Newsletter 2025 (#2171)

* Newsletter 2025

* Fix spacing

* Update newsletter 2025

* Formatting

* Add break

* update newsletter 2025

* Update competitions list in newsletter

* Proof reading

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Co-authored-by: Anne-Catherine L. <acl@lisn.fr>

Author: Didayolo

documentation/docs/Newsletters_Archive/CodaLab-in-2024.md

@@ -1,9 +1,9 @@
-## CodaLab in 2024 
+## CodaLab in 2024
 ### A Year of Breakthroughs and New Horizons with Codabench
 
 Welcome to the first edition of CodaLab’s newsletter! This year has been full of novelty, success, and scientific progress. The platform is breaking records of participation and number of organized competitions, and [Codabench](https://codabench.org/), the new version of [CodaLab](https://codalab.lisn.fr/), had a very promising launch. Let’s dive into more details.
 
-![image_2025_01_30T15_23_35_261Z](../_attachments/991c18dc-3baa-4d69-b157-6a5561e6798d_17528513106457524.jpg)
+![image_2025_01_30T15_23_35_261Z](_attachments/991c18dc-3baa-4d69-b157-6a5561e6798d_17528513106457524.jpg)
 
 
 ##  Unprecedented engagement
@@ -13,7 +13,7 @@ In October, Codabench has registered its **10,000th user**! From about 100 daily
 
 Contributors community is very active with **143 pull requests** this year. Since the platform is still relatively new, the primary focus has been on bug fixes, security and performance enhancements, and administrative features, accounting for approximately two-thirds of the pull requests. Nevertheless, we are keen on improving the experience for both participants and organizers. We have set a versioning and a release-notes follow-up to give more visibility to the platform evolution and maturity.
 
-![pie-chart](../_attachments/2b41574f-9597-47c0-b492-cf427eba7eff_17528513107025487.jpg)
+![pie-chart](_attachments/2b41574f-9597-47c0-b492-cf427eba7eff_17528513107025487.jpg)
 
