Silver Linkers

Inspiration

Singapore has entered a super-aged society, while the number of people and resources available for elderly outreach is limited. More than 80,000 elderly residents live alone, yet different agencies and volunteer groups may not have a shared view of where outreach is most needed or what other groups are already planning.

This made us ask a simple question: if there is only enough capacity for one more outreach effort, where should it go?

Silver Linkers grew from that question. Rather than simply visualizing elderly-related data, we want to help organizations turn existing public data into coordinated action.

What it does

Silver Linkers is a proposed shared platform that maps social isolation risk across Singapore and helps agencies and volunteer groups decide where to focus their next outreach effort.

It combines indicators such as elderly population, access to Active Ageing Centers, transport accessibility and community touchpoints into an explainable risk score for each area.

What makes Silver Linkers different from a normal dashboard is that it is designed to be interactive and shared. Organizations can log planned outreach activities, allowing others to see which areas are already being covered. The platform can then update its priority rankings so that the next outreach effort can be directed towards areas with greater unmet need.

How we plan to build it

For Round 1, we focused on designing the solution and its Databricks architecture rather than building the full application.

Our proposed pipeline starts with public datasets from data.gov.sg and SingStat. Using Databricks, the data would be ingested, cleaned and combined through a Bronze-Silver-Gold architecture. The resulting data would be used to calculate an explainable social isolation risk score and estimate where additional outreach could have the greatest impact.

The final output would be an interactive map of Singapore where users can explore risk levels, understand the factors contributing to them, and log planned outreach activities. Databricks Apps would provide the user-facing application, while the shared data layer would allow coverage and priority rankings to update as new activities are added.

Challenges we anticipate

The biggest challenge is that social isolation cannot be directly observed from the public datasets available to us. We therefore need to be careful not to claim that our score measures whether an individual is socially isolated. Instead, it represents area-level vulnerability based on transparent proxy indicators.

Another challenge is deciding how different indicators should be weighted. We want the score to remain explainable and grounded in evidence rather than assigning arbitrary weights.

Finally, different datasets are available at different geographical levels and formats, so integrating them into a consistent planning-area-level view will be an important technical challenge during development.

Accomplishments that we're proud of

Although Round 1 does not require a working build, we have developed a clear concept for how Silver Linkers could move beyond a conventional dashboard.

We identified relevant public datasets, designed an initial risk-scoring framework, planned the Databricks data architecture, and defined measurable outcomes such as coverage of high-risk areas and the proportion of outreach directed towards areas with greater need.

Most importantly, we developed the idea of treating outreach plans as shared data. This creates a feedback loop where each new activity changes where the next organization may be able to make the greatest difference.

What we learned

Designing Silver Linkers made us realize that having more data is not necessarily the main problem. Singapore already has useful datasets on its elderly population, services and infrastructure. The harder question is how to turn these separate datasets into information that supports an actual decision.

We also learned that an explainable risk indicator is more appropriate for our available data than claiming to predict social isolation directly. This helped us refine Silver Linkers from a prediction dashboard into a decision-support and coordination tool.

What's next for Silver Linkers

If selected for the next round, our first goal is to turn the concept into a working MVP.

We plan to build the data pipeline, create and validate our initial risk index, and develop an interactive Singapore map. We would then add outreach logging so that users can see existing coverage and how the priority of different areas changes when new activities are planned.

From there, we hope to test whether Silver Linkers can answer the question that inspired the project: where can the next outreach effort make the greatest difference?