International Conference on Data Mining and Big Data

The UN Statistics Division and Statistics Korea (National Statistical Office of the Republic of Korea) have co-organized every year an international seminar regarding important issues on the global statistical agenda since 2010. The seminar has covered a variety of social and economic issues from the perspective of statistics. For example, we have discussed the role of data and statistics in understanding open data and data disaggregation for reaching Sustainable Development Goals; and using big data for official statistics. As we recover from the COVID-19 pandemic, the significance of timely data using new data sources and data linkage has increased and it has provided us with new opportunities to the international statistical community for discussing the data stewardship and the data security issues.

The analytics engineering conference returns October 17-21, with live and remote options to accommodate attendees in all timezones. Join dbt Labs and thousands of data humans like you to rethink how the world does data.

The annual Summit (previously known as the annual Symposium) is the largest annual data science and AI event on campus. The event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members).

In her new book Trafficking Data: How China is Winning the Battle for Digital Sovereignty, Aynne Kokas looks at how technology firms in the two largest economies in the world, the United States and China, have exploited government policy (and the lack thereof) to gather information on citizens. Kokas argues that US government leadership failures, Silicon Valley's disruption fetish, and Wall Street's addiction to growth have fueled China's technological goldrush. In turn, American complacency yields an unprecedented opportunity for Chinese firms to gather data in the United States and quietly send it back to China, and by extension, to the Chinese government. This talk examines the governance challenges presented by data trafficking and proposes potential pathways to improved data governance to protect national sovereignty and democracy.