SFSU Center for Computing for Life Sciences “Data for Decision Making” Panel
Center for Computing for Life Sciences (CCLS) Presents
Data for Decision Making: Lab, Enterprise, Web
6:00 PM May 3, 2012 — SFSU Science Bldg (SCI) Room 210
About the seminar
This is continuation of the Bay Area Seminar Series of the Center for Computing in Life Sciences. This seminar, in the format of a panel discussion, will provide insights and explore issues regarding management of one’s data, sharing data with teams and enterprise-wide knowledge bases, and using data from the web. The panelists will describe their experiences as to how life science researchers and clinicians use data and tools to accomplish their day to day tasks and how organizations capture and employ IP as a resource for its knowledge workers. This discussion will include 1.) informatics objectives of end users, teams and organizations, 2.) information flow and tools 3.) improving decision making. This seminar will be useful for researchers and clinicians, life science management, IT architects and information systems managers, software developers, statisticians, machine learning researchers, and knowledge managers.
Please register at: http://sfsuccls-labtoenterprise.eventbrite.com
- Barry Bunin – President & CEO, Collaborative Drug Discovery
- Erich Gombocz – VP & Chief Scientific Officer, IO Informatics
- Dominic John – Product Marketing Director, Accelrys
- Joseph Mulvaney – Informatics Specialist, Small Molecule Discovery Center, UCSF
- Moderator: Bob Dunkle – A.B.E.S Partners
Date: Thursday, May 3, 2012
Time: Networking: 6:00-7:00 PM, Seminar: 7:00-8:45 PM
Location: SFSU Campus, Science (SCI) – Room 210, 1600 Holloway Ave (off 19th Avenue), San Francisco, 94132
Cost: No charge (light refreshments will be served)
Welcome – Dragutin Petkovic, Director, CCLS
Overview of Seminar – Bob Dunkle
Experiences and perspective on lab-to-enterprise informatics – Panelists
Panel conversation and open Q&A
CCLS – SFSU Center for Computing for Life Sciences http://cs.sfsu.edu/ccls/index.html
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