@article{d17026ce911e4a3faa5acbaf06924a2b,
title = "Identification in a time of invisibility for American Indians and Alaska Natives in the United States",
abstract = "This paper contains an examination of how we identify and describe American Indians and Alaska Natives (AIAN) people, present what we know and discuss how we can develop measures to better improve policies and programs that affect the AIAN people and improve their lives. Specifically, this paper consists what we know about health and socio-demographic characteristics profiles and discussions of current and emerging issues. This paper was written almost entirely by Indigenous people and is an attempt to present research by us, rather than for us or to us.",
keywords = "American Indian Alaska Native, Indigenous, identification, invisibility, statistics",
author = "Michele Connolly and Mehgan Gallagher and Felicia Hodge and Mary Cwik and Victoria O'Keefe and Bette Jacobs and Amy Adler",
note = "Funding Information: Although the AIAN people are the original Americans, their small numbers and the geographic isolation of Reservations and Tribal lands contribute to an invisibility that serves as a major obstacle for almost every issue. Michael Bird, the first AIAN president of the American Public Health Association, recently said this [5]: “. . . the knowledge of Indian history among most non-native people in this country is next to nil. For those building policies, it{\textquoteright}s really important to listen. I would say the major challenge is that, to the American public, Indian people are invisible. They don{\textquoteright}t see us, they don{\textquoteright}t think about us, and they don{\textquoteright}t know the history.” His words are backed up by a recent survey from the Reclaiming Native Truth project, funded by the Kellogg Foundation, which found that 40 percent of Americans thought that AIAN people no longer exist [6]. Clearly, education is required. Publisher Copyright: {\textcopyright} 2019 - IOS Press and the authors. All rights reserved. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",
year = "2019",
doi = "10.3233/SJI-190495",
language = "English (US)",
volume = "35",
pages = "71--89",
journal = "Statistical Journal of the IAOS",
issn = "1874-7655",
publisher = "IOS Press",
number = "1",
}