We create and release analytics tools and workflows in the public domain to benefit everyone

Open source software has been a fundamental driver of the modern world of computing. Collaborative code-sharing tools like GitHub have allowed programmers from around the world to collaborate on improving the software we use every day. This collaborative process enables: the sharing of ideas on what analysis could be done on a dataset, the sharing of useful scripts, and also enables the continuous refinement of procedures and techniques. This initiative is where we hope to release unique datasets, analytics tools and software packages in the public domain.

 

Data Repository

 

We firmly believe that data should be open and accessible. As part of our open analytics initiative, we are striving to collect, clean, document, and release wide varieties of datasets with broad applicability. Our data repository contains a number of datasets for your exploration – Repository

 

Applications

Here is a summary list of the applications created by OAITI under our various initiatives. Some of these are being used by public charitable institutions and individuals. The source code for these applications are available on the OAITI GitHub

 

Donor Matching

Donor Matching

This Shiny web application allows uses data from GuideStar to allow other non-profits to find potential donors! We used advanced text analysis algorithms to parse thousands of mission statements from funding agencies. When the non-profit types their mission statement, we find ...
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Energy Usage

Energy Usage

This Shiny web application allows users to upload energy data in a specific format and obtain an analysis of energy usage at various levels of aggregation. Sample data has been preloaded in the app so that it can be explored ...
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Neural Art Image Creator

Neural Art Image Creator

This Shiny web application implements a front-end to a Neural Art algorithm produced by Anish Athalye (2015). The Neural Style algorithm takes a content image, such as a picture of you, and a style image, such as some stylized pattern, ...
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Reported Bullying Incidents in Iowa School Districts

Reported Bullying Incidents in Iowa School Districts

This Shiny web application uses data from the Iowa Department of Education to map and analyze reported bullying incidents in Iowa School Districts from 2013 to 2016. Users can explore the interactive map at the district level. There is also ...
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Food Bar Recommender System

Food Bar Recommender System

This Shiny web application uses self-collected data on food bar preferences from OAITI meetings to implement a recommender system that predicts future food bar preferences. A number of recommender system methods are supported, including IBCF (Item-Based Collaborative Filtering) and POPULAR, ...
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If you are a non profit looking for a similar application – contact us
If you are an individual looking to contribute, visit our OAITI GitHub ! In the coming months, you will be able to see a list of open projects that you can volunteer for – here