**
*We invite chemists, chemical engineers, statisticians, applied
mathematicians, and computer scientists to apply for the Data in
Chemistry Innovation Lab, which will be held at Airlie House in
Warrenton, VA, on 17-21 December 2018.<http://www.ourwebsitehere.edu>The
Innovation Lab is sponsored by the Division of Chemistry (CHE) and
Division of Mathematics Science (DMS) at the National Science Foundation
(NSF). Participant travel expenses will be covered by the grant. *
*
The purpose of the Innovation Lab is to leverage the power of data
science to address urgent challenges in chemistry, thereby advancing
both fields. An Innovation Lab is a deliberate, creative process of
generating novel research ideas, through face-to-face meetings. It also
enables the participants from different fields to become acquainted with
each other’s languages and develop new research ideas at the interface.
Specifically, the lab will promote the development of effective
interdisciplinary approaches to chemical problems; advance data-science
methodologies for the physical sciences; and lead to long-term, strong
collaborations between two historically non-overlapping fields.
We envision that the 5-day Lab will bring together 20 chemists and 20
data scientists, to start collaborative projects on site. While all
areas of chemistry are of interest, preference will be given to areas
that are central to chemistry research but have received little
attention from data science thus far. Data scientists with interest in
developing new methodologies are especially encouraged to apply, and
prior experience with chemical datasets is not required. Applicants with
strong interests in creative problem solving and forming
interdisciplinary collaborations will be selected to attend.
Please visit our website at
https://hub.ki/groups/datainspiredchemistryfor additional information on
the scope and vision of the Innovation Lab, as well as the online
application process. An online webinar to introduce and discuss the
Innovation Lab will be held October 18th, 2018 at 1:30 PM
EST.Applications will be due Friday October 26th, 2018, at 8PM EST.
*
--
Aarti Singh
Associate Professor
Machine Learning Department
Carnegie Mellon University
http://www.cs.cmu.edu/~aarti/
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