Jinran Wu

A researcher in applied statistics and data science

[The Innovation: a Cell Press partner journal @The_InnovationJ]

This Commentary presents an integrity-centered governance framework linking carbon evidence with baselines, additionality, permanence, uncertainty management, transparent auditing, feasible implementation, and sustained farmer participation to support durable climate action and sustainable agriculture.
@The_InnovationJ
https://t.co/a69IKCS98a
#SustainableAgriculture

[The Innovation: a Cell Press partner journal @The_InnovationJ]

New in @The_InnovationJ! AI for science Progress, challenges, and perspectives.
In this review, Xu et al. systematically evaluate the progress of AI for Science (AI4Science), characterized by the shift from text-centric generation to reasoning-oriented intelligence and the deep embedding of foundation models into the entire research lifecycle.
https://t.co/1sQMoqJ90o
#AIforscience #foundationmodels

[The Innovation: a Cell Press partner journal @The_InnovationJ]

Call for Papers | The Innovation Informatics
Theme: Frontiers in Informatics Science—Intelligent Empowerment and Paradigm Shift.
This theme focuses on core scientific breakthroughs and domain transformation within Informatics. We welcome all original research that demonstrates significant advances in theoretical concepts, technological innovations, and major real-world applications.
We look forward to your contributions. Join us in advancing this new era of intelligent science with your forward-looking perspectives, solid achievements, and cross-disciplinary thinking.
#informatics

[Jinran Wu @JinranWu]

https://t.co/kwLvGl3dIR

[Jinran Wu @JinranWu]

Excited to join the @PLOSONE Editorial Board, an #OpenScience journal publishing trusted research in over 200 subject areas across science, engineering, medicine and the related social sciences and humanities.

[Jinran Wu @JinranWu]

We are looking for some interesting papers on "Machine Learning in Environmental Modeling" for our special issue of the Journal Environmental Modeling & Assessment!

[Daniel VandenHeuvel @DJVandenH]

New paper on regression techniques for forecasting electricity demands that are robust against cyberattacks in the International Journal of Forecasting #IJForecasting. Joint work with You-Gan Wang and Jinran Wu. https://t.co/kgmN8SbB9r.

[Jinran Wu @JinranWu]

My first COVID-19 paper is online. An evaluation of the impact of COVID-19 lockdowns on electricity deman... https://t.co/SO4qEcnrbj