I can help you clean, visualize, and analyze your data or teach you how to do this work on your own!
Quantitative and qualitative data gathering, cleaning and reshaping. Nuanced handling of missing data.
Exploratory data analysis, statistical, network, and natural language analysis. Data visualization.
Math, data analysis & data visualization instructor with 20 years of experience with novice to advanced learners.
Praise for new book
This is the textbook that I wish I had had. I can’t think of a comparable work that weaves such an engaging historical case study together with such a breadth of methodological material, whether applied statistics, computational methods, or source bias. A must read. (Ian Milligan, Associate Vice-President, Research Oversight and Analysis, University of Waterloo)
It teaches us about how to ethically account for silences in the archive, how to intentionally approach the production of history, and how to creatively imagine what the future of digital humanities research can be. (Lauren Klein, Winship Distinguished Research Professor; Director of the Digital Humanities Lab at Emory University)
Applied Stats Course
Dr. Sanders teaches with mastery and empathy. I am not a coder and I was scared coming into this class, but I learned SO much about conducting research, analyzing data, and presenting that data as part of a comprehensible narrative. (Graduate Student, UCLA, Winter 2021)
Intro to Data Analysis Student Evaluation
The hands-on assignments for data cleaning and data visualization with Tableau, as well as the group note document were most helpful. I also think the community free response questions allow us to think critically about a topic and see how our classmates interpreted it as well. (Undergraduate student, UCLA, Summer 2022)
Intro to Data Analysis Student Evaluation 2
Professor Sanders has a knack for integrating different perspectives into her explanations of very complex issues. I learned a lot about how to think more critically about data, narratives, and sources. Professor Sander’s presentations were always very in-depth and well-structured. (Undergraduate student, UCLA, Fall 2020)
Ashley R. Sanders is a multidisciplinary research scientist. She is currently Vice Chair of the Digital Humanities Program at UCLA. She holds a Ph.D. in History with a specialization in Digital Humanities and a B.S. in Mathematics and History. Her research employs both archival research and computational methods to explore issues of gender, religion, indigeneity, and kinship.
Her first book, Visualizing History’s Fragments: A Computational Approach to Humanistic Research will be available spring 2024 from Palgrave Macmillan Press. Additional publications include “Silent No More: Women as Significant Political Intermediaries in Ottoman Algeria” (Current Research in Digital History, 2020), “Building a DIY Community of Practice,” in People, Practice, Power: Digital Humanities outside the Center (December 2021), and a maturity framework for DH centers.
Ashley has also been awarded $250,000 funding as part of the National Endowment for the Humanities’ Institutes for Advanced Topics in the Digital Humanities Program (2023) in collaboration with Co-PI, Jessica Otis (George Mason University) for their project entitled, “The Mathematical Humanists.” The grant will fund a series of in-person, online, and asynchronous professional development workshops to be hosted by George Mason University and the University of California, Los Angeles, on statistics, graphs and networks, linear algebra, and discrete mathematics methods that inform computational humanities methodologies such as network analysis, and text mining and analysis.