add SEIS 2025 usage/impact sample

index.html

@@ -1259,7 +1259,7 @@
 
         <div class="sample-controls">
           <div class="sample-seg" role="tablist" aria-label="Sample category">
-            <button type="button" class="sample-seg-btn active" data-category="holdout" role="tab" aria-selected="true">REAL WORLD (13)</button>
+            <button type="button" class="sample-seg-btn active" data-category="holdout" role="tab" aria-selected="true">REAL WORLD (14)</button>
             <button type="button" class="sample-seg-btn" data-category="synthetic" role="tab" aria-selected="false">SYNTHETIC (3)</button>
           </div>
           <button type="button" class="sample-shuffle-btn" id="sample-shuffle" title="Pick a random sample from active category">
@@ -1283,6 +1283,7 @@
           <button type="button" class="sample-chip" data-sample="13">Sending areas (VHLSS)</button>
           <button type="button" class="sample-chip" data-sample="14">Gender norms (DHS/WVS)</button>
           <button type="button" class="sample-chip" data-sample="15">Return (IOM Index)</button>
+          <button type="button" class="sample-chip" data-sample="16">SEIS 2025 usage/impact</button>
         </div>
 
         <div class="samples-group" data-group="synthetic" hidden>

main.js

@@ -57,6 +57,7 @@ const SAMPLES = [
   "In order to proxy for the origin characteristics, a set of economic variables aggregated at the province (and urban/rural) level is used. Average per capita monthly household expenditures and average per capita land areas owned by households are computed by province (and urban/rural) from the VHLSS 2004 in order to capture living standards and the opportunities for agricultural, forestry, and fishery activities. To proxy for the chance of obtaining a job in the state sector, the proportion of state workers in total employment at each sending area is calculated from the VHLSS 2004. In terms of the proportion of workers employed by foreign firms, the number of workers in the latter sector for each location is taken from the Enterprise Survey data (GSO) and divided by total employment.",
   "Following the survey identification, we proceeded to review the indicators in the identified surveys that were related to norms and female labor force participation. Building on the literature on agency and empowerment, we identified a set of indicators and variables repeatedly appearing in the literature as norms-related indicators. The surveys considered included the Demographic and Health Survey (DHS), World Values Survey (WVS), Multiple Indicator Cluster Surveys (MICS), Gallup Poll, and Gender and Adolescence: Global Evidence (GAGE). WVS, though not available for all countries in the region, was selected due to the availability of gender attitude variables that could serve as a proxy for relevant norms. Upon careful review, the latter three were dropped due to limited data availability and duplication of variables already available in the DHS.",
   "According to IOM's Integrated Location Assessment 4, the rate of physical violence, threats, mistrust and returnees feeling unwelcome decreased within 12 months, but still remained. Context indicators such as blocked return, social cohesion and movement restriction remained similar, according to IOM's Return Index 12. Context indicators in Yathrib showed marked improvement, with threats between tribal groups, blocked IDP return, and returnees feeling unwelcome reported before the LPA was signed and absent three months post-signature.",
+  "The SEIS 2025 dataset and its reports were published in December 2025 on the UNHCR Microdata Library. A year later, its uptake is broad. Across agencies, the Ukraine Refugee Response Plan (RRP) relied heavily on SEIS, with 200 citations confirmed and roughly 100 more potentially. In the private sector, Deloitte quoted SEIS in its European Labour Market Outlook and its CEE Ukrainian-refugee integration study, both of which draw on SEIS findings. Among governments, Poland uses SEIS to update its 2026 refugee integration strategy and adjust labour-market access provisions, while Romania draws on SEIS for its own integration planning. In research and academia, SEIS microdata pulled from the UNHCR Microdata Library has been used by several universities and cited in peer-reviewed studies on refugee labour-market outcomes and education access. Media coverage of SEIS has also been widespread.",
 ];
 
 // --- status logging + progress -------------------------------------------------