a bot for Rocket.Chat to acknowledge and thank peers and to show leaderboard of thanks; for use in a randomized-controlled trial on social networks and entrepreneurship
-
Updated
Jul 13, 2017 - CoffeeScript
a bot for Rocket.Chat to acknowledge and thank peers and to show leaderboard of thanks; for use in a randomized-controlled trial on social networks and entrepreneurship
Desafio para criação de uma app funcional (web, mobile, desktop) em 24 horas
Susereum rewards code contributors with crypto credit (called Suse) when your code is deemed sustainable. Susereum integrates with your codebase seamlessly without changing your development infrastructures.
Assessing DC green infrastructure incentives
Experimental artefacts to reproduce our results published at SoCC 2017
Python Algorithm for the Targeting with Partial Incentives (TPI) problem. Adapted from the paper "Whom to Befriend to Influence People"
JavaScript tools and applications that interact with RibbonBlockchain smart contracts
A Rust service for using the Amazon Gift Card API
Support repository for article "Quadratic Payments with constrained probabilities"
Analysis of an RCT testing the effect of incentives on vaccine uptake
Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.
Pour les collectivités : designer les bonnes incitations pour permettre aux citoyens de mieux se déplacer avec des transports durables. Pour ces derniers : découvrir facilement et profiter de ces incitations en un clic.
JunoHack - Incentivized smart contract challenge on the Juno testnet/mainnet.
Plateforme pour proposer des activités sportives, incentives ou de 'Team Building' dans son entreprise
Subgraph for Uniswap V3. Modified to load incentive and staking data.
prototype storage subnet
Hackathon HEC Paris: EduTOz is an educative platform designed to address this Tezos learning process by offering a comprehensive learning experience and incentivizing community participation.
Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.
Add a description, image, and links to the incentives topic page so that developers can more easily learn about it.
To associate your repository with the incentives topic, visit your repo's landing page and select "manage topics."