Molecular Cellthe goal differently: ‘‘A lab is a nurturing
environment that aims to maximize the
potential of students as scientists and as
human beings.’’
Choices such as these are crucial. From
values—even if they are not consciously
stated—flow all of the decisions made in
the lab, big and small: how the lab looks,
when students can take a vacation, and
(as we will now discuss) what problems
to choose. Within the nurturing lab, we
aim to choose a problem for our students
(and for ourselves) in order to foster
growth and self-motivated research.
The Two Dimensions of Problem
problem choice using our diagram.
Looking at the range of problems in this
two-dimensional space, one sees that
many projects in current research are of
the easy-but-not-too-interesting variety,
also known as ‘‘low-hanging fruit.’’ Many
other projects in science today are
unfortunately both difficult and have low
interest, partially stemming from a view
that hard equals good. A few problems
are grand challenges: tough problems
with the potential to considerably
advance understanding. But most often
we would like problems in the top-right
quadrant, both feasible and with high
interest, likely to extend our knowledge
into many good, smaller projects. Thus,
the optimal problems move along the
Pareto front as a function of the life stages
of the scientist.
Take Your Time
A common mistake made in choosing
problems is taking the first problem that
comes to mind. Since a typical project
takes years even it if seems doable in
months, rapid choice leads to much
frustration and bitterness in our profes-
sion. It takes time to find a good problem,
and every week spent in choosing one
can save months or years later on.
In my lab, we have a rule for newHow To Choose a
Uri Alon
1,
*
1
Department Molecular Cell Biology, Weizma
*Correspondence: urialon@weizmann.ac.il
DOI 10.1016/j.molcel.2009.09.013
Choosing good problems is essenti
choose one? The subject is not usu
be smart enough to figure it out on
explicit discussion leaves a vacuum
results that merit publication in valu
The premise of this essay is that a fuller
discussion of our topic, including its
subjective and emotional aspects, can
enrich our science, and our well-being. A
good choice means that you can compe-
tently discover new knowledge that you
find fascinating and that allows self-
expression.
We will discuss simple principles of
choosing scientific problems that have
helped me, my students, and many fellow
scientists. These principles might form
a basis for teaching this subject generally
to scientists.
Starting Point: Choosing a Problem
Is an Act of Nurturing
What is the goal of starting a lab? It is
sometimes easy to pick up a default
value, common in current culture, such
as ‘‘The goal of my lab is to publish the
maximum number of papers of the high-
est quality.’’
However, in this essay, we will frameChoice
To choose a scientific problem, let us
begin with a simple graph, as a starting
726 Molecular Cell 35, September 25, 2009Good Scientific Pr
nn Institute of Science, Rehovot 76100, Israel
al for being a good scientist. But what
ally discussed explicitly within our pro
their own and through the observa
that can lead to approaches such a
ed journals, resulting in a job and ten
point for discussion (Figure 1). We will
compare problems by imagining two
axes. The first is feasibility—that is,
whether a problem is hard or easy, in units
such as the expected time to complete
the project. This axis is a function of
the skills of the researchers and of the
technology in the lab. It is important to
remember that problems that are easy
on paper are often hard in reality, and
that problems that are hard on paper are
nearly impossible in reality.
The second axis is interest: the increase
in knowledge expected from the project.
We generally value science that ventures
deep into unknown waters. Problems
can be ranked in terms of the distance
from the known shores, by the amount
in which they increase verifiable knowl-
edge. We will call this the interest of the
problem.
In a forthcoming section, we will discuss
the subjective nature of the interest axis.
But first, let us first consider aspects ofsignificantly.
The diagram suggests a way to choose
between problems, using the Pareto front
ª2009 Elsevier Inc.Forum
oblem
is a good problem, and how do you
fession. Scientists are expected to
tion of their teachers. This lack of
s choosing problems that can give
ure.
principle of optimization theory. If pro-
blem A is better on both axes than
problem B, one can erase B from the
diagram. Applying this criterion to all
problems, one is left only with problems
for which there are no problems clearly
better in both feasibility and interest.
These remaining problems are on the
Pareto front.
To decide which problem to select
along the front depends on how we weigh
the two axes. For example, a beginning
graduate student needs a problem that
is easy; positive feedback can thus be
rapidly provided, bolstering confidence.
