Conference Presentations by Benjamin Serbe
Communication and relationship determine a large part of human society. They form the basis for t... more Communication and relationship determine a large part of human society. They form the basis for trade, exchange, the transfer of ideas, domination and conflict. The reconstruction and research of these relationships are an important part of archaeological science. Amber is an excellent material for such a question because it only occurs in certain areas, is easy to transport (light weight) and has no practical but high social value. With the exploration of amber-based networks it is possible to identify routes of technology and knowledge transfer in a trans-European context and to investigate the importance of different places in these networks.
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In recent years, R has silently become the workhorse for many quantitative archaeologists. It’s o... more In recent years, R has silently become the workhorse for many quantitative archaeologists. It’s open source, platform-independent and can be linked very well with other programming languages. [...] Nevertheless, there are still many colleagues who have not yet realised the potential of the language and how easy it is today to conduct high quality research with the available tools. [...]
Within this session we would like to explore the state of the art and the potential application of R in archaeology. We invite presentations for this session that explore questions like (but not limited to):
* What are the specific benefits of this statistical framework in the eyes of its users?
* What are the possibilities? What are the limits?
* What future directions might the usage of R in archaeology have?
* Which archaeological package has been developed, and which package still has to be developed to improve the usability of the sofware for archaeologists?
* What has to be considered to optimise the workflow with R?
We especially would like to attract colleagues who might present archaeological R packages that are ready or in the making and demonstrate their relevance for archaeological analysis. Also we would like to encourage potential presenters to demonstrate their research approaches via live coding, for which we would support them in ensuring that their presentations will work offline and on foreign hardware. [...] We
hope to foster a productive and inclusive exchange between both young and experienced users from all backgrounds.
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Papers by Benjamin Serbe
ROOTS of Routes: Mobility and Networks between the Past and the Future, 2023
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Quaternary
In this report, we present the contributions, outcomes, ideas, discussions and conclusions obtain... more In this report, we present the contributions, outcomes, ideas, discussions and conclusions obtained at the PaleoMaps Workshop 2019, that took place at the Institute of Geography of the University of Cologne on 23 and 24 September 2019. The twofold aim of the workshop was: (1) to provide an overview of approaches and methods that are presently used to incorporate paleoenvironmental information in human–environment interaction modeling applications, and building thereon; (2) to devise new approaches and solutions that might be used to enhance the reconstruction of past human–environmental interconnections. This report first outlines the presented papers, and then provides a joint protocol of the often extensive discussions that came up following the presentations or else during the refreshment intervals. It concludes by adressing the open points to be resolved in future research avenues, e.g., implementation of open science practices, new procedures for reviewing of publications, and ...
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Geosciences, 2019
Location modeling, both inductive and deductive, is widely used in archaeology to predict or inve... more Location modeling, both inductive and deductive, is widely used in archaeology to predict or investigate the spatial distribution of sites. The commonality among these approaches is their consideration of only spatial effects of the first order (i.e., the interaction of the locations with the site characteristics). Second-order effects (i.e., the interaction of locations with each other) are rarely considered. We introduce a deductive approach to investigating such second-order effects using linguistic hypotheses about settling behavior in the Final Palaeolithic. A Poisson process was used to simulate a point distribution using expert knowledge of two distinct hunter-gatherer groups, namely, reindeer hunters and elk hunters. The modeled points and point densities were compared with the actual finds. The G-, F-, and K-function, which allow for the identification of second-order effects of varying intensity for different periods, were applied. The results reveal differences between the two investigated groups, with the reindeer hunters showing location-related interaction patterns, indicating a spatial memory of the preferred locations over an extended period of time. Overall, this paper shows that second-order effects occur in the geographical modeling of archaeological finds and should be taken into account by using approaches such as the one presented in this paper.
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Conference announcements by Benjamin Serbe
The presentations are scheduled for 15 minutes plus 5 minutes of discussion. Poster presentations... more The presentations are scheduled for 15 minutes plus 5 minutes of discussion. Poster presentations are also possible. Abstracts are limited to 2,500 characters (incl. spaces) and may include up to 5 references.
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Dec 02, 2021 to Dec 04, 2021
Hybrid: Audimax CAP2 – Hörsaal C at Kiel University and on ZOOM
... more Dec 02, 2021 to Dec 04, 2021
Hybrid: Audimax CAP2 – Hörsaal C at Kiel University and on ZOOM
Exchange networks structure and development are essential for explaining social and economic inequalities. The conference aims to detect those inequalities within the distribution of sourced raw materials over time and space. It centres on large-scale exchange networks from the Neolithic to the Iron Age.
For access to the zoom conference please contact:
Linda Seifert stu227208@mail.uni-kiel.de
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European Neolithic by Benjamin Serbe
Antiquity, 2023
The Big Exchange project investigates large-scale exchange systems in Eurasia and Africa (8000-1 ... more The Big Exchange project investigates large-scale exchange systems in Eurasia and Africa (8000-1 BC). We concentrate on raw materials of known origin ('sourced finds'). Network analysis of tools and artificial intelligence methods are used to analyse the combined data sets. We invite broad collaboration on bimodal exchange networks.
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Others by Benjamin Serbe
The integration of Artificial Intelligence (AI) in
archaeology is transforming how researchers ex... more The integration of Artificial Intelligence (AI) in
archaeology is transforming how researchers explore,
analyse, and interpret the past. This session will delve
into current AI methodologies, including machine
learning, computer vision, and natural language
processing, that are being leveraged to enhance
archaeological research. Contributions can cover
a diverse range of applications, from automated
artefact recognition and classification to predictive
modelling of archaeological sites and the digital
reconstruction of ancient structures.
