chore(openchallenges): 2024-12-11 DB update (#2940)

Co-authored-by: vpchung <[email protected]>

apps/openchallenges/challenge-service/src/main/resources/db/challenges.csv

@@ -527,4 +527,8 @@
 "526","tcr-specificity-prediction-challenge","IMMREP23: TCR Specificity Prediction Challenge","Predictions on unpublished TCR-epitope binding to benchmark prediction methods.","IMMREP23, the second annual IMMREP benchmark on TCR-epitope specificity prediction will run from November 1, 2023 to December 11, 2023. Together with several experimental groups, we have compiled a data set of paired TCR data with annotated specificity to 21 pHLA (covering 6 distinct HLA molecules).  This challenge models TCR epitope recognition as a binary classification task. For a given test set of TCR-epitope pairs, the task of the model is to identify which pairs will bind and which will not bind.","","https://www.kaggle.com/competitions/tcr-specificity-prediction-challenge","completed","8","","2023-10-31","2023-12-11","2242","2024-11-20 16:02:13","2024-12-03 1:32:04"
 "527","ibiohash-2024-fgvc11","iBioHash 2024-FGVC11","A task of large-scale zero-shot fine-grained image hashing.","Fine-Grained Image Analysis (FGIA) is a longstanding and fundamental problem in computer vision and pattern recognition, and underpins a diverse set of real-world applications. The task of FGIA targets analyzing visual objects from subordinate categories, e.g., species of birds or models of cars. The small inter-class and large intra-class variations inherent to fine-grained image analysis make it a challenging problem.  Fine-grained image retrieval, as a crucial research area of FGIA, aims to retrieve images belonging to multiple subordinate categories of a super-category (aka a meta-category). Its key challenge therefore lies in understanding fine-grained visual differences that sufficiently distinguish objects that are highly similar in overall appearance, but differ in fine-grained features. Also, fine-grained retrieval still demands ranking all the instances so that images depicting the concept of interest are ranked highest based on the fine-grained details in the query.  In...","","https://www.kaggle.com/competitions/ibiohash-2024-fgvc11","completed","8","","2024-03-08","2024-05-17","2869","2024-11-25 22:36:58","2024-11-25 23:42:11"
 "528","mushroom-multiclass-classification","Mushroom multiclass classification","Create a model that classifies images of the most famous mushrooms from Estonia.","The primary motivation behind creating this competition was to address the challenge of mushroom identification, which poses a significant barrier to safe foraging and educational purposes. Misidentification of mushrooms can lead to health risks, including poisoning. By developing a reliable image classification model using this dataset, we aim to provide a tool that helps individuals accurately identify mushrooms, enhancing safety and promoting knowledge about local biodiversity.  Dataset The Estonian Mushroom Image Classification Dataset is a new collection of images representing the most popular mushroom species found in Estonia. It is structured into ten classes, each corresponding to a specific mushroom species, with annotations regarding their edibility status. The dataset consists of 300 images per class, totaling 3000 images.","","https://www.kaggle.com/competitions/mushroom-multiclass-classification","completed","8","","2024-04-14","2024-05-11","2869","2024-11-25 22:39:26","2024-11-25 22:51:37"
-"529","open-problems-single-cell-perturbations","Open Problems – Single-Cell Perturbations","Predict how small molecules change gene expression in different cell types","Human biology can be complex, in part due to the function and interplay of the body's approximately 37 trillion cells, which are organized into tissues, organs, and systems. However, recent advances in single-cell technologies have provided unparalleled insight into the function of cells and tissues at the level of DNA, RNA, and proteins. Yet leveraging single-cell methods to develop medicines requires mapping causal links between chemical perturbations and the downstream impact on cell state. These experiments are costly and labor intensive, and not all cells and tissues are amenable to high-throughput transcriptomic screening. If data science could help accurately predict chemical perturbations in new cell types, it could accelerate and expand the development of new medicines.  Several methods have been developed for drug perturbation prediction, most of which are variations on the autoencoder architecture (Dr.VAE, scGEN, and ChemCPA). However, these methods lack proper benchmar...","","https://www.kaggle.com/competitions/open-problems-single-cell-perturbations","completed","8","","2023-09-12","2023-11-30","\N","2024-11-25 22:45:56","2024-11-25 22:47:11"
+"529","open-problems-single-cell-perturbations","Open Problems – Single-Cell Perturbations","Predict how small molecules change gene expression in different cell types","Human biology can be complex, in part due to the function and interplay of the body's approximately 37 trillion cells, which are organized into tissues, organs, and systems. However, recent advances in single-cell technologies have provided unparalleled insight into the function of cells and tissues at the level of DNA, RNA, and proteins. Yet leveraging single-cell methods to develop medicines requires mapping causal links between chemical perturbations and the downstream impact on cell state. These experiments are costly and labor intensive, and not all cells and tissues are amenable to high-throughput transcriptomic screening. If data science could help accurately predict chemical perturbations in new cell types, it could accelerate and expand the development of new medicines.  Several methods have been developed for drug perturbation prediction, most of which are variations on the autoencoder architecture (Dr.VAE, scGEN, and ChemCPA). However, these methods lack proper benchmar...","","https://www.kaggle.com/competitions/open-problems-single-cell-perturbations","completed","8","","2023-09-12","2023-11-30","\N","2024-11-25 22:45:56","2024-12-09 19:45:48"
