add framework for selected studies in our studies

app/ui.R

@@ -1,5 +1,42 @@
 library(bslib)
 
+study_card <- function(
+  title,
+  authors,
+  journal,
+  year,
+  abstract,
+  doi = NULL
+) {
+  card(
+    fill = FALSE,
+    card_body(
+      div(
+        class = "d-flex justify-content-between align-items-start gap-3",
+        div(
+          class = "flex-grow-1",
+          h5(class = "mb-2", strong(title)),
+          span(class = "badge bg-secondary mb-2", year),
+          tags$small(class = "text-muted", strong(journal)),
+          p(class = "text-muted small mb-1", authors),
+          p(abstract)
+        ),
+        div(
+          class = "text-end flex-shrink-0",
+          if (!is.null(doi)) {
+            a(
+              class = "btn btn-outline-primary btn-sm mt-2",
+              href = doi,
+              target = "_blank",
+              "View Paper"
+            )
+          }
+        )
+      )
+    )
+  )
+}
+
 download_card <- function(
   title,
   description,
@@ -604,7 +641,44 @@ ui <- page_navbar(
   ),
   nav_menu(
     "About",
-    nav_panel("Our Studies"),
+    nav_panel(
+      "Our Studies",
+      layout_columns(
+        col_widths = c(-2, 8, -2),
+        div(
+          class = "py-3",
+          h4("Research", class = "mb-1"),
+          p(
+            class = "text-muted mb-4",
+            "The datasets and methodologies in this application are grounded in peer-reviewed research. The studies below document the normalization frameworks, data sources, and analytical approaches used throughout."
+          ),
+          study_card(
+            title = "Normalized Hurricane Damage in the United States: 1900-2022",
+            authors = "Joanne Muller, Kaylee Mooney, Steven G. Bowen, Philip J. Klotzbach, Tynisha Martin, Tom J. Philp, Bhatt Dhruvkumar, Richard S. Dixon, Senthil B. Girimurugan",
+            journal = "Bulletin of the American Meteorological Society",
+            year = "2025",
+            abstract = "Since 1900, landfalling hurricanes have been the costliest of all weather-related disasters to afflict the contiguous United States. To provide a present-day (2022) reevaluation of this risk, this study employs an improved normalization approach to better understand potential economic event losses in the context of contemporary societal conditions. The updated methodology identifies impacted coastal counties using the newly available radius of maximum winds at landfall. Hurricane Katrina is the most expensive hurricane since 1900, with a likely 2022 normalized cost of $234 billion. Combined losses from the 50 most expensive hurricane events are ∼ $2.9 trillion in normalized economic losses. The study also explores some “analog storms” where comparisons can be made between two historic storms with similar landfall locations. For example, category 5 Andrew (1992) has lower 2022 normalized losses than category 4 Great Miami (1926), at $125 billion versus $178 billion, most likely due to the significantly different radius of maximum wind size (10 vs 20 n mi; 1 n mi = 1.852 km). As with previous studies, we conclude that increases in inflation, coastal population, regional wealth, and higher replacement costs remain the primary drivers of observed increases in hurricane-related damage. These upsurges are especially impactful for some coastal regions along the U.S. Gulf and Southeast Coasts that have seen exceptionally high rates of population/housing growth in comparison to countrywide growth. Exposure growth trends are likely to continue in the future and, independent of any influence of climate change on tropical cyclone behavior, are expected to result in greater hurricane-related damage costs than have been previously observed.",
+            doi = "https://doi.org/10.1175/BAMS-D-23-0280.1"
+          ),
+          study_card(
+            title = "Continental United States direct Atlantic tropical cyclone fatalities: 1963-2024",
+            authors = "Joanne Muller, Abigail M. Idzik, Dylan Benzi, Philip J. Klotzbach, Heather Skaza Acosta, Daniel R. Chavas, Sebastian Aspron Urdaneta, Charles T. Gray, Jamie E. Morris, Senthil B. Girimurugan, Dhruvkumar Bhatt",
+            journal = "npj Natural Hazards",
+            year = "2026",
+            abstract = "Tropical cyclone (TC) fatality attribution is critical for understanding changing risk patterns, warning effectiveness, and informing emergency management strategies. Despite this, publicly available TC fatality time series data are incomplete. The last publication on TC fatalities, broken down by peril, spanned 1963–2012. To extend this record and capture more recent trends in TC mortality patterns, we present a publicly accessible fatalities database of direct continental United States TC fatalities spanning 1963–2024. We find that the leading cause of TC fatalities is freshwater flood (36%) followed by storm surge (33%). Freshwater flood fatalities are common across storms (10% of storms have >1 fatality), whereas surge fatalities are concentrated in a smaller number of high-impact events (3% of storms have >1 fatality). We also note that high fatality years tend to coincide with high seasonal Atlantic accumulated cyclone energy, with low fatality years coinciding with lower seasonal accumulated cyclone energy.",
+            doi = "https://doi.org/10.1038/s44304-026-00178-8"
+          ),
+          study_card(
+            title = "Normalized Continental US Tropical Cyclone Damage Estimates from 1900-2023: An Updated Methodology and Expanded Dataset",
+            authors = "Kaylee Mooney, Joanne Muller, Philip Klotzbach, Senthil B Girimurugan, Dhruvkumar Bhatt, Steven G. Bowen, Dylan Benzi, Abigail Marie Idzik",
+            journal = "Earth and Space Science",
+            year = "TBD",
+            abstract = "This study presents expanded and updated normalized economic damage estimates for continental US landfalling hurricanes and tropical storms from 1900 to 2023. Here we refine our previously developed methodology by incorporating radius of maximum wind-based area weightings for population and housing unit adjustments through time. The updated methodology corrects for overestimation and underestimation issues found in previous models. Herein, two normalization paths are presented—Muller and Mooney Population and Muller and Mooney Housing—to account for changes in inflation, wealth, and population and housing unit changes, respectively. Additionally, this study extends our original 50-storm dataset to 201 storms, significantly improving the historical scope and analytical power of continental United States tropical cyclone normalized loss data. Older storms like the Great Miami Hurricane (1926) remain among the most economically damaging after 2023 normalization, surpassing even recent events such as Hurricane Katrina (2005) and Hurricane Harvey (2017). This research underscores the impact of increasing coastal exposure, emphasizing how continued population growth and development in vulnerable areas are key drivers of rising tropical cyclone-related economic losses.",
+            doi = "https://doi.org/10.22541/essoar.175710759.96236986/v1"
+          )
+        )
+      )
+    ),
     nav_panel("MMH/MMP Methodology")
   )
 )