Alex Gates

@complexgates.bsky.social

Assistant Professor of Data Science @UVA. Network Science, human behavior and the emergent constraints of the organizations and ecosystems we build.

1/ In 2024, I filed a false claims act lawsuit against Elsevier, Springer, Wiley & Informa alleging they systematically overcharged US federal grants for article processing. The gov declined to intervene and now it's public. Some thoughts on what this is, and what it isn't:

Who's up for a good old fashioned (but short, bc I'm tired) paper thread? Thrilled to be in this special issue of Gender & Society (an absolute dream!), where we propose a feminist-inspired extension of how to theorize and model the spread of ideas in science + journals.sagepub.com/doi/10.1177/...

What Gets Lost in Translation? Epistemic Tensions between Translation and Diffusion in Practice-Oriented Scholarship

Abstract
This paper proposes a feminist-informed metascience theory to explain the interconnected processes of idea creation, translation, and diffusion. Drawing on feminist critiques of science centered on perspective, power, and praxis, we develop a creation–diffusion model that jointly examines how ideas are created and then how the content of ideas influences their spread across academic fields. Using a nationally funded gender equity program as a case of a practice-oriented knowledge-production community, we analyze how gender equity research concepts were translated and diffused through the program-funded publications. We operationalize substantive engagement with gender equity research using word embeddings and Concept Mover’s Distance. Then, with additional contextual variables, we measure (1) the predictors of this engagement (ideas) and (2) the impact of engagement on citation counts and citation interdisciplinarity (the diffusion process) across social science and STEM fields. Our findings show that, in addition to context, the content of the idea matters for diffusion: Engagement with critical dimensions of gender equity research, such as feminism and structural concepts, diffused less often, whereas other dimensions, such as gender and methods, achieved broader uptake. Our empirical findings highlight the role of perspectives and epistemic power in shaping both knowledge production and diffusion. Our theoretical framework and methods demonstrate how metascience can incorporate feminist theory directly into diffusion studies, and why it should.
Mark Rubin@markrubin.bsky.social · 3w ago

Introduction to a special issue on feminist metascience and open science by Christin Munsch and @divreyes.bsky.social doi.org/10.1177/0891...

Abstract This introduction brings feminist scholarship into conversation with metascience and open science. Drawing on feminist epistemology, we argue scientific reform is not a neutral technical project. Rather, practices intended to improve rigor, transparency, and accessibility may also expose marginalized scholars and research participants to harm, reproduce inequality, and facilitate hostile scrutiny, particularly in the current political environment. These tensions point to the need for feminist metascience and feminist open science. We define feminist metascience as the study of how gender and intersecting relations of power shape the production, evaluation, circulation, and correction of scientific knowledge, and we define feminist open science as an approach to transparency that remains attentive to care, protection, and risk. We offer these definitions and the articles in this special issue as a starting point for larger conversations about how feminist scholarship might contribute to emerging debates over scientific reform.

Good news everyone! 🎉 The new version 3.0 of graph-tool is just out with major improvements! See below. graph-tool.skewed.de graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N

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Had a small part of this that I am pretty proud of: Full push-button reproducible manuscripts from data to manuscript. Nearly every stat, figure, number, table, etc is pulled directly from analysis code and data and "knit" with manuscript text written in Google Docs. Blog post coming soon ...

Center for Open Science@cos.io · 4mo ago

Today, the SCORE program releases its primary results! 865 researchers examined research credibility across the social and behavioral sciences, publishing three papers in Nature + five preprints. 📑 Explore the papers: www.nature.com/colle... ℹ️ Read more about SCORE: www.cos.io/score

Grant Witness is hiring! We're seeking a full-time data scientist to join our team building data resources to support journalism, litigation, and activism protecting science, public health, and the rule of law. grant-witness.us/apply.html #rstats

Job Opening: Data Scientist – Grant Witness

Grant Witness seeks a data scientist for a full-time position on our team tracking changes to U.S. federal grantmaking. We are also hiring for part-time/contract positions. Join us!

grant-witness.us

Hello all! I’m recruiting a postdoc to work with my lab and I on methods for analyzing intensive longitudinal timeseries of psychological phenomena, with particular focus on measurement and optimization of interventions! Start would be August 2026

Research Associate in Psychology in Charlottesville, Virginia, United States of America | Research at University of Virginia

Apply for Research Associate in Psychology job with University of Virginia in Charlottesville, Virginia, United States of America. Research at University of Virginia

jobs.virginia.edu

🚀 We're pleased to open the call for Champions and Mentors for the rOpenSci Champions Program 2026-2027, a 12-month journey in open science, research software, and community building. 🌎 This year's cohort will be run in Spanish and focused on Latin America More info at ropensci.org/blog/2026/01...

Open call for the rOpenSci Champions Program 2026!

You can now apply to participate in the 2026 Champions Program. We are looking for people to participate in mentoring roles and to become Champions.

ropensci.org

Another joint keynote at NetSci 2026 is official! 𝗔𝗹𝗯𝗲𝗿𝘁-𝗟𝗮́𝘀𝘇𝗹𝗼́ 𝗕𝗮𝗿𝗮𝗯𝗮́𝘀𝗶 and 𝗥𝗲́𝗸𝗮 𝗔𝗹𝗯𝗲𝗿𝘁 reunite on stage for a one-of-a-kind talk. Their discovery of scale-free networks and the Barabási–Albert model reshaped network science. We can’t wait to welcome you! @barabasi.bsky.social tinyurl.com/4t5p46yr

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