Who do you write papers for?
Mitch Daniels, the former governor of Indiana and new president of Purdue, wrote an inaugural letter where he discusses many of the challenges of higher education. His lists several common attacks on universities and one caught my eye.
I write papers mainly for myself. I have my own opinions on what problems are important and where my interests and research strengths lie. One of the main draws of being a professor is having the freedom to choose our own research.
But we have to write for our peers as well. It's our peers that review and cite our papers and make decisions about grants and jobs. For the most part our peers are the only ones who read our papers.
In the end we write papers for society. Most of our papers taken individually add a small amount to human knowledge and are only of interest to fellow specialists. But taken together our research drives a field of inquiry allowing us to understand and take on new challenges. Even if we have trouble selling a specific theoretical computer science papers to a broader audience, taken as a whole theory helps us model and understand the power of computation and leads to smarter and faster algorithms on real world machines.
Too many professors are spending too much time "writing papers for each other," researching abstruse topics of no real utility and no real incremental contribution to human knowledge or understanding.
I write papers mainly for myself. I have my own opinions on what problems are important and where my interests and research strengths lie. One of the main draws of being a professor is having the freedom to choose our own research.
But we have to write for our peers as well. It's our peers that review and cite our papers and make decisions about grants and jobs. For the most part our peers are the only ones who read our papers.
In the end we write papers for society. Most of our papers taken individually add a small amount to human knowledge and are only of interest to fellow specialists. But taken together our research drives a field of inquiry allowing us to understand and take on new challenges. Even if we have trouble selling a specific theoretical computer science papers to a broader audience, taken as a whole theory helps us model and understand the power of computation and leads to smarter and faster algorithms on real world machines.
Published on January 31, 2013 04:26
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