The Taliban Sources Project - Incite at Columbia University

Completed Project

The Taliban Sources Project

  • Team Anand Gopal Alex Strick van Linschoten Felix Kuehn
  • Funded by Thesigers

The Taliban Sources Project was a joint effort by Anand Gopal, Alex Strick van Linschoten, and Felix Kuehn to collate, digitise and translate primary source documents associated with the Afghan Taliban movement.

In 2017, the three researchers released the article “Ideology in the Afghan Taliban” that examined the documents and concluded that the Afghan Taliban’s ideology is a) the result of a sophisticated internal logic that has changed in subtle but important ways over the years, b) the origins of the Taliban’s ideology lie in the southern Pashtun village, not the Pakistani refugee camp, and 3) their thinking is heavily infused with Sufism.

Incite provided administrative support to Gopal through a two-year grant from Thesigers.

Related Works

More Projects

  • go to Landscapes of Ruination: Participatory and Community Stewardship of Industrial Heritage
    Landscapes of Ruination: Participatory and Community Stewardship of Industrial Heritage
    Working with former miners, local leaders, women's organizations, academics, and city officials, the project builds a model for heritage management that can be replicated anywhere. Part of the Global Change Program
  • go to Mellon Interdisciplinary Fellows
    Mellon Interdisciplinary Fellows
    Bringing together over 200 graduate students in interdisciplinary training across the humanities and sciences. Funded by the Andrew W. Mellon Foundation
  • go to Sojourners for Justice Press
    Sojourners for Justice Press
    Connecting emerging and established Black publishers with alternative techniques, networks, and knowledge production—as well as each other. Part of Assembling Voices
  • go to Reclaiming Lost Data on American Racial Inequality
    Reclaiming Lost Data on American Racial Inequality
    Producing a big-data genealogy of the African-American past by combining algorithmic linking techniques with historical and genealogical methods. Funded by the Russell Sage Foundation