Opportunities and Perils of Data Science: an EECS Seminar
34-401 Grier Room A
Speaker: Dr. Alfred Z. Spector. The talk will be followed by a fireside chat moderated by Cadence Design Systems Professor Aleksander Madry.
Data science has provided unprecedented opportunities to learn new insights and to predict, recommend, cluster, classify, transform, and optimize. However, no new technology arrives without complications, and we have recently seen both the press and various political circles illustrating real, potential, and fictional implications of the field. This presentation aims to balance the opportunities provided by data science against the many challenges that have ensued.
About the Speaker: Alfred Spector’s career has led him from innovation in large scale, networked computing systems (at Stanford, CMU, and his company, Transarc) to broad research leadership: first globally leading IBM Software Research and then Google Research. Most recently, he was the CTO at Two Sigma Investments, but is now focused on completing a textbook. In addition to his managerial commitments, Dr. Spector has lectured widely on the growing importance of computer science across all disciplines (CS+X) and on the Societal Implications of Data Science.
- Date: Thursday, November 4
- Time: 4:00 pm - 5:30 pm
- Category: EECS Seminar
- Location: 34-401 Grier Room A