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Brief Introduction to Computer Aided Negotiations. Megan Wiley Rivera Fall 2008 UMBC GES 400H. We haven’t even agreed on “CADRe”. Note: name changed to Collaborative Modeling for Decision Support in 2010.
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Brief Introduction to Computer Aided Negotiations Megan Wiley Rivera Fall 2008 UMBC GES 400H
We haven’t even agreed on “CADRe” Note: name changed to Collaborative Modeling for Decision Support in 2010 From Werick, W. What I do, how I do it and why. Computer Aided Dispute Resolution: Proceedings from the CADRe Workshop. 2007
The practice is not new, the field is • Computer models have been used in water disputes since the early 1980s • We are now defining terms to come together, share ideas, and strengthen our presence in field of water resources • What makes CADRe, CADRe? See Stephenson, K. and Shabman, L. Overview of Computer Aided Dispute Resolution: Approach and Evaluation. Computer Aided Dispute Resolution: Proceedings from the CADRe Workshop. 2007
When does a process count as CADRe? From Sheer, D.P. A Process for CADRe and Requirements for Tools to Support CADRe. Computer Aided Dispute Resolution: Proceedings from the CADRe Workshop. 2007
Potomac was one of the first From Palmer, R.N. Shared Vision Planning: A Personal Perspective. Computer Aided Dispute Resolution: Proceedings from the CADRe Workshop. 2007
An aside: more is not always the answer • A LOT can be done with management • It is very difficult and expensive to build large reservoirs now • More storage means more to fill • Groundwater often limited • For this class, more is not an option (we are not adding additional storage to system)
ACT-ACF Basin Boston Metro Study Cedar and Green Rivers Gila River James River Kanawha River Lake Onterio-St Lawrence River Rappahannock River Snake Plan Aquifer Pacific Northwest Climate Change Lake Powell/Lake Mead Los Angeles Marais des Cygnes – Osage Middle Rio Grande Mississippi Headwaters Potomac River Northern CA Susquehanna River Upper Rio Grande River Willamette River Some examples of SVP
Computer Aided Negotiations • Develop performance measures • Reach consensus on • the scientific data to be used in evaluating alternatives • scientific methods and assumptions to be used • the nature of alternatives to consider and how to structure the evaluations • Create and evaluate alternatives in a collaborative setting with other stakeholders