Takwimu Young Statisticians Programme

Launched in July 2021 under the leadership of the African Centre for Statistics and the UN Economic Commission for Africa, the programme is dedicated to the development of young statisticians in Africa.

This forum for early and mid-career African Statisticians aims to serve as the locomotive for transformation and modernization of the African Statistical Systems and leverage the power of young statisticians in developing a robust statistical system in Africa. The programme recognizes that statistical development in Africa requires sound training of young statisticians and their involvement in statistical affairs on the continent.

As part of the programme, the African Centre for Statistics, is organising a webinar for Young Statisticians on 17 November 2021. This will build on the potential of the youth and their problem-solving abilities in contributing to finding solutions to the challenges faced by the African Statistical System. For more information, contact Mr. Edem Kludza of ECA at This email address is being protected from spambots. You need JavaScript enabled to view it..

Learn more about African Centre for Statistics and UN Economic Commission for Africa.

2022 IAOS Young Statisticians Prize Announcement of Competition


Calling all Young Official Statisticians
Win a trip to an international statistical conference

The International Association for Official Statistics (IAOS) is pleased to announce the launch of the 2022 IAOS Young Statisticians Prize. This international prize encourages young statisticians to take an active interest in official statistics and is awarded for the best paper in the field of official statistics written by a young statistician.

In addition to the monetary prizes, the first-place winner(s) receive travel funds to present their paper at an international conference. Details of the conference will be decided in conjunction with the winner and may include the 2022 IAOS Conference being held in Krakow, Poland in April 2022.

Submissions should address and propose solutions to pressing methodological or strategic issues in the area of official statistics at the regional, national or international level, be no more than 4,000 words, be submitted in English and should not have been previously presented in a public forum or published. A maximum of three co-authors is allowed for each submission and an author can participate in only one submission.

An international panel will judge submissions based on the following criteria:

  • Scientific and/or strategic merit
  • Originality
  • Applicability of the ideas in the practice of statistical organizations
  • Quality of the exposition.

The 2020 prize winner, Ms. Kenza Sallier, shared her tips on preparing a winning submission in this presentation (LINK).  Her presentation is recommended viewing. 

Papers must be submitted before 11:59pm (UTC) on 11 February 2022.

For more details about the 2022 IAOS Young Statisticians Prize and requirements for submissions, please see HERE.

Ongoing legal proceedings against Andreas Georgiou

The heads of the American Statistical Association (ASA), International Statistical Institute (ISI) and Royal Statistical Society (RSS) issue a letter to the Prime Minister of Greece regarding the continued prosecution of Dr. Georgiou.

IASS Webinar: "Building a Sample Frame of SMEs Using Patent, Search Engine, and Website Data", 2 September 2021


International Association for Survey Statisticians (IASS) is organizing a webinar entitled "Building a Sample Frame of SMEs Using Patent, Search Engine, and Website Data" on Thursday, 2 September 2021 at 1 pm - 2:30 pm (CET).

Webinar Abstract

This research outlines the process of building a sample frame of US SMEs. The method starts with a list of patenting organizations and defines the boundaries of the population and subsequent frame using free to low-cost data sources, including search engines and websites. Generating high-quality data is of key importance throughout the process of building the frame and subsequent data collection; at the same time, there is too much data to curate by hand. Consequently, we turn to machine learning and other computational methods to apply a number of data matching, filtering, and cleaning routines. The results show that it is possible to generate a sample frame of innovative SMEs with reasonable accuracy for use in subsequent research: Our method provides data for 79% of the frame. We discuss implications for future work for researchers and NSIs alike and contend that the challenges associated with big data collections require not only new skillsets but also a new mode of collaboration.

Biography of Speakers

Sanjay K. Arora is an innovation policy and management researcher who uses emerging big data sources to measure small firm R&D and entrepreneurial activity. He is also an ML Engineering Business Leader at EY, the global audit and consulting firm. Sanjay currently resides in Washington, DC.

Sarah Kelley, MIDS, is a Senior Data Scientist at Child Trends where her work focuses on the intersection of social science and data science, especially using natural language processing and machine learning to answer social science questions.


The IASS webinar is open to all. Please register for the webinar here. After registering, you will receive a confirmation email containing information about joining the webinar. There will be time for questions. The webinar will be recorded and made available on the International Statistical Institute (ISI) website