Jon Clindaniel
Datos Biográficos
| ID | 370042 |
|---|---|
| NOMBRE | Jon Clindaniel |
| NOMBRES | Jon |
| APELLIDO | Clindaniel |
| FIRMA | CLINDANIEL J |
| AFILIACIONES | University of Chicago |
| ORCID | 0000-0003-3947-3895 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAS | 19 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 2 |
Artificial Intelligence and the Interpretation of the Past
Artificial intelligence is reshaping the contemporary world. Trickling deeper into archaeology and history, these technological changes will influence how the past is written about and visualized. Through the evaluation of text and images generated using AI, this article considers the systemic biases present in reconstructed archaeological scenes. We draw on advances in computer science, running large-scale, computational analyses to evaluate pat…
A New Naming Convention for Andean Khipus
Since the 1970s, hundreds of khipus-Andean knotted-string recording devices-have been named after academic researchers. This practice disassociates individual khipus from their places of origin and reifies scientific inequity. Here, a new convention of the form KH#### (e.g., KH0125) is proposed, which we believe represents a more neutral, direct, and accurate nomenclature. The change is implemented in the Open Khipu Repository (OKR), the largest …
Artificial Intelligence and Archaeological Illustration
The reconstruction and representation of ancient artifacts and scenes through illustration is a cornerstone in the communication of archaeological findings. Sketches of the past have transformed over time, incorporating broader technological changes, from photography to the digital tools that have become prevalent through the twenty-first century. Most recently, developments in generative artificial intelligence (AI) promise to reshape the way we…
Digital formation processes
Material Culture Studies in the Age of Big Data
This manuscript presents a novel approach to the study of contemporary material culture using digital data. Scholars interested in the materiality of past and contemporary societies have been limited to information derived from assemblages of excavated, collected, or physically observed materials; they have yet to take full advantage of large or complex digital datasets afforded by the internet. To demonstrate the power of this approach and its p…
Evaluating claims for an early peopling of the Americas
Experimental futures in archaeology
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
Evaluating claims for an early peopling of the Americas
Experimental futures in archaeology
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
A New Naming Convention for Andean Khipus
Since the 1970s, hundreds of khipus-Andean knotted-string recording devices-have been named after academic researchers. This practice disassociates individual khipus from their places of origin and reifies scientific inequity. Here, a new convention of the form KH#### (e.g., KH0125) is proposed, which we believe represents a more neutral, direct, and accurate nomenclature. The change is implemented in the Open Khipu Repository (OKR), the largest …
Digital formation processes
Material Culture Studies in the Age of Big Data
This manuscript presents a novel approach to the study of contemporary material culture using digital data. Scholars interested in the materiality of past and contemporary societies have been limited to information derived from assemblages of excavated, collected, or physically observed materials; they have yet to take full advantage of large or complex digital datasets afforded by the internet. To demonstrate the power of this approach and its p…
Evaluating claims for an early peopling of the Americas
Experimental futures in archaeology
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content
Material Culture Studies in the Age of Big Data
This manuscript presents a novel approach to the study of contemporary material culture using digital data. Scholars interested in the materiality of past and contemporary societies have been limited to information derived from assemblages of excavated, collected, or physically observed materials; they have yet to take full advantage of large or complex digital datasets afforded by the internet. To demonstrate the power of this approach and its p…
Artificial Intelligence and Archaeological Illustration
The reconstruction and representation of ancient artifacts and scenes through illustration is a cornerstone in the communication of archaeological findings. Sketches of the past have transformed over time, incorporating broader technological changes, from photography to the digital tools that have become prevalent through the twenty-first century. Most recently, developments in generative artificial intelligence (AI) promise to reshape the way we…
Digital formation processes
A New Naming Convention for Andean Khipus
Since the 1970s, hundreds of khipus-Andean knotted-string recording devices-have been named after academic researchers. This practice disassociates individual khipus from their places of origin and reifies scientific inequity. Here, a new convention of the form KH#### (e.g., KH0125) is proposed, which we believe represents a more neutral, direct, and accurate nomenclature. The change is implemented in the Open Khipu Repository (OKR), the largest …
Artificial Intelligence and the Interpretation of the Past
Artificial intelligence is reshaping the contemporary world. Trickling deeper into archaeology and history, these technological changes will influence how the past is written about and visualized. Through the evaluation of text and images generated using AI, this article considers the systemic biases present in reconstructed archaeological scenes. We draw on advances in computer science, running large-scale, computational analyses to evaluate pat…
History (5 obras) · Archaeology (4 obras) · History (4 obras) · Archaeology and ancient environmental studies (3 obras) · Computer Science (3 obras) · Geography (3 obras) · Pleistocene-Era Hominins and Archaeology (3 obras) · Archaeological Research and Protection (2 obras) · Art (2 obras) · Artificial Intelligence (2 obras)