Skip to content
#small language model Open access

From Enforcement to Infrastructure: A Milestone-Based Model for Sustaining Racial Equity Work in Professional Associations Under Regressive Policy Environments

Oct 2026 · Societies · 14 references
Social Movements and Cultural Identity

Abstract

Institutional efforts to advance racial equity within professional associations, credentialing bodies, and accrediting organizations are commonly built on two fragile models: compliance-driven mandates (which collapse when enforcement is paused or politically targeted) and isolated, time-limited initiatives (which lack continuity when staff, leadership, or political conditions change). This concept paper proposes a third model: racial equity work embedded as shared organizational infrastructure rather than enforced policy or standalone programming. Drawing on organizational change theory, institutional isomorphism, the distinction between explicit and implicit equity models, and the racial equity infrastructure literature, we introduce a milestone-based system organized around a small number of cross-unit advancement lanes, each governed by measurable, time-bound milestones rather than open-ended commitments. We specify four functional roles (translator, integrator, risk navigator, and accountability architect) through which a central equity office can sustain systemic progress without depending on contested language or shifting political permission. We use the American Psychological Association’s (APA) Racial Equity Action Plan (REAP) as a primary case illustration of both structural innovation and persistent fragility, contrast it with the American Public Health Association’s (APHA) more proactive legal and advocacy infrastructure, and draw on the American Bar Association’s (ABA) mandatory demographic data collection as a model for accreditation-based equity measurement. We conclude with implications for professional associations, accreditation bodies, and clinical training systems operating under heightened regulatory scrutiny.

View source

Similar papers

#small language model Dataset Open access Oct 2026

Socratic guiding questions in synthetic arithmetic data: matched LoRA runs (revision v2)

Supporting data, adapters, predictions and code for the article *Low-Cost LoRA Fine-Tuning of Small Language Models for Multi-Step Arithmetic Reasoning* by Jake O'Grady, Asena Isik Gürhan, Chee Fong Ting and Effirul Ramlan (University of Galway). We generated 20,000 GSM8K-derived arithmetic problems with step-by-step s...

O'Grady, Jake, Gürhan, Asena Isik, Chee, Fong Ting et al. · 465 citations
#computer vision Open access Jun 2016

Software Development in Startup Companies: The Greenfield Startup Model

The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.

Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al. · 178 citations · ⚡14
#computer vision Open access Oct 2016

Software Startups - A Research Agenda

Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.

M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al. · 157 citations · ⚡17
#machine learning Review Open access Oct 2016

“Failures” to be celebrated: an analysis of major pivots of software startups

This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.

Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al. · 127 citations · ⚡15
#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6

Related blog posts

MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.