flowdit is a connected worker platform tailored for industry needs in commissioning, quality, maintenance, and EHS management.
Optimize Frontline Operations: Elevate Equipment Uptime, Operational Excellence, and Safety with Connected Teams and Data, Including Issue Capture and Corrective Action.
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The top-rated AI recruiting platform for faster, smarter hiring.
Humanly is an AI recruiting platform that automates candidate conversations, screening, and scheduling.
Humanly is an AI-first recruiting platform that helps talent teams hire in days, not months—without adding headcount. Our intuitive CRM pairs with powerful agentic AI to engage and screen every candidate instantly, surfacing top talent fast. Built on insights from over 4 million candidate interactions, Humanly delivers speed, structure, and consistency at scale—engaging 100% of interested candidates and driving pipeline growth through targeted outreach and smart re-engagement. We integrate seamlessly with all major ATSs to reduce manual work, improve data flow, and enhance recruiter efficiency and candidate experience. Independent audits ensure our AI remains fair and bias-free, so you can hire confidently.
Lightweight Architecture for boundedly Rational Agents
For the purpose of policy simulation in coupled social-ecological systems (e.g. energy supply), a credible modelling of actors – especially citizens – and their decision processes is needed. This requires a framework capable of handling high numbers of heterogeneous agents (several hundreds of thousands). LARA (Lightweight Architecture for boundedly Rational Agents) meets these requirements and fills the gap between frameworks without built-in psychological foundations and full-fledged...
This project aims the requirement of managed informations / documents in the treatment of patients, i.e. integrated care. The underlaying data model implements standards of electronic health recording, the project is based on a SQL db and Java EE framework. This is currently a student driven project for educational purposes.
Konfidi is a trust framework that uses topical trust values from a social network of authenticated people. When you receive an email from someone you do not know, but he/she is in the network, Konfidi will compute an inferred trust value for you.
The Virtual Commons (http://commons.asu.edu) is an open software initiative devoted to computational experiments on collective action and resource governance and funded by Arizona State University's Center for Behavior, Institutions, and the Environment (http://cbie.asu.edu).
NOTE: we've moved our development to GitHub at https://github.com/virtualcommons - please look for the latest versions there.
JUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network.
New version now available on GitHub: https://github.com/jrtom/jung/releases/tag/jung-2.1
National University Community Research Institute's NU KEEPERRHHATT Algorithmic Framework is a series of meta-algorithms based upon the Longest Hamiltonian Path Problem for finding high level explanations to social, economic and political behaviour.
A framework for transferring implicit or tacit knowledge between members of a community. It works by observing the behavior of community members, and providing them with suggestions from other community members based on their past behavior.
Junto is a Java-based peer-to-peer framework which allows using, simulating, and testing different trust management models which can be employed in peer-to-peer networks. Junto is available for free under the terms of the GPL.
The JavaFramework for Computer Emulation (JFraCE) is a framework
written completely in Java for emulating (old)
computer systems on the software level. Currently only an emulator of a Z80-based CP/M machine is implemented.
A no-code toolkit for building responsive and resilient mobile business applications for Microsoft Power Platform, Dynamics 365, Dataverse and Salesfo
Deploying mobile apps with Resco takes days, not months—all without writing a single line of code. Workers can download the Resco app from AppStore, Google Play, or Windows Store, log into your company environment, and instantly use the app you have published on any device.