limitations, we recommend to simultaneously assess multiple stability properties for different situations and under consideration of the mechanisms that are hypothesised to render a system resilient. This will help us to better exploit the potential of ABMs to understand and quantify resilience mechanisms, and hence support solving real-world problems related to the resilience of agent-based complex systems.},
  language  = {en}
}