 
 ## Introducing Codabench

documentation/docs/Newsletters_Archive/CodaLab-in-2025.md

@@ -0,0 +1,242 @@
+# CodaLab and Codabench newsletter
+
+## What happened in 2025?
+
+2025 was a year of transition and consolidation for our community. After 13
+years of service, [CodaLab Competitions](https://codalab.lisn.fr/) was
+officially phased out, closing an important chapter in the history of open
+scientific challenges. At the same time, [Codabench](https://codabench.org/)
+matured into the central platform for benchmarking, concentrating both usage and
+development efforts.
+
+Beyond the symbolic handover, the year was marked by strong community
+engagement, growing activity on Codabench, and steady progress on the software
+itself. This newsletter offers a snapshot of that journey: key numbers, standout
+competitions, and the latest advances shaping the platform.
+
+![image_header](_attachments/header_2025.png)
+
+# Bye bye, CodaLab!
+
+After 13 years and millions of submissions made,
+[CodaLab Competitions](https://codalab.lisn.fr/) and its main servers were
+finally phased out at end of 2025, passing the torch to
+[Codabench](https://codabench.org/).
+
+Today, Codabench is where the community's energy and development efforts are
+fully focused. As a modernized evolution of the CodaLab platform, it preserves
+familiar workflows while introducing improved performance, live logs, greater
+transparency, data-centric benchmarks, and more.
+
+If you haven't made the transition yet as an organizer, good news: CodaLab
+bundles are fully compatible with Codabench, making the move straightforward.
+The process is documented step by step here:
+[How to transition from CodaLab to Codabench](https://docs.codabench.org/latest/Organizers/Benchmark_Creation/How-to-transition-from-CodaLab-to-Codabench/)
+
+# Some statistics
+
+Codabench continued to grow strongly throughout the year, reaching **519 public
+competitions** created and welcoming **31,608 new users**! Daily activity also
+increased steadily, from around 500 submissions per day in January to **over
+1,000 daily submissions by December**, reflecting sustained community
+engagement.
+
+CodaLab, while entering its sunset phase, still saw **100 public competitions**
+created and **14,854 new users** over the year. Submission activity peaked in
+March (around 850 submissions per day), before gradually declining to fewer than
+200 daily submissions in December, as usage progressively shifted towards
+Codabench.
+
+# Spotlight on competitions
+
+2025 featured many notable competitions across scientific and industrial fields.
+From NeurIPS and ICML to challenges in health and medical research,
+environmental science, industrial applications, language processing, and
+education, the diversity of topics continued to grow.
+
+#### NeurIPS and ICML
+
+- [EEG Foundation Challenge](https://www.codabench.org/competitions/9975/),
+  aiming to advance the field of electroencephalogram (EEG) decoding by
+  addressing two critical challenges, (1) models that can transfer knowledge from any cognitive
+  EEG tasks to active task and (2) creating representations that generalize across different subjects.
+  It was the most popular competition this year,
+  featuring **1220 participants**, was the NeurIPS 2025 competition.
+- [NeurIPS 2025 Weak Lensing Uncertainty Challenge](https://www.codabench.org/competitions/8934/),
+exploring uncertainty-aware and out-of-distribution detection AI techniques for
+Weak Gravitational Lensing Cosmology.
+- [NeurIPS 2025: Fairness in AI Face Detection Challenge](https://www.codabench.org/competitions/7166/),
+  where the goal is to advance the development of fair and robust AI-generated
+  face detection systems by addressing the critical challenge of fairness
+  generalization under real-world deployment conditions.
+- [ICML 2025 AI for Math Workshop & Challenge 1 - APE-Bench I](https://www.codabench.org/competitions/8357/),
+  designed to evaluate systems that can automate proof engineering in
+  large-scale formal mathematics libraries.
+
+#### Health and medical research
+
+- [MAMA-MIA Challenge](https://www.codabench.org/competitions/7425/), studying
+breast cancer through magnetic resonance imaging (MRI) data, that turned into a
+long-term benchmark.
+[Universal UltraSound Image Challenge: Multi-Organ Classification and Segmentation](https://www.codabench.org/competitions/9106/),
+  aiming at evaluating algorithms for multi-organ classification and
+  segmentation using diverse, real-world ultrasound data collected across
+  multiple centers and devices. -->
+- [NSF HDR Scientific Modeling out of distribution: Neural Forecasting](https://www.codabench.org/competitions/9806/),
+  in which algorithms forecast the activations of a cluster of neurons given
+  previous signals from the same cluster.
+- [The Algonauts Project 2025 Challenge](https://www.codabench.org/competitions/4313/),
+aiming at providing a platform where biological and artificial intelligence
+scientists can cooperate and compete in developing cutting-edge encoding models
+of neural responses to multimodal naturalistic movies that well generalize
+outside of their training distribution.
+<!-- [IUGC2025-validation](https://www.codabench.org/competitions/7105/), landmark
+  detection for intrapartum ultrasound measurement, aiming at improving
+  childbirth experiences.-->
+
+#### Environmental research
+
+- [MIT ARCLab Prize for Space AI Innovation 2025](https://www.codabench.org/competitions/5547/),
+  where the objective is to develop cutting-edge AI algorithms for nowcasting
+  and forecasting space weather-driven changes in atmospheric density across low
+  earth orbit using historical space weather observations.
+- TreeAI4Species Competition:
+  [Semantic Segmentation](https://www.codabench.org/competitions/9168/) and
+  [Object detection](https://www.codabench.org/competitions/8485/), studying
+  algorithms for identifying tree species from high-resolution aerial imagery.
+- [Water Scarcity](https://www.codabench.org/competitions/4335/), leveraging
+  data science to address water scarcity issues through simulations.
+
+#### Industrial applications
+
+- [ICPR 2026 Competition on Low-Resolution License Plate Recognition](https://www.codabench.org/competitions/12259/),
+  a computer vision challenge on low resolution images which gathered more than
+  500 participants.
+- [AssetOpsBench](https://www.codabench.org/competitions/10206/), in which
+  participants propose agents that solve realistic industrial tasks across the
+  full pipeline: "Sensing → Reasoning → Actuation".
