Integrating knowledge accross disciplines. Experiences from the NeWater project

The starting question for this deliverable was how to create a new adaptive management concept that can integrate insights from various disciplines and connect people from different institutional backgrounds. From literature research and empirical research on the NeWater project we identified challenges for cross-disciplinary knowledge integration, we evaluated interventions for connecting multiple knowledge frames, we analyzed the process of group model building with UML and formulated recommendations. Cross-disciplinary research has arisen from a growing number of complex problems for which knowledge of a single scientific discipline or societal field is insufficient, but presents important challenges: (1) collaboration and integration of knowledge requires in depth discussions that are timeconsuming; (2) the recursive process of problem structuring and restructuring is often at odds with the sequential planning of project activities; (3) participation and mutual learning are crucial but need to be carefully structured and sequenced; and (4) management and leadership faces the difficult challenge of balancing in depth exploration with timely delivery of tangible results. We conclude with the following general recommendations for large cross-disciplinary projects: (1) including a preparatory proposal phase for thorough exploration of opportunities of between researchers and stakeholders (2) flexible funding, planning and operational arrangements to allow for a recursive research process; (3) a project size that allows frequent interaction opportunities between researchers and between researchers and stakeholders to allow for mutual learning and in depth exploration; and (4) enhancing learning opportunities from one project to the next

Participatory design and participatory development: a comparative review

This paper examines literature in the twin domains of participatory interactive systems design and participatory approaches to international development. As interactive systems are increasingly promoted as a possible means of achieving international development goals, designers generally agree that participatory design approaches should be applied. However, review of the literature reveals that these two different traditions have more complex relationships, and questions must be asked about: the aims of participation, the forms of participation that are being advocated, and the skills and strategies required of practitioners. The findings suggest that successful integration of participatory interactive systems design into development will require careful reflection on the nature of development and the approaches adopted.</p

Making Exhibitions, Brokering Meaning: Designing new connections across communities of practice

New media museum exhibits often see designers representing the research of expert content providers. Despite perceptions that such exhibits provide museum visitors with a greater depth and range of experience, differences in knowledge and practice between designers and content providers can see content development become an unruly, competitive process in which audience experience, digital mediation, visualisation techniques and meaning become contested territory. Drawing on Etienne Wenger’s theory of “communities of practice”, this paper argues that designers’ advocacy for audiences and distance from exhibition content well positions them to broker interdisciplinary goal setting so that exhibitions observe the representational objectives of content providers and meet the needs and preferences of museum visitors. A wide range of design literature already discusses the pragmatic benefits and ethical importance of user-centered design, while the literature on co-design suggests that designed outcomes are more successful if the design process considers the interests of all stakeholders. These discussions can be compelling, but the inherent challenges in engaging others’ perspectives and knowledge in the design process are less acknowledged, Wenger’s ideas on the social dynamics of group enterprise offering designers valuable insights into the actuality of negotiating designed outcomes with non-designer stakeholders. The paper has two main aspects. The first outlines the theory of communities of practice, focusing on the brokering of knowledge and practice between disciplines. This discussion frames an analysis of the design process for two museum exhibitions. Representing an original application of Wenger’s ideas, the discussion recognises the unique role of the designed artifact in brokering information visualization processes, transcending the actions and intentions of individual stakeholders. While accepting there are successful examples of interdisciplinary exchange in various areas of design, the interpretation of examples via Wenger contributes useful principles to the theorisation of co-design with non-designer stakeholders. Keywords: Information visualization; New media museum exhibits; Multidisciplinary projects; Communities of Practice; Brokering; User-centered design; Co-Design; Etienne Wenger</p

Dynamic Influence Networks for Rule-based Models

We introduce the Dynamic Influence Network (DIN), a novel visual analytics technique for representing and analyzing rule-based models of protein-protein interaction networks. Rule-based modeling has proved instrumental in developing biological models that are concise, comprehensible, easily extensible, and that mitigate the combinatorial complexity of multi-state and multi-component biological molecules. Our technique visualizes the dynamics of these rules as they evolve over time. Using the data produced by KaSim, an open source stochastic simulator of rule-based models written in the Kappa language, DINs provide a node-link diagram that represents the influence that each rule has on the other rules. That is, rather than representing individual biological components or types, we instead represent the rules about them (as nodes) and the current influence of these rules (as links). Using our interactive DIN-Viz software tool, researchers are able to query this dynamic network to find meaningful patterns about biological processes, and to identify salient aspects of complex rule-based models. To evaluate the effectiveness of our approach, we investigate a simulation of a circadian clock model that illustrates the oscillatory behavior of the KaiC protein phosphorylation cycle.Comment: Accepted to TVCG, in pres

Interactive polar diagrams for model comparison

Objective Evaluating the performance of multiple complex models, such as those found in biology, medicine, climatology, and machine learning, using conventional approaches is often challenging when using various evaluation metrics simultaneously. The traditional approach, which relies on presenting multi-model evaluation scores in the table, presents an obstacle when determining the similarities between the models and the order of performance. Methods By combining statistics, information theory, and data visualization, juxtaposed Taylor and Mutual Information Diagrams permit users to track and summarize the performance of one model or a collection of different models. To uncover linear and nonlinear relationships between models, users may visualize one or both charts. Results Our library presents the first publicly available implementation of the Mutual Information Diagram and its new interactive capabilities, as well as the first publicly available implementation of an interactive Taylor Diagram. Extensions have been implemented so that both diagrams can display temporality, multimodality, and multivariate data sets, and feature one scalar model property such as uncertainty. Our library, named polar-diagrams, supports both continuous and categorical attributes. Conclusion The library can be used to quickly and easily assess the performances of complex models, such as those found in machine learning, climate, or biomedical domains

Participatory Modelling and Decision Support for Natural Resources Management in Climate Change Research

The ever greater role given to public participation by laws and regulations, in particular in the field of environmental management calls for new operational methods and tools for managers and practitioners. This paper analyses the potentials and the critical limitations of current approaches in the fields of simulation modelling (SM), public participation (PP) and decision analysis (DA), for natural resources management within the context of climate change research. The potential synergies of combining SM, PP and DA into an integrated methodological framework are identified and a methodological proposal is presented, called NetSyMoD (Network Analysis – Creative System Modelling – Decision Support), which aims at facilitating the involvement of stakeholders or experts in policy - or decision-making processes (P/DMP). A generic P/DMP is formalised in NetSyMoD as a sequence of six main phases: (i) Actors analysis; (ii) Problem analysis; (iii) Creative System Modelling; (iv) DSS design; (v) Analysis of Options; and (vi) Action taking and monitoring. Several variants of the NetSyMoD approach have been adapted to different contexts such as integrated water resources management and coastal management, and, recently it has been applied in climate change research projects. Experience has shown that NetSyMoD may be a useful framework for skilled professionals, for guiding the P/DMP, and providing practical solutions to problems encountered in the different phases of the decision/policy making process, in particular when future scenarios or projections have to be considered, such as in the case of developing and selecting adaptation policies. The various applications of NetSyMoD share the same approach for problem analysis and communication within the group of selected actors, based upon the use of creative thinking techniques, the formalisation of human-environment relationships through the DPSIR framework, and the use of multi-criteria analysis through a Decision Support System (DSS) software.Modelling, Public Participation, Natural Resource Management, Policy, Decision-Making, Governance, DSS