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ANTHROPOLOGI

Technology for Impact. 
Innovation for Humanity.
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ABOUT ANTHROPOLOGI.AI

ANTHROPOLOGI believes in harnessing the power of  advanced technology to solve the world’s most complex, stubborn social issues. We also believe that the social sciences should work hand-in-hand with technology.

From revolutionizing global education with our MASI platform to fixing systems for vulnerable communities, our work ensures technology serves humanity, not the other way around.

About
COMBINING...
Cultural Anthropology
AI / Machine Learning
Natural Language Processing
...to solve big social problems.

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ABOUT MASI

Consider this: 250 million children and young adults who lack access to any form of schooling at all, and an additional 600 million who struggle with basic literacy and numeracy skills despite being enrolled. Shockingly, the 250 million out of school numbers are projected to increase by 84 million by 2030 (SDG 4: Quality Education). Faced with such staggering figures, a unified global response is imperative. MASI, the Multilingual Adaptive School for Inclusion, aims to solve that problem and represents an exponential leap forward in educational technology, providing a global response to a global problem, but with local solutions.​

MASY

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Contribution 1: The core innovation of this project lies in its use of sophisticated applications of advanced machine learning to address the formidable challenges associated with advancing language translation technologies for low-resourced languages. These languages typically suffer from a lack of robust digital data, comprehensive dictionaries, and detailed linguistic analysis, which are essential for training effective translation models. By focusing on these underrepresented languages, the first contribution would push the boundaries of current natural language processing (NLP) technologies by developing innovative data collection methods, and pioneering advancement in sophisticated algorithmic techniques, to fundamentally transform the approach to these languages. The success of MASI would signify an exponential leap forward in NLP, driving unparalleled advancements in accuracy and contextual relevance in translations for low-resourced languages. Additionally, it would revolutionize AI's comprehension of human language in its diverse manifestations.

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MASI is a National Science Foundation project with two primary contributions:

Contribution 2: Language translation technologies and education technologies rarely engage in cross-field research and application development, yet it is clear that language translation capacity and educational access are very much entangled. This project aims to merge these two fields by developing a platform (the first ever AI-driven,  global, comprehensive K-12 school) that employs advanced language translation in an educational content delivery system. By doing so, the second contribution would exponentially increase accessibility to high-quality education across linguistic barriers, in regions where education in local languages is severely limited, if not completely absent. Phase 1 will explore two primary areas necessary for establishing feasibility: 1) due to the scarcity of digital data for low-resourced languages and the critical importance, we would focus on developing innovative: data collection methods, algorithm development, and curated data sets; and 2) because expanding techniques such as zero-resource language technologies, transfer learning, and synthetic linguistic datasets is crucial, we would prioritize advancing their development specifically for low-resourced languages.

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Technology

MASI'S TECHNOLOGY

Our Team

Sharon Sochil Washington, PHD

CEO, Principal Researcher

Dr. Washington is a Cultural Anthropologist, with a background in education anthropology, the anthropology of technology (AoT), and sociolinguistics.

Sharan Sklar

Financial Operations

Sharan has a proven track record of effective financial resource management, and a long history of overseeing accounting and financial management.

Javier Veloz Avellan 

Senior Project Manager

Javier is a senior level professional with broad experience encompassing project and change management.

Tracy Janda

Advisory Board Member

Tracy is dedicated to serving the community through nonprofit and socially conscious for-profit board service and other initiatives.

Contact

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CONTACT ANTHROPOLOGI

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 ANTHROPOLOGI // 3730 Kirby Dr., Ste 904 // Houston, TX 77098

 ANTHROPOLOGI // 2823 18th St., // San Francisco, CA 94110

© 2024 by ANTHROPOLOGI

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