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Hosted by Dr. Kristin Sainani, this two-day workshop is for anyone who needs to write for the scientific literature, from novices to experts.
Day 1 will teach participants how to write in a more clear, concise, and engaging style by letting go of “academic” writing habits. Topics include cutting clutter; reducing repetition and gratuitous jargon; and using strong, active verbs.
Day 2 will break down the key elements of each part of an original research manuscript, including introduction, methods, tables, figures, results, discussion, and abstract.
Learning Objectives:
Day 1: Principles of Effective Writing
1pm-1:30pm: Introductory exercise
Dissecting a paragraph from the literature
Discussion: what makes good writing?
1:30pm-2:15pm: Recognizing and cutting clutter from writing
2:15pm-2:45pm: Writing and editing exercises in groups
2:45-3:00: Break
3:00-3:30: Writing with verbs
3:30-4:00pm: Writing and editing exercises in groups
Day 2: The Writing Process, Scientific Manuscripts, Communicating Quantitative Results
8am-8:45am: The writing process
8:45am-9:00am: Introduction sections
9:00am-9:30am: Exercise in groups: Introduction sections
9:30am-10:00am: Results, methods, tables and figures
10:00am-10:15am: Break
10:15am-10:45am: Exercise in groups: Tables and results
10:45am-11:00am: Tips on communicating quantitative results
11:00am-11:20am: Discussion sections
11:20-11:45am: Exercise in groups: Discussion sections, quantitative results
11:45am-12:00pm: Wrap up
Tickets may be puchased for one or both days.
INSERT PHOTO HERE
Kristin Sainani (née Cobb) is an associate professor at Stanford University. She teaches statistics and writing; provides statistical support on projects in sports medicine; and writes about health, science, and statistics for a range of audiences. She serves as the statistics editor for the journal Physical Medicine & Rehabilitation (PM&R) and as an associate editor for the journal Research Quarterly in Exercise and Sport. She authored the health column Body News for Allure magazine for a decade, and she authors the statistics column Statistically Speaking for PM&R. She received Stanford University's Excellence in Graduate Teaching Award for the Biosciences in 2018. She provides online training in statistics through Stanford’s Medical Statistics Certificate Program, and she teaches the popular Massive Open Online Course (MOOC) Writing in the Sciences on Coursera.
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Personal information:
Personal information is collected on this website only when you voluntarily submit it by, for example, registering for the website, or updating your user profile. We respect the privacy of your personal information. Any collected personal information will not be shared, sold, or disclosed to any person or party outside the {ClientName}, and will only be used within the {ClientName} to communicate our news, events, and other services with you.
Information collected from your computer or other electronic device:
We may also collect information about your online activities and your computer or other electronic device when you visit this website. This information may include your Internet Protocol (IP) address, domain name, browser type, date and time of your request and information provided by tracking technologies, such as cookies. This information does not identify any individual. We may also use tracking devices to identify websites that you visit before and after this website. This tracking helps us to understand our users better and to improve our website and the information it provides and to maintain and administer the website. This tracking does not involve the collection of personal information.
Access and choice:
Keeping your information accurate and up-to-date is important so we can provide you with helpful information and services. You may update, correct, or delete personal information by modifying your user profile. You can choose not to receive information about specific {ClientName} products and services, or any other promotional materials, from us by direct mail and/or e-mail at any time by modifying your communication preferences also located in your user profile.
Links to other websites:
{ClientName} may provide links to third-party websites. The {ClientName} is not responsible for and cannot control the privacy practices of those other sites. Those sites will have their own privacy policy which may be different from this privacy policy. Please check the privacy policy for each site you visit.
Changes to the {ClientName} privacy policy:
The {ClientName} reserves the right to revise this privacy policy at any time. You will be notified of any significant changes made herein.
Unless otherwise specified, event registration refunds are subject to a 25% administrative fee. Each event will have a date beyond which refunds will not be honoured.
By completing purchases with us you agree to have your Credit card and personal information securely stored as part of a payment profile within a 3rd party payment gateway. This securely stored payment profile will be used, when authorized, for automated recurring payments and will allow for easier and faster checkouts. No credit card information is stored within Member365 and all payment data is accessed by way of a secure API. Under no circumstances do we share credit card or personal details.