ongov / Transparency-Guidelines
Minimize the risks and maximize the benefits of using data-driven technologies within government processes, programs and services through transparency. | Réduire les risques et à maximiser les avantages liés à l’utilisation de technologies axées sur les données, dans le cadre de processus, programmes et services gouvernementaux, grâce à la trans…
☆12Updated 3 years ago
Alternatives and similar repositories for Transparency-Guidelines:
Users that are interested in Transparency-Guidelines are comparing it to the libraries listed below
- Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthiq…☆27Updated 3 years ago
- Teaching materials and resources for computational and quantitative social science methods.☆23Updated 3 years ago
- The data and analysis referenced in the Dec. 7, 2015 BuzzFeed News article, "Here's What We Know About Race And Killings By Police." htt…☆14Updated 9 years ago
- ☆27Updated 3 years ago
- DataKind UK Data Ethics Book Club processes and materials☆10Updated last year
- The Data Science and AI Educators' Programme☆32Updated 10 months ago
- This repository contain a dataset describing the urgency of admission among COVID-19 patients, intended for use in a predictive modeling …☆10Updated 5 years ago
- Materials from my Princeton University course WWS586A: Machine Learning for Policy Analysis☆21Updated 3 years ago
- "Actionable Ethics for Data Scientists" Workshop Material @ ODSC☆10Updated 11 months ago
- The SAS pipefitter package provides a Python API for developing pipelines for data transformation and model fitting as stages of a repeat…☆12Updated 3 months ago
- Repository for the Algorithms course☆22Updated 8 years ago
- Sample SAS programs that use SAS/ACCESS engines to connect to your data source. Use these for testing and for learning!☆23Updated 6 months ago
- Syllabus for COS 597E/SOC 555 Limits to Prediction, Fall 2020, Princeton University☆29Updated 4 years ago
- Political Misogynistic Discourse Monitor team from the 2021 JournalismAI Collab Challenges☆20Updated last year
- Data, code, and methodology supporting BuzzFeed News' analysis of the 2016 U.S. Census Survey of Income and Program Participation☆9Updated 2 years ago
- ☆10Updated 9 months ago
- R and Python packages supporting Delphi's COVIDcast effort.☆33Updated 8 months ago
- A Baltimore Sun analysis of the condition of bridges in the state of Maryland, with a focus on bridges in the Baltimore area.☆15Updated 6 years ago
- Online exercise classes for the course "Social Data Science: Econometrics and Machine Learning"☆11Updated 4 years ago
- NYU Shortcourse -- "Data Science and Social Science" materials☆38Updated 6 years ago
- learn.r-journalism.com☆37Updated 4 years ago
- ☆43Updated 2 years ago
- Course materials for a data visualization course taught at the University of Nebraska-Lincoln's College of Journalism and Mass Communicat…☆68Updated 7 years ago
- Workshop material for the Vancouver DataJam☆21Updated 3 years ago
- Survival-Convolution Model for COVID-19 Prediction☆16Updated 4 years ago
- A curated list of resources for (aspiring) data journalists☆24Updated 4 years ago
- IHME's Python data science curriculum for new employees☆29Updated 4 years ago
- Source code for 'Business Case Analysis with R' by Robert D. Brown III☆29Updated 7 years ago
- US Wildfire Dashboard☆16Updated 2 years ago
- Data Journalism training materials☆17Updated 3 years ago