Guest article written by Amy Kaczur and Scott Murray of MIT Institute for Data, Systems, and Society (IDSS)
“This work is about building the systems that we want to see in the world.” – Prof. Cathy Wu, MIT IDSS.
The WiDS Cambridge conference hosted in collaboration with WiDS Worldwide was a resounding success, marked by engaging discussions and valuable insights into data science and its impact on various fields. The overarching theme of the conference was sustainable computing.
One of the top highlights was that WiDS Worldwide collaborated in shaping the events and joined us on site. Executive Director of WiDS Worldwide Chisoo Lyons, who attended WiDS Cambridge in person, emphasized the value of this experience and leadership, and of the WiDS inclusive community, in her opening remarks. “WiDS is about shaping the future of data science and AI,” she said, “not just for women, but for everyone.”
The keynote talk “Efficient Computing for AI and Robotics” was delivered by Vivienne Sze, a professor in MIT’s Department of Electrical Engineering and Computer Science (EECS). Her group works on computing systems that enable energy-efficient machine learning, computer vision, and video compression/ processing for a wide range of applications, including autonomous navigation, digital health, and the internet of things. She is widely recognized for her leading work in these areas and has received many awards. It sparked lively interaction among attendees. Participants gained practical knowledge and innovative strategies for applying data science toward energy-efficient systems in their own work.
Another standout of the event, MIT IDSS Director Fotini Christia moderated a panel on industry perspectives and career journeys, and was joined by CEOs, board directors, and data scientists. Panelists discussed the importance of technical competence and talking the talk, but also how essential communicating goals, outcomes, and impacts are to success.
Event statistics revealed a diverse audience, with over 300 attendees from different backgrounds, showcasing the growing interest in the field. Many expressed appreciation for the panels on sustainable computing focused on Climate, and large-scale Systems & AI, networking opportunities, mentoring sessions, poster sessions & lightning talks, and recruiting time that allowed them to deepen their skills and foster new meaningful connections. A standout testimonial from one attendee encapsulated the spirit of the event:
“WiDS Cambridge ignited my passion for data science and opened new paths for collaboration and learning.”
Overall, the event was a platform for inspiration and connection within the data science community!
Photo credit: Gerel Bayarmagnai