Who we are
The objective of the SIG ML:A is to bring two groups of researchers together: on the one hand machine learning experts, and, on the other, substantive researchers interested in applying machine learning to answer novel scientific questions in their domain. SIG ML:A was born out of the idea that such collaborations benefit both sides: machine learning has much to contribute to a host of important domain problems, and, vice versa, domain problems can drive novel developments in machine learning.
OUR AIMS ARE THE FOLLOWING:
- Familiarize substantive researchers with the potential benefits of machine learning in their field;
- Familiarize machine learning experts with the wide range of potential applications of their expertise across different fields;
- Stimulate, facilitate, and participate in smaller high-risk high-gain projects that leverage machine learning to improve a scientific (sub)field.
Our method of achieving these aims is to organize speed presentations showcasing currently running projects applying machine learning to a variety of topics; organize meetings on the application of machine learning to specific fields, or the solution to generic problems across fields, that aim to stimulate joint project proposals; provide small-scale seed funding for such proposals.