Foundations of Digital Arch{\ae}oludology

Digital Archaeoludology (DAL) is a new field of study involving the analysis and reconstruction of ancient games from incomplete descriptions and archaeological evidence using modern computational techniques. The aim is to provide digital tools and methods to help game historians and other researchers better understand traditional games, their development throughout recorded human history, and their relationship to the development of human culture and mathematical knowledge. This work is being explored in the ERC-funded Digital Ludeme Project. The aim of this inaugural international research meeting on DAL is to gather together leading experts in relevant disciplines - computer science, artificial intelligence, machine learning, computational phylogenetics, mathematics, history, archaeology, anthropology, etc. - to discuss the key themes and establish the foundations for this new field of research, so that it may continue beyond the lifetime of its initiating project.Comment: Report on Dagstuhl Research Meeting. Authored/edited by all participants. Appendices by Thierry Depauli

Foundations of Digital Archæoludology

Digital Archaeoludology (DAL) is a new field of study involving the analysis and reconstruction of ancient games from incomplete descriptions and archaeological evidence using modern computational techniques. The aim is to provide digital tools and methods to help game historians and other researchers better understand traditional games, their development throughout recorded human history, and their relationship to the development of human culture and mathematical knowledge. This work is being explored in the ERC-funded Digital Ludeme Project. The aim of this inaugural international research meeting on DAL is to gather together leading experts in relevant disciplines - computer science, artificial intelligence, machine learning, computational phylogenetics, mathematics, history, archaeology, anthropology, etc. - to discuss the key themes and establish the foundations for this new field of research, so that it may continue beyond the lifetime of its initiating project

Lindbergh-LaVista Corridor Coalition

Well before the Blueprints process began over four months ago two things were very apparent about the Lindbergh‐LaVista Corridor Coalition (LLCC) study area. First, due to the presence of neighborhood associations for Lindridge‐Martin Manor, LaVista Park and Woodland Hills it was known there were strong individual neighborhoods in the study area. This meant there were people willing to work to preserve and improve the places they live, work, play, and worship. Second, with the formation of the larger LLCC it was clear that there were common issues and visions among the three. Chief among these issues are the pressures of increased development entering the area. This subsequently conflicts with a shared vision of preserving the area's existing single‐family, leafy neighborhood character while still creating a better defined and recognizable image with outsiders. Embarking on the Blueprints process marks the realization by the neighborhoods of the LLCC that impending development is an opportunity more than it is a challenge. Preparing and clarifying the vision for the area will maximize the potential of the area and make a difference as development comes to the table. Initially, we held a stakeholders meeting in order to acquire information about the assets and challenges of the community. To fully grasp these assets and challenges, we presented our existing conditions findings to the stakeholders in a second meeting, based on four overarching sections: housing & demographics, urban design, transportation, and the environment. Once we had a firm grasp of existing conditions, we began to formulate ideas on how to enhance the community. We presented these ideas at a third stakeholder meeting where we were again able to get community feedback on our suggestions. The fourth and final stakeholder meeting was our opportunity to present the final recommendations for the LLCC and to get final input from the community for our report. We have split our recommendations into Nodes, Corridors, and Environment, three sections that continue to stand out as key areas of interest