during the early years. “I worked on
a language translation project,” she
says. “People thought they could solve
that in a few years. It was easy to not
understand how difficult the problems
were.” Nevertheless, she acknowledges tremendous progress. In the
1970s advances were made in defining
certain ways of doing things and, she
says, “that’s what data abstraction is
all about.” But the major challenge still
is how to build large software systems.
Such huge projects contain millions of
instructions and it’s hard to understand
something that big, and build them to
be correct and organized so that they’re
flexible and easy to modify, she says.
Women in computing have also
made progress, although they continue to encounter unconscious gender
bias, Liskov says. As associate provost
for faculty equity, she educates colleagues, including members of search
committees, about unconscious bias.
She references studies of sexist hiring
processes, including one that involved
evaluations of résumés. When Swedish
researchers changed men’s and women’s names on resumes, the resumes
“The question
of how you know
what’s worth
working on and
what’s not separates
someone who’s
going to be really
good at research
and someone’s
who’s not. There’s
no prescription.”
with a woman’s name were ranked
lower than those with a man’s. In another example, a symphony orchestra
held auditions behind a curtain and,
with the gender of the musicians being
unknown, more women were offered
jobs. “Hopefully telling them makes
them more sensitive and sophisticated,” says Liskov, “so that they notice when a letter of recommendation compares a woman only to other
women, for example.” However, she
says the issue involves not only the
biased material that hiring committee members see, but also their bias in
how they interpret it.
Liskov’s advice for those wishing to
pursue a career in research is to avoid
taking a certain direction because it
is likely to yield many published papers. Instead, she encourages following one’s own star. “It’s much better
to go for the thing that’s exciting,”
Liskov says. “But the question of how
you know what’s worth working on and
what’s not separates someone who’s
going to be really good at research and
someone who’s not. There’s no prescription. It comes from your own intuition and judgment.”
Based in Manhattan, Karen A. Frenkel is a freelance writer
and editor specializing in science and technology.
© 2009 ACM 0001-0782/09/0700 $10.00
ACM Transactions on
Internet Technology
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