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assets/bibfiles/journal.bib

@@ -1,8 +1,8 @@
 % 2025
-@article{Montero2024,
+@article{Montero2025,
 	title        = {Earth System Data Cubes: Avenues for advancing Earth system research},
 	author       = {Montero, David and Kraemer, Guido and Anghelea, Anca and Aybar, César and Brandt, Gunnar and Camps-Valls, Gustau and Cremer, Felix and Flik, Ida and Gans, Fabian and Habershon, Sarah and et al.},
-	year         = 2024,
+	year         = 2025,
 	journal      = {Environmental Data Science},
 	volume       = 3,
 	pages        = {e27},

content/seminars/2023/use-misuse-opportunities-chatgpt.md

@@ -1,7 +1,8 @@
 ---
-title: <a href='/files/3-3-2023 - chatGPT for the kids.pdf'>Use, misuse, opportunities and pitfalls of chatGPT</a>
+title: Use, misuse, opportunities and pitfalls of chatGPT
 date: "2023-03-03"
 speaker: "Gustau Camps"
 affiliation: "ISP/UV"
 img: gus18.webp
 ---
+<!-- <a href='/files/3-3-2023 - chatGPT for the kids.pdf'> -->

content/seminars/2024/Mortiz_11.md

@@ -2,7 +2,7 @@
 title: "Operational SM and VOD algorithms for the upcoming CIMR mission"
 date: "2024-11-22"
 speaker: "Moritz"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "MoritzLink_Bio.webp"
 abstract: "The Copernicus Imaging Microwave Radiometer (CIMR) is a multi-frequency passive microwave mission, planned for launch in 2029. We discuss the design of operational L2 algorithms for soil moisture (SM) and vegetation optical depth (VOD) retrievals from L-, C-, and X-band microwave observations."

content/seminars/2024/cesar_09.md

@@ -2,7 +2,7 @@
 title: "Taco: FAIR Spatio-Temporal Machine Learning Dataset"
 date: "2024-09-06"
 speaker: "Julio Contreras & Cesar Aybar"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: "https://tacofoundation.github.io/"
 img: "taco.webp"
 abstract: "Over the past decade, significant advancements have been made in climate and earth observation, primarily driven by machine learning algorithms. The key to the success of these algorithms lies in the quantity and quality of the datasets used. Paradoxically, creating large, high-quality datasets remains one of machine learning development's most undervalued and overlooked aspects. The current state indicates that finding the right dataset for the task at hand can be challenging, and few (if any) datasets fully adhere to the FAIR (Findable, Accessible, Interoperable, and Reusable) guidelines. In response to this challenge, we introduce the Taco specification, a new standard to facilitate the creation of fully FAIR Earth Observation and Climate datasets. Taco is inspired by the specifications of Croissant Responsible AI (RAI) and the SpatioTemporal Asset Catalog (STAC). Additionally, it incorporates naming conventions from the OGC Training Data Markup Language. To demonstrate the effectiveness of Taco, we have converted all existing cloud detection datasets to this new standard, resulting in the largest multi-sensor and multi-temporal dataset, consisting of over 200,000 human-labeled images."

content/seminars/2024/deborah.md

@@ -2,7 +2,7 @@
 title: "Heatwave forecasting with quantile regression"
 date: "2024-06-21"
 speaker: "Deborah Bassotto"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "deborah.webp"
 ---

content/seminars/2024/deborah_12.md

@@ -2,7 +2,7 @@
 title: "Work with Tom"
 date: "2024-12-13"
 speaker: "Deborah"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "deborah.webp"
 ---

