Tag Archives: networks

EAA goes digital!

This year the EAA (European Association of Archaeologists) Annual Meeting is taking place between 5-8 September 2018 in the loveliest of cities – Barcelona. We have prepared an exciting set of simulation-complexity-data related events, so if you use a computer in your research this EAA will be the most exciting yet!


During the conference we will be running a standard paper sessionCAA@EAA: Computational Models in Archaeology (abstract below) focusing on formal, computational models in archaeology (not exclusively simulation, but we do like our ABMs ;). The abstract deadline is 15 February. You can submit your abstract via the EAA system.

On top of that throughout the conference we will offer Data Clinic – a personalised one-to-one consultation with data and modelling specialists (summary below). In order to give us a head-start with matching archaeologists to data experts we ask participants to submit a short summary outlining their data, research questions and the ideas they may already have via the standard route of the EAA system (please note, that as an alternative format it will not count towards the paper limit imposed by the EAA).

Finally, we are very excited to announce the Summer School in Digital Archaeology which will take place immediately after the EAA, between 10-14 September 2018. A week of hands-on tutorials, seminars, team challenges and intensive learning, the Summer School will provide an in depth training in formal computational models focusing on data modelling, network science, semantic web and agent-based modelling. Thanks to the generous support of the Complex Systems Society we are able to offer a number of bursaries for the participants. For more details please see the School website; we recommend to pre-register as soon as possible (pre-registration form).

Please feel free to pass this info onto your colleagues and students who might be interested. 

We hope to see many of you in sunny Barcelona! 


Session: #672 CAA @ EAA: Computational Models in Archaeology

Theories and methods in archaeological sciences
Session format:
Session, made up of a combination of papers, max. 15 minutes each

Models are pervasive in archaeology. In addition to the high volume of empirical archaeological research, there is a strong and constant interest among archaeologists and historians in questions regarding the nature, mechanisms and particularities of social and socio-natural processes and interactions in the past. However, for the most part these models are constructed using non-formal verbal arguments and conceptual hypothesis building, which makes it difficult to test them against available data or to understand the behaviour of more complex models of past phenomena.

The aim of this session is to discuss the role of formal computational modelling in archaeological theory-building and to showcase applications of the approach. This session will showcase the slowly changing trend in our discipline towards more common use of formal methods.

We invite contributions applying computational and quantitative methods such as GIS, data analysis and management, simulation, network science, ontologies, and others to study past phenomena concerned with societal change, human-environment interactions and various aspects of past systems such as economy, cultural evolution or migration. Methodological and theoretical papers on the benefits and challenges of quantification, the epistemology of formal methods and the use of archaeological material as a proxy for social processes are also welcome.

Main organisers:
dr Iza Romanowska (Spain), dr Luce Prignano (Spain), María Coto-Sarmiento (Spain), dr Tom Brughmans (United Kingdom), Ignacio Morer (Spain)

Session: #663 Archaeological Data Clinic. Personalised consulting to get the best of your data.

Theories and methods in archaeological sciences
Session format:
Discussion session: Personalised consulting to get the best of archaeologial data. We will set up meetings with an expert in data analysis / network science / agent-based modelling.

In the ideal world we would all have enough time to learn statistics, data analysis, R, several foreign and ancient languages and to read the complete works by Foucault. In reality, most researchers artfully walk the thin line between knowing enough and bluffing. The aim of this workshop is to streamline the process by pairing archaeologists with data and computer science specialists.

  • If you have a dataset and no idea what to do with it…
  • if you think PCA/least cost paths / network analysis / agent-based modelling is the way forward for your project but you don’t know how to get started…
  • If you need a second opinion to ensure that what you’ve already done makes sense…

…then this drop-in clinic is for you. 

Let us know about your case by submitting an abstract with the following information:

  • A few sentences project outline;
  • Type and amount of data;
  • Research question(s);
  • What type of analysis you’d like to perform? (if known).

We will set up a meeting with an expert in data analysis / network science / agent-based modelling. They will help you to query and wrangle your data, to analyse and visualise it and to guide you on the next steps. They may help you choose the right software or point you towards a study where similar problems have been solved. In a nutshell, they will save you a lot of time and frustration and make your research go further!


Main Organisers:
Dr Luce Prignano (Spain), Dr Iza Romanowska (Spain), Dr Sergi Lozano (Spain), Dr Francesca Fulminante (United Kingdom), Dr Rob Witcher (United Kingdom), Dr Tom Brughmans (United Kingdom).

Agent-based modelling meets R

In the world of computational archaeology the technical hurdle is a significant deterrent for many. I hear quite often fellow archaeologists complaining that ‘an ABM would really complement my research, but I cannot code in Python and don’t have the time to learn it’. Time needed to learn new software or programming language never seems to be there and many great ideas are put on the back burner indefinitely simply because they cannot be implemented in an environment one is already familiar with.

Now, thanks to our fellow blogger and complexity scientist Marco Smolla, you can learn how to build an agent-based model in one of the most popular scripting languages in archaeology: R!  Follow this link for a tutorial which will allow you to turn your data analysis environment into a simulation tool. Nice!