プロフィール詳細

プロジェクトを作成

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Dakota M.に依頼

United States

Computational social scienitst and expert in data analysis and visualization using R

プロフィール概要

I am a computational social scientist who specializes in investigating the human side of science and innovation. In the process often make use of massive datasets, computational techniques, and social theory. I am always looking for interesting opportunities to apply my skills to new data and learn something new.

専門分野

• ★ Data Science
• ☆ Data Analysis
• ☆ Data Visualization
• ☆ Data Cleaning
• ☆ Social Science & Humanities

サービス

• Writing
• Research
• Data & AI

Writing Technical Writing, Copywriting, Newswriting

Research Market Research

Data & AI Statistical Analysis, Data Visualization, Big Data Analytics, Data Processing, Data Insights

職務経験

Postdoctoral Associate

Northeastern University

9月 2021 - 現在

学歴

PhD Student (Informatics)

Indiana University Bloomington

8月 2016 - 8月 2021

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Dakota Murray, Clara Boothby, Anna Polovick Waggy, Andrew Tsou, Cassidy R. Sugimoto(2021). Credibility of scientific information on social media: Variation by platform, genre and presence of formal credibility cues . Quantitative Science Studies. 2. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 845--863. {MIT} Press - Journals

Dakota Murray, Federica Maria Origo, Clara Boothby, Huimeng Zhao, Vanessa Minik, Nicolas Bérubé, Vincent Larivière, Cassidy R. Sugimoto (2020). Exploring the personal and professional factors associated with student evaluations of tenure-track faculty . PLOS ONE.

Dakota Murray, Nicolás Robinson-García, Cassidy R. Sugimoto, Alfredo Yegros-Yegros, Vincent Larivière, Rodrigo Costas(2018). Scientific mobility indicators in practice: International mobility profiles at the country level . El Profesional de la Información. 27. (3). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 511. Ediciones Profesionales de la Informacion {SL}

Cassidy R. Sugimoto, Nicolas Robinson-Garcia, Dakota S. Murray, Alfredo Yegros-Yegros, Rodrigo Costas, Vincent Larivière(2017). Scientists have most impact when they're free to move . Nature. 550. (7674). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 29--31. Springer Nature

Bu, Yi and Ding, Ying and Liang, Xingkun and Murray, Dakota S. Understanding persistent scientific collaboration . Journal of the Association for Information Science and Technology. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString n/a--n/a.

PREPRINT

Dakota Murray, Clara Boothby, Anna Polovick Waggy, Andrew Tsou, Cassidy R. Sugimoto(2020). Credibility of Scientific Information on Social Media: Variation by Platform and Presence of Formal Credibility Cues . Center for Open Science

Dakota Murray, Jacqueline Brown, Kyle Furlong, Emily Coco, Fabian Dablander (2020). A Breeding Pool of Ideas: Analyzing Interdisciplinary Collaborations at the Complex Systems Summer School .

Dakota Murray, Clara Boothby, Huimeng Zhao, Vanessa Minik, Nicolas Bérubé, Vincent Larivière, Cassidy R. Sugimoto (2019). Exploring the personal and professional factors associatedwith student evaluations of tenure-track faculty .

Dakota Murray, Kyle Siler, Vincent Larivière, Wei Mun Chan, Andrew M. Collings, Jennifer Raymond, Cassidy R. Sugimoto(2018). Author-Reviewer Homophily in Peer Review . Cold Spring Harbor Laboratory

CONFERENCE PAPER

Das, Sanchari and Goard, Javon and Murray, Dakota(2017). How Celebrities Feed Tweeples with Personal and Promotional Tweets: Celebrity Twitter Use and Audience Engagement . Proceedings of the 8th International Conference on Social Media & Society. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 30:1--30:5. ACM