Building Data and Statistical Literacy in Sudan
July 11, 9:00 - 12:00, Harshil Parikh (Tuva Labs Inc., USA)
We designed, built, and implemented a data literacy and statistical capacity building program in Sudan in collaboration with the World Bank (and other partners) to catalyze the use of reliable data and statistics to inform evidence-based policymaking in the country.
The four day program was conducted in English and Arabic to a diverse audience of government officials, NGO leaders, journalists, and faculty members and students from local universities in Khartoum. The program was implemented in a blended learning format - participants completed short, interactive, self-guided lessons and participated in group tasks and discussions.
The curriculum for the program was designed from the ground up to meet the needs of diverse Sudanese participants. The 2008 Sudan Household Survey Data, 2013 Healthcare Report from the Sudanese Ministry of Health, Nile River data, and Khartoum weather data were used in the modules and lessons to ensure that the curriculum tasks are authentic and immediately relevant for the participants. A post-assessment was administered to measure how the participants were able to learn foundational data and statistical concepts using the Tuva tools, Sudanese datasets, and our interactive modules and lessons.
Based on the results from the post-assessment, the program was successful in building data and statistical capacity of the participants. The program curriculum is being adapted into various university courses, ensuring that it is sustained beyond the initial launch. In addition, there is evidence that the overall approach and design of the Sudan program is being adopted by several other data literacy and statistical capacity building projects at the World Bank.
This program was the first-of-its-kind in Sudan and it is likely to become a foundation for future capacity building and data-driven development work in the country.
Towards a country-level federated platform for big data and statistics education based on Amazon Web Services, AWS Educate and RosettaHUB
July 11, 9:00 - 12:00, Karim Chine and Latifa Bouabdillah (RosettaHUB Ltd., UK)
AWS is Amazon's public cloud, the world's largest cloud in terms of market share and technological advancement. Amazon's cloud is emerging as an indispensable tool for scientific research and as a key innovation platform for education. AWS democratizes access to a broad spectrum of technologies, especially big data-related ones. A new Amazon program: AWS Educate allows students and professors to receive $ 100 and $ 200 coupons to be used freely on AWS for educational activities. RosettaHUB, a "man-data interaction" platform aims at establishing a global scientific, social and collaborative meta-cloud. In particular, it enables the creation of virtual teaching and research environments based on real-time collaboration, reproducibility and application convergence of scientific computing and data analysis tools on any infrastructure, including AWS. It simplifies and democratizes the chain of production and publication of applications and services in the arena of data science and big data. In collaboration with Amazon, RosettaHUB has helped nearly 2,000 students and 500 teachers and researchers from 30 Tunisian higher education institutions to join the AWS Educate program. RosettaHUB has developed the necessary monitoring and control technologies to enable massive educational use of AWS and has also made available to the institutions its technological platform to easily transform AWS resources into state-of-the-art instruments for teaching and research.
In this workshop, we will introduce the initiative and give an overview of different statistics and big data-related courses it has enabled. The key platform capabilities will be presented including the virtual workbench, the federation consoles, the social framework, the statistics and big data eLearning apps designer and the statistics apps marketplace.
More information about the platform can be found at www.rosettahub.com.
See Why Students Love JMP
July 11, 14:00 - 17:00, Volker Kraft (SAS Institute, Germany)
The unique learner experience during the exploration and analysis of Big Data in JMP will be demonstrated using a case study approach. We will explore and analyze a collection of examples including geographic, messy and unstructured data. See why students having access to interactive and visual tools cannot wait to "jmp" into their data, making JMP particularly suited for teaching the underlying concepts of real-world analytics in an engaging way.
All workshop content will be shared with the attendees who are welcome to follow the demos on their own computers. A free 30-day license of JMP 13 for Windows or Mac can be downloaded at www.jmp.com/try and should be pre-installed before the workshop.
Reconceptualising Statistical Literacy
July 11, 14:00 - 17:00, Jim Ridgway (Manchester University, UK
This Workshop investigates the dimensions of statistical literacy in the context of contemporary society. Participants will analyse tasks, and explore the extent to which current curricula and assessment systems reflect the statistical skills necessary to function in the modern world.
We start from a UNESCO definition of literacy. “Literacy is the ability to identify, understand, interpret, create, communicate and compute... Literacy involves a continuum of learning in enabling individuals to achieve their goals, to develop their knowledge and potential, and to participate fully in their community and wider society.”
ProCivicStat is an ERASMUS+ funded project designed to engage high school and undergraduate students with evidence and statistical analysis relevant to the progress of society, via topics such as such as poverty, migration and inequality. We have developed a framework for describing statistical literacy that maps out the knowledge bases, skills, and other enabling processes that are needed to understand and engage with statistics about society. The framework comprises 3 dimensions, each with a number of elements, namely: Reflections and Stance (e.g. Meaning for Society and Policy; Critical Evaluation and Reflection); Knowledge (e.g. Models and Representations, Methodology and Enquiry processes); Enabling Processes (e.g. Quantitative Core; ICT and Search).
The framework is designed to facilitate the analysis of curricula and assessment systems. Do current assessment systems reflect what we view to be valuable, or does technical mastery dominate? Do current curricula reflect key skills, or are they unbalanced?
The Workshop will engage users in working with and classifying tasks from a range of sources, notably the 2016 GAISE Guidelines, and tasks based on stories and images found in the media.
Participants will receive a description of the conceptual framework, and a task set, ahead of the Workshop.
Using IPUMS Data to Address Sustainable Development Goals: Analysis of Real World Policy Challenges using Real World Data
July 11, 14:00 - 17:00, Lara Cleveland and Kristen Jeffers (University of Minnesota, USA)
IPUMS-International (census data) and IPUMS-DHS (Demographic & Health Surveys) are two of the data projects disseminated by ISRDI—the Institute for Social Research and Data Innovation at the University of Minnesota. A leading developer and disseminator of demographic data, IPUMS serves a broad audience of over 60,000 demographic and health researchers worldwide. IPUMS partners with national statistical offices and other organizations worldwide to provide integrated and harmonized microdata and metadata free of charge to educators and educators.
This hands-on session will introduce participants to the power and ease-of-use of IPUMS and IDHS for teaching statistics using free data contributed by partner countries and organizations. As an example of how the data can be used, presenters will demonstrate how to build indicators to measure progress toward the United Nations "2030 Agenda for Sustainable Development" (SDGs). The SDGs are comprised of 17 global goals and 169 targets. At least 10 goals and more than two dozen targets can be measured using data available in IPUMS-International and IPUMS-DHS.
Participants are asked to bring their own laptops. Following an introduction to the datasets and the SDGs, participants will do a series of exercises to showcase the interactive metadata available on the web, the customized microdata extract system, on-line tabulator, individual educator / researcher home page, and the classroom registration system.