HomeEncoding Data for Digital Collaboration (ASOR 2016)
Published on Monday, February 15, 2016
Abstract
Data encoding entails an analog-to-digital conversion in which the characteristics of an object, text, or archaeological site can be represented in a specialized format for computer handling. Once encoded, data can be stored, sorted, and analyzed through a variety of computer-based techniques ranging from specialized data-mining algorithms to user-friendly mobile apps. Especially when encoded data is open-source, researchers around the world can collaborate on the collection, encoding, and analysis of data.
Announcement
Session description
Data encoding entails an analog-to-digital conversion in which the characteristics of an object, text, or archaeological site can be represented in a specialized format for computer handling. Once encoded, data can be stored, sorted, and analyzed through a variety of computer-based techniques ranging from specialized data-mining algorithms to user-friendly mobile apps. Especially when encoded data is open-source, researchers around the world can collaborate on the collection, encoding, and analysis of data. A single encoded corpus could be analyzed concurrently by multiple projects, and encoded data can be linked across corpuses to facilitate broader, potentially interdisciplinary, studies. Crowdsourcing may also be employed to gather and annotate more data than the members of a research team, themselves, could pursue. This session offers a venue for the presentation of methodologies, projects, and discoveries based on encoding or encoded data. We aim to describe and demonstrate a wide spectrum of research that might include studies of stratigraphy, object typologies, provenance, cultural heritage, lexical databases, and prosopography. Ultimately this session aims to demonstrate the value of encoded data and digital collaboration as powerful resources for revealing otherwise imperceptible information about the ancient Near East.
Submission guidelines
We invite you to submit an abstract for our new 2016 ASOR session, “Encoding Data for Digital Collaboration” (session description below). This year ASOR will be held in San Antonio, Texas, November 16-19. Abstracts (250 words or less) must be submitted electronically
by February 15th:
http://asor.conference-services.net/authorlogin.asp?conferenceID=4981&language=en-uk
Note that ASOR membership and conference registration are required at the time of abstract submission: http://www.asor.org/am/2016/registration.html
For European student registration: if these fees present an obstacle, please be in touch with one of us.
Co-chair
- Amy Gansell, PhD
Assistant Professor of Art History
St. John's University (Queens, New York)
https://stjohns.academia.edu/AmyRebeccaGansell
- Vanessa Juloux
Ph.D candidate at the Ecole Pratique des Hautes Etudes (EPHE, UMR 8167, France)
Data coordinator & digital humanities monitoring (EPHE)
https://ephe.academia.edu/VanessaJuloux
Subjects
- Ethnology, anthropology (Main category)
- Zones and regions > Asia > Middle East
- Society > Sociology > Gender studies
- Mind and language > Information > Electronic publishing
- Periods > Prehistory and Antiquity > Eastern world
- Mind and language > Epistemology and methodology > Methods of processing and representation
- Mind and language > Epistemology and methodology > Corpus approaches, surveys, archives
- Mind and language > Epistemology and methodology > Digital humanities
Places
- La Cantera Hill Country Resort
San Antonio, America
Date(s)
- Monday, February 15, 2016
Keywords
- xml-tei, digital collaboration, crowdsoursing, Mésopotamie, assyriology, assyriologie, Ougarit, Ugarit, cuneiform, cunéiforme, ontology, ontologie, prosopography, prosoprographie
Contact(s)
- Vanessa Juloux
courriel : vanessa [dot] juloux [at] ephe [dot] sorbonne [dot] fr - Amy Gansell
courriel : gansella [at] stjohns [dot] edu
Reference Urls
Information source
- Vanessa Juloux
courriel : vanessa [dot] juloux [at] ephe [dot] sorbonne [dot] fr
License
This announcement is licensed under the terms of Creative Commons CC0 1.0 Universal.
To cite this announcement
« Encoding Data for Digital Collaboration (ASOR 2016) », Call for papers, Calenda, Published on Monday, February 15, 2016, https://calenda.org/355834