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.

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.

Women's Personal Agency Measurement Framework

The Feminine Intelligence Agency is a research and technology organization dedicated to strengthening women’s agency —the ability to think clearly, act freely, and work together effectively. FIA develops open systems that help women understand their own decision-making, resist coercion, and build networks rooted in trust and transparency. We believe that empowerment begins with self-knowledge , but that self-knowledge must never be harvested or controlled by external institutions. Why This Project Across the world, women’s organizations, researchers, and advocates are trying to quantify empowerment and measure progress, yet the underlying psychological data are either locked in proprietary systems or gathered in ways that strip individuals of privacy. FIA’s mission is to change that. We want women—and the groups that support them—to be able to measure and strengthen agency without surrendering personal information to centralized platforms. The solution must respect both individual sovereignty and collective intelligence : each woman owns her psychological data, while women’s networks can collaborate through shared, anonymized indicators and open standards. Project Goal and Purpose To build an open-source, privacy-preserving platform that allows women to assess and strengthen their personal agency, own and carry their psychological data, and—when they choose—collaborate securely with organizations working to advance women’s empowerment. This project will: Empower the individual — through local-first self-assessment tools that run privately on her own device, producing insight without exposure. Strengthen the collective — by giving women’s groups, researchers, and NGOs a shared, open standard for anonymized metrics, enabling coordination and evidence-based collaboration. Preserve data integrity — through encryption, transparent scoring algorithms, and open governance rather than centralized data storage. Together, these elements form a federated ecosystem for women’s agency : each participant controls her own information, yet everyone benefits from the aggregated learning that open standards make possible.

Automating Diamond Shield: Python Dataset Generation for Communication Training

Diamond Shield is a methodology we have developed for generating creative responses to manipulative communication. While the theory and response patterns are already defined, what we need now is a scalable dataset to train our AI chatbot, ChatBoy . This internship focuses on the data science side of the project: using Python to take an existing pattern of manipulative maneuvers and comeback strategies and automate the production of structured datasets . Students will generate large numbers of response examples, tag them by manipulation type and response “flavor,” and prepare the data for future visualization and integration into training simulations. The core challenge is not inventing new communication strategies, but rather automating and organizing data at scale . The output will be a structured and well-tagged dataset, demonstrating how Diamond Shield responses can be systematically categorized and analyzed—an essential step in training AI systems for more advanced simulation environments.