Thursday 24th April 2014,
Imagine Science Films

Scenes

Scenes aims to get a snapshot of the current state of research around the world through moving images.

In Partnership with:

Google

For Submission, complete this Form

Scenes Online Form

About SCENES

Scenes will stand at the intersection of science and video art. In the first edition of SCENES, we are searching for visually-stimulating experiment, in the laboratory or in the field. The concept is that you film should capture a experiment that is as true to reality as possible, as if you were looking through a window or microscope, into space or based on computer simulations/calculations.

Scientists and artists around the world will record experiments, either in a laboratory or in the field based on the definition of an experiment. Pick a spot, preferably with little to no trace of humans. An experiment is defined as a methodical trial and error procedure carried out with the goal of verifying, falsifying, or establishing the validity of a hypothesis. This definition should be reflected in the videos you create.

By the end of December, we will make a selection of films that will be live on our channel, spread into the veins of our ISF community.

Requirements:

- 5 minutes or less.
- Capture transition (sun to rain, light to dark, ice to liquid)
- Real-time (no time acceleration or break in time)
- No Intensive Post-Production (ex: color correction)
- Preferably little to no trace of human activity unless your lab studies HUMANS.
- Naming Video: Scenes: #Laboratory, #University/Institute/Company, #City

For Submission Guidelines and Form, Go to:

Scenes Online Form

SCENES AMBASSADORS

Lorenzo Diaz Mataix

After his M.D. in Pharmacy and his M.D. in biochemistry at the University of Valencia, Spain, Lorenzo Diaz-Mataix started graduate School in Neuroscience in the laboratory of Dr. Francesco Artigas at the University of Barcelona. In 2006, he defended his doctoral thesis which focused on the neural pathways involved in Schizophrenia. Sponsored by a Fulbright postdoctoral fellowship, he currently works in Center for Neural Science at NYU where he studies the physiology and pharmacology of fear memory and learning.

Adria LeBoeuf

Adria is a Californian neuroscientist and theatre director specialising in science-related theatre. She did her BA and pre-doc at the College of Creative Studies at UC Santa Barbara, doing research on molecular neuroscience and evolutionary psychology. With a PhD on the biophysics of sensory neuroscience from the Rockefeller University, Adria is now using ant colonies to study emergent decision-making in social networks at the University of Lausanne. Adria also leads The Catalyst, a cross-disciplinary improvisation-based theater group for scientists to help breakdown stereotypes, improve public speaking skills, and broaden creative expression. Adria is passionate about spreading the beauty of science and improving critical thinking worldwide in any way possible.

Fabian Czerwinski

Fabian is currently a postdoctoral fellow in the Shaevitz lab at the Institute for Integrative Genomics, Princeton University’s hub of the Center for Quantitative Biology.

William Dewitt

William received his BA and MS in physics from the University of Vermont, where he worked with biophysicist Kelvin Chu in the spectroscopic study of DNA and hemeproteins at temperatures near absolute zero. His published work from this collaboration developed information theoretic methods to infer how heterogeneity in a protein’s biological function couples to heterogeneity in structural conformation. Migrating from biophysics to computational genomics, William worked with Professor Yufeng Shen at the JP Sulzberger Columbia Genome Center. In an effort to resolve somatic mutations in low-purity tumor data, his work focused on statistical modeling of context-dependent error patterns in next-generation sequencing data. Currently William works as a senior scientist at Adaptive Biotechnologies in Seattle. As a member of a small computational biology group, he works on advancing the computational science behind sequencing studies of the adaptive immune repertoire.