In envisioning a management strategy for ResearchOps in a manner that aligns with Jaron Lanier's philosophies, we would shift the focus from "AI" to a more human-centric approach. Lanier, a critic of certain aspects of digital culture and a proponent of humanistic principles, would likely advocate for a vision that emphasizes the following key aspects:

1. Human-Centered Technology: Instead of referring to the system as "AI," it could be viewed as an "Augmented Intelligence Network." This terminology underscores the tool's role as an enhancer of human intelligence and decision-making, rather than a replacement. The technology would be designed to work in harmony with human operators, amplifying their capabilities and providing support where needed, but always leaving final judgments and ethical decisions to humans.
2. Interactive and Participatory Framework: Lanier is known for advocating for a participatory approach to technology. In this vision, OnResearchOps would be an interactive platform where users are not just passive recipients of information but active participants. They could contribute to the development of taxonomies, suggest improvements, and even modify certain aspects of the tool to better suit their unique research needs.
3. Decentralization and Diversity: Lanier often speaks against the concentration of power in the hands of a few large tech companies. Applying this principle, OnResearchOps would be developed and managed through a decentralized model. This could involve open-source development, community-driven updates, and a structure that supports diverse inputs and perspectives. This approach ensures a wide range of insights and experiences shape the tool, making it more robust and versatile.
4. Ethical and Transparent Design: Ethical considerations and transparency would be at the forefront of OnResearchOps' development and operation. This means clear communication about how data is used, who has access to it, and how decisions are made within the system. There would be a strong emphasis on privacy, with strict protocols to ensure user data is handled responsibly.
5. Continuous Human Learning and Adaptation: Instead of solely relying on machine learning, this vision would prioritize human learning and adaptation. The system would be designed to encourage users to develop their understanding of research operations, offering insights and explanations for its recommendations. This approach empowers users to grow their skills and knowledge alongside the tool.
6. Avoiding Technological Determinism: Lanier often warns against seeing technology as the inevitable driver of future societal changes. In this vein, OnResearchOps would be managed with a mindset that technology is a tool shaped by human values and choices, not an unstoppable force dictating our future. This perspective ensures that the technology remains adaptable and aligned with the evolving needs and values of its users.

In summary, managing OnResearchOps in a way that resonates with Jaron Lanier's views would involve a fundamental shift from viewing the system as an autonomous AI to seeing it as a human-augmenting, ethically grounded, and participatory tool. This approach emphasizes the enhancement of human capabilities, ethical integrity, and a commitment to decentralization and transparency.