|
September 27-28, 2008
Microsoft Research
14820 NE 36th St.
Redmond, WA 98052
USA
Quotes from Transform Science, volume 1
- "...
-
-
Science is going through a transformation due to rapid advances in computing technologies.
-
Little has been done to prepare students for the paradigm shift.
-
New Computer Science (CS) and interdisciplinary curricula are needed.
-
Different pedagogies are needed to enhance interdisciplinary training.
-
This is an opportunity for CS to reinvent and extend itself into new domains.
- ..."
CEfS2008 will continue the discussions with a focus on "Computational Education for Scientists - What to Teach?".
Call for Position Papers (due August 15, 2008)
We invite every attendee to submit a short position paper (1-3 pages); and we are looking for contributions in the following areas:
-
At a specific intersection of scientific research and computing technology, describe computational education needed to catalyze research
Examples are, but not limited to:
- Distributed computing for astrophysical virtual observatory, healthcare ontology, systems biology, weather modeling, or ...
- Machine learning and pattern recognition for medical image processing, oceanographic research, particle physics, or ...
- Modeling of astronomical spectra, biological process for drug discovery, genomic sequence, nanoelectronics design, water-quality, or ...
- What "data mining", "parallel programming", "visualization", or "workflow management" means in your research field.
-
Define computational knowledge and skills required to empower scientists in your field
Examples are, but not limited to:
- What makes a biologist a bioinformaticist?
- What makes an astronomer experimental and powerful?
-
Reveal how computing technologies can be innovatively exploited to advance scientific research and science education pedagogy
Examples are, but not limited to:
- The compiler, formal proofs, state machines, 'elegant recursive algorithms' ... - what it has to do with scientific research?
- Robotics and sensor networks enabled scientific research and science education.
- Innovative use of advanced technologies in computer gaming.
-
Pedagogical design of computing technology enhanced science education
Examples are, but not limited to:
- Computational transformation in science 111 lab - prepare students for computational challenges in research.
- Research based simulation of scientific phenomena and engineering problems for enhancing teaching/learning experience.
Paper Submission deadline: August 15, 2008
|
