Partnership Actions for Mitigating Syndromes (PAMS): Experience with a transdisciplinary tool in the NCCR North-South programme

Partnership Actions for Mitigating Syndromes (PAMS) are small transdisciplinary projects which bring scientific research insights from the NCCR North-South into policy and practice. They are implemented by researchers from different disciplines in collaboration with non-scientific actors. PAMS aim to implement and test approaches, methods and tools developed in research, in order to identify promising strategies and potentials for sustainable development. In this sense, they are solution-oriented. This paper will provide insights into our experience with PAMS, with a special focus on the implementation of transdisciplinarity and its outcomes. From 2001 to 2010, 77 PAMS were implemented in Africa, Asia and Latin America. An internal evaluation of the first 55 projects was conducted in 2006. Results of this evaluation led to a refinement and improvement of the tool. A second internal evaluation is currently underway in the NCCR North-South. This evaluation will provide an overview of 22 new PAMS. We will look at partners involved, project beneficiaries, activities implemented, outcomes achieved, and lessons learnt. In the first evaluation, transdisciplinarity was considered as “a form of collaboration within scientific fields … and as a form of continuous dialogue between research and society” (Messerli et al., 2007). The evaluation report concluded that this understanding of transdisciplinarity was not satisfactorily applied in the 55 projects. Only about half of the PAMS addressed mutual exchange between researchers and society. Some involved only one specific field of research and clearly lacked interdisciplinary co-operation, and most often knowledge was transferred mainly unilaterally from the scientific community to society, without society having any effect on science. It was therefore recommended to address transdisciplinarity more carefully in Phase 2 PAMS. The second evaluation, which is currently under way, is analysing whether and how this recommendation has been met, based on criteria defined in the NCCR North-South’s Outcome Monitoring Strategy. The analysis is focusing on partners with whom researchers interact and investigating whether practices have changed both in research and society. We are also exploring the role of researchers in PAMS. Preliminary results show that researchers can assume different roles, from direct implementation, mediation, and promotion of social learning between different actors, to giving advice as neutral outsiders.

The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration

Background: Statistical shape models are widely used in biomedical research. They are routinely implemented for automatic image segmentation or object identification in medical images. In these fields, however, the acquisition of the large training datasets, required to develop these models, is usually a time-consuming process. Even after this effort, the collections of datasets are often lost or mishandled resulting in replication of work. Objective: To solve these problems, the Virtual Skeleton Database (VSD) is proposed as a centralized storage system where the data necessary to build statistical shape models can be stored and shared. Methods: The VSD provides an online repository system tailored to the needs of the medical research community. The processing of the most common image file types, a statistical shape model framework, and an ontology-based search provide the generic tools to store, exchange, and retrieve digital medical datasets. The hosted data are accessible to the community, and collaborative research catalyzes their productivity. Results: To illustrate the need for an online repository for medical research, three exemplary projects of the VSD are presented: (1) an international collaboration to achieve improvement in cochlear surgery and implant optimization, (2) a population-based analysis of femoral fracture risk between genders, and (3) an online application developed for the evaluation and comparison of the segmentation of brain tumors. Conclusions: The VSD is a novel system for scientific collaboration for the medical image community with a data-centric concept and semantically driven search option for anatomical structures. The repository has been proven to be a useful tool for collaborative model building, as a resource for biomechanical population studies, or to enhance segmentation algorithms.

Research partnerships: the benefits of North-South collaboration

Partnerships between Northern and Southern researchers are a powerful tool for studying problems of global change and for shaping development policies. North–South partnerships enable teams of researchers to focus on specific problems and to strengthen research capacities in developing countries. They also enable Southern researchers to contribute to their home countries as part of an international network. This issue of evidence for policy draws on recent publications from the NCCR North-South to illustrate how partnership benefits science and sustainable development.

Effect of standardized training on the reliability of the Cochrane risk of bias assessment tool: a study protocol

BACKGROUND The Cochrane risk of bias (RoB) tool has been widely embraced by the systematic review community, but several studies have reported that its reliability is low. We aim to investigate whether training of raters, including objective and standardized instructions on how to assess risk of bias, can improve the reliability of this tool. We describe the methods that will be used in this investigation and present an intensive standardized training package for risk of bias assessment that could be used by contributors to the Cochrane Collaboration and other reviewers. METHODS/DESIGN This is a pilot study. We will first perform a systematic literature review to identify randomized clinical trials (RCTs) that will be used for risk of bias assessment. Using the identified RCTs, we will then do a randomized experiment, where raters will be allocated to two different training schemes: minimal training and intensive standardized training. We will calculate the chance-corrected weighted Kappa with 95% confidence intervals to quantify within- and between-group Kappa agreement for each of the domains of the risk of bias tool. To calculate between-group Kappa agreement, we will use risk of bias assessments from pairs of raters after resolution of disagreements. Between-group Kappa agreement will quantify the agreement between the risk of bias assessment of raters in the training groups and the risk of bias assessment of experienced raters. To compare agreement of raters under different training conditions, we will calculate differences between Kappa values with 95% confidence intervals. DISCUSSION This study will investigate whether the reliability of the risk of bias tool can be improved by training raters using standardized instructions for risk of bias assessment. One group of inexperienced raters will receive intensive training on risk of bias assessment and the other will receive minimal training. By including a control group with minimal training, we will attempt to mimic what many review authors commonly have to do, that is-conduct risk of bias assessment in RCTs without much formal training or standardized instructions. If our results indicate that an intense standardized training does improve the reliability of the RoB tool, our study is likely to help improve the quality of risk of bias assessments, which is a central component of evidence synthesis.

A Dynamical Tool to Study the Cultural Context of Conflict Escalation

The present article describes research in progress which is developing a simple, replicable methodology aimed at identifying the regularities and specificity of human behavior in conflict escalation and de-escalation prooesses. These research efforts will ultimately be used to study conflict dynamics across cultures. The experimental data collected through this methodology, together with case studies and aggregated, time-series macro data are key for identifying relevant parameters, systems' properties, and micromechanisms defining the behavior of naturally occurring conflict escalation and de-escalation dynamics. This, in turn, is critical for the development of realistic, empirically supported computational models. The article outlines the theoretical assumptions of Dynamical Systems Theory with regard to conflict dynamics, with an emphasis on the process of conflict escalation and de-escalation. Next, work on a methodology for empirical study of escalation processes from a DST perspective is outlined. Specifically, the development of a progressive scenario methodology designed to map escalation sequences, together with anexample of a preliminary study based on the proposed researcb paradigm, is presented. Implications of the approach for the study of culture are discussed.