+"530","playground-series-s4e11","Exploring Mental Health Data","Use a mental health survey to explore factors that may cause depression.","Using synthetic data for Playground competitions allows us to strike a balance between having real-world data (with named features) and ensuring test labels are not publicly available. This allows us to host competitions with more interesting datasets than in the past. While there are still challenges with synthetic data generation, the state-of-the-art is much better now than when we started the Tabular Playground Series two years ago, and that goal is to produce datasets that have far fewer artifacts. Please feel free to give us feedback on the datasets for the different competitions so that we can continue to improve!","","https://www.kaggle.com/competitions/playground-series-s4e11","upcoming","8","","2024-11-04","2024-11-30","2648","2024-12-09 16:26:46","2024-12-09 19:45:52"
+"531","ariel-data-challenge-2024","NeurIPS - Ariel Data Challenge 2024","Push the boundaries of astronomical data analysis?","The discovery of exoplanets—planets orbiting stars other than our Sun—has transformed our cosmic perspective, challenging conventional notions about Earth's uniqueness and the potential for life elsewhere. As of today, we are aware of over 5,600 exoplanets. Detecting these worlds is the initial step; we must also comprehend and characterise their nature by studying their atmospheres. In 2029, ESA Ariel Mission will conduct the first comprehensive study of 1,000 extrasolar planets in our galactic neighbourhood.  Observing these atmospheres is one of the hardest data-analysis problems in contemporary astronomy. When an exoplanet transits its host star in our line of sight, a tiny fraction of starlight (50–200 photons per million) passes through the planet's atmospheric annulus and interacts with its chemistry, clouds, and winds. These faint signals typically range from 50ppm (for Super-Earth like planets) to 200ppm (for Jupiter like planets) in magnitude and are regularly corrupted ...","","https://www.kaggle.com/competitions/ariel-data-challenge-2024","completed","8","","2024-08-01","2024-10-31","2648","2024-12-09 16:34:01","2024-12-09 19:45:56"
+"532","rsna-2024-lumbar-spine-degenerative-classification","RSNA 2024 Lumbar Spine Degenerative Classification","Classify lumbar spine degenerative conditions","Low back pain is the leading cause of disability worldwide, according to the World Health Organization, affecting 619 million people in 2020. Most people experience low back pain at some point in their lives, with the frequency increasing with age. Pain and restricted mobility are often symptoms of spondylosis, a set of degenerative spine conditions including degeneration of intervertebral discs and subsequent narrowing of the spinal canal (spinal stenosis), subarticular recesses, or neural foramen with associated compression or irritations of the nerves in the low back.  Magnetic resonance imaging (MRI) provides a detailed view of the lumbar spine vertebra, discs and nerves, enabling radiologists to assess the presence and severity of these conditions. Proper diagnosis and grading of these conditions help guide treatment and potential surgery to help alleviate back pain and improve overall health and quality of life for patients.  RSNA has teamed with the American Society of Neur...","","https://www.kaggle.com/competitions/rsna-2024-lumbar-spine-degenerative-classification","completed","8","","2024-05-16","2024-10-08","2648","2024-12-09 17:12:16","2024-12-09 17:12:24"
+"533","leap-atmospheric-physics-ai-climsim","LEAP - Atmospheric Physics using AI (ClimSim)","Simulate higher resolution atmospheric processes within E3SM-MMF.","Climate models are essential to understanding Earth''s climate system. Because of the complexity of Earth''s climate, these models rely on parameterizations to approximate the effects of physical processes that occur at scales smaller than the size of their grid cells. These approximations are imperfect, however, and their imperfections are a leading source of uncertainty in expected warming, changing precipitation patterns, and the frequency and severity of extreme events. The Multi-scale Modeling Framework (MMF) approach, by contrast, more explicitly represents these subgrid processes, but at a cost too high to be used for operational climate prediction.  Your task is to develop ML models that emulate subgrid atmospheric processes–such as storms, clouds, turbulence, rainfall, and radiation–within E3SM-MMF, a multi-scale climate model backed by the U.S. Department of Energy. Because ML emulators are significantly cheaper to inference than MMF, progress on this front can help scie...","","https://www.kaggle.com/competitions/leap-atmospheric-physics-ai-climsim","completed","8","","2024-04-18","2024-07-15","2648","2024-12-09 18:18:19","2024-12-09 18:18:25"

