This paper presents an analysis of data derived from thousands of publicly available photographs showing life on the International Space Station (ISS) between 2000 and 2020. Our analysis uses crew and locational information from the photographs’ metadata to identify the distribution of different population groups—by gender, nationality, and spa…[Read more]

This paper presents an analysis of data derived from thousands of publicly available photographs showing life on the International Space Station (ISS) between 2000 and 2020. Our analysis uses crew and locational information from the photographs’ metadata to identify the distribution of different population groups—by gender, nationality, and spa…[Read more]

This paper presents an analysis of data derived from thousands of publicly available photographs showing life on the International Space Station (ISS) between 2000 and 2020. Our analysis uses crew and locational information from the photographs’ metadata to identify the distribution of different population groups—by gender, nationality, and spa…[Read more]

This paper presents an analysis of data derived from thousands of publicly available photographs showing life on the International Space Station (ISS) between 2000 and 2020. Our analysis uses crew and locational information from the photographs’ metadata to identify the distribution of different population groups—by gender, nationality, and spa…[Read more]

This paper presents an analysis of data derived from thousands of publicly available photographs showing life on the International Space Station (ISS) between 2000 and 2020. Our analysis uses crew and locational information from the photographs’ metadata to identify the distribution of different population groups—by gender, nationality, and spa…[Read more]

We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy,…[Read more]

We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy,…[Read more]

We develop and apply a deep learning-based computer vision pipeline to automatically identify crew members in archival photographic imagery taken on-board the International Space Station. Our approach is able to quickly tag thousands of images from public and private photo repositories without human supervision with high degrees of accuracy,…[Read more]

We offer an archaeological analysis of the visual display of “space heroes” and Orthodox icons in the Russian Zvezda module of the International Space Station (ISS). This study is the first systematic investigation of material culture at a site in space. The ISS has now been continuously inhabited for 20 years. Here, focusing on the period 200…[Read more]

We offer an archaeological analysis of the visual display of “space heroes” and Orthodox icons in the Russian Zvezda module of the International Space Station (ISS). This study is the first systematic investigation of material culture at a site in space. The ISS has now been continuously inhabited for 20 years. Here, focusing on the period 200…[Read more]

We offer an archaeological analysis of the visual display of “space heroes” and Orthodox icons in the Russian Zvezda module of the International Space Station (ISS). This study is the first systematic investigation of material culture at a site in space. The ISS has now been continuously inhabited for 20 years. Here, focusing on the period 200…[Read more]

The aim of space archaeology is to understand the interaction of technology and human behaviour in off-Earth environments. This paper presents the methodology and results of the first archaeological study focused on human habitation in outer space. The International Space Station (ISS) is the only extant, continuously-occupied location in space,…[Read more]

The aim of space archaeology is to understand the interaction of technology and human behaviour in off-Earth environments. This paper presents the methodology and results of the first archaeological study focused on human habitation in outer space. The International Space Station (ISS) is the only extant, continuously-occupied location in space,…[Read more]

Space archaeology is defined as the study of “the material culture relevant to space exploration that is found on Earth and in outer space (i.e., exoatmospheric material) and that is clearly the result of human behavior” (Gorman & O’Leary 2013: 409). The aim of space archaeology is to understand the interaction of technology and human behav…[Read more]

Space archaeology is defined as the study of “the material culture relevant to space exploration that is found on Earth and in outer space (i.e., exoatmospheric material) and that is clearly the result of human behavior” (Gorman & O’Leary 2013: 409). The aim of space archaeology is to understand the interaction of technology and human behav…[Read more]