Cybersecurity Fair Pilot Readiness Assessment

The goal of this project is to help the Feminine Intelligence Agency (FIA) prepare its innovative Cybersecurity Fair platform for public launch. The Fair is an interactive, peer-learning environment where students teach each other practical cybersecurity micro-skills — a scalable, low-cost model to raise digital awareness and resilience across campuses. Student teams will focus on testing, improvement, and pilot design to ensure the platform is secure, effective, and engaging. Through hands-on evaluation and structured reporting, the team will connect cybersecurity principles with real-world educational deployment. Key Objectives: Conduct a cybersecurity and usability audit of the Cybersecurity Fair prototype, identifying vulnerabilities, privacy risks, and accessibility issues. Design and document a pilot launch plan , including test procedures, feedback collection, and key performance indicators (KPIs). Evaluate learning effectiveness — does the content help users understand emerging threats like AI-assisted psychological exploitation (AIPEx) and social engineering? Deliver an implementation readiness report summarizing system health, educational quality, and risk mitigation priorities. Develop a professional presentation package suitable for executive review and potential university partners. By the end of the project, students will produce a set of practical, adoption-ready recommendations that strengthen FIA’s ability to deliver cybersecurity literacy to thousands of college students, especially women, in a fast-changing digital threat landscape.

Redefining Autism Diagnosis: A Policy Framework for Autistic Girls/Women

The Feminine Intelligence Agency (FIA) has already sponsored research into how autism criteria are defined and how they fail to capture the lived experience of autistic girls and women—particularly how this leads to missed diagnoses and increased vulnerability to coercion and sexual assault. Building on this existing research, this project will: Map the Decision-Making Process : Identify the key players and committees (e.g., APA, DSM subcommittees, insurance lobbies) who shape diagnostic criteria and public messaging. Analyze Diagnostic Gaps and Biases : Show how the current DSM framework ignores autistic girls’ masking, trauma history, and vulnerability, and how it perpetuates a deficit model instead of a neurodivergent perspective. Conduct Interviews : Engage with key informants—such as clinicians, researchers, advocacy groups, and autistic women—to capture a 360-degree view of how these decisions are made and how they impact real lives. Transcribe and synthesize these interviews to inform the final report. Investigate Health Department Leverage Points : Explore how initiatives like the US Autism Registry could reinforce outdated deficit models or support a divergence-based approach. Propose Systemic Policy Changes : Develop actionable recommendations to shift from the deficit model to a neurodivergent framework, ensuring early interventions include social discernment skills that protect autistic girls from coercion.

Listening Lab Expansion Strategy

The Listening Lab is a scalable, community-driven wellness initiative designed to provide nervous system regulation and emotional support through structured peer pods. It serves individuals experiencing intense emotions who may not want or be able to access therapy. The program avoids peer therapy pitfalls by assigning rotating coaching and creative roles instead of advice-giving, fostering empowerment, expression, and emotional resilience. FIA has already developed the core theory, initial simulation, and a draft design. We are seeking graduate students in public health to help advance this into a pilot-ready model by selecting focus areas aligned with their interests and competencies. Project Options for Students (Choose 1–2): 1. Program Design & Health Promotion Strategy Translate Listening Lab’s theory into a detailed health promotion program. Design participant-facing materials (e.g., facilitation guides, safety disclaimers, onboarding forms). Identify public health frameworks (e.g., trauma-informed care, social support theory) to structure the intervention. Deliverable: A full intervention logic model or promotional campaign plan. 2. Technology Feasibility & Peer Role Design Recommend digital tools to facilitate remote peer pods (e.g., Zoom, Discord, Circle). Help shape peer roles that promote participation and emotional safety. Design protocols to ensure participants don't engage in untrained therapy behaviors. Deliverable: A set of peer pod role cards and a technology comparison chart. 3. Evidence-Based Evaluation Strategy Conduct a literature review on community-based emotional regulation programs. Design an evaluation plan to measure safety, satisfaction, and potential health outcomes. Recommend pre/post metrics or participant surveys for low-barrier data collection. Deliverable: A 2-page evaluation plan + annotated bibliography. 4. Community Outreach & Equity Plan Identify target populations for the pilot (e.g., college students, single mothers, neurodivergent adults). Develop an inclusive outreach and recruitment plan, considering stigma and access barriers. Suggest community partners or local organizations for pilot testing. Deliverable: A strategic outreach brief and equity checklist.

SEO & Audience Fit Dashboard Development for FIA

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.