The spring issue of CHANCE looks at the economic impact of COVID-19 in the UK, the US intelligence career of Solomon Kullback, and bias in shared data.
INFORMS Student Paper Prize Applicants Sought
The INFORMS Optimization Society Student Paper Prize recognizes papers by promising students who are looking for an academic or industrial career. The award includes a cash prize of $3,000 and a citation certificate.
Survey Research Methods Section News for May 2021
The Survey Research Methods Section proceedings from the 2020 Joint Statistical Meetings are now available.
StatFest Back for 21st Year in 2021
StatFest 2021 is a free conference over two half days aimed at encouraging BIPOC undergraduates to pursue careers or graduate studies in the statistical and data sciences. This year’s event will take place virtually September 18–19.
Sharon Lohr Receives Waksberg Award
The 2021 recipient of the Waksberg Award is Sharon Lohr, who will give the Waksberg Invited Address at the Statistics Canada 2021 Symposium and write a paper for Survey Methodology.
2021 COPSS Award Winners
The Committee of Presidents of Statistical Societies (COPSS) presents awards annually to honor statisticians who have made outstanding contributions to the profession. This year, 12 statisticians were honored with awards.
ISBA Accepting Submissions for Savage Award
The Prize Committee of the International Society for Bayesian Analysis is accepting submissions for the 2021 Savage Award until May 31. A monetary prize of $750 will be awarded.
Registration Open for USCOTS 2021
Registration is open for USCOTS 2021, which will be held virtually June 28 – July 1 with pre-conference workshops starting June 24.
Education Advocacy: Bending the ‘Moral Arc of the Universe’ with Data for Good
Education advocacy has a special place in Data for Good, partly for addressing such an important issue and also for how it builds the future.
Using Our Superpowers to Contribute to the Public Good
Rob Santos believes statisticians are superheroes, but their superpowers are only as good as their underlying assumptions.