Description

Today our guest is Dr. Jeff Turner. Jeff, I’m going to share what I’ve prepared about you and then you’re welcome to fill in the gaps. So Jeff received his PhD in US history from the University of Utah. His expertise lies in digital humanities, American religious history, and migration. And his research traces the ways migration and immigration inspectors and policymakers construct religion at the US border in the late 19th century and early 20th centuries.

Professor Turner’s digital work spans a variety of digital humanities methods. He entered DH along with Grassroots Graduate Student Group at the University of Utah, who taught themselves to topic model and published an article together.

His subsequent experience came from wanting to understand the relationship between critical theory, and project building, and also a desire to pay the rent. So you’re very practical. He’s worked on public humanities projects such as the Century of Black Mormons, Native Places Atlas, and the Wilford Woodruff Papers Project. And he works in Python, JavaScript, HTML, CSS, and a little bit of R in SQL.

Season: 5

Episode: 1

Date: 3/2025

Presenter: Jeffrey Turner

Topic: Religion at the American Boarder, early twentieth century

Tags: OCR; Machine Learning; History; Digital Humanities

The post  ADHC Talks Podcast: A Conversation with Jeff Turner (5.1) appeared first on Alabama Digital Humanities Center.

Wir freuen uns sehr auf den gemeinsamem Hackathon zu mittelhochdeutschen Texten und LLMs mit dem DFG-Netzwerk Offenes Mittelalter und laden zu einem ersten Treffen am kommenden Montag, den 05.02.2024 von 14.00-19.00 Uhr ein. Wir...

Im Rahmen des DH-Kolloquiums an der BBAW laden wir Sie herzlich zum nächsten Termin am Montag, den 30. Oktober 2023, 16 Uhr c.t., ein (virtueller Raum: https://meet.gwdg.de/b/lou-eyn-nm6-t6b):

Dr. Andreas Vogel (Founding Director Legacy Page Ltd.)

While many have the desire to create a personal or professional legacy in form of memoirs, few follow through with it. According to our research, the obstacles include lack of writing, production and other technical skills for capturing memoirs and the lack of a suitable platform for storing and connecting memoirs.

LEGACY is a project dedicated to capturing, semantically connecting and preserving memoirs forever by means of digital technology and business model and governance innovations. Digital technology, specifically Web 3 technology and Artificial Intelligence (AI) offer new means for capturing and preserving memoirs.

Generative A.I. –

providing an interactive AI solution to interview people and auto-generate high-quality memoirs, just like what a ghostwriter would do, but with infinite customizability and scalability.

Web 3 –

providing access control and secure encryption of memoirs, minting ownership certificates (in the form of NFTs) with appropriate licensing terms, and linking them to an author’s decentralized self-sovereign identity.

Business Model Innovation-

striving to preserve memoirs “forever” based on an easy to understand pay-once-store-forever pricing model, and long-term perpetual, self-renewing decentralized storage contracts.

Machine Learning –

using machine learning to semantically connect memoirs in a weighted graph, creating a unique collaborative history from individual memoirs.

Governance –

LEGACY requires a governance model which allows it to operate for a very long time while  reserving its mission and culture. We have combined the learnings from long lasting foundations, academies and religious organizations with the Web 3 concept of Decentralized Autonomous Organisations (DAO) for creating a digital governance model for LEGACY.

 

The Early Modern History Research Group at KU Leuven is accepting applications for a postdoctoral position on the European Research Council funded project “Regionalizing Infrastructures in Chinese History.” This project examines how large-scale infrastructures such as roads, city walls, and bridges contributed to regional and empire-wide integration, but equally why and how processes of integration regularly broke down, and how large-scale infrastructure projects contributed to countervailing trends including local tensions, local autonomy, and cross-border regional formations.

The postdoctoral fellow will be mainly responsible for 1) developing named entity recognition for infrastructure in Chinese archaeological reports and historical documents; 2) collaborating with a developer and international partners on the further development of the MARKUS platform , esp. a module for machine learning; 3) (co-)authoring articles on machine learning for NER and platform development ; 4) coordinating research and development with other team members.

Profile of the ideal candidate:

• PhD in the field of computer science, digital archaeology, digital humanities, or related field
• demonstrable advanced knowledge of NLP, machine learning methods, including neural networks
• an interest in archaeological and historical research
• a cooperative attitude and willingness to engage in collaborative research
• good communication skills in English
• Chinese language ability is a plus but not required

The deadline to apply for this position is 31 May 2022. Interviews will take place in August 2022. The starting date for this position is 1 October 2022 (exact date negotiable). For a more detailed description of the vacancy, the desired qualifications and skills, and the application procedure see the full vacancy text.