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https://github.com/neelsoumya/public_open_source_data_science

A repository of open source data science projects for social good
https://github.com/neelsoumya/public_open_source_data_science

citizen-data-science citizen-science data-analysis data-science datascience datascience-social-good datascience-socialgood deep-learning machine-learning paper python social

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A repository of open source data science projects for social good

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README

        

# Introduction

Source code and data for open source data science for social good. This is a data science portfolio.

# List of projects

1) university_sexcrimes

Analysis of data on sex crimes in US university campuses.

2) heart_disease_risk_prediction

Predicting heart disease risk from open data.

3) cancer_mortality_prediction

Predicting cancer survival using logistic regression from open data.

4) predicting_news_popularity

Predicting popularity of news articles from open data.

5) opensource_mapping_project

Open source mapping project.

6) astroinformatics

Analysis of astronomy data using machine learning techniques.

7) scientific_collaboration

Project to analyze planetary scale scientific collaboration data.

8) accident_prediction

Road accident forecasting and data exploration project.

Interactive website using shiny at:

https://neelsoumya.shinyapps.io/accident_prediction/

9) patterns_in_crime

Predicting patterns of crime using data science. Larger cities have disproportionately more crime per capita compared to smaller cities (super-linear scaling of crime). We used techniques from dynamical systems and complex systems to explain the super-linear scaling of crime in cities and other socio-technological systems

10) spam_classification

Building an SVM based spam classifier trained on data from the UCI repository

11) breast_cancer_prediction

Downloads data from the UCI machine learning repository to make predictions
for breast cancer. A few features turn out to be really important for prediction like epithelial cell size. This uses a random forest.

12) funding_trends_science

Project to analyze data on funding trends in biomedical science.

13) infectious_disease_prediction

Project to analyze data on emerging infectious diseases.

14) forecasting_imports

Project to forecast imports and model supply chains.

15) deep_learning_basic

Basic deep learning model using keras for prediction.

16) ai_healthcare

Machine learning and AI applied to healthcare.

17) ai_social_good

Machine learning, data science and AI for social good.

18) ai_bigdata_biology

Machine learning and bioinformatics for big data in biology.

19) browser_based_data_science

Browser based data science for democratic access to data science tools.

20) clinical_informatics

Open source privacy-preserving clinical informatics.

21) policy_paper_general_public

Policy paper for general public on Ethical Artificial Intelligence (EAI) for social good.

22) nlp

Resources, code and data for natural language processing.

23) self_organising_map_wine_dataset

A self organising map (SOM) on the UCI wine dataset using the Orange data science tool.

24) outreach

Outreach for machine learning and AI for general public

25) teaching_resources

Teaching resources for machine learning, data science and AI for a general audience

### What is this repository for? ###

* Quick summary

* Open source code and data for open source data science.

### Citation ###

* If you use this code, please cite the paper and code

* Citizen Data Science for Social Good: Case Studies and Vignettes from Recent Projects https://doi.org/10.13140/RG.2.1.1846.6002

* Citizen Data Science for Social Good in Complex Systems, Interdisciplinary Description of Complex Systems, 16(1):88-91, 2018 http://indecs.eu/index.php?s=x&y=2018&p=88-91

* Banerjee, Soumya. (2017, September 3). Citizen Data Science for Social Good: Case Studies and Vignettes from Recent Projects (Supplementary Resources). Zenodo. http://doi.org/10.5281/zenodo.883783

![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.883783.svg)](https://doi.org/10.5281/zenodo.883783)

* These projects are an example of my approach to data science for good. I work very closely with domain experts and stakeholders and use computational tools for good. I outline my design and work philosophy below.

* ![data science philosophy](research_philosophy.png)

### Installation ###

Install R, R Studio, MATLAB and Python

Install R

https://www.r-project.org/

and R Studio

https://www.rstudio.com/products/rstudio/download/preview/

```r
source("https://raw.githubusercontent.com/neelsoumya/rlib/master/INSTALL_MANY_MODULES.R")
```

Install Python dependencies as follows:

```r
pip3 install -r requirements.txt
```

### Contact ###

Soumya Banerjee

https://sites.google.com/site/neelsoumya/

[email protected]