Refactor media coverage sections for clarity and consistency across multiple project pages

Author: Daniel Precioso, PhD

content/industry/covid-19-impact-of-npis/index.md

@@ -21,17 +21,13 @@ Our study analyzed the effectiveness of non-pharmaceutical interventions (NPIs)
 The results showed that increasing the overall intensity of measures by 34% was associated with a 22% reduction in transmission within one week. Interventions related to social distancing and indoor hospitality were found to be particularly effective, while measures affecting leisure, cultural activities, places of worship, religious celebrations, and indoor sports showed less clear effects—though these differences should be interpreted cautiously, as many measures were implemented simultaneously. The project also made all collected data publicly available to support transparency and future research, highlighting the critical role of mathematical modeling and data analysis in managing public health crises.
 
 My role in this project was mainly involved in coding and processing the NPIs into useful variables for the statistical model that matched the NPI intensity time series to incidence metrics. On a separate project, we made a predictive tool to assist hospitals in planning for extra beds in ICUs, leveraging what was known on disease dynamics and observed infected individuals.
-### Media Coverage
-
-Interview in eldiario.es “To fight the pandemic, we need transparency and access to good data.” (17/04/20) [link](https://www.eldiario.es/sociedad/david-gomez-ullate-pandemia-necesitamos-transparencia_128_5871280.html)
-Interview for Real Sociedad Matemática Española (09/04/21) [link](https://rsme.es/david-gomez-ullate-no-se-puede-basar-en-el-voluntarismo-todo-el-trabajo-contra-el-coronavirus/)
-
-Las matemáticas frente a la Covid-19, Fundación Ramón Areces en colaboración con Real Sociedad Matemática Española [video](https://www.youtube.com/watch?v=ZZlDwg8cypw)
 
-M. Salomone “Spanish mathematicians look for a model to predict how the pandemic will evolve”, Fundación BBVA (07/04/20) [link](https://www.bbva.com/en/spanish-mathematicians-look-for-a-model-to-predict-how-the-pandemic-will-evolve/)
-
-“Big Data contra el coronavirus y ¿nuestra privacidad?” , Fallo de Sistema, Radio 3 (19/04/20) [link](https://www.rtve.es/play/audios/fallo-de-sistema/fallo-sistema-401-big-data-contra-coronavirus-nuestra-privacidad-19-04-20/5560290/)
-
-“Desarrollan un modelo predictivo de ocupación de camas en las UCI de los hospitales andaluces” Fundación Descubre, Junta de Andalucía [link](https://fundaciondescubre.es/noticias/desarrollan-un-modelo-predictivo-de-ocupacion-de-camas-en-las-uci-de-los-hospitales-andaluces/)
+### Media Coverage
 
-Acción Matemática contra la COVID confirma que el incremento de las restricciones redujo la transmisión del virus en un 22% a la semana. CITIC-UDC (17/04/23) [link](https://citic.udc.es/accion-matematica-contra-la-covid-confirma-que-el-incremento-de-las-restricciones-redujo-la-transmision-del-virus-en-un-22-a-la-semana/)
+- Interview in eldiario.es “To fight the pandemic, we need transparency and access to good data.” (17/04/20) [link](https://www.eldiario.es/sociedad/david-gomez-ullate-pandemia-necesitamos-transparencia_128_5871280.html)
+- Interview for Real Sociedad Matemática Española (09/04/21) [link](https://rsme.es/david-gomez-ullate-no-se-puede-basar-en-el-voluntarismo-todo-el-trabajo-contra-el-coronavirus/)
+- Las matemáticas frente a la Covid-19, Fundación Ramón Areces en colaboración con Real Sociedad Matemática Española [video](https://www.youtube.com/watch?v=ZZlDwg8cypw)
+- M. Salomone “Spanish mathematicians look for a model to predict how the pandemic will evolve”, Fundación BBVA (07/04/20) [link](https://www.bbva.com/en/spanish-mathematicians-look-for-a-model-to-predict-how-the-pandemic-will-evolve/)
+- “Big Data contra el coronavirus y ¿nuestra privacidad?” , Fallo de Sistema, Radio 3 (19/04/20) [link](https://www.rtve.es/play/audios/fallo-de-sistema/fallo-sistema-401-big-data-contra-coronavirus-nuestra-privacidad-19-04-20/5560290/)
+- “Desarrollan un modelo predictivo de ocupación de camas en las UCI de los hospitales andaluces” Fundación Descubre, Junta de Andalucía [link](https://fundaciondescubre.es/noticias/desarrollan-un-modelo-predictivo-de-ocupacion-de-camas-en-las-uci-de-los-hospitales-andaluces/)
+- Acción Matemática contra la COVID confirma que el incremento de las restricciones redujo la transmisión del virus en un 22% a la semana. CITIC-UDC (17/04/23) [link](https://citic.udc.es/accion-matematica-contra-la-covid-confirma-que-el-incremento-de-las-restricciones-redujo-la-transmision-del-virus-en-un-22-a-la-semana/)

