Skip to main content

Archive

Workshop on "Analysis of Earth-science data: getting it right by keeping it real"

  Event

Date: 6th - 8th April 2022

Venue:FU Berlin, Campus Lankwitz

Contact Person: Juliane Rohlmann (juliane.rohlmann@fu-berlin.de)

 

 

Analysis of Earth-science data: getting it right by keeping it real

Negative element concentrations and sediment ages reaching into the future? Impossible predictions appear to be an unavoidable byproduct of data analysis in the Earth Sciences. If you are an undergraduate student, PhD, or postdoc, and are curious to know how you can avoid these (and many other) common mistakes, this workshop is for you. Our objective is to offer a simple, logical, and effective recipe for statistical model generation in the Earth Sciences, aimed at avoiding many common errors. Armed with this knowledge, you will be able to generate mathematically, physically, and statistically meaningful models. We will start from the basics: mathematical and statistical knowledge at university entry level is sufficient to follow the workshop. In the first part, we will introduce the principles of successful model building using simple examples. In the second part, we will develop these into more advanced models. In this part, we will focus on prediction of sediment properties from core data. We will explain the advanced methods at a conceptual level only, to illustrate the opportunities offered by our approach.
The workshop will take place from 6 to 8 April 2022 and is planned to be in person at Campus Lankwitz (lecture hall G 202, house G). In order to participate, please send an E-Mail to Juliane Rohlmann (juliane.rohlmann@fu-berlin.de), stating:
•    Full Name
•    Level (undergraduate, PhD or Postdoc)
•    Your preferred programming environment (e.g. R, Matlab, Python or Excel)
•    (Optional) A data-analysis problem you would like to present

On behalf of the organizers: Gert Jan Weltje (KU Leuven), Kai Hartmann (FU Berlin), Anne Bernhardt (FU Berlin), Rik Tjallingii (GFZ Potsdam) and Arne Ramisch (GFZ Potsdam).

Back