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Overview

Research roadmapping is both a knowledge-sharing activity and a tool for solving scientific coordination problems. Engaging stakeholders in structured planning to identify high-leverage research paths and initiatives requires a conversation, a data model to translate and combine knowledge from different fields, experts, and views into an iterative and parsable graph that makes research paths ascertainable.

These conversations need a substrate: a tool and set of plugins that lowers barriers and promotes stakeholder engagement and collaboration; and a user experience that makes it easier to navigate, query, and visualize alternative paths and make informed decisions.

We want to bring the open source mindset to research roadmapping: promote immediate, continuous, and public sharing of research visions, goals and dependencies to enable others in the space to decide if, and how, they can collaborate or push others’ contributions forward. Roadmaps are supposed to be forked, adapted and merged, a dynamic instrument that adsorbs signals from any stakeholder who wishes to signal others and improve the discoverability of science: who’s making or funding what, why, and what’s next.

Our goal is to create a portfolio of actionable roadmaps to support the creation of well-informed investment theses, stimulate Hypercert deployment and make research bets: a true map to align research efforts, and to identify and incentivize research pathways that are not sponsored by national agencies and traditional grant makers.

Research Roadmapping will create value for the network by highlighting new-value research directions, identifying researchers and funders relevant to these opportunities, and filling in the blanks on dependency graphs and product roadmaps, maximizing the amount of societal impact from a dollar invested in research and creating economic returnin the long-term.

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Research roadmaps can be helpful for both individual researchers and research communities. They provide a structure for organizing and communicating research priorities, which can help to prevent duplication of effort and promote collaboration among researchers with similar goals. They can also be used to identify funding opportunities and to provide a framework for monitoring and evaluating progress towards research objectives.

Knowledge synthesis and foresigth coordination to accelerate the creation of research public goods

• Mapping out investments in scientific public goods

  • De-risk venture research initiatives
  • Inform funding allocation decisions

• Accelerate scientific discovery

  • Map the unknowns
  • Find leverage points: under-researched or under-funded areas of knowledge

• Aligning stakeholders for the creation of research public goods

  • Match problems and capabilities to maximize positive impact

• Continuous and immediate share of research visions, goals and milestones

  • Lower entry barriers for early career researchers or cross-discipline contributions
  • Identify opportunities for collaboration and contribution

*Build impact markets

• Improved value attribution and recognition of atomic contributions