Gallery
Tri-Sector Mindset & Tools: A Guide
Share
Explore

I’m intrigued—how can I contribute?

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.

Fund

Further our mission with a grant supporting the development of our tri-sector products and our organization.

Collaborate

Hire our us to develop a tri-sector business model or advise your portfolio to be more impactful, with higher return.

Advise

Provide business and tech expertise to enable our team to scale.

Share/Teach

Spread the word within your organization and across your network. Teach the framework within your classroom or organization.

Build

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.

Database
assess current architecture and make recommendations​
query optimization​
AI, Information Architecture, and Data Science
assess data structure and make recommendations
assess data visualizations and make recommendations
AI 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
Design
Development​ (full-stack)
​Technology stack review and recommendations

AI/ML:​
refine classification and labeling​
refine sentiment analysis​
analyze discourse data to identify topics and insights​
image analysis to gain insights from images/memes​
Database:​
assess current architecture and make recommendations​
query optimization​
Data science​
assess discourse data elements and make recommendations​
assess visualizations and make recommendations​
help implementing recommendations
Data sourcing​
expand discourse data sources and types; self-training discovery​
help identifying discourse data for under-represented communities​
Data aggregation ​& scraping
stabilize​
add monitoring​
expand scraping to include more source types and sources​
Design​

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
AI/ML:​
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
Community building
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:
Data architecture
Ontology engineering
Development (full-stack)
Information architecture
Data engineering
Data sourcing
Scraping and data aggregation
Data science
Design


Share
 
Want to print your doc?
This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
CtrlP
) instead.