content/industry/fraud-detection-payments/index.md

@@ -17,18 +17,20 @@ The study tackled significant challenges typical of fraud detection—such as ex
 In addition to its technical contributions, the project emphasised training early-stage researchers in statistical learning and data science, responding to strong market demand for these skills and the lack of formal academic programmes in this area at the time. 
 
 Due to confidentiality clauses, we were unable to publish publicly available results on this research.
+
 ### Media Coverage
 
-“Matemáticas antirrobo y otras cuatro ideas para mejorar el mundo”, Diario EL País (30/07/2015)
-“La Fundación BBVA financia un proyecto basado en matemáticas que permitirá adelantarse al fraude bancario” ICMAT (29/07/2015) [link](https://www.icmat.es/es/actualidad/np-29-07-15/)
+- “Matemáticas antirrobo y otras cuatro ideas para mejorar el mundo”, Diario EL País (30/07/2015)
+- “La Fundación BBVA financia un proyecto basado en matemáticas que permitirá adelantarse al fraude bancario” ICMAT (29/07/2015) [link](https://www.icmat.es/es/actualidad/np-29-07-15/)
+
 ### Projects and Contracts
 
-Artificial Intelligence and Data Science: Applications in Payment Fraud Detection, Leonardo Scholarship, Fundación BBVA. [link Red Leonardo](https://www.redleonardo.es/beneficiario/david-gomez-ullate-oteiza/)
-Sum: 40.000 EUR (2015-2016)
-### Contract and Funding
+- Artificial Intelligence and Data Science: Applications in Payment Fraud Detection, Leonardo Scholarship, Fundación BBVA. [link Red Leonardo](https://www.redleonardo.es/beneficiario/david-gomez-ullate-oteiza/)
+- Sum: 40.000 EUR (2015-2016)
 
-Learning for fraud detection in electronic payments
-Contract Art. 83 between Evendor Engineering SL and Univ. Complutense de Madrid 
+### Contract and Funding
 
-PI: David Gómez-Ullate (UCM-ICMAT), 01/06/2015 - 31/12/2015, Sum: 20.000 EUR.
+- Learning for fraud detection in electronic payments.
+- Contract Art. 83 between Evendor Engineering SL and Univ. Complutense de Madrid.
+- PI: David Gómez-Ullate (UCM-ICMAT), 01/06/2015 - 31/12/2015, Sum: 20.000 EUR.
 

content/industry/marketing/index.md

@@ -8,19 +8,12 @@ customer: "Omnicom Media Group"
 ---
 
 ## Overview
-Machine learning for precision marketing 
+Machine learning for precision marketing.
 
-Contract Art. 83 between Omnicom Media Group S.A. and Univ. Complutense de Madrid 
+### Projects and Contracts
 
