NORTHWESTERN (US)—A study of mentor-protege relationships confirms what parents and children have known for a long time: the generation gap is real–affecting not only communication, but who ultimately succeeds at mentoring and who doesn’t.
An analysis of 60 years of a “family tree” of mathematicians and the doctoral students they advised found very successful academics do a good job mentoring students during the first third of their careers but do a bad job during the last third of their careers.
“It’s a phenomenon in our culture that as you gain more importance and success you are expected to oversee more and more people, which means that face time with your protégés goes down,” explains R. Dean Malmgren, a postdoctoral fellow in chemical and biological engineering at Northwestern University and first author of the study. “This tradeoff has negative consequences.”
The findings, based on data from the Mathematics Geneology Project, which stretches back to Isaac Newton’s time, have implications stretching well beyond academia to business, governmental organizations, sports, and art, the researchers say.
Details of the research—the first large-scale to quantitatively examine the effects of mentoring—are published iin the June 3 issue of the journal Nature.
“The results are striking in reminding us of the limits of human effort,” says co-author Luís Amaral, professor of chemical and biological engineering.
“Mathematicians later in their careers should not be training graduate students—it appears to be counterproductive. Older and overstretched mentors may be too far removed from their young protégés’ experience to train them effectively. There is a disconnect.”
Key findings of the study include:
• When examining mathematicians with a large number of protégés, the researchers found students trained by mathematicians in the first third of their careers went on to train 37 percent more students than expected while students trained by mathematicians in the last third of their careers went on to train 31 percent fewer students than expected.
• The best mathematicians as measured by membership in the prestigious National Academy of Sciences mentored more students than those who were not members of NAS, despite the fact math advisors do not publish with students so there is no real professional gain from mentorship.
• The average number of advisees during a mentor’s career was 10, and that number did not change despite the study period including two world wars, the Great Depression, the emigration of many scientists from Europe to the U.S. in the 1930s and 1940s, and the Cold War.
• Mentors who advised a smaller than average number of protégés did a better job than those who advised an average number of protégés. Those who trained just a few individuals had students who went on to mentor more than the average number of students.
“The causes for what we are observing are totally unknown, but what is clear is that patterns exist,” explains co-author Julio M. Ottino, dean of the McCormick School and Walter P. Murphy Professor of Chemical and Biological Engineering.
“Our findings open up a lot of questions within the field of mentorship and beyond.”
The mentor-protégé relationship is critical to the success of many organizations yet is difficult to study because good data is lacking.
The researchers studied the mentorship network of 7,259 mathematicians who graduated between 1900 and 1960.
“Mathematicians track their lineage across the world,” says Malmgren. “This information is exactly what we needed to study the effects of mentoring on a large population of individuals over a long period of time.”
Mentoring in mathematics is a remarkably altruistic activity. A math mentor is not a co-author of a student’s paper—very unusual in academia—so a mentor’s career is not directly influenced by what a student achieves or publishes.
This idiosyncrasy of mathematics provided the Northwestern researchers with “clean” data for studying the effect of mentorship on a protégé’s career.
“Is there a mentorship effect, or is it all about innate ability?” Amaral says. “The mathematics field was a perfect laboratory for studying mentorship and answering these questions. Clearly, mentorship does play a role.”
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