These problems are on the bottom right
of the Pareto front. The second problem
in graduate school can move up the
interest axis. Postdocs need projects in
the top-right quadrant, since time is
limited. Beginning PIs, who need to select
a field on which to spend many years and
with which to train students, may seek
a grand challenge that can be dividedstudents and postdocs: Do not commit
to a problem before 3 months have
elapsed. In these 3 months the new

Molecular Cellapproach. In such difficult situations,
nurturing is not enough, and you need to
find support and do all you can to get
into a better situation. Even so, for many
of us dealing with the difficulties of
running a lab, taking time to choose prob-
lems can make a huge difference.
The Subjectivity of the Interest Axis
Let us now look in more detail on the axis
of problem interest. Who decides how to
rank the interest of problems? One of
the fundamental aspects of science is
that the interest of a problem is subjective
and personal. This subjectivity, however,
makes things confusing. The confusion
is due to the mixing of two voices—one
is a loud voice of the interests of those
around us, in conferences, in our depart-
ment, etc. The other is a faint voice in
have occurred to you in recent days.
Another good test: When asked to
describe our research to an acquaintance,
how does it feel to describe each project?
It is remarkable that listening to our own
idiosyncratic voice leads to better science.
It makes research self-motivated and the
routine of research more rewarding. In
science, the more you interest yourself,
the larger the probability that you will
interest your audience.
Self-Expression
What is the essence of the inner voice?
The projects that a particular researcher
finds interesting are an expression of
a personal filter, a way of perceiving the
world. This filter is associated with a set
of values: the beliefs of what is good,
beautiful, and true versus what is bad,
are discernable by the waves made on
the surface. Is this student motivated by
visual aesthetics or by abstract ideas?
By supporting the dogma or by undermin-
ing commonly held truths? Likes tech-
niques or logical proofs? Basic under-
standing or applied work? And so on.
This can help the mentor select a project
in which the student has the potential
for self-expression. As mentioned above,
when one can achieve self-expression in
science, work becomes revitalizing, self-
driven, and laden with personal meaning.
It may also have a better chance of
discovering something profound.
The Schema of Research
What happens after we choose a
problem? Before we end, I’d like to dis-
cuss the mental picture or schema westudent or postdoc reads, discusses, and
plans. The state of mind is focused on
being rather than doing. The temptation
to start working arises, but a rule is
a rule. After 3 months (or more), a celebra-
tion marks the beginning of the research
phase—with a well-planned project.
Taking time is not always easy. One
must be supported to resist the urge:
‘‘Oh, we must produce—let’s not waste
time, and start working.’’ I am under no
illusion that everyone is free to choose
their own problems, or has the time
needed for an extended search. Taking
time can be especially difficult when fund-
ing is insufficient and grant deadlines
Figure 1. The Feasibility-Interest Diagram for
Two axes for choosing scientific problems: feasibility
Forumour breast, that says, ‘‘This is interesting
to me.’’ Ranking problems with consider-
ation to the inner voice makes you morelikely to choose problems that will satisfy
you in the long term.
The inner voice can be strengthened
and guided if one is lucky enough to have
caring mentors. A scientist often needs
a supportive environment to begin to listen
to this voice. One way to help listening to
the inner voice is to ask: ‘‘If I was the only
person on earth, which of these problems
would I work on?’’ An honest answer can
help minimize compromises.
Another good sign of the inner voice are
ideas and questions that come back again
and again to your mind for months or
years. These are likely to be the basis of
good projects, more so than ideas that
Choosing a Project
and interest.ugly, and false. Our unique filter is what
we bring to the table as scientists. A multi-
plicity in styles and questions, based on
Molecular Cell 35,the uniqueness of scientists, is the basis
of a viable and creative science.
To choose a good problem, therefore,
we need to reflect on our own world
view. And, as mentors, we can help
students in the late phases of their PhD
or in the postdoc stage to strengthen their
inner voice. A mentor can help by listening
to a student describe what they like in
science, in life outside of science, what
moment made them decide to become
scientists, and what scientific work they
admire. We sometimes begin to see
patterns in what the student is talking
about. There emerges a map of values,
in the way that deep rocks in an oceanhold of what research will look like (Fig-
ure 2). A common schema is expressed
in the way papers are written: one starts
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