![\"\"](\"http:\/\/aca.archaeological.science\/wp-content\/uploads\/2018\/12\/7P7B1162crop-1024x513.jpg\")
<\/figure>\n\n\n\nScope<\/h2>\n\n\n\n
Recent advances in disciplines like computer and environmental \nsciences as well as the availability and processability of (openly \nshared) big data have triggered fundamental changes in research over the\n last decades. It has also expanded the toolbox of archaeological \nmethods. While traditional methods remain important and continue to be \nused to investigate past human societies over time and space, novel \nquantitative approaches are rapidly gaining momentum.<\/p>\n\n\n\n
Sessions<\/h2>\n\n\n\n
The three main sessions will deal with the topics…<\/p>\n\n\n\n
- quantitative approaches in spatial and non-spatial archaeological case studies.<\/li>
- data mining and new techniques of supervised and unsupervised pattern recognition in archaeological and environmental datasets.<\/li>
- applications and approaches to socioecological modelling on different scales and temporal resolutions.<\/li><\/ul>\n\n\n\n
Keynotes speakers<\/h2>\n\n\n\n
Juan A. Barcel\u00f3<\/em>; Universitat Aut\u00f2noma de Barcelona
\nMichael Barton<\/em>; Arizona State University
\nMikhail Kanevsk<\/em>i; University of Lausanne
\nOliver Nakoinz<\/em>; University of Kiel<\/p>\n\n\n\nR workshop or<\/em> Field trip<\/h2>\n\n\n\n
On the third day of the colloquium, 6th February 2019, participants \nwill have the opportunity to join a R workshop. They will work on real \narchaeological data and learn the application of advanced machine \nlearning techniques. Furthermore there will be a possibility to discuss \nown data within the workshop.
\nRead more here<\/a>.
\nAlternatively, there is the option of joining a field trip to Lake Biel and Lake Neuch\u00e2tel.
\nRead more here<\/a>.<\/p>\n\n\n\nCall for papers and registration<\/h2>\n\n\n\n
Deadline for abstract submission: 25th November 2018
Deadline for registration: 1st January 2019
Read more here<\/a>.<\/p>\n\n\n\n