Welcome to the Zoltar forecast archive, an open-source web application that facilitates the storage, retrieval, evaluation, and visualization of point and probabilistic forecasts. Zoltar was developed to assist with many kinds of real-time forecasting projects.
Designed to improve the robustness of forecasting research, Zoltar is a research data repository that stores forecasts made by external models in standard formats and provides tools for validation, visualization, and scoring. It builds off of a foundation of core ideas and data structures first introduced in 2019 by predx. Zoltar can host real-time or retrospective forecasting challenges, competitions, or research projects, with users specifying the forecast targets.
In June 2020, we released a preprint describing the concepts, data model, and intended scope of Zoltar.
Projects are the fundamental organization unit of Zoltar, and hold a collection of models and their forecasts. Project owners can customize the details of a project for a forecasting challenge, a collaborative research project, or a teaching workshop.
(Yeah, I don't know, either.)
Metaculus is a forecasting technology platform that optimally aggregates quantitative predictions of future events. Research shows that with the right incentives and feedback, groups of people can make remarkably accurate predictions of the probability of future events. Enabling this capacity is the aim of Metaculus.
Collective intelligence is at the heart of Metaculus. Our community has written thousands of questions and created hundreds of thousands of forecasts. The aggregation of the predictions of many forecasters is more accurate than that of (almost) any individual.
In addition to forecasting performance, the caliber of community discourse is very high on Metaculus. Through discussion, we can all learn from each other.
For these reasons, we will always welcome forecasting questions, suggestions, ideas, and input from our forecasters. We care about their experience, and we want to keep making it better.
REST API: https://www.metaculus.com/api2/
This Agora is a wiki like experimental social network and distributed knowledge graph. A node is the set of all notes and resources with a given title or otherwise mapping to an entity description. Subnodes (blocks) in a node can come from a variety of sources; they are resources volunteered by Agora users through their independent repositories. As of August 2021, these are mostly notes from digital gardens. The wikilink is the heart of this Agora: wikilinks serve as a tool to indicate a social context assembled out of individual and group contributions. In this Agora, foo bar will resolve to every resource that identifies with entity 'foo'; in particular, currently every file named foo-bar.md, foo-bar.jpg, foo-bar.png, etc. An Agora tries to best-effort integrate user contributions while preserving meaning and volunteering interesting information. You can also think of it as a sequential wiki.
The Living Library seeks to provide actionable knowledge on governance innovation. We identify for our core audience the “signal in the noise” by curating research, best practices, points of view, new tools, and developments. Spans topic areas from artificial intelligence, open data, and blockchain, to citizen science, open innovation, and civic technology. The platform has an international purview, with insights drawn from across the globe and relevant to a diversity of sectors. Research-based knowledge offerings. Appears to have some up-to-date data archived in some contexts.
An open source semantic network (Creative Commons license) for AI and ML development. Semantic nets encode the meaning of words and concepts for information processing systems. Seems to encompass several spoken languages. Curated to avoid stereotypes. Still an active project. Data elements have a concept of external URLs, which link to other data sources with machine-parseable data related to that element.
A publisher reprinting rare, forgotten, and unusual texts. Download them as .pdfs or purchase them online. Many categories are represented, from epic sagas to classical fiction, drama to architecture, history to technology.
A wiki as well as a meta wiki that tries to unify different sources of information for the purposes of scholarship and easy citation. Claims that it goes back to primary sources for its constructions. Offers fact maps and topic trees, among other knowledge structures.
An interactive visual search engine. An interactive mind map that links to other mind maps as well as sites. Designed to be explored but can also be searched.
Public instance here: https://learn-anything.xyz/