Fractal Flows is a Decentralized Science application for aggregation, curation and unleashing of underlying hard evidences, which we call “knowledge bits” (see examples: [https://drive.google.com/drive/folders/1S0-LywB1QLUKVmERF1N7cdzgLAhBo1ZP](https://drive.google.com/drive/folders/1S0-LywB1QLUKVmERF1N7cdzgLAhBo1ZP)), and emergence of consensus reports around scientific claims via human-AI interactions. Anyone can contribute aggregating knowledge bits or adding their opinions and arguments and anyone can apply to become an official validator and curate contributions via an open process. All contributors get rewarded for their productive efforts with fractions of an IP-NFT representing a claim, which in the future can yield profits from scientific consensus reports sales or by selling the IP-NFT fractions in an open decentralized market. Fractal Flows is a decentralized autonomous platform without gatekeepers where normal citizens, domain experts and AI play intricate and delicate roles to push the open scientific process forward.

The project aims to solve two major problems in science: (1) the reproducibility crisis, which is generated by an obsolete publishing format for papers based on PDFs that don’t bring with it the artifacts or hard evidences necessary for others scientists to verify what is claimed on publications, thus lowering scientific variance and quality, and (2) the ever growing number of scientific papers being published every year making it difficult for a scientist (but not limited to, as other professionals and citizens in general can use the application to inform their decisions as well) to keep up with the state-of-the-art of their area of expertise or to have an overview of the scientific consensus of specific claims from other domains of knowledge without reviewing the whole literature related to it.

### Roadmap

**Q2 2023**

- Integrate MultiVerS evidence-aggregation classifier ([https://github.com/dwadden/multivers](https://github.com/dwadden/multivers)) with main application to automatically extract evidences from a pool of millions of Open Access paper abstracts indexed on an ElasticSearch instance.

**Q3 2023**

- Develop “official validator” features. These validators are experts in specific domains of knowledge and, via an open process, they gain permissions to curate evidences that are aggregated by contributors;
- Implement the Research Objects standard ([https://www.researchobject.org/](https://www.researchobject.org/)) via an integration with DeSci Nodes publishing platform ([https://www.desci.com/nodes](https://www.desci.com/nodes)) to adopt enhanced publications as evidence;
- With the curated evidence, generate summaries using an open-source and reproducible LLM, like GPT4All [https://github.com/nomic-ai/gpt4all](https://github.com/nomic-ai/gpt4all).

**Q4 2023**

- Onboard scientists and gather feedback;
- Design and implement new branding/UI/UX.

**Q1 2024**

- Launch MVP;
- Marketing campaigns.