Addition of newest report

public/reports/report-2023-09-14.md

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+In this report, we explore the potential of two different types of mobility data for pandemic modeling.
+Our previously used mobile cell-based "longitudinal" data is complemented by GPS-based "cross-sectional" data. We explain the advantages and disadvantages of both data sources: GPS-based data are characterized by higher accuracy in terms of location, but are available in a much smaller sample compared to the mobile cell data. However, the higher accuracy allows different activity types (such as school, work or restaurant) to be evaluated separately - this is not easily possible with cellular data.
+The integration of GPS data reduces manual effort, reinforces the data-driven nature of the model, and minimizes model assumptions. This report presents preliminary results and validations of GPS data for the first year of the pandemic. The combination of both data sources offers potential to explore behavioral changes during the pandemic in more detail and improve pandemic modeling.
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src/assets/reports.ts

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 const reports: { md: string; title: string; url: string; html: string }[] = [
+  {
+    md: '/reports/report-2023-09-14.md',
+    title: '14 September 2023',
+    url: 'https://doi.org/10.14279/depositonce-18603',
+    html: '',
+  },
   {
     md: '/reports/report-2023-06-16.md',
     title: '16 June 2023',