Advanced computer models are commonly used to simulate reservoir system's performance. If the number of possible management scenarios is large, it can be extremely difficult to follow related system's operation and get a valuable picture on its spatial and temporal behavior. The decision maker or analyst can be overburdened by quantity and complexity of information generated by model, particularly if system operation is repeatedly simulated for multiyear periods. Related problem is how to select the scenario with most desired long-term consequences. Possible approach is to use selected parts of model's output and re-interpret system behavior by means of certain performance indicators, create appropriate decision matrix and perform multi-criteria analysis to rank decision alternatives (scenarios). The paper proposes a methodology that includes:(1) multiyear simulations of system operation; (2) computing spatially and temporally distributed system performance indices such as supply reliability, resiliency and vulnerability; (3) unbiased entropy-based weighting the importance of performance indices; and (4) final ranking of scenarios by means of multi-criteria analysis. The number of scenarios and number of performance indices is not restricted, and to account for possibly large sets of scenarios, an ideal-point-distance multicriteria method TOPSIS is suggested. Proposed methodology appeared to be confident and robust in proof-of-concept application in Brazil.
We take up Bødker's [9] challenge to 'identify' a fourth wave HCI, building on the work of Blevis et al. [8] and others to shore up a new vision that places 'politics and values and ethics' at the forefront without abandoning the strengths of previous waves. We insist that a fourth wave must push harder, beyond measured criticism for actual (e.g. institutional) change. We present two studies performed at CHI'19, where we used our MANIFESTO! game to: 1) take the temperature of colleagues on adopting an activist stance, 2) test manifesto writing as a key activity in pushing HCI forward into the fourth wave, and 3) test our game for subsequent iterations, and as a probe for inspiring new digital tools. With the enthusiastic response received to gameplay, facilitated in part through a novel method using tableau vivant, we argue for taking political activism from the margins into mainstream HCI.
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