Contributed talks on strong lensing.

Contributed talks (abstracts):

1. Anupreeta More - The Rubin Static Strong Lensing Data Challenge: Towards Automated Discovery and Modelling at LSST Scale
2. Margherita Grespan - The promise of self-supervised and active learning for Strong Lens discovery: Astronomaly applied to KiDS
3. Prajakta Mane - Testing LSST DIA pipeline to identify lensed transients: tests with HSC and DP1 data
4. Satadru Bag - Discovering lensed SNe through deep learning multi-epoch LSST imaging data
5. Paul Schechter - Tests of an alert filter for on-the-fly modeling of quadruply lensed SNe
6. Veena Krishnaraj - Strongly lensed supernovae in focus: deblending marginally resolved lenses via joint modeling of ground and space-based imaging
7. Connor Stone (V) - Caustics: a differentiable, GPU accelerated, gravitational lensing simulator
8. Aysu Ece Saricaoglu - On the Search for Dark Matter: Strong Lenses with LSST