The Data Refuge Project
Key Takeaways
The DataRefuge Project is a collaborative effort to preserve government data, led by the UPenn Program in Environmental Humanities and the Penn Libraries group, using tools like data scraping and cloud storage.
Original Description
DataRefuge is a public collaborative, grassroots effort around the United States in which scientists, researchers, computer scientists, librarians and other volunteers are working to download, save, and re-upload government data. The DataRefuge Project, which is led by the UPenn Program in Environmental Humanities and the Penn Libraries group at University of Pennsylvania, aims to foster resilience in an era of anthropogenic global climate change and raise awareness of how social and political events affect transparency.
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from Data Skeptic · Data Skeptic · 9 of 60
1
2
3
4
5
6
7
8
▶
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Data Skeptic book giveaway contest winner selection
Data Skeptic
OpenHouse - Front end and API overview
Data Skeptic
OpenHouse Crawling with AWS Lambda
Data Skeptic
[MINI] Logistic Regression on Audio Data
Data Skeptic
Data Provenance and Reproducibility with Pachyderm
Data Skeptic
[MINI] Primer on Deep Learning
Data Skeptic
Big Data Tools and Trends
Data Skeptic
[MINI] Automated Feature Engineering
Data Skeptic
The Data Refuge Project
Data Skeptic
[MINI] The Perceptron
Data Skeptic
[MINI] Feed Forward Neural Networks
Data Skeptic
Data Science at Patreon
Data Skeptic
[MINI] Backpropagation
Data Skeptic
[MINI] GPU CPU
Data Skeptic
OpenHouse
Data Skeptic
[MINI] Generative Adversarial Networks
Data Skeptic
[MINI] AdaBoost
Data Skeptic
[MINI] The Bootstrap
Data Skeptic
[MINI] Dropout
Data Skeptic
[MINI] Gini Coefficients
Data Skeptic
[MINI] Random Forest
Data Skeptic
[MINI] Heteroskedasticity
Data Skeptic
[MINI] ANOVA
Data Skeptic
Urban Congestion
Data Skeptic
[MINI] The CAP Theorem
Data Skeptic
Unstructured Data for Finance
Data Skeptic
Detecting Terrorists with Facial Recognition?
Data Skeptic
Predictive Models on Random Data
Data Skeptic
[MINI] Entropy
Data Skeptic
[MINI] F1 Score
Data Skeptic
Causal Impact
Data Skeptic
Machine Learning on Images with Noisy Human-centric Labels
Data Skeptic
The Library Problem
Data Skeptic
Stealing Models from the Cloud
Data Skeptic
Data Science at eHarmony
Data Skeptic
Multiple Comparisons and Conversion Optimization
Data Skeptic
Election Predictions
Data Skeptic
[MINI] Calculating Feature Importance
Data Skeptic
MS Connect Conference
Data Skeptic
Music21
Data Skeptic
The Police Data and the Data Driven Justice Initiatives
Data Skeptic
Studying Competition and Gender Through Chess
Data Skeptic
[MINI] Goodhart's Law
Data Skeptic
Trusting Machine Learning Models with LIME
Data Skeptic
[MINI] Leakage
Data Skeptic
Predictive Policing
Data Skeptic
Mutli-Agent Diverse Generative Adversarial Networks
Data Skeptic
[MINI] Convolutional Neural Networks
Data Skeptic
Unsupervised Depth Perception
Data Skeptic
[MINI] Max-pooling
Data Skeptic
MS Build 2017
Data Skeptic
Activation Functions
Data Skeptic
Doctor AI
Data Skeptic
[MINI] The Vanishing Gradient
Data Skeptic
CosmosDB
Data Skeptic
Estimating Sheep Pain with Facial Recognition
Data Skeptic
[MINI] Conditional Independence
Data Skeptic
MINI: Bayesian Belief Networks
Data Skeptic
Project Common Voice
Data Skeptic
[MINI] Recurrent Neural Networks
Data Skeptic
More on: Reading ML Papers
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
I Spent Weeks Looking for a Research Gap Before I Realized I Was Searching the Wrong Way
Medium · AI
ICMI 2026 Reviews [D]
Reddit r/MachineLearning
Workshop submission for main conference paper under review [D]
Reddit r/MachineLearning
Kept context-switching between arxiv, OpenReview, GitHub, and HuggingFace for every paper, so I built this. Chrome extension + website with everything inline, plus citation graph + SPECTER2 neighbors. 3M papers, free, feedback welcome [P]
Reddit r/MachineLearning
🎓
Tutor Explanation
DeepCamp AI