
doi: 10.1007/bf00139298
Integrated assessment of global environmental change is a relatively new field that is beginning to define itself and its forms of practice. As yet, the field has not grappled directly with issues of quality control and assessment of quality, and this work is a first attempt in that direction. We argue that if integrated assessment is to be successful in the long run, then building and maintaining credibility via quality control procedures is a necessary condition for realizing its potential. We highlight a number of pitfalls in the practice of integrated assessment, and discuss their causes. We buttress our concerns using examples from both within climate change integrated assessment, and from the history of other similar endeavors. We also provide a number of suggestions that we hope will serve to alleviate some of these pitfalls. For instance, tools, methods, and assumptions from disciplines form archetypes for components in integrated assessment models, and we need to apply greater scrutiny to these archetypes. Further, tools which may be reasonable to use in particular disciplinary, geographical, or temporal contexts may be unsuited to the broader contexts inherent in integrated assessment studies of global environmental change.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 88 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