+- [Universal Behavioral Modeling Data Challenge](https://www.codabench.org/competitions/7230/),
+designed to promote a unified approach to behavior modeling and data analytics.
+- [WWW 2025: SMARTMEM Memory Failure Prediction Competition](https://www.codabench.org/competitions/3586/),
+  where the task is to predict memory failures for data centers.
+<!-- [MM-CTR: Multimodal CTR Prediction Challenge at the WWW 2025 EReL@MIR Workshop](https://www.codabench.org/competitions/5372),
+  focusing on multimodal recommandation tasks.
+- [Inventory Control Problem](https://www.codabench.org/competitions/9675/),
+  with the objective of providing agents to solve the Inventory Control Problem.
+- [RoboSense - Track1](https://www.codabench.org/competitions/9285/),
+  challenging participants to develop intelligent driving systems that can
+  understand and act upon natural language instructions in dynamic driving
+  environments. -->
+
+#### Natural Language Processing
+
+SemEval (Semantic Evaluation) is an international series of shared tasks in
+natural language processing that provides standardized benchmarks to evaluate
+and compare systems on semantic understanding challenges. More than 12 tasks
+(with sub-tracks) were organized on Codabench in 2025, accounting for more than
+20,000 submissions.
+
+- SemEval competitions suite: Task [1](https://www.codabench.org/competitions/9719/), [2](https://www.codabench.org/competitions/9963/), [3](https://www.codabench.org/competitions/10918/), 
+  [4](https://www.codabench.org/competitions/10273/), [5](https://www.codabench.org/competitions/10877/), [6](https://www.codabench.org/competitions/10879/),
+  [7](https://www.codabench.org/competitions/3737/), [8](https://www.codabench.org/competitions/3360/), [9](https://www.codabench.org/competitions/10522/),
+  [10](https://www.codabench.org/competitions/10749/), [11](https://www.codabench.org/competitions/3863/), [12](https://www.codabench.org/competitions/12446/)
+
+<!-- SemEval-2026 Task 3 - Dimensional Aspect-Based Sentiment Analysis -
+  [Track A](https://www.codabench.org/competitions/10918/) -
+  [Track B](https://www.codabench.org/competitions/11139/)
+- [SemEval 2026 Task 4: Narrative Similarity](https://www.codabench.org/competitions/10273/)
+- [SemEval 2026 Task 9 - Subtask 1: Multilingual Text Classification Challenge - Polarization Detection ](https://www.codabench.org/competitions/10522/)
+- [SemEval 2025 - Task 8: DataBench, Question-Answering over Tabular Data ](https://www.codabench.org/competitions/3360/)
+- [Bridging the Gap in Text-Based Emotion Detection - SemEval 2025 Task 11](https://www.codabench.org/competitions/3863/)
+  -->
+
+Other notable NLP benchmarks:
+
+- [Behind the Secrets of Large Language Models](https://www.codabench.org/competitions/11605/)
+- [VLSP2025 DRiLL shared task](https://www.codabench.org/competitions/9722/)
+
+#### Education
+
+- [IndoML 2025 Datathon Tack-1: Mistake Identification](https://www.codabench.org/competitions/7189/),
+  a task focusing on mistake identification for education application.
+- [Compétition Algorithmique Avancée CS 3A INFO -- TSP-rd](https://www.codabench.org/competitions/9896/),
+a competition used as a training for students in computer science, receiving
+more than 3000 submissions.
+<!-- [Machine Translation Challenge! CS-779](https://www.codabench.org/competitions/10523),
+  a natural language processing student competition that received more than 4000
+  submissions.
+- [IACV 25 - Exercise 5](https://www.codabench.org/competitions/11709), a
+  competition used for image analysis and computer vision classes. -->
+- [Tokam2D - Structure detection in fusion plasma simulations - datacamp 2025](https://www.codabench.org/competitions/11224/),
+  physics based data science training at Université Paris-Saclay.
+
+A huge thank you to everyone in the community for these **outstanding scientific contributions** 
+across a wide variety of fields. You can discover **many more challenges in the [public competition listing](https://www.codabench.org/competitions/public/?page=1)**.
+
+![image_break](_attachments/break_2025.png)
+
+# Novelty in the software
+
+Our contributors community was very active, with **139 pull requests merged**
+this year. Many new features, bug fixes, and back-end changes were made. We
+present some of them below.
+
+#### New features for participants and organizers
+
+- Public datasets listing: https://www.codabench.org/datasets/public/?page=1
+- [Croissant](https://docs.mlcommons.org/croissant/) standard compatibility
+- New documentation website: https://docs.codabench.org
+- Users can delete their submissions and manage their individual storage
+- Leaderboards are now public for everyone without login required
+
+#### Back-end changes for developpers and hosters
+
+- Using Playwright instead of Selenium for automatic tests
+- Logs are now colored and easier to read
+- Django and other packages version upgrades
+
+#### What's to come
+
+The trend is to make the project more easy to deploy for independant hosters.
+
+- Unified and lighter compute worker image, making it more stable
+- Make compute worker its own repository, which means it can be more easily used
+  for other projects if needed
+- Django Admin upgrades to make it easier to manage the website as a site admin
+
+# Community
+
+Reminder on our communication tools:
+
+- Join our [google forum](https://groups.google.com/g/codalab-competitions) to
+  communicate your competitions and events
+- Contact us for any question: info@codabench.org
+- Write an issue on [github](https://github.com/codalab/codabench) about
+  interesting suggestions
+
+Please cite this paper when working with Codabench:
+
+```
+@article{codabench,
+   title = {Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform},
+   author = {Zhen Xu and Sergio Escalera and Adrien Pavão and Magali Richard and
+               Wei-Wei Tu and Quanming Yao and Huan Zhao and Isabelle Guyon},
+   journal = {Patterns},
+   volume = {3},
+   number = {7},
+   pages = {100543},
+   year = {2022},
+   issn = {2666-3899},
+   doi = {https://doi.org/10.1016/j.patter.2022.100543},
+   url = {https://www.sciencedirect.com/science/article/pii/S2666389922001465}
+}
+```
+
+# Closing words
+
+Thank you for reading the our newsletter. We're not done yet! More projects,
+more challenges, and more science ahead. Our open platform is becoming a
+powerful actor for building reliable and innovative AI benchmarks. See you on
+Codabench.
+
+![partners](_attachments/96bbc3a0-cb9b-479a-85c8-ba795c59d6f4_1753436671847627.jpg)