The Feminine Intelligence Agency (FIA) is a social-impact organization dedicated to advancing women’s equality. Our mission is to teach women how to spot, resist, and neutralize coercive tactics in relationships, workplaces, and public life. We develop tools, research, and training in the emerging field of Social Discernment—the ability to recognize power moves and manipulation before they escalate into coercive control.

Defining the Field

Social Discernment is the study of how individuals identify and interpret power moves—the subtle strategies of influence, dominance, or manipulation that shape social, professional, and political contexts. It bridges psychology, sociology, and data science to help people separate authentic collaboration from exploitation and anticipate hidden agendas.

This work is especially timely: political rhetoric, media narratives, and online culture are saturated with performative displays of power (“flexing”). Just as financial literacy helps individuals detect fraud, social discernment provides a framework for detecting manipulation and coercion, enabling women to protect their rights and autonomy.

Project Overview

FIA has drafted 70 original articles that pioneer the conceptual foundations of Social Discernment. These articles are rich in insight but vary in polish and accessibility. To establish thought leadership and broaden impact, FIA needs to align this canon of work with current industry trends and audience demand.

Students will build a recommendation engine that analyzes FIA’s draft articles, matches them with publicly available trend and keyword data, and produces data-driven publishing guidance. The aim is to prioritize and tailor FIA’s articles for maximum visibility while preserving their originality and depth.

Scope of Work

• Theme Analysis: Cluster FIA’s 70 draft articles into core topics using NLP and clustering methods.
• Trend Matching: Use free public sources (Google Trends, AnswerThePublic, keyword datasets) to map articles against high-demand or rising topics.
• Platform Fit: Recommend best publication platforms for each article (LinkedIn, Medium, Substack, X) based on content features and audience.
• Keyword Guidance: Suggest trending words or phrases to strengthen article titles and summaries.
• Publishing Calendar: Propose timing windows for releasing high-priority articles.

• Dashboard/Heatmap: Interactive visualization showing priority scores, theme clusters, platform recommendations, and keyword suggestions.
• Ranked Dataset: CSV/Excel file of articles with structured scores (quality, trend fit, audience fit, platform fit).
• Consulting-Style Presentation: 15-minute slide deck summarizing findings and recommendations.
• Source Code: Reproducible Python scripts with documentation.
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Data & Tools

• Data Provided by FIA: A CSV of 70 draft articles (title + text).
• Public Data Sources: Google Trends (via pytrends), AnswerThePublic, keyword datasets, publishing benchmarks.
• Tools: Python (pandas, numpy, scikit-learn, spaCy, textstat, matplotlib/plotly, Streamlit).

Impact

This project will transform FIA’s 70 drafts into a thought-leadership publishing engine. Instead of polishing all articles equally, FIA will focus on the ones with the strongest alignment to audience demand and current debates, ensuring that Social Discernment enters both public and academic discourse as a credible, pioneering field.

For students, this project offers applied experience in NLP, clustering, SEO analysis, dashboard design, and consulting-style communication, with deliverables that directly shape how a women’s equality initiative builds authority in a new intellectual domain.