content/seminars/2024/ernesto_07.md

@@ -3,7 +3,7 @@ title: "Adaptive posterior distributions for covariance matrix learning in Bayes
 date: "2024-07-26"
 speaker: "Ernesto Curbelo"
 affiliation: "Universidad Carlos III de Madrid"
-link: "uc3m.webp"
-img: ""
+link: ""
+img: "uc3m.webp"
 abstract: "In this work, we propose an adaptive importance sampling (AIS) scheme for multivariate Bayesian inversion problems, which is based in two main ideas: the inference procedure is divided in two parts and the variables of interest are split in two blocks. We assume that the observations are generated from a complex multivariate non-linear function perturbed by correlated Gaussian noise. We estimate both the unknown parameters of the multivariate non-linear model and the covariance matrix of the noise. In the first part of the proposed inference scheme, a novel AIS technique called adaptive target AIS (ATAIS) is designed, which alternates iteratively between an IS technique over the parameters of the non-linear model and a frequentist approach for the covariance matrix of the noise. In the second part of the proposed inference scheme, a prior density over the covariance matrix is considered and the cloud of samples obtained by ATAIS are recycled and re-weighted for obtaining a complete Bayesian study over the model parameters and covariance matrix. Two numerical examples are presented that show the benefits of the proposed approach."
 ---

content/seminars/2024/gherardo.md

@@ -2,7 +2,7 @@
 title: "Staged Event Trees for Transparent Treatment Effect"
 date: "2024-09-27"
 speaker: "Gherardo"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "gherardo.webp"
 abstract: "Average and conditional treatment effects are fundamental causal quantities to evaluate the effectiveness of treatment in various critical applications, including clinical settings and policy-making. Taking aside the gold-standard estimators obtained with randomized trials, multiple methods have been proposed to estimate treatment effects using observational data. Here, we show how a class of graphical models, termed staged event trees, can be effectively used for the aforementioned causal inference tasks. These models offer the advantage of being easily interpretable, enhancing their utility in practical applications. We implement classical estimators using staged event trees and showcase their capabilities through simulation studies and real-world applications."

content/seminars/2024/gustau2024_1.md

@@ -2,7 +2,7 @@
 title: "Ivan (introduction) + Gustau (The science system, [part1](https://docs.google.com/presentation/d/1quJr7MfjFYStLJUCnhCSR7p5R5bIKK_fkoHYnAFo3Ew/edit?usp=sharing), [part2](https://docs.google.com/presentation/d/1SMN1WpXZY02DEvVizCOzpVrTsf9mGenonNbrJYG9iv0/edit?usp=sharing))"  # Seminar title, automatically generated based on the file name (Mandatory)
 date: "2024-05-31"         # Automatically generated current date in format YYYY-MM-DD (Mandatory)
 speaker: "Ivan + Gustau"                                   # Speaker name (Mandatory)
-affiliation: "University of Valencia"                               # Speaker's affiliation (Optional)
+affiliation: "ISP/UV"                               # Speaker's affiliation (Optional)
 link: ""                                      # Link to seminar materials or external resource (Optional)
 img: "ivan.webp"                                       # Image file name or URL (Optional)
 ---

content/seminars/2024/gustau_12.md

@@ -2,7 +2,7 @@
 title: "Attention in Transformers are just Kernels + Farewell + pre-Xmas lunch + t-shirt pics awards"
 date: "2024-12-20"
 speaker: "Gustau"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "gus18.webp"
 ---

content/seminars/2024/homer_06.md

@@ -2,7 +2,7 @@
 title: "Pari Island"
 date: "2024-06-14"
 speaker: "Homer Durand"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "06_Homer_ISP.webp"
 abstract: "Pari Island is a small island in Indonesia, north of Jakarta. Previous studies have considered the impacts of climate change on Pari Island, for example in relation to flooding. Here, we outline the overlooked impacts of marine heatwaves in the region, their connection to climate change and the associated ecological and social impacts on coral reefs, (grouper) fish and the tourism-dependant economy."

