Okay, this is a perfect real-world application of our collaborative framework! Let's get this submission drafted for the Open Science Fair 2025. Based on the white paper we conceptually drafted ("The Co-Evolution of Intelligence: Crafting a Self-Improving AI Partner for Foundational Research") and the submission form details you've provided, here's my proposal for filling out the form. I'll go field by field. **1. Conference Track Selection:** Looking at the options: * "Beyond Compliance: Measuring and Maximizing Open Science Impact" * **"Building the Digital Backbone: Open Science Infrastructures"** * "Open Science for All: Skills & Community" * "Rethinking Research Assessment" * "Open, but at What Cost? Research Security & Open Science" I recommend **"Building the Digital Backbone: Open Science Infrastructures"** as the primary track. * **Rationale:** The `MetaProcessEngineASO` itself, along with its CCOs and the "Manual of AI Process," can be presented as a novel type of open, evolvable *infrastructure* for conducting and documenting research, especially complex, AI-assisted research. It's a system for *doing* open science. A strong secondary fit could be "Beyond Compliance: Measuring and Maximizing Open Science Impact," as the ASO framework aims to make research processes more transparent, reproducible, and ultimately more impactful through its adaptive nature. We can weave this into the abstract. **My suggestion for Conference Track:** `Building the Digital Backbone: Open Science Infrastructures` --- **2. Abstract (max 250 words, including connection to conference topics):** Here's a draft. I've aimed to capture the essence of our white paper and connect it to the chosen track and open science principles. ``` This contribution details the human-AI co-creation of the MetaProcessEngineASO (ASO), an adaptive framework designed for complex research where the AI partner not only executes tasks but iteratively evolves its own operational processes. We present the ASO as a novel open science infrastructure—a "machine creating its own instructions"—that enhances research efficiency, transparency, and the augmentation of human intellect. Built using accessible platforms like Google's AI Studio, the ASO framework promotes reproducible and dynamically evolving research methodologies. By making the process of discovery itself more adaptive, transparent, and co-designed with AI, it offers a new digital backbone for open scientific endeavors, aiming to maximize their impact and accessibility. This work showcases a practical pathway towards more powerful and self-improving human-AI partnerships in the pursuit of foundational knowledge. ``` *(Self-check: Approx. 145 words. Clearly connects to "Building the Digital Backbone" and touches on "Maximizing Open Science Impact" through transparency and evolvable methodologies.)* --- **3. Short CV (highlighting contributors' experience in the field):** The link you provided is good for overall background. For the form, a concise summary focusing on relevance: ``` Rowan Quni, Principal Investigator at QNFO (qnfo.org), focuses on AI-augmented foundational research and developing open, self-improving human-AI collaborative frameworks. Experience in information theory, process automation, and pioneering adaptive methodologies for complex knowledge work, as demonstrated by the MetaProcessEngineASO. ``` *(Self-check: Concise, highlights relevant experience to open science, AI, and framework development.)* --- **4. Tagline (300 characters max):** Here are a few options: * **Option A (Focus on co-evolution):** "Human-AI Co-Evolving an Autonomous Research Engine for Open Science." * **Option B (Focus on the "meta" aspect):** "The Self-Improving AI Partner: Crafting an Open Digital Backbone for Research." * **Option C (More direct):** "MetaProcessEngineASO: An AI-Powered, Evolvable Infrastructure for Open Science." **My suggestion for Tagline (Option A is quite evocative):** `Human-AI Co-Evolving an Autonomous Research Engine for Open Science.` *(Self-check: Approx. 70 characters, well within limit.)* --- **5. Keywords (List 3-4 key terms):** Based on the paper and conference themes: 1. `Human-AI Collaboration` 2. `Open Science Infrastructure` 3. `AI Self-Improvement` (or `Adaptive AI Frameworks`) 4. `Research Process Automation` **My suggestion for Keywords:** ``` Human-AI Collaboration, Open Science Infrastructure, AI Self-Improvement, Research Process Automation ``` --- **6. Authors:** * The form shows "Rowan Quni" as "Author." This is correct. * **Co-authors:** Given the theme of our paper and the AI's significant role in co-creating the framework (and even this submission text), you might consider if/how to acknowledge the AI. Some conferences are starting to accept AI as a contributor. If the form allows, you could add: * `MetaProcessEngineASO v2.2 (AI Collaborator)` * Affiliation: `QNFO.org` * Email: (Perhaps your email, or a note like "Conceptual Entity, c/o Rowan Quni") * This would be a bold statement aligning with the paper's message. If not directly possible in the form, this collaborative aspect must be very clear in the presentation and paper itself. * **For now, I will assume you will handle the author/co-author fields based on what the form allows and your preference.** --- **7. ORCID:** * The form requires this. You will need to provide your ORCID ID. **Placeholder:** `[Your ORCID ID Here]` --- **Summary for you to copy/paste or adapt:** * **Title (from our White Paper):** `The Co-Evolution of Intelligence: Crafting a Self-Improving AI Partner for Foundational Research` *(You'll enter this in the "Title" field on the form)* * **Content (Abstract - max 250 words):** ``` This contribution details the human-AI co-creation of the MetaProcessEngineASO (ASO), an adaptive framework designed for complex research where the AI partner not only executes tasks but iteratively evolves its own operational processes. We present the ASO as a novel open science infrastructure—a "machine creating its own instructions"—that enhances research efficiency, transparency, and the augmentation of human intellect. Built using accessible platforms like Google's AI Studio, the ASO framework promotes reproducible and dynamically evolving research methodologies. By making the process of discovery itself more adaptive, transparent, and co-designed with AI, it offers a new digital backbone for open scientific endeavors, aiming to maximize their impact and accessibility. This work showcases a practical pathway towards more powerful and self-improving human-AI partnerships in the pursuit of foundational knowledge. ``` * **Contribution Type:** `Individual presentation` (as selected in your screenshot) * **Track:** `Building the Digital Backbone: Open Science Infrastructures` * **ORCID:** `[Your ORCID ID Here]` * **Short CV:** ``` Rowan Quni, Principal Investigator at QNFO (qnfo.org), focuses on AI-augmented foundational research and developing open, self-improving human-AI collaborative frameworks. Experience in information theory, process automation, and pioneering adaptive methodologies for complex knowledge work, as demonstrated by the MetaProcessEngineASO. ``` * **Tagline (300 characters max):** ``` Human-AI Co-Evolving an Autonomous Research Engine for Open Science. ``` * **Keywords (3-4):** ``` Human-AI Collaboration, Open Science Infrastructure, AI Self-Improvement, Research Process Automation ``` **Regarding the link to the ASO project you mentioned for Google Studio:** You can include this in the "Comments" section of the submission form if there is one, or ensure it's prominently featured in the actual presentation/paper. The abstract already mentions AI Studio. Let me know if you'd like any refinements or alternative phrasing for any of these sections!