Next DRCR Retina Network Chair Position


The DRCR Retina Network Chair is responsible for the scientific direction of the NIH funded DRCR Retina Network.  The term is for 5 years, with an opportunity to re-apply. The current term concludes December 31, 2022.  The next Network Chair term will begin January 1, 2022 as Chair-Elect and then from January 1, 2023 through December31, 2027 as Network Chair.  At least 40%,and potentially up to 50% of dedicated effort (approximately 16 to 20 business hours per week, Monday through Friday) would be needed for the Chair position beginning January 2023. 

The application process will begin in July 2021 and selection ideally will be finalized by the end of September2021 to permit adequate time for the individual to adjust schedules accordingly.  More information on the Network Chair’s responsibilities and the Network’s organizational structure can be found in the DRCR Retina Network Policies.



Amazon Smile

Amazon has a program called AmazonSmile which is a simple, free, and automatic way for you to support your favorite charitable organization every time you shop, at no cost to you.  The DRCR Retina Network has registered the Jaeb Center for Health Research on AmazonSmile.  When you shop at, you’ll find the exact same low prices, vast selection and convenient shopping experience as, with the added bonus that Amazon will donate a portion of the purchase price directly to the DRCR Retina Network.  When you purchase through AmazonSmile please consider setting up the donation to the Jaeb Center for Health Research.   


Image Training Set Available

At this time, the NIH-sponsored DRCR Retina Network is making a set of fundus photographs from eyes with a wide range of diabetic retinopathy severity available upon request to public or private organizations.  Since 2002, has collected 7-field and 4-wide field color fundus photographs from eyes across the full range of diabetic retinopathy severity levels within DRCR Retina Network clinical studies.  At the present time, the Network is making a subset of these images available to any public or private organization that has automated detection software for retinopathy assessment.  The purpose of providing this subset is to allow organizations to test their algorithms across a range of diabetic retinopathy severity and to compare their results with standardized grading from an independent reading center.  As a long-term goal, the Network plans to conduct a comparative study across multiple software applications to assess the performance of these applications to reliably detect diabetic retinopathy.  The Network has reserved a larger set of images that will be used for this purpose to compare and validate multiple algorithms. For more information contact