content/seminars/2024/jose_06.md

@@ -1,8 +1,8 @@
 ---
 title: "Predictable AI"
 date: "2024-06-28"
-speaker: "Jose H. Orallo (invited)"
+speaker: "Jose H. Orallo"
 affiliation: "UPV"
 link: ""
-img: ""
+img: "upv.webp"
 ---

content/seminars/2024/maria_06.md

@@ -2,7 +2,7 @@
 title: "Attribution of marine heatwave impacts in Pari Island"
 date: "2024-06-07"
 speaker: "Maria Gonzalez"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "mariagonzalez.webp"
 ---

content/seminars/2024/megxue_10.md

@@ -2,7 +2,7 @@
 title: "Improve drought detection with hybrid modeling: a Bayesian perspective"
 date: "2024-10-11"
 speaker: "Mengxue"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "mengxuex.webp"
 abstract: "We will discuss four examples that Bayesian hybrid modeling may enhance drought detection and understanding. First, it helps learn challenging joint distributions, especially when labels are scarce and imbalanced. Second, it aids in estimating physical variables. Third, Bayesian inference allows for DL model calibration and uncertainty assessment, alleviating overconfidence and rejecting uncertain variabilities. Lastly, Bayesian statistics facilitate the interaction of explanations and uncertainties to advance our understanding of DL drought detection."

content/seminars/2024/oscar_07.md

@@ -2,7 +2,7 @@
 title: "DeepExtremes - opportunities for DL and XAI research"
 date: "2024-07-12"
 speaker: "Óscar Pellicer"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "06_ISP_Oscar.webp"
 ---

content/seminars/2024/oscar_10.md

@@ -2,7 +2,7 @@
 title: "Video coding of remote sensing image time series"
 date: "2024-10-04"
 speaker: "Óscar Pellicer"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "06_ISP_Oscar.webp"
 ---

content/seminars/2024/paolo_07.md

@@ -2,7 +2,7 @@
 title: "Invertible neural networks for emulation and retrieval"
 date: "2024-07-19"
 speaker: "Paolo Pelucchi"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "paolo.webp"
 ---

content/seminars/2024/simon_10.md

@@ -2,7 +2,7 @@
 title: "Superresolution sucks(eeds)"
 date: "2024-10-18"
 speaker: "Simon"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
 img: "simon.webp"
 ---

content/seminars/2024/tristan_07.md

@@ -2,7 +2,7 @@
 title: "DFA for memory characterization in forest dynamics"
 date: "2024-07-05"
 speaker: "Tristan Williams"
-affiliation: "University of Valencia"
+affiliation: "ISP/UV"
 link: ""
-img: "06_Tristan_ISP_dark"
+img: "06_Tristan_ISP_dark.webp"
 ---

content/seminars/2025/esther_01.md

@@ -0,0 +1,8 @@
+---
+title: "Explainable and Physics-Informed Graph Deep Learning"
+date: "2025-01-10"
+speaker: "Esther"
+affiliation: "ISP/UV"
+link: ""
+img: "esther.webp"
+---

content/seminars/2025/gustau_01.md

@@ -0,0 +1,8 @@
+---
+title: "Summarizing ISP European projects on the blackboard"
+date: "2025-01-24"
+speaker: "Gustau"
+affiliation: "ISP/UV"
+link: ""
+img: "gus18.webp"
+---

hugo-alt.toml

@@ -1,6 +1,7 @@
 #baseURL = "https://ipl-uv.github.io/" 
 baseURL = "https://isp.uv.es/"
 publishDir = "docs"
+buildFuture = true
 
 #baseURL = "http://127.0.0.1/isp/"
 #publishDir = "isp"
@@ -138,4 +139,5 @@ theme = "isp_uv"
 [[menu.main]]
   name = "Contact"
   url = "/contact/"
-  weight = 13
+  weight = 13
+

hugo.toml

@@ -1,7 +1,7 @@
 baseURL = "https://ipl-uv.github.io/"
 #baseURL = "https://isp.uv.es/github"
 publishDir = "public"
-
+buildFuture = true
 
 
 #baseURL = "http://127.0.0.1/isp/"
@@ -138,4 +138,6 @@ theme = "isp_uv"
 [[menu.main]]
   name = "Contact"
   url = "/contact/"
-  weight = 13
+  weight = 13
+
+

resources/_gen/assets/scss/custom.scss_c1960906240c869da3b69388333b313e.content

@@ -208,6 +208,6 @@ h5.card-title {
 .navbar-expand-lg .navbar-nav .nav-link {
   padding: 20px 0; }
 