-PI: David Gómez-Ullate (UCM-ICMAT), 01/12/2016 - 30/11/2017, Sum: 27.600 EUR.
-
-AI on geodata applied to conversion and CTR prediction in precision marketing Contract Art. 83 between Omnicom Media Group S.A. and Univ. Complutense de Madrid PI: David Gómez-Ullate (UCM-ICMAT), 01/12/2017 - 30/09/2018, Sum: 20.400 EUR.
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+- Contract Art. 83 between Omnicom Media Group S.A. and Univ. Complutense de Madrid. PI: David Gómez-Ullate (UCM-ICMAT), 01/12/2016 - 30/11/2017, Sum: 27.600 EUR.
+- AI on geodata applied to conversion and CTR prediction in precision marketing. Contract Art. 83 between Omnicom Media Group S.A. and Univ. Complutense de Madrid. PI: David Gómez-Ullate (UCM-ICMAT), 01/12/2017 - 30/09/2018, Sum: 20.400 EUR.
 
 One of the central problems in marketing and advertising is to answer the following question:
 
@@ -36,7 +29,6 @@ This work shows how modern statistical methods can turn complex business data in
 
 This project was an Art.83 collaboration between my group at Universidad Complutense and Omnicom Media Group. Besides providing an actionable model for the advertising company, it led to a couple of academic publications:
 
-[Assessing the effect of advertising expenditures upon sales:A Bayesian structural time series model](https://onlinelibrary.wiley.com/doi/10.1002/asmb.2460)
-
-[Bayesian Factorization Machines for Risk Management and Robust Decision Making](https://link.springer.com/chapter/10.1007/978-3-319-89824-7_9)
+- [Assessing the effect of advertising expenditures upon sales:A Bayesian structural time series model](https://onlinelibrary.wiley.com/doi/10.1002/asmb.2460)
+- [Bayesian Factorization Machines for Risk Management and Robust Decision Making](https://link.springer.com/chapter/10.1007/978-3-319-89824-7_9)
 

content/industry/neocam/index.md

@@ -17,13 +17,14 @@ Technically, the system combines optimized deep learning models deployed on edge
 The project won the first regional prize (Europe) in the 2021 OpenCV AI Competition and the [second global prize](https://opencv.org/announcing-the-grand-prize-winners-of-opencv-ai-competition-2021/), out of more than 1400 submitted projects. It also led to a publication in the high reputation journal IEEE Journal of Biomedical and Health Informatics.
 
 The PI of this project was my colleague Lionel Cervera. My role was to be responsible for the development of the three  AI algorithms that were incorporated into the NeoCam.
+
 ### Media Coverage
 
-OpenCV Blog Episode 32 (04/11/21) Real-time tele-monitoring of preterm neonates with NeoCam - Interview with Satya Mallick, CEO of OpenCV. [link](https://www.youtube.com/watch?v=cQ-Q-4QGRCo)
-A UCA project wins first place in an international Artificial Intelligence competition, Diario de Cádiz (8/09/21) [link](https://www.diariodecadiz.es/noticias-provincia-cadiz/UCA-primer-puesto-competicion-internacional-Inteligencia-Artificial-video_0_1609040454.html)
-### Videos
+- OpenCV Blog Episode 32 (04/11/21) Real-time tele-monitoring of preterm neonates with NeoCam - Interview with Satya Mallick, CEO of OpenCV. [link](https://www.youtube.com/watch?v=cQ-Q-4QGRCo)
+- A UCA project wins first place in an international Artificial Intelligence competition, Diario de Cádiz (8/09/21) [link](https://www.diariodecadiz.es/noticias-provincia-cadiz/UCA-primer-puesto-competicion-internacional-Inteligencia-Artificial-video_0_1609040454.html)
 
-Spot: https://www.youtube.com/watch?v=58KHGucW0dQ
-Motion detector: https://www.youtube.com/watch?v=CGLl9O9GtEg
+### Videos
 
