Archives for February 28, 2015

Regional Translational Medicine at KU in April 6 – 7

It is my pleasure, along with Joe Heppert, Associate Vice Chancellor for Research and Professor of Chemistry at the University of Kansas (KU) Office of Research, to invite you to a regional Translational Medicine Meeting at the University of Kansas starting on Monday, Monday, April 6 at noon concluding on Tuesday April 7 at 2:00 p.m.

A copy of the preliminary agenda is attached. It includes multiple presentations on vaccine development, bioinformatics, neuroscience, bioengineering, infectious disease and cancer, and protein structure and function. There will also be guided tours of seven KU core lab facilities, and a Monday evening poster session, reception, and dinner at the Bioscience & Technology Business Center at KU.

By way of background, this is the third year that the Kansas Area Life Sciences Institute (KCALSI) has coordinated regional translational medicine meetings. We convened at the University of Missouri-Columbia in 2013 and in 2014 at Kansas State University. These meetings help improve awareness and understanding of regional research expertise and facilities. They also foster new collaborations between institutions and with industry across the region.

Our desired outcome of this meeting is to increase regional collaborations and we ask you accordingly to please communicate those to KCALSI so that we can track the opportunities.

Specific Actions for You:
1. By Friday, March 6, please confirm your participation to Sharon Newman at snewman@kclifesciences.org and also register to attend the meeting at http://research.ku.edu/kcalsi-regional-translational-medicine-meeting .
2. Hotel Reservations: Until March 13, The Oread Hotel in Lawrence is holding a block of rooms at a reduced rate for meeting participants. Information about the reduced rate is at the meeting registration site. More information about the Oread Hotel is available at http://theoread.com/.
3. We would like to include the “right” researcher in the upcoming KU meeting. Please carefully consider who else would benefit from this meeting at KU and provide us their contact information to include in future correspondence.

We hope you can be part of this exceptional opportunity for collaboration April 6-7 in Lawrence.

Thanks,
Wayne

Wayne O. Carter, DVM, PhD, DACVIM
Kansas City Area Life Sciences Institute| President and Chief Executive Officer
30 W. Pershing Road, Suite 210 | Kansas City, MO 64108
Phone: 816-753-7700 | Direct: 816-285-0570 | Mobile: 785-221-1735
Email: wcarter@kclifesciences.org| Website: www.kclifesciences.org

Science of Science and Innovation Policy (SciSIP)

Science of Science and Innovation Policy (SciSIP) (Support for Agenda Setting Conferences for the SciSIP Program) (And Innovative Uses of STAR METRICS & NCSES Data to Illuminate Science Policy)

09 May 2015
Summary Letters
Confirmed

The SciSIP program supports research designed to advance the scientific basis of science and innovation policy. Research funded by the program thus develops, improves and expands models, analytical tools, data and metrics that can be applied in the science policy decision making process.

Critical Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA)

Critical Techniques and Technologies for Advancing Big Data Science & Engineering (BIGDATA)

20 May 2015
Full Proposal
Confirmed

BIGDATA program seeks novel approaches in computer science, statistics, computational science, and mathematics, along with innovative applications in domain science, including social and behavioral sciences,geosciences, education, biology, the physical sciences, and engineering that lead towards the further development of the interdisciplinary field of datascience. The solicitation invites two types of proposals: “Foundations” (F): those developing or studying fundamental theories, techniques, methodologies,technologies of broad applicability to Big Data problems; and “InnovativeApplications” (IA): those developing techniques, methodologies andtechnologies of key importance to a Big Data problem directly impacting at least one specific application.