The Koch Institute Image Awards seek to recognize the extraordinary visuals that are produced through life sciences and biomedical research. Such images serve as windows into otherwise invisible biological worlds. They exemplify the exchange of ideas between science and engineering – an interplay that is integral to the Koch Institute's approach to cancer research. Simply put, these visuals are beautiful and thought-provoking.
Winning images will be exhibited in the large (nearly 8-foot) backlit square and circular displays at the Koch Institute Public Galleries. The images will be prominently visible to passersby on Main Street and visitors to the Koch Institute website. Materials within the Galleries and on the web will also engage visitors in the stories, people, and research behind the images.
See previous winners (and runners-up!) at ki-galleries.mit.edu.
The current exhibition opened on March 10, 2015. Submissions for the 2016 Image Awards competition will open in late spring/early summer and be accepted until early fall. Stay tuned for official announcements later this year.
Any MIT students, faculty, staff, or affiliates may submit images. MIT community members at the Broad Institute and the Whitehead Institute are also eligible, as are MIT collaborators at other universities, hospitals, and private companies.
Submissions may be any visuals generated through the contributor’s own research, including micrographs, renderings, and any other forms of data. Submissions must relate to the life sciences, but may do so by depicting any number of subjects using any number of imaging/visualization technologies. High resolution images are required for display in the Public Galleries.
Each contributor may submit no more than three images during each competitive cycle. Note that images on white backgrounds may be difficult to display in the Public Galleries. Image release/disclosure forms will be required of all winners.
To enter, send your image(s) and the accompanying image information form(s) to email@example.com. Please provide the highest resolution version of your image(s) whenever possible, preferably in uncompressed .tif format. Do NOT upsample. Images with insufficient resolution will not be presented to the judges for review.