Sesión III. IA para proyectos, convocatorias y justificación técnica.

Introduction and Session Overview

Session Logistics

• Participants are reminded to rename themselves for identification purposes, especially for certification requests.

• The session marks the conclusion of a three-part module on AI, with certificates available upon request.

Materials and Resources

• Attendees will receive an evaluation questionnaire, session recordings, and materials used throughout the training. Previous session recordings will also be shared.

• A comprehensive guide summarizing key content from all sessions is being developed for participants' reference.

Session Structure and Focus

Format of the Current Session

• The current session will follow a similar format to previous ones, with exercises conducted live on screen. Questions can be submitted via chat.

• The aim is to cover various topics within a two-hour timeframe while ensuring that recorded content remains accessible for those who may need to leave early.

Recap of Previous Sessions

Overview of Topics Covered

• The first module provided foundational knowledge about AI, including its functionality and ethical considerations.

• Subsequent sessions focused on applying AI in communication strategies and institutional image enhancement. The final session aims at project design using AI tools.

Project Design Using AI

Objectives of the Final Session

• This session emphasizes utilizing AI for project design, understanding funding opportunities, and efficiently summarizing relevant information from calls for proposals.

• Future sessions will delve deeper into specific AI models like Cloud GPT or Gemini after Easter break, focusing on practical applications in project development.

Practical Application: IRPF Project Proposal

Example Project Scenario

• Participants will simulate presenting a project proposal under the IRPF (Income Tax Allocation Fund) framework as a practical exercise during this training session.

• Emphasis is placed on adapting learned techniques to various public or private funding opportunities beyond just this example case.

Utilizing AI Tools Effectively

Selected AI Models for Training

• Key models discussed include Gemini, Cloud GPT, CHGPT, and Notebook; each serves distinct functions such as document analysis or content generation based on user input.

• Notebook: Ideal for analyzing multiple documents simultaneously by uploading them directly into the system.

• Cloud GPT: Noted as particularly powerful in language processing tasks within Excel environments.

• CHGPT: Used primarily for drafting written content effectively based on user prompts.

• Copilot: Mentioned but not extensively covered due to time constraints; it offers additional functionalities but is less emphasized than others in this context.

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Limitations and Human Oversight in AI Use

Understanding AI's Capabilities

• While AI can significantly reduce time spent on tasks like data analysis or report writing, human oversight remains crucial due to potential inaccuracies known as "hallucinations."

• Users must provide clear instructions to minimize errors; thus maintaining quality control over outputs generated by these systems is essential despite their efficiency benefits.

Crafting Effective Prompts

Importance of Clear Instructions

• Establishing a precise prompt (PROM) tailored to organizational identity enhances output quality from the AI tool being utilized.

• Specificity regarding roles and objectives leads to better results when interacting with these technologies.

• Users should avoid vague language that could lead to misinterpretation by the model.

Data Protection Considerations

Safeguarding Sensitive Information

• When working with sensitive data through free versions of these tools, users must ensure compliance with data protection regulations by anonymizing personal identifiers before submission.

• Awareness around what constitutes sensitive information is critical when engaging with any form of artificial intelligence technology.

This structured markdown file captures key insights from the transcript while providing timestamps linked directly back to specific moments in the video discussion for easy reference and study efficiency.

Introduction to Document Uploading and Analysis

Overview of the Session

• The speaker is preparing for a presentation, mentioning that they have exercises ready and will share documents uploaded in a notebook format.

• There are issues with the internal server speed affecting document uploads, but the speaker reassures that they will demonstrate previously prepared materials.

• Key documents uploaded include bases, convocations, and various forms necessary for analysis.

Working with Uploaded Documents

• The speaker explains that once all documentation is uploaded, work can begin on analyzing these materials.

• The first task involves understanding the convocation details and bases; an instruction prompt will be provided for analysis.

Instruction Prompts for Analysis

Setting Up Instructions

• The speaker plans to share specific prompts used for instructing the AI to analyze the convocation documents effectively.

• Users can personalize their chat settings within the notebook configuration to tailor responses based on their needs.

Importance of Clear Instructions

• Emphasis is placed on providing clear instructions regarding verification of sources and avoiding fabricated information during analysis.

• Users are advised to request traceability in responses, ensuring references are cited accurately from specified articles or sections.

Analyzing Convocation Criteria

Focused Analysis Requests

• The objective is not just summarization but operational analysis aimed at strategic decision-making regarding scoring criteria in convocations.

• Specific requests include creating tables of evaluation criteria and identifying maximum points available per section.

Operational Insights

• Users should ask about excluded expenses and critical limits while also seeking guidance on drafting project proposals based on analyzed data.

Common Errors and Clarifications

Identifying Frequent Mistakes

• Users can inquire about common errors made in similar projects or applications to avoid pitfalls during submission processes.