Participants have the possibility to engage in
critical conversations about the technical aspects
of implementing AI in archaeology, the challenges
encountered, and the future directions of this
interdisciplinary collaboration. By showcasing
successful projects and emerging trends, this session
aims to spark dialogue and idea exchange among
researchers, practitioners, and technologists. We
invite scholars, practitioners, and technologists to join
us in this dynamic discussion on the synergy between
AI and archaeology. Your participation will help
advance this transformative field, foster innovation,
and uncover new dimensions of our shared human
heritage.
As a matter of fact, the preceding abstract was
generated by OpenAI’s GPT-3.5 through the client
ChatGPT. The organisation of the session is part of
ROOTS as well as of the Datencampus project Big
Exchange, a joint AI project of Prehistory and Data
Science funded by the state of Schleswig-Holstein.
Bookmarks Related papers MentionsView impact
Uploads
Conference Presentations by Benjamin Serbe
Within this session we would like to explore the state of the art and the potential application of R in archaeology. We invite presentations for this session that explore questions like (but not limited to):
* What are the specific benefits of this statistical framework in the eyes of its users?
* What are the possibilities? What are the limits?
* What future directions might the usage of R in archaeology have?
* Which archaeological package has been developed, and which package still has to be developed to improve the usability of the sofware for archaeologists?
* What has to be considered to optimise the workflow with R?
We especially would like to attract colleagues who might present archaeological R packages that are ready or in the making and demonstrate their relevance for archaeological analysis. Also we would like to encourage potential presenters to demonstrate their research approaches via live coding, for which we would support them in ensuring that their presentations will work offline and on foreign hardware. [...] We
hope to foster a productive and inclusive exchange between both young and experienced users from all backgrounds.
Papers by Benjamin Serbe
Conference announcements by Benjamin Serbe
Hybrid: Audimax CAP2 – Hörsaal C at Kiel University and on ZOOM
Exchange networks structure and development are essential for explaining social and economic inequalities. The conference aims to detect those inequalities within the distribution of sourced raw materials over time and space. It centres on large-scale exchange networks from the Neolithic to the Iron Age.
For access to the zoom conference please contact:
Linda Seifert stu227208@mail.uni-kiel.de
European Neolithic by Benjamin Serbe
Others by Benjamin Serbe
archaeology is transforming how researchers explore,
analyse, and interpret the past. This session will delve
into current AI methodologies, including machine
learning, computer vision, and natural language
processing, that are being leveraged to enhance
archaeological research. Contributions can cover
a diverse range of applications, from automated
artefact recognition and classification to predictive
modelling of archaeological sites and the digital
reconstruction of ancient structures.
Participants have the possibility to engage in
critical conversations about the technical aspects
of implementing AI in archaeology, the challenges
encountered, and the future directions of this
interdisciplinary collaboration. By showcasing
successful projects and emerging trends, this session
aims to spark dialogue and idea exchange among
researchers, practitioners, and technologists. We
invite scholars, practitioners, and technologists to join
us in this dynamic discussion on the synergy between
AI and archaeology. Your participation will help
advance this transformative field, foster innovation,
and uncover new dimensions of our shared human
heritage.
As a matter of fact, the preceding abstract was
generated by OpenAI’s GPT-3.5 through the client
ChatGPT. The organisation of the session is part of
ROOTS as well as of the Datencampus project Big
Exchange, a joint AI project of Prehistory and Data
Science funded by the state of Schleswig-Holstein.
Within this session we would like to explore the state of the art and the potential application of R in archaeology. We invite presentations for this session that explore questions like (but not limited to):
* What are the specific benefits of this statistical framework in the eyes of its users?
* What are the possibilities? What are the limits?
* What future directions might the usage of R in archaeology have?
* Which archaeological package has been developed, and which package still has to be developed to improve the usability of the sofware for archaeologists?
* What has to be considered to optimise the workflow with R?
We especially would like to attract colleagues who might present archaeological R packages that are ready or in the making and demonstrate their relevance for archaeological analysis. Also we would like to encourage potential presenters to demonstrate their research approaches via live coding, for which we would support them in ensuring that their presentations will work offline and on foreign hardware. [...] We
hope to foster a productive and inclusive exchange between both young and experienced users from all backgrounds.
Hybrid: Audimax CAP2 – Hörsaal C at Kiel University and on ZOOM
Exchange networks structure and development are essential for explaining social and economic inequalities. The conference aims to detect those inequalities within the distribution of sourced raw materials over time and space. It centres on large-scale exchange networks from the Neolithic to the Iron Age.
For access to the zoom conference please contact:
Linda Seifert stu227208@mail.uni-kiel.de
archaeology is transforming how researchers explore,
analyse, and interpret the past. This session will delve
into current AI methodologies, including machine
learning, computer vision, and natural language
processing, that are being leveraged to enhance
archaeological research. Contributions can cover
a diverse range of applications, from automated
artefact recognition and classification to predictive
modelling of archaeological sites and the digital
reconstruction of ancient structures.
Participants have the possibility to engage in
critical conversations about the technical aspects
of implementing AI in archaeology, the challenges
encountered, and the future directions of this
interdisciplinary collaboration. By showcasing
successful projects and emerging trends, this session
aims to spark dialogue and idea exchange among
researchers, practitioners, and technologists. We
invite scholars, practitioners, and technologists to join
us in this dynamic discussion on the synergy between
AI and archaeology. Your participation will help
advance this transformative field, foster innovation,
and uncover new dimensions of our shared human
heritage.
As a matter of fact, the preceding abstract was
generated by OpenAI’s GPT-3.5 through the client
ChatGPT. The organisation of the session is part of
ROOTS as well as of the Datencampus project Big
Exchange, a joint AI project of Prehistory and Data
Science funded by the state of Schleswig-Holstein.