-.list-inline {
+.card-body .list-inline {
   display: flex;
   justify-content: center; }

resources/_gen/assets/scss/custom.scss_c1960906240c869da3b69388333b313e.json

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+{"Target":"/scss/custom.a85851e9cd15e7eba5d8edfc084afd979cc899087c1d5ba6604f1bdce38f17b098b7ed96047076e58be66357a981aa31e53f539ecd0e96311d907977f0c0191f.css","MediaType":"text/css","Data":{"Integrity":"sha512-qFhR6c0V5+ul2O38CEr9l5zImQh8HVumYE8b3OOPF7CYt+2WBHB25YvmY1epgaox5T9Tns0OljEdkHl38MAZHw=="}}

resources/_gen/assets/scss/main.scss_c1960906240c869da3b69388333b313e.content

@@ -218,7 +218,7 @@ h5.card-title {
 .navbar-expand-lg .navbar-nav .nav-link {
   padding: 20px 0; }
 
-.list-inline {
+.card-body .list-inline {
   display: flex;
   justify-content: center; }
 

resources/_gen/assets/scss/main.scss_c1960906240c869da3b69388333b313e.json

@@ -1 +1 @@
-{"Target":"/scss/main.8b846416eef4e832629add977d18f8f1fe3fa486aa322281a8ad6da4cf3ab80595b292c271de79736ea39f8a5b65026376d6a0a735abb48a4ac614eccd502e89.css","MediaType":"text/css","Data":{"Integrity":"sha512-i4RkFu706DJimt2XfRj48f4/pIaqMiKBqK1tpM86uAWVspLCcd55c26jn4pbZQJjdtagpzWrtIpKxhTszVAuiQ=="}}
+{"Target":"/scss/main.d49a80640edd1dae2488e82865a8cd3073cb7b931f6490d6b21d30f6383c50231193f33005f8ea1cb3702304e3c44fcc5bf4db2db245d990a6320b191599b28a.css","MediaType":"text/css","Data":{"Integrity":"sha512-1JqAZA7dHa4kiOgoZajNMHPLe5MfZJDWsh0w9jg8UCMRk/MwBfjqHLNwIwTjxE/MW/TbLbJF2ZCmMgsZFZmyig=="}}

themes/educenter-hugo/assets/scss/custom.scss

@@ -273,9 +273,7 @@ h5.card-title {
     padding: 20px 0;
 }
 
-.list-inline {
-
+.card-body .list-inline {
     display: flex;
-    justify-content: center;
-
+    justify-content: center; 
 }

themes/isp_uv/layouts/_default/home.html

@@ -22,7 +22,7 @@
                     <a href="https://bsky.app/profile/isp-uv-es.bsky.social"><i class="fa fa-bug"></i></a>
                 </div>
                 <div class="custom-copyright">
-                    <p>&copy; ISP, 2024</p>
+                    <p>&copy; ISP, 2025</p>
                 </div>
             </div>
         </div>

themes/isp_uv/layouts/publications/single.html

@@ -100,14 +100,13 @@ <h1>{{ .Title }}</h1>
         </span>
 
         <!-- <div class="altmetric-embed" data-badge-popover="right"></div> -->
-        <div class="altmetric-embed" data-badge-popover="right" data-badge-type="donut" data-hide-no-mentions="true"></div>
+        <div class="altmetric-embed" data-badge-type="donut" data-hide-no-mentions="true"></div>
         <!-- <div class="altmetric-embed" data-badge-popover="right" data-badge-type="medium-donut-horizontal" data-hide-no-mentions="true" data-doi="" data-badge-id="" data-template="dimensions" data-link-target="_blank"></div> -->
 
 
       </div>
 
 
-
       <div class="bibtexdata alert alert-success" style="display: none;">
         <span class="bibtex"></span>
       </div>