Don’t Write Like a Scientist
How to Capture Your Reader’s Attention
What will you learn?
- You will learn to how to get rid of your ineffective “academic” writing habits
- You will discover how to cut through the clutter and be more precise
- You will understand how to reduce repetition and use of superfluous jargon
- You will know how to use strong active verbs for impactful communication
Scientific writing is often needlessly complex and hard to read. On the other hand, good research communication is all about conveying ideas that will have profound impact on human lives; it demands clarity and simplification. But the academic register used to give an intellectual “feel” to scientific writing is peppered with formal grammatical structures, confusing jargon, and complex academic phrases.
Complicating good research in an effort to sound tasteful or authoritative means you risk not being understood. Moreover, your published papers may not get read and cited enough and you won’t get to create the impact you’ve worked so hard to achieve!
Wondering how to overcome bad writing habits like flexing a large and elaborate vocabulary and deliver effective scientific communication? Master the principles of effective writing by watching this webinar titled Don't write like a scientist, conducted by Regina Nuzzo, a professor at Gallaudet University in Washington, D.C., and Kristin Sainani, an associate professor at Stanford University.In this webinar, you will learn how to write in a clear, concise, and engaging style by letting go of ineffective “academic” writing habits.
The instructors will walk you through their approach to editing by rewriting two scientific abstracts, sharing exclusive writing tips and strategies along the way to make your academic documents more engaging. Watch as they transform hard-to-read prose into engaging text in this interactive webinar hosted.
Regina Nuzzo, PhD, is a professor at Gallaudet University in Washington, D.C., a senior advisor for statistics communication at the American Statistical Association, and an award-winning science journalist. She has lectured on television and around the world to various audiences about statistical significance, research reproducibility, de-biasing data analysis, and statistics communication. She received her PhD in statistics from Stanford University and graduate training in science journalism at the University of California, Santa Cruz. Her writings on probability, statistics, data, and other topics have appeared in the Los Angeles Times, New York Times, Scientific American, New Scientist, Reader's Digest and Nature, among others.