@inproceedings{caa8f644c2d947799cad7c9507e04d98,
title = "CHI-nnabis: Implications of marijuana legalization for and from human-computer interaction",
abstract = "The consumption of cannabis has substantial implications for medicine, popular culture, and technology use, yet discussion of it is almost entirely absent in the HCI literature. Taking advantage of CHI 2017's location in one of the first jurisdictions to legalize recreational use of marijuana in the U.S., this panel will discuss its socio-technical implications, identify HCI research themes relevant to policy and public health debates, and outline a research agenda.",
keywords = "Cannabis, Drug policy, Legalization, Marijuana",
author = "Keegan, {Brian C.} and Jofish Kaye and Patricia Cavazos-Rehg and {De Choudhury}, Munmun and Nguyen, {Anh Ngoc} and Paul, {Michael J.} and Saiph Savage",
note = "Publisher Copyright: Copyright {\textcopyright} 2017 by the Association for Computing Machinery, Inc. (ACM).; 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 ; Conference date: 06-05-2017 Through 11-05-2017",
year = "2017",
month = may,
day = "6",
doi = "10.1145/3027063.3051139",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "1312--1317",
booktitle = "CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems",
}