Atlas Roadmap
Nifty.Works are Google Maps for knowledge discovery.
The platforms allow to search for connections in between of entities.
Connections in between of entities are knowledge structures displayed in form of maps, which can contain one or multiple learning paths.
A learning path is a sequence of relatively ranked links, between entities.
The Atlas is a collection of knowledge maps created, saved and shared by users, to allow:
- dissemination of knowledge
- asking for insights on complex subjects and multi-disciplinary areas
- reward contributors to share own point of view to explain the hows and whys of a complex areas
- allow contributors be accountable for the causal correlations they contribute to share
Nifty.works is interested in partnership to embed knowledge discovery platforms in dAPPs.
The following defines test 0 of roadmap to deploy Atlas project.
The Atlas of Human Knowledge was a service initially designed for my former co-founder project, in this new version newly redesigned.
Nifty.works [NW] are Google Maps for knowledge discovery.
NW invested in developing knowledge discovery services and experiences, to allow search for connections in between of entities and uncover paths to discover, overview and summarise new knowledge, by showing and explaining the "steps-to-do" to tap into a subject and “things-to-know” that contextualise that subject.
NW platforms associate multipartite knowledge networks [from here on, the Network] to a list of contents that can be crowd-sourced or produced by third-parties.
As an example, in one of the NW platform, such content is associated to creative commons articles from English Wikipedia.
NW platforms experimented on versions to gamify knowledge networks, to engage in learning, discovery and production of new knowledge, and accompany people to reach out to new knowledge areas, starting from own point of view and initial background.
ChainMap [CM] aggregates content focused on blockchain domain, to help connect experts in industry via learning and training material.
CM will invest in associating smart-contracts in uploading and consuming content.
CM is working on smart-contracts to create incentives allowing end-users curation and consumption of quality content for training over blockchain and helping connect blockchains areas in job market.
NW and CM discussed in July - August 2018 for a partnership scoping the use of knowledge mapping, provided by NW, to endorse learning and discovery of content curated by CM.
NW shares the following definitions and roadmap for Task 0.
Entity := a unique concept, thing, person, company. In a network representation, an entity is represented as a node.
Map := a multidimensional space represented by correlations (edges) between entities.
Visual Map := a visual representation of a map in form of a connected graph layout.
Subject := a knowledge area defined by a set of edges and set of nodes
Path := a sequence of vertices in a map
Creation of Atlas to collect knowledge maps focused on blockchain domain, to explain to the public key concepts about blockchain area.
Scope: test knowledge map as tool to engage in learning and discovery of training material.
Product: knowledge maps display a subject, illustrating a final user the essentials to know about the learning area the person want to tap into.
Interaction design: for each node in a map, a list of content and sources is available. For the whole map, a video can be available (suggested testing). The quality of video should be similar to Coursera and other MOOC providers.
Measurability : metrics on engagement of knowledge networks.
Audience: newbees in blockchain, laypeople who are introduced to novel concepts in blockchain, such as system design, gamification, opportunities in industries, personalities and influencers and other facts relevant to understand the context of a subject.
Experience: small documentaries introducing on hows and whys of a pinned-pointed knowledge areas.
An Atlas of knowledge maps allows to select maps explaining hows and whys of a specific subject.
Bob and Alice can select a map from the Atlas, open it in the fashion of NW.
A map is focused on a precise subject.
They can play the video explaining that subject.
Meanwhile, they can read content, such as articles or images, associated to each entity in the map.
NW will create an "Atlas" endpoint - a pinterest of knowledge maps.
Look and feel of maps will be as state-of-the-art of NW platforms at July 2018.
It is responsibility of the Video producer to explain hows and whys things are connected: NW provides a visual tool to endorse the divulging and learning experience, by showing the connections; NW provides a service to expand the map beyond the initial subject.
CM will draft maps to divulge knowledge at the best of own network editorial curation skills.
CM can create videos specific to a subject, and the corresponding map. CM can curate content that describe a map in a cohesive way. Reversively, CM could create a map showing what existing training videos are explaining.
Entities in map must have a corresponding entry in English Wikipedia, and comply with the possibility to expand a map beyond initial subject.
CM is encouraged to freely select which topics from the English Wikipedia are meaningful to be considered in a small documentary.
CM is discouraged to add novel topics in the English Wikipedia, because the community of Wikipedia might take time to consider acceptance of a novel topic, and it could break UX for browsing over a subject.
CM will map relevant content about entities that consider meaningful to be displayed.
NW will set up the endpoint "Atlas" on how platforms.
NW will provide look & feel as state-of-the-art of NW platforms in July 2018.
Add logic to allow users add own content.
Add smart-contract to allow tracking how content is consumed.