Clarity in Communication

• Directness in communication with AI is encouraged; users should specify formats (e.g., tables over narrative text).

Results from AI Analysis

Presentation of Findings

• Upon executing prompts, users receive structured tables detailing scoring sources and requirements needed for maximum points.

Verification Process

• Each response includes citations from relevant bases or pages, allowing users to verify information independently.

Understanding Funding Limitations

Financial Guidelines

• Important financial guidelines are discussed including non-reimbursable expenses such as volunteer fees or administrative costs.

Risk Management

• Users learn about potential risks associated with funding applications including incompatible expenses which could lead to budget cuts or reintegrations.

Utilizing AI as a Consultant

Ongoing Support

• The AI serves as a consultative tool throughout the application process by answering specific queries related to any given convocation.

Future Queries

• Users can continuously engage with the AI for clarifications on various aspects of their projects as new questions arise.

Iteration Process

Refining Responses

• It’s crucial not to settle for initial answers; users should iteratively refine inquiries until satisfactory clarity is achieved.

Creating Summaries

• A separate prompt allows users to generate concise summaries or reports suitable for sharing among colleagues or stakeholders.

Generating Reports

Custom Report Creation

• Users can create tailored reports by specifying desired content structure through prompts directed at generating informative summaries.

Practical Applications

• These reports serve practical purposes such as internal communications regarding funding opportunities across different departments.

Developing Justification Guides

Crafting Comprehensive Guides

• Another prompt focuses on developing detailed justification guides that outline necessary documentation required during audits or evaluations.

Ensuring Compliance

• Emphasis remains on adhering strictly to regulatory frameworks without introducing unverified procedures into submissions.

Implementing Logical Framework Methodology in Project Development

Overview of the Methodology

• The discussion begins with an introduction to the logical framework methodology, emphasizing a structured approach that moves from general objectives to specific actions.

• Objectives must be SMART (Specific, Measurable, Achievable, Relevant, Time-bound), and there should be clear indicators for measurement.

• The focus is on providing detailed instructions rather than generalities, highlighting the importance of coordination with social services.

Project Creation Process

• The project has been created successfully; now it’s time to work specifically on the call for proposals.

• Instructions are given on how to upload necessary files directly from Google Drive or local storage for project development.

• All relevant documents such as calls for proposals and model sheets are uploaded and prepared for use in the project.

Customizing Instructions for AI Assistance

• Users can specify how they want the AI to process documents by providing tailored instructions alongside general guidelines.

• Emphasis is placed on ensuring that AI responses align with user expectations through personalized profile settings within the cloud platform.

Setting Evaluation Criteria

• Specific evaluation criteria are established: no invention of regulations or criteria by AI; if information is missing, it should be indicated clearly.

• Critical restrictions related to funding applications are highlighted, prioritizing precision over verbosity in responses.

Working on Project Documentation

Initial Steps in Document Preparation

• The first task involves filling out a model sheet regarding entity specialization and implantation details required by tax regulations (IRPF).

• Different models available for documentation are discussed; users have options based on efficiency and response speed.

Adapting Text Based on Requirements

• Users provide context about their programs so that the AI can adapt text accordingly for specific sections of applications.

• The AI processes input data while informing users about its actions—reading documents and consulting relevant bases.

Analyzing Feedback from AI

• Users receive preliminary analyses from the AI regarding potential scoring points based on provided criteria.

• Suggestions include phrases that could enhance application quality based on previous experiences shared by users.

Enhancing Application Quality Through Data Integration

Utilizing Statistical Data

• The conversation shifts towards integrating statistical data into project justifications, focusing on program execution details like target demographics and activities conducted.

Structuring Justification Sections

• Users discuss how to present human resources data effectively while considering various factors impacting scoring during evaluations.

Leveraging External Tools for Enhanced Research

Using GPT Technology

• A transition occurs where users plan to utilize GPT technology to gather verifiable statistical data needed for justifying projects effectively.

Searching Techniques

• Users instruct GPT to act as a technical documentarian specializing in social policies while emphasizing strict adherence to public sources only.

Finalizing Project Documentation

Completing Justification Text

• After gathering all necessary statistics through external tools, users return to finalize justification texts within their project documentation.

Reviewing Outputs

• Continuous iterations occur where users refine outputs received from AI until they meet specified requirements before submission.

Sharing and Collaboration in Cloud Projects

Overview of Sharing Features

• Users can share their projects with multiple people by providing a private or public link, allowing collaborative access to the project.

• The sharing feature is accessible through the sidebar in the chat interface, enabling easy distribution of project links.

• Public notebooks can be created for broader access, enhancing collaboration within organizations.

Generating Indicators for Project Evaluation

• The focus shifts to generating ten indicators based on the project's objectives, which will later be filtered for relevance.

• Each indicator must include criteria for evaluation, ensuring that they align with the goals of optimizing scoring in grant applications.