apps/openchallenges/challenge-service/src/main/resources/db/contribution_roles.csv

@@ -1232,3 +1232,52 @@
 "1231","521","232","challenge_organizer"
 "1232","521","179","challenge_organizer"
 "1233","521","196","challenge_organizer"
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+"1259","533","489","challenge_organizer"
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apps/openchallenges/challenge-service/src/main/resources/db/incentives.csv

@@ -654,3 +654,10 @@
 "653","other","528","2024-11-25 22:39:26"
 "654","monetary","529","2024-11-25 22:45:56"
 "655","other","529","2024-11-25 22:45:56"
+"656","other","530","2024-12-09 16:26:46"
+"657","monetary","531","2024-12-09 16:34:01"
+"658","other","531","2024-12-09 16:34:01"
+"659","monetary","532","2024-12-09 17:12:16"
+"660","speaking_engagement","532","2024-12-09 17:12:16"
+"661","other","532","2024-12-09 17:12:16"
+"662","monetary","533","2024-12-09 18:18:19"

apps/openchallenges/challenge-service/src/main/resources/db/submission_types.csv

@@ -543,3 +543,7 @@
 "542","prediction_file","527","2024-11-25 22:36:58"
 "543","prediction_file","528","2024-11-25 22:39:26"
 "544","prediction_file","529","2024-11-25 22:45:56"
+"545","prediction_file","530","2024-12-09 16:26:46"
+"546","prediction_file","531","2024-12-09 16:34:01"
+"547","notebook","532","2024-12-09 17:12:16"
+"548","mlcube","533","2024-12-09 18:18:19"

apps/openchallenges/organization-service/src/main/resources/db/contribution_roles.csv

@@ -1232,3 +1232,52 @@
 "1231","521","232","challenge_organizer"
 "1232","521","179","challenge_organizer"
 "1233","521","196","challenge_organizer"
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+"1259","533","489","challenge_organizer"
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