-Breath rate detector: https://www.youtube.com/watch?v=ZsHf2NaaHW8
+- Spot: https://www.youtube.com/watch?v=58KHGucW0dQ
+- Motion detector: https://www.youtube.com/watch?v=CGLl9O9GtEg
+- Breath rate detector: https://www.youtube.com/watch?v=ZsHf2NaaHW8

content/industry/nilm/index.md

@@ -14,15 +14,11 @@ This work addresses a fundamental but often overlooked modeling choice in NILM:
 
 This was the first paper we wrote with Daniel Precioso when he joined UCA Datalab at University of Cádiz to start his industrial PhD. He was already interested in this topic because he had done an internship at Foqum analytics. We extended his work and addressed a relevant conceptual problem in how NILM problems are usually framed. The work was presented in a few conferences , among which:
 
-[BIDAS 4 - Fourth Bilbao Data Science Workshop](https://www.bcamath.org/es/bidas-4-fourth-bilbao-data-science-workshop-0) BCAM (Nov 7-10 2019)
-
-[IEEE Powertech Madrid 2021](https://www.powertech2021.com/), (Jun 28-Jul 2 2021)
+- [BIDAS 4 - Fourth Bilbao Data Science Workshop](https://www.bcamath.org/es/bidas-4-fourth-bilbao-data-science-workshop-0), BCAM (Nov 7-10 2019).
+- [IEEE Powertech Madrid 2021](https://www.powertech2021.com/), (Jun 28-Jul 2 2021).
 
 It also led to the publication of these papers:
 
-[Thresholding Methods in Non-Intrusive Load Monitoring](https://link.springer.com/article/10.1007/s11227-023-05149-8). The Journal of Supercomputing 
-
-79 14039–14062, (2023)
-
-[Non-Intrusive Load Monitoring Using Multi-Output CNNs](https://ieeexplore.ieee.org/document/9494943). 2021 IEEE Madrid PowerTech, Madrid, Spain, 2021, 
+- [Thresholding Methods in Non-Intrusive Load Monitoring](https://link.springer.com/article/10.1007/s11227-023-05149-8). The Journal of Supercomputing 79 14039–14062 (2023).
+- [Non-Intrusive Load Monitoring Using Multi-Output CNNs](https://ieeexplore.ieee.org/document/9494943). 2021 IEEE Madrid PowerTech, Madrid, Spain (2021).
 

content/industry/predicting-drifting-buoys/index.md

@@ -17,6 +17,7 @@ We developed a Lagrangian numerical integration scheme which used the ocean curr
 As a side project, we used their data to validate predictions from these models, comparing the true trajectories of the buoys with those predicted by the Lagrangian model.  This is an example of a synergistic and positive by-product between industry and research. The largest publicly funded program to gather data from drifting buoys is the NOAA [Global Drifter Program](https://www.aoml.noaa.gov/global-drifter-program/), which contains around 1000 buoys from a collaboration between 19 countries. By way of contrast, we had access to a proprietary dataset of more than 20 years of operation for ca. 40.000 buoys in the three major oceans, providing daily (sometimes hourly) positions. Of course these buoys were deployed for fishing purposes, but the data they gathered can be used for many other scientific purposes, in this case, validation of Ocean General Circulation Models.
 
 My role in this project was Principal Investigator and responsible for the contract. It was a good opportunity to work with Karan Bedi, a visiting MSc student from IIT Roorkee (India), who visited UCA Datalab in Cádiz during that period.
+
 ### Projects and Contracts
 
-Prediction of drifting objects in the ocean Contract Art. 83 between Satlink SL and Universidad de Cádiz PI: David Gómez-Ullate (UCA), 01/04/2019 – 01/07/2019, Sum: 70.000 EUR.
+- Prediction of drifting objects in the ocean. Contract Art. 83 between Satlink SL and Universidad de Cádiz. PI: David Gómez-Ullate (UCA), 01/04/2019 – 01/07/2019, Sum: 70.000 EUR.