Data Science for Social Welfare- Measurement and Efficiency

Introduction

An organization does the following -

1. Raises funds through donors, shareholders, stakeholders2. Spends funds through staff, messaging , programs3. Measures efficiency post spend and returns on invested time, effort

Data Science can help with fundraising (+) and costs(-) for shared value organizations

Databases for Shared Value Enterprises

Database of previous donors and donation history

Database of previous fundraising events

Database of corporate donors and foundations

Internet as a channel for raising funds through digital marketing

Data Science for Shared Value Enterprises

Web Analytics for who visits and who donates on website and social media

Social Media Monitoring for interested parties

Improving trackability of welfare aid program beneficiaries to act as convincing data based case studies for future

Eg. In past we did 4 skills based training programs in this area, and program attendees showed 45% higher employment than control group

Data Science for Fund Raising

Using Mobile Data for Fund Raising Events

Example- Door to door fundraisers can be tracked through simple mobile app that captures donation and GIS information (where donation was made)

Databases: Volunteers for Social Welfare

Using social media we can create database for potential current and future volunteers.

These (CAUSES) like portals can help streamline the volunteering process.

Example: you want to volunteer 2 hours a week for an education NGO within 15 minutes driving distance of your home

Technology:Decreasing Costs to Social Welfare

Using mobile advertising to communicate costs

Using mobiles and tablets to field staff to capture higher quality data

Using mobile videos to communicate field messaging back to HQ

Using beacons (RFID) to communicate data through Internet of Things

Using Dashboards to show real time automated costs tracking

ROI Transparency in Social Welfare

- mobile phone penetration is high in India- SMS based messaging is low cost alternative to mainstream media- video messaging on mobile is powerful and low cost- mobile app ecosystem can help create apps for NGOs- mobile phone data makes it possible to track program participant

- benefits they got and helps measure- effectiveness of social messaging- lower cost of data collection

Case Study 1 Analytics to reduce Open Defecation

- UK scientists have created nano-membrane toilets that can convert human waste to water and electricity ( say for charging points for mobile).

- small sensors connected to flush and door we can capture and transmit data of usage and cleanliness of these toilets

- by using spatial analytics enabled by Google MAPs like APIs we can finetune location for a portable nano-membrane toilet

Summary - Data Science for Social Welfare Impact Zones

Digital Crowd Sourcing

Digitise Impact Site

Analyse Big Data

Co-relate with Derived benefits

Fund Raise

Data Collection

Build Efficiency models

Measure Impact

Case Study 2 Analytics to maximize employability

- Technology like video lessons, apps, games we can enable habit changing interventions in literacy

- Example- Using smartphones for teaching coding, basic English, crafts can help give employable skills to people

- measuring student performance and engagement through mobile analytics can help with data on how to better customize training

Data Science for Social Welfare : Rising Momentum

iPredictt confidential document

References

- Analytics for Social Welfare Maximizing life Minimizing cost https://docs.google.com/document/d/1agLd4jV4QnDbdxTlaPrY-Wmapk46GuGXBbj4i25jWd4/

- http://escience.washington.edu/what-we-do/data-science-for-social-good

- http://dssg.io/

- https://ssa.uchicago.edu/science-social-welfare

- The presenter volunteered in Canadian Cancer Society (Alberta) (cancer aid) and a NGO funded by Mahindra Smart in Kandivilli East Slum area (job skills)

- iPredictt Data Labs (www.ipredictt.com ) is a premium data science company with offices in Gurgaon and Mumbai