Call For Papers

ADIA Lab Best Award in Climate Data Sciences: Pioneering Solutions for a Sustainable Future

In 2024, ADIA Lab announced a call for papers on Climate Data Science, offering a USD 100,000 prize pool to three final winners. Today, we are pleased to announce the three winners of the 2024 Best Paper Award.

First Place

Francesco Immorlano, Veronika Eyring, Thomas le Monnier de Gouville, Gabriele Accarino, Donatello Elia, Stephan Mandt, Giovanni Aloisio, and Pierre Gentine: Transferring climate change physical knowledge.

Second Place

Himanshu Sharma, Manish Shrivastava, and Balwinder Singh: Physics informed deep neural network embedded in a chemical transport model for the Amazon rainforest

Third Place

Eleonora Dallan, Marco Borga, Giorgia Fosser, Antonio Canale, Bardia Roghani, Marco Marani, and Francesco Marra: A Method to Assess and Explain Changes in Sub-Daily Precipitation Return Levels From Convection-Permitting Simulations

The Seminars for all 5 finalists in the Best Paper Award are available on our YouTube channel.

Congratulations to our winners and all those who took part.

Stay tuned for our 2025 Best Paper Award call.

Motivation


This call for papers was aimed at highlighting and promoting the significant role of data science in the field of climate science, underscoring its potential to address some of the most pressing environmental challenges of our time. In the spirit of fostering innovative research and interdisciplinary applications that leverage data science for climate science advancements, ADIA Lab announced its 2024 Best Paper Award for outstanding contributions in this area, looking for outstanding submissions that fit one or more of the following topics:

Topics


  • Climate Modeling, Simulation and Prediction: Advances in climate modeling, simulation, and prediction techniques, including improvements in spatial and temporal resolution, parameterizations, and incorporation of feedback (land-ocean-atmosphere) mechanisms through hybrid AI-physics-based models and/or post-processing methods.

  • Climate Observations and Data Excellence: improving the quality, coverage, and accessibility of climate observations through innovative data integration and fusion techniques. This includes leveraging diverse observational datasets from ground-based stations, satellites, remote sensing platforms, and other sources to enhance our understanding of climate dynamics and variability.

  • Integrated Assessment Modeling of Climate-Economic Systems: Developing integrated assessment models that combine climate science, economics, and social sciences to evaluate the impacts of climate policies, emissions scenarios, and adaptation strategies on socio-economic systems at global, regional, and local scale.

  • Climate Data Visuanimation and Communication: Designing innovative data visualization and animation tools and communication strategies to effectively convey complex climate science findings to policymakers, stakeholders, and the public, fostering informed decision-making and public engagement.

  • Extreme Weather Events: Utilize big data to enhance our understanding of the causes and impacts of extreme weather events such as dust storms, hurricanes, droughts, heatwaves, and heavy precipitation, including their frequency, intensity, and spatio-temporal distribution.

  • Non-Conventional Climate Adaptation Tools: identifying, developing, and evaluating non-conventional climate adaptation tools and strategies that complement traditional approaches to enhance resilience to climate change impacts. This encompasses innovative data-driven approaches, technologies, practices, and interventions aimed at reducing vulnerabilities and enhancing adaptive capacity across various sectors.

Submissions


Submissions were encouraged to demonstrate how their research addresses complex climate challenges through the application of data science, offering insights that contribute to our understanding and mitigation of climate change. We welcomed contributions that blend theoretical innovation with practical applications, offering clear evidence of the impact of data science on climate science.

Timeline


The review of papers proceeded according to the following timeline:

  • Submission Deadline: Papers were submitted by December 31, 2024, at midnight (Abu Dhabi time).

  • Eligibility: Submissions included unpublished papers, papers published in pre-print form or under journal review, and journal articles published after January 1, 2023. Papers behind a paywall were also eligible. Papers that had previously won international prizes were not eligible.

  • Submission Process: Authors emailed their submissions, including a cover letter, a link to the publication (public repositories such as SSRN, ArXiv, or a journal website were preferred), and the names, affiliations, and contact details of all authors.

  • Review Process: A blind peer-review process was conducted, and finalists were notified with their work announced on ADIA Lab’s website in April 2025.

  • Final Presentations: Finalists presented their papers online in May 2025, with one presentation held each week.

  • Award Announcement: The winners were announced at a public event in June 2025.

Prize


A total prize pool of USD 100,000 is distributed among the authors of the top three papers, while the remaining two finalists each receive a diploma. Authors are free to publish their work in a journal of their choice, further contributing to the field of climate science.

Terms And Conditions


For a full description of the terms and conditions, please visit Terms and Conditions for Submissions. Anyone submitting a paper is deemed to have read and agreed to these terms and conditions.