>> Consider submitting your methodologically interesting articles to the BMS <<
Thanks to Joerg Blasius & Maria Rohlinger
Dear Colleagues,
I would like to inform you about the 'GESIS Spring Seminar', a teaching program
for social scientists.
Spring Seminar is primarily designed to foster knowledge and judgment
abilities in the application of multivariate statistical analysis techniques
for survey data.
First you learn about the potentials of the given tools for data analysis in
all depth needed and then in a further step new and important sources of
data are also investigated.
In 2015 we additionally demonstrate why and how Correspondence Analysis,
Multidimensional Scaling and other dimensional Representation- and
Visualization-techniques serve for deeper insight with special tasks: data
quality, machine learning, big data.
Important!
Courses in Spring Seminar consist of a lecture and a hand-on-workshop.
- The lecture provides with profound theoretical background
knowledge on the statistical methods.
The use of parameters is explained. Needs for publications are discussed.
- The hands-on-workshop shows how to apply the methods to data.
Examples with real data from social science research will be given
As a result you will be enabled to use the methods in your own research
context.
In the PC-lab all programs and data are available for each
participant.
To bring your own data to Spring Seminar helps.
.............
The title for Spring Seminar 2015 is: 44th GESIS Spring Seminar - Challenges for
Empirical Social Science Research: Assessing Data Quality - Identifying
Structures in Complex Data
2015 March 2 - 20 in Cologne, Germany
We are pleased to present the following courses:
§ Prof. Dr. Jörg Blasius, University of Bonn, Germany
Prof. em. Dr. Victor Thiessen, Dalhousie University, Halifax, Canada
Correspondence Analysis, Related Methods, and the Cross-national
Comparability of Data
March 2 - 6
§ Prof. Patrick J. F. Groenen and Pieter Schoonees,
Econometric Institute, Erasmus University Rotterdam, The Netherlands
Machine Learning and Visualization
March 9 - 13
§ Prof. Michael Greenacre, Universitat Pompeu Fabra & Barcelona Graduate
School of Economics, Spain
Dr. Oleg Nenadiæ, Georg-August-Universität Göttingen, Germany
Biplots, Big Data and Beyond!
March 16 - 20
All lectures will be given in English.
Please find the detailed program, information about location, fees,
accommodation as well as the registration on our website:
https://training.gesis.org/?site=pDetails&pID=0x45EF6F688AF1ED41ADC54300A4EE
4F97&lang=en_US
or, alternatively, if above listed link is currently not available:
http://www.gesis.org/veranstaltungen/gesis-spring-seminar/programme-2015/
*** Note: we can only accept online registration ***
The booking procedure is in two steps. First you establish personal account
at GESIS and then in a second step you book the courses.
To start the process you will find a "bock now" button at the bottom of the
above listed link or at the end of each separate course description.
In case you have problems to book a course, please send me an email:
<mailto:[log in to unmask]> [log in to unmask]
I look forward to meet you here in Cologne!
With best regards,
Maria Rohlinger
GESIS, Cologne <http://www.gesis.org> www.gesis.org
Scientific Coordinator: Spring Seminar / Mathematical Tools for Social
Scientists
*******************************************************************************
*
* Karl M. van Meter BMS, Bulletin de Methodologie Sociologique
* [log in to unmask] (Bulletin of Sociological Methodology)
* tel 33 (0)1 43 25 26 57 Web http://bms.sagepub.com
* Blog http://karlvanmeter.wordpress.com/
* École normale supérieure distribution list [log in to unmask]
* 48 boulevard Jourdan free distribution list [log in to unmask]
* 75014 Paris, France
* RC33, Research Committee Logic &
* BMS-AIMS Methodology of the International
* 45 rue Linné Sociological Association (ISA)
* 75005 Paris, France http://www.rc33.org/
*
* http://ens.academia.edu/KarlMvanMeter
*******************************************************************************
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