First Annual Data Science Forum (DSF)

The first annual Data Science Forum (DSF) brings together two events to form a four-day exploration of data science and engineering and the many disciplines it influences and informs. The anchoring event of DSF is the Machine Learning in Science and Engineering (MLSE) conference, which is now enjoying its second year.

The Women in Data Science Workshop (WDSW) on June 9th–10th kicks off DSF as a 1-1/2 day event focusing on women and building a community of women data scientists. The first day will showcase talks by prominent women data scientists and include a panel discussion and community building activities.

History

On May 10, 2017, an internal symposium known as Machine Learning in Science and Engineering was held at Carnegie Mellon University to identify ways in which these computational tools are advancing diversity in several fields. Based on the strong response at CMU, an open conference was held on June 6–8, 2018 at the CMU campus in Pittsburgh in partnership with Georgia Tech.

This conference surveyed advances in basic research that utilizes methods of artificial intelligence, the development of new machine learning algorithms designed for science and engineering problems, and ways that these methods are leading to innovations across these fields. Researchers from academia, government, and industry participated in a unique and fascinating forum on the future of research and innovation in science and engineering.