1. Data science can help social welfare organizations improve fundraising, measure program efficiency, and demonstrate impact. Databases can track donors and events, and analytics can optimize websites and social media. 2. Mobile data and apps allow tracking beneficiaries to evaluate aid programs and create compelling case studies. This data provides evidence for future fundraising. 3. Technologies like mobile advertising, field tablets, and dashboards can help communicate costs and track spending in real-time, increasing transparency. Overall, data science supports efficiency and accountability across the social sector.

1. Data Science for Social Welfare-
Measurement and Efficiency

2. Introduction
An organization does the following -
1. Raises funds through donors, shareholders, stakeholders
2. Spends funds through staff, messaging , programs
3. Measures efficiency post spend and returns on invested time, effort
Data Science can help with fundraising (+) and costs(-) for shared value
organizations

3. 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

4. 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

5. 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)

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. Data Science for Social Welfare :
Rising Momentum

13. 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