Gwhich is part of the Special Focus on Information Sharing and Dynamic Data Analysis organized and sponsored by DIMACS.The purpose of this workshop is to bring together leading experts and young researchers working in different areas of paleo-environmental analysis, united by a common interest in applying statistical methods to integrate diverse data sets. This workshop will focus on statistical approaches to overcoming these challenges and making inferences about the Earths past environments.
It will bring together Earth scientists, statisticians, applied mathematicians and computer scientists to address these issues. Questions of interest during the workshop include:
- How can we combine information from different geological data sources in an efficient and statistically rigorous manner?
- What biases are introduced into environmental interpretations by natural spatial and temporal filters, and how can we account for these?
- How can we use understanding of natural processes to improve data interpretation?
- How can statistical reconstructions of past environmental changes be used to improve estimates of future environmental risks?
The workshops five thematic sessions will address:
- Paleo-temperature and inference about climate sensitivity
- Paleo-sea level and inference about ice sheet stability
- Paleo-ecology and inference about ecological change
- Paleo-environmental reconstructions and the character of the sedimentary record
- Spectral analysis and the identification of climatic pacemakers
Attendance is open to all interested participants (subject to space limitations). Please register to attend this workshop. Talks are by invitation only - the list is currently being finalized and will be updated.
Submissions for (poster) presentations are being accepted. Abstracts (one paragraph) can be sent to Robert Kopp (Robert.Kopp at rutgers.edu) by December 14, 2012.