Sean Tallman

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Assistant Professor

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United States

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Sean Tallman is an Assistant Professor at Boston University, specializing in forensic anthropology. His research areas include the incorporation of diverse gender identities in anthropological casework, the effects of cancer on age estimation, and the ethical considerations in forensic science. He has contributed to recent articles addressing issues such as intimate partner violence, sex estimation using 3D modeling, and the advocacy role of forensic anthropology. Located in the United States, he actively engages in discussions on redefining ethical frameworks within the discipline.

Recent Grants

Grant: Close

Assessing the Effects of Disadvantage and Ancestry in Skeletal Health and Forensic Medicine

Open Date: 2024-01-01

Close Date: 2024-12-01

Grant: Close

The Evaluation and Refinement of Nonmetric Sex and Ancestry Assessment Methods in Japanese and Thai Individuals

Open Date: 2015-01-01

Close Date: 2016-01-01

Grant: Close

EAPSI: Improving Identifications for Japanese Individuals in Forensic Contexts

Open Date: 2014-01-01

Close Date: 2015-01-01

Articles (16)

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Research Article on Advanced Machine Learning Applications

Year:

2024

Collaborators (8)

John Doe

Professor of Computer Science

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GLOBAL

John Doe

Professor of Computer Science

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GLOBAL

John Doe

Professor of Computer Science

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GLOBAL

John Doe

Professor of Computer Science

University Name

GLOBAL

John Doe

Professor of Computer Science

University Name

GLOBAL

John Doe

Professor of Computer Science

University Name

GLOBAL

John Doe

Professor of Computer Science

University Name

GLOBAL

John Doe

Professor of Computer Science

University Name

GLOBAL
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