Data Science for Effective Good
SEADS is a Data Science consultancy focused on supporting highly-effective charities. Our services cover a broad range from executing concrete projects to using data for informing strategical decisions or optimizing data pipelines in your organization. We can help you with a broad range of projects, including:
Even if you don’t have a concrete project in mind, but think that you could benifit from better interaction with your data, please reach out to us!
Exploratory data analysis for the Fish Welfare Initiative to inform fish farming policies in India. Investigation of how water quality (e.g. oxygen concentration) varied across fish farms, depending on the installed facilities, and influenced fish disease and population.
ClearerThinking developed a tool that helps people to understand their values and decide on the best way to maximize their positive impact. For Giving What We Can, our team analyzed user responses from this tool to obtain insights that could inform the development of a similar one for deciding on target charities for donations.
Analysis of how the popularity of the EA forum changed over time and how views are distributed across posts and topics.
See the post for more details.
On behalf of CEA, SEADS analyzed survey data for EA Global events (as well as EAGx and EAG Virtual events) ranging from 2016 to 2020. We estimated value based on how likely articipants were to recommend future conferences. We concluded from our analysis that community-related variables (such as feeling welcome or making connections with new people) are more closely linked to this likelihood than content-related variables (such as enjoyment of speaker sessions). Our demographic analysis of community-related variables yielded no significant differences based on participants’ age, ethnicity, or gender.
See our post for more details.
TalkItOver is a mental health chatbot inspired by the Samaritans’ methodology.
For this project we:
Scraping of GWWC Twitter network and network analysis on most influential nodes. The aim is to improve the spreading of EA ideas.