I have been working recently
on a project to assess the “adequacy” of data to inform water quality
management and decision making. Is this an appropriate task for a scientist? That
is, should a scientist assess the adequacy of data/information to make water
quality management decisions? Should a scientist recommend water quality
standards? My answer to both questions is no, these are not appropriate tasks for
scientists. What does my answer imply
about the role
of scientists in water quality management and decision
making?
Scientists have an important responsibility in the interpretation of science to inform environmental management and policy
development. For example, as a scientist, I know the strengths and weaknesses in scientific knowledge in my area of study, and thus I can readily identify gaps in that knowledge. Therefore I and my scientific colleagues should be consulted in an evaluation of general scientific research
needs in our areas of expertise. That point seems obvious.
But, I am also a private citizen with personal beliefs,
values, and preferences. How do I express those? Should those personal preferences affect my scientific input in support of management and
policy? While it has been my experience that people often expect
scientists to provide policy recommendations, I think that, upon reflection, most people
would prefer a scientific assessment untainted by personal values. In effect, people would prefer a scientific expert to assess the impact of various courses
of action, but not to recommend a
course of action. In principle, assessment involves
scientific expertise but not personal values or
preferences. For example,
assessments may be summarized by statements such as "if you do A, then my scientific analysis indicates that X is expected
to happen" or "if you do B, then my scientific analysis indicates that Y is expected to happen," and so on.
If, however, I were to say "I recommend that you do C," then
behind that recommendation, besides
science, is my preference for the tradeoffs implicit
in recommended action C. What are these tradeoffs? They involve all things affected by the decision, such as: Who pays? How much? What water quality
conditions are achieved? As a scientist, I do not have the right to make decisions on those tradeoffs; that right is granted
to elected or appointed public officials in most cases. I may have an opinion on the tradeoffs, but as a scientist/citizen,
I express those opinions in others
ways, such as in the voting booth.
Consider a specific example.
At the local
and regional level, many scientists volunteer their services on community
environmental affairs boards. I have done this in the past in Durham, NC. If, as
a member of the Durham Environmental
Affairs Board (EAB), I am asked to assist the Durham County Commissioners with their decision concerning
allowable land use to protect a water supply
reservoir, how should my scientific assessment be expressed? Remember, as a member
of the Durham EAB, I am serving as a technical expert.
In my role as a technical expert,
I am in a good position to use analysis
and scientific assessment to make "if-then" statements. Examples of this are: "If Durham adopts land use strategy A, then based on my modeling and scientific
analysis, X is predicted to happen to water quality" and "If Durham adopts strategy B, then Y
is
predicted to happen" and so on. The elected County
Commissioners then take the scientific assessment from the EAB, along with
technical assessments concerning other relevant attributes, and decide. Decisions by the County Commissioners should
reflect community values, tradeoffs, and preferences. If they
do not, then the voters
have the opportunity to express their dissatisfaction with the Commissioners in the next election.
In summary, the community
preferences and values are expressed in the decision by the Commissioners. Scientists provide
technical assessments that may require interpretation and explanation. However, the scientific input should not be
expressed as a management recommendation, and thus take decision making
authority from those who have decision making responsibility.
What does this discussion mean, or imply, about standard
setting (e.g., establishing nutrient standards)? Very simply, standard
setting is decision making; it should be based on the same principles as
outlined above. Thus, if scientists
recommend specific water quality water quality standards, then they are making decisions,
and in doing so they are expressing
their values and preferences. Here, too, the proper role of the scientist is one
of assessment, not recommendation and not decision
making. For phosphorus water quality standards, scientific assessment might be expressed as "if the growing season total phosphorus standard is set at 0.040mg/l, then algal bloom conditions are predicted for 10 percent of the waterbodies in the
state and recreational conditions are expected
to be ...; if instead it is set at 0.030mg/l, then ..." Similarly, an economic assessment might be provided
to indicate the
expected costs to achieve the standard. All important assessments like these are then provided to the appropriate decision maker(s) who must employ citizen values, preferences,
and regulatory mandates to make the necessary tradeoffs and establish the standard.
With respect to my
current project on the “adequacy” of water quality data to support decision
making, stating that data are “adequate” for decision making is a value judgment
that should not be made by scientists. In this situation, the scientist should
assess the uncertainty in the data in terms that are understandable to
stakeholders and decision makers. This allows decision makers to determine when
data are adequate for their needs.
As scientists, we may truly believe
that we know
the best actions for water quality management. But, are all scientists going to be as enlightened as we are? Further, we may encounter decision makers who want us to recommend
an action, and in effect make the decision
for them. In those situations, will all scientists have the personal
integrity that we have? We should resist these tempting
opportunities, and instead
work toward better-informed decision makers and citizens. In the long run, democracy
and government accountability will benefit and good decisions
will follow.
Do you think it is relevant that scientists work on predicting and ranking the most efficient or cost-effective set of management actions for a given objective?
ReplyDeleteGood question. I think that this is fine, if decision makers have set the ranking criteria (based on their values). Methods such as MAUT (multiattribute utility techniques) and AHP (analytic hierarchy process) are designed to essentially remove the decision maker from the decision process, once ranking criteria or a utility function is provided to the analyst by a decision maker. In most cases, I'm not in favor of "replacing the decision maker" with one of these methods, as I'm concerned that values/preferences are not adequately expressed using these methods, However, if decision makers prefers this, it is clearly their choice. This is more easily applied with a single decision maker; it can be quite difficult if there are multiple decision makers.
DeleteAssociated with MAUT is the development of an objectives hierarchy (see Ralph Keeney's "Value Focused Thinking" book). I have worked with decision makers to develop an objectives hierarchy, and I find this very helpful in assisting a decision maker to think hard about objectives and values.