SilverLink

Inspiration

As a volunteer Silver Generation Ambassador, I have had the opportunity to interact with seniors in the community. At the same time, news of seniors being found deceased alone at home made me question: How can we identify seniors who may be socially isolated earlier, and ensure that no senior is overlooked?

As Singapore becomes a super-aged society, we believe technology and data can help social service agencies better understand where vulnerable seniors may be and prioritise limited resources where they are needed most.

What it does

SilverLink is a data-driven decision-support platform that helps social service agencies understand social isolation risk across Singapore.

The dashboard combines demographic, socioeconomic and social-service data to generate a Social Isolation Risk Index for different planning areas. It visualises risk hotspots, Active Ageing Centre (AAC) coverage, historical and projected risk trends, and areas that may require greater attention.

Rather than simply displaying data, SilverLink aims to turn these insights into actionable recommendations, such as identifying areas where additional outreach, volunteer visits or future AAC capacity could be prioritised.

How we built it

We combine open datasets from sources such as SingStat, HDB and MSF/AIC, including elderly population, living arrangements, socioeconomic indicators and locations of Active Ageing Centres.

Using the Databricks ecosystem, data is ingested and transformed before being used to develop our Social Isolation Risk Index. Machine learning and analytics are then used to identify patterns and higher-risk areas, with the results presented through an interactive dashboard and map.

Our pipeline follows:

Open Data → Lakeflow → Delta + Unity Catalog → MLflow → SQL / AI-BI → Genie → Databricks Apps

Challenges we ran into

One of our biggest challenges was that social isolation cannot be directly observed from open demographic data. Living alone, age or socioeconomic status may indicate vulnerability, but they do not necessarily mean that a senior is socially isolated.

Therefore, we designed SilverLink as a risk-prioritisation tool rather than a diagnostic tool. The goal is not to label individual seniors, but to help agencies identify areas where additional investigation and outreach may be valuable.

Another challenge was combining datasets collected at different geographical levels and ensuring that our risk indicators could be meaningfully compared.

Accomplishments that we're proud of

We are proud of turning fragmented open datasets into a solution that addresses a real community challenge.

Instead of building another dashboard that only reports statistics, SilverLink connects risk, location and service coverage to help decision-makers answer practical questions:

Where are potentially vulnerable seniors concentrated? Are existing services reaching these areas? Where should we prioritise our next outreach efforts?

Most importantly, we built the project around a simple principle: data should help us find the seniors who might otherwise be missed.

What we learned

We learned that solving social challenges with data is not simply about building the most accurate model. It requires understanding the limitations of the data and translating insights into decisions that people can actually act upon.

We also learned the importance of combining human experience with technology. Data can tell us where to look, but meaningful engagement with seniors still requires people, communities and social service organisations.

What's next for SilverLink

Our next step is to improve the Social Isolation Risk Index by incorporating more indicators and validating it with real-world outreach outcomes.

We envision SilverLink eventually incorporating more granular and regularly updated data, allowing agencies to track changing risk patterns, evaluate service coverage and improve resource allocation.

Ultimately, our vision is simple: use data to help social services know where to look, so fewer seniors fall through the cracks.

Built With

• claude
• data.gov.sg
• databricks