Abstract
Open and decentralized technologies such as the Internet provide increasing opportunities to create knowledge and deliver computer-based decision support for multiple types of users across scales. However, environmental decision support systems/tools (henceforth EDSS) are often strongly science-driven and assuming single types of decision makers, and hence poorly suited for more decentralized and polycentric decision making contexts. In such contexts, EDSS need to be tailored to meet diverse user requirements to ensure that it provides useful (relevant), usable (intuitive), and exchangeable (institutionally unobstructed) information for decision support for different types of actors. To address these issues, we present a participatory framework for designing EDSS that emphasizes a more complete understanding of the decision making structures and iterative design of the user interface. We illustrate the application of the framework through a case study within the context of water-stressed upstream/downstream communities in Lima, Peru.
Highlights
In human discourse systems information is the meaning of statements as they are intended by the speaker/writer and understood/ misunderstood by the listener/reader
The method has been well tested in commercial products e.g. groceries shopping websites, banking facilities, design of TV apps, tablet operating systems, and smart mobile phones, we identify a broader potential for its application in defining and crystallising in an iterative, participatory way, the elements that constitute useful, usable, and exchangeable information for decision support for different types of actors within a polycentric governance arrangement
In this paper we describe our new user-driven approach, which departs from standard software application design models such as Waterfall (Royce, 1987) and Agile (Martin, 2003) in the diversity of users, sources of environmental information and knowledge, decision-making analysis, and forms of environmental decision support systems (EDSS) tools considered
Summary
Consortium's, Sensor Model Language, Sensor Web Enablement and Sensor Observation Service (Vitolo et al, 2015) It has promoted non-conventional data generation activities, such as crowdsourcing, social networks, online surveys, unofficial data repositories, and citizen-science monitoring (Buytaert et al, 2014; Georgiadou et al, 2011). We define EDSS as computer-aided environmental information systems that support unstructured and semi-structured decisionmaking in environmental management contexts (McIntosh et al, 2011) The anatomy of these decision support systems typically contains three components: (1) databases, (2) analytical processing algorithms (e.g. environmental models), and (3) a user interface. The latter allows users (i.e. the decision makers) to interact with the information but typically hides the technological complexities
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