• A variety of indicators are suggested initially, with flexibility to adjust numbers as needed during the filtering process.

Filtering and Evaluating Indicators

• After generating indicators, users are encouraged to filter them based on feasibility and alignment with project goals. This involves assessing each indicator against specific questions regarding data collection capabilities and impact sensitivity.

• Indicators receiving two or more negative responses should be discarded to maintain a focus on achievable outcomes.

Evaluating Innovation in Project Proposals

Defining Innovation Criteria

• The session discusses how to articulate innovation within project proposals by emphasizing new services or significant improvements over existing practices. Clear definitions are essential to avoid generic statements.

• It is crucial to connect innovations with strategic plans in social services while considering rural contexts where applicable. Emphasis is placed on realistic innovations suitable for medium-sized entities without heavy technological reliance.

Drafting Innovative Elements

• Participants are guided through drafting sections related to innovation using prompts that encourage detailed descriptions of innovative aspects and emerging needs addressed by the program.

Budget Preparation and Justification

Creating a Budget Framework

• The importance of developing a budget aligned with funding criteria is highlighted; participants learn how to structure their budgets effectively using tools like Excel integrated into cloud platforms for ease of use and validation against grant requirements.

Auditing Budgets for Compliance

• An exercise demonstrates how participants can submit an intentionally flawed budget for review, allowing them to identify compliance issues based on established guidelines from funding bodies such as IRPF (Income Tax).

Detailed Analysis of Budget Items

• Each line item in submitted budgets undergoes scrutiny regarding eligibility under grant conditions; this includes identifying necessary documentation required for justifying expenses like salaries or equipment purchases while noting potential risks associated with certain expenditures.

• For example, costs related to internal meetings may not qualify as eligible expenses due to lack of direct linkage to program beneficiaries.

• Recommendations provided include verifying documentation such as contracts or invoices before submission.

• Specific items flagged as questionable receive detailed explanations about compliance risks and necessary adjustments needed prior to finalizing submissions.

Análisis de Gastos y Riesgos en Proyectos

Resumen del Análisis de Gastos

• Se han analizado un total de 25 gastos, con 15 considerados elegibles para el proyecto, 9 no elegibles y 1 dudoso. El importe total analizado presenta un riesgo del 26% en los gastos no dudosos.

Herramientas de Auditoría

• Se discute la importancia de contar con herramientas que permitan auditar rápidamente la justificación de gastos, facilitando así una revisión más eficiente.

Capacidades del Cloud y Excel

• La formación específica sobre el uso del cloud y Excel destaca cómo estas herramientas pueden multiplicar su utilidad, incluso si los usuarios no dominan todas sus funciones.

Evaluación de Proyectos Antes de Presentación

Simulación de Evaluación

• Se simula la entrega y evaluación de un proyecto por parte de la administración, utilizando el cloud para subir documentos completos con errores intencionados para evaluar su efectividad.

Proceso Técnico

• Se establece que el evaluador debe actuar como una comisión técnica, aplicando criterios específicos sin posibilidad de aclaraciones adicionales durante la evaluación. Esto busca mantener rigor en el proceso.

Informe Técnico Generado

Resultados del Informe

• Un informe técnico generado por el sistema proporciona puntuaciones basadas en criterios establecidos, destacando fortalezas y debilidades del proyecto presentado. Tardó aproximadamente 10 minutos en generarse.

Fortalezas Identificadas

• El informe menciona fortalezas como un diagnóstico sólido y cuantificado, además de un plan completo con indicadores evaluables que superan el umbral mínimo requerido para subvención.

Errores Detectados en la Evaluación

Clasificación por Gravedad

• Los errores se clasifican según su gravedad; se identifican problemas como superación de topes salariales y contradicciones territoriales que podrían comprometer la aprobación del proyecto.

Recomendaciones Finales

• El informe incluye recomendaciones sobre cómo mejorar las áreas problemáticas detectadas durante la auditoría externa realizada al documento original presentado por el usuario.

Búsqueda Eficiente de Financiación

Automatización en Búsquedas

• Se discuten métodos para automatizar búsquedas relacionadas con convocatorias abiertas a través de herramientas como Google Alerts o plataformas específicas como Géminis o Cloud, optimizando así tiempo y recursos.

Comparativa entre Convocatorias

• La capacidad para comparar diferentes convocatorias permite identificar cambios significativos entre ediciones pasadas y actuales, ayudando a ajustar propuestas futuras según requisitos actualizados.

Conclusiones sobre Mejora Continua

Importancia del Feedback Constante

• La verificación constante es crucial para adaptar proyectos a las exigencias cambiantes; se enfatiza que todo lo aprendido puede ser aplicado a cualquier tipo de convocatoria o subvención futura.

Recursos Adicionales

• Se mencionará posteriormente un paquete informativo que incluirá grabaciones y materiales complementarios relacionados con las formaciones ofrecidas durante esta sesión educativa.