David Corliss looks at how statisticians and data scientists working in industry are the best people to help identify scientists in academia and government who can provide essential expertise.
Columns
NSF’s Division of Undergraduate Education Teams Up with Statisticians, Data Scientists
To bridge the gap between the statistical community and the National Science Foundation, we continue to pose questions to NSF program officers and awardees. This month’s program officer is from the Division of Undergraduate Education and the awardees are from several universities. Here, they discuss the innovative efforts and impactful projects making a difference in undergraduate education.
Statistical Support Needed for Workplace DEI
David Corliss discusses how statisticians and data scientists can support greater diversity.
From Transaction to Transformation
In her column this month, Bonnie Ghosh-Dastidar shares ways to participate in transformational interactions in the ASA community.
Budgets See Cuts, Flat Funding for Research, Federal Statistical Agencies
Finalized in March, the federal government fiscal year 2024 budget generally delivered cuts for research funding and statistical agencies. President Joe Biden’s FY25 budget request was also more modest than in past years, largely requesting flat funding.
Network, Learn, Grow
ASA President Bonnie Ghosh-Dastidar has attended the Joint Statistical Meetings as a student, early-career professional, ASA section chair, and statistics group leader. Here are her top 10 tips for a successful conference.
JSM 2024 a Data for Good Treasure Trove
In just a few weeks, thousands of statisticians and data scientists will gather in Portland, Oregon, for the Joint Statistical Meetings. David Corliss shares ways to connect with new collaborators and get ideas for D4G projects.
JEDI at JSM
The JEDI Outreach Group is the primary or co-sponsor for 11 JSM sessions this year, with leading researchers and emerging leaders covering a wide variety of interests.
Infusing Data-Centered Pedagogy into Introductory Statistics
To strengthen the connection between the statistical community and National Science Foundation, we continue the series that poses questions to NSF program officers and awardees. This month, we focus on awardee responses from a team at North Carolina Agricultural and Technical State University led by Sayed Mostafa.
Unlocking Statistical Insights: NSF’s Push for Mathematical Foundations of Digital Twins
This month, Yulia Gel, serving her third year as a rotator program director, discusses digital twins, while awardee Qing Mai, a professor at Florida State University, discusses her $479,000 NSF-funded project on innovative clustering methods for complex data sets.