Workshop 1: Intro to Bayesian Statistics
This workshop will provide a gentle introduction to the core principles of Bayesian inference and probabilistic programming languages. The objective is to gain key insights on what makes this inferential paradigm different from more common frequentist approaches, as well as highlight unique challenges and opportunities offered by Bayesian methods. In the practical session, we will be analysing a simple case study using the R statistical programming language. Attendees are expected to have some basic familiarity with R and basic inferential statistics (e.g. Chi-squared test, binomial test, etc.).
Workshop 2: Intro to Arches
Arches is an open-source data management platform that is freely available for organisations worldwide to install, configure, and extend in accordance with their individual needs and without restrictions on its use. Arches has been adapted to support documentation of historic environments, heritage science data and reference and sample collections. This workshop will provide a comprehensive overview of Arches as it relates to the management of historic environments, including a dive into the forthcoming vocabulary and thesauri management platform Lingo from Philip Carlisle (Historic England). Two projects based at the McDonald Institute for Archaeological Research, Cambridge – Mapping Archaeological Heritage in South Asia (MAHSA) and Mapping Africa’s Endangered Archaeological Sites and Monuments (MAEASaM) – will also demonstrate their implementations of Arches for managing data on archaeological heritage.