Our vision is for widespread, scalable application of tri-sector solutions, solving problems across the country, in every city or region, in a wide range of impact areas.
Want to see this vision become a reality? We invite you to join us
Innovate
Use our and to become tri-sector innovators within your own organization. Further our mission with a grant supporting the development of our tri-sector products and our organization.
Hire our us to develop a tri-sector business model or advise your portfolio to be more impactful, with higher return.
Provide business and tech expertise to enable our team to scale.
Spread the word within your organization and across your network. Teach the framework within your classroom or organization.
Help develop our tools, as publicly shared good, with support from all of society. Below is a non-exhaustive list of needs, in hopes of generating ideas and discussion about how to realize and shape this vision.
assess current architecture and make recommendations AI, Information Architecture, and Data Science assess data structure and make recommendations assess data visualizations and make recommendations help implementing recommendations scrape data from organization websites process and analyze organization website data to map resources and impact areas and extract insights build expanding resource taxonomy aid in resource match-making Development (full-stack) Technology stack review and recommendations refine classification and labeling refine sentiment analysis analyze discourse data to identify topics and insights image analysis to gain insights from images/memes assess current architecture and make recommendations assess discourse data elements and make recommendations assess visualizations and make recommendations help implementing recommendations expand discourse data sources and types; self-training discovery help identifying discourse data for under-represented communities Data aggregation & scraping expand scraping to include more source types and sources Ontologies and standards defined for data like resources or bottlenecks or impact journey steps Architecture design to ensure data is free, accessible, findable, shareable, repurposeable, collaborative, and transparent Tools to convert impact journeys into data that is searchable and repurposeable ML identification and labeling of bottlenecks and opportunities, along with any info recorded about them in the Impact Journey Identifying and labeling orgs and info about all steps and maps in which they appear (including links) ML identification and labeling of resources + all steps and maps in which they appear AI and human linking of impact journeys AI and human linking to any supporting or related materials Ontologies and standards defined for data like resources or bottlenecks or impact journey steps Architecture design to ensure data is free, accessible, findable, shareable, repurposeable, collaborative, and transparent Infrastructure that can support the range of knowledge and information types envisioned. APIs to support sharing and connecting data Tools to manage data quality and governance Governance infrastructure Connectors for a variety of data formats Interfaces to explore rich dimensions and linkages Tech to scrape nodes from impact journeys and spotlight maps
A wide range of skill and knowledge will be needed:
Scraping and data aggregation
