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2020 – today
- 2024
[c9]Anh-Ton Tran
, Annabel Rothschild, Kay Kender, Ekat Osipova, Brian Kinnee, Jordan Taylor, Louie Søs Meyer, Oliver L. Haimson, Ann Light, Carl DiSalvo:
Making Trouble: Techniques for Queering Data and AI Systems. Conference on Designing Interactive Systems (Companion Volume) 2024- [c8]Jordan Taylor, Ellen Simpson, Anh-Ton Tran, Jed R. Brubaker, Sarah E. Fox, Haiyi Zhu:
Cruising Queer HCI on the DL: A Literature Review of LGBTQ+ People in HCI. CHI 2024: 507:1-507:21 - [c7]Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Andrew Chan, Elora Lee Raymond, Carl DiSalvo:
Situating Datasets: Making Public Eviction Data Actionable for Housing Justice. CHI 2024: 767:1-767:16 - [i8]David Thulke, Yingbo Gao, Petrus Pelser, Rein Brune, Rricha Jalota, Floris Fok, Michael Ramos, Ian van Wyk, Abdallah Nasir, Hayden Goldstein, Taylor Tragemann, Katie Nguyen, Ariana Fowler, Andrew Stanco, Jon Gabriel, Jordan Taylor, Dean Moro, Evgenii Tsymbalov, Juliette de Waal, Evgeny Matusov, Mudar Yaghi, Mohammad Shihadah, Hermann Ney, Christian Dugast, Jonathan Dotan, Daniel Erasmus:
ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate Change. CoRR abs/2401.09646 (2024) - [i7]Jordan Taylor, Ellen Simpson, Anh-Ton Tran, Jed R. Brubaker, Sarah E. Fox, Haiyi Zhu:
Cruising Queer HCI on the DL: A Literature Review of LGBTQ+ People in HCI. CoRR abs/2402.07864 (2024) - [i6]Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Chan, Elora Raymond, Carl DiSalvo:
Situating Data Sets: Making Public Data Actionable for Housing Justice. CoRR abs/2402.12505 (2024) - [i5]Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill, Lee Sharkey:
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning. CoRR abs/2405.12241 (2024) - [i4]Leah Hope Ajmani, Jasmine C. Foriest, Jordan Taylor, Kyle Pittman, Sarah A. Gilbert, Michael A. DeVito:
Whose Knowledge is Valued?: Epistemic Injustice in CSCW Applications. CoRR abs/2407.03477 (2024) - [i3]Blakeley H. Payne, Jordan Taylor, Katta Spiel, Casey Fiesler:
Building Solidarity Amid Hostility: Experiences of Fat People in Online Communities. CoRR abs/2410.04614 (2024) - 2023
- [c6]Alexz Farrall, Jordan Taylor, Ben Ainsworth, Jason Alexander:
Manifesting Breath: Empirical Evidence for the Integration of Shape-changing Biofeedback-based Artefacts within Digital Mental Health Interventions. CHI 2023: 497:1-497:14 - [c5]Vikranth R. Bejjanki, Elizabeth Gaillard, Maya Taliaferro, Jordan Taylor:
Explicit strategies for sensorimotor learning depend on task complexity. CogSci 2023 - [c4]Jonathan Daniels, Hoi Kan, Casey Lew-Williams, Jordan Taylor:
Experience-Dependent Representational Change During Motor Skill Learning. CogSci 2023 - [c3]Blakeley H. Payne, Jordan Taylor, Katta Spiel, Casey Fiesler:
How to Ethically Engage Fat People in HCI Research. CSCW Companion 2023: 117-121 - [i2]Logan Stapleton, Jordan Taylor, Sarah E. Fox, Tongshuang Wu, Haiyi Zhu:
Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses. CoRR abs/2306.03097 (2023) - [i1]Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Bill Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang:
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. CoRR abs/2307.10168 (2023) - 2022
- [j2]Jordan Taylor, Adinawa Adjagbodjou:
DEI in computing: centering the margins. XRDS 28(4): 6-7 (2022) - [j1]Jordan Taylor:
Decoloniality in computing: an interview with Dipto Das. XRDS 28(4): 32-36 (2022)
2010 – 2019
- 2016
- [c2]Emily Hopkins, Deena Weisberg, Jordan Taylor:
Examining the specificity of the seductive allure effect. CogSci 2016 - 2015
- [c1]Jordan Taylor, Amr Ahmed:
Automated Screening of the Retinal Vascular Network for the Detection of Diabetic Retinopathy. MIUA 2015: 219-224
Coauthor Index
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last updated on 2024-11-13 23:51 CET by the dblp team
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