O. Olawale Awe, Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, BrazilEric Vance, Laboratory for Interdisciplinary Statistical Analysis, University of Colorado Boulder, USAKim Love, K. R. Love Quantitative Consulting and Collaboration

“Rarely, but just often enough to rebuild hope, something happens to confound my pessimism about the recent unprecedented happenings in the world. This book is the most recent instance, and I think that all its readers will join me in rejoicing at the good it seeks to do. It is an example of the kind of international comity and collaboration that we could and should undertake to solve various societal problems. This book is a beautiful example of the power of the possible. [It] provides a blueprint for how the LISA 2020 model can be replicated in other fields. Civil engineers, or accountants, or nurses, or any other profession could follow this outline to share expertise and build capacity and promote progress in other countries. It also contain some tutorials for statistical literacy across several fields. The details would change, of course, but ideas are durable and the generalizations seem pretty straightforward. This book shows every other profession where and how to stand in order to move the world. I urge every researcher to get a copy!"-David Banks from the Foreword

• 1 Statistics collaboration and practice in developing countries: experiences, challenges and opportunities 2 Building Capacity in Statistical Consulting and Collaboration Techniques Through The Creation of Stat Labs 3 Statistics education and women empowerment 4 Statistical Literacy and Methods across Disciplines 5 New approaches to statistical learning in developing countries 6 Importance of Statistics in Urban Planning and Development 7 Statistical literacy in the wider society 8 Building Biostatistics Capacity in Developing Countries 9 Technology and Multimedia in Statistical Education and Collaboration 10 Statistical Approaches to Infectious Diseases Modelling in Developing Countries: A Case of COVID-19

O. Olawale Awe, Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, BrazilEric Vance, Laboratory for Interdisciplinary Statistical Analysis, University of Colorado Boulder, USAKim Love, K. R. Love Quantitative Consulting and Collaboration

“Rarely, but just often enough to rebuild hope, something happens to confound my pessimism about the recent unprecedented happenings in the world. This book is the most recent instance, and I think that all its readers will join me in rejoicing at the good it seeks to do. It is an example of the kind of international comity and collaboration that we could and should undertake to solve various societal problems. This book is a beautiful example of the power of the possible. [It] provides a blueprint for how the LISA 2020 model can be replicated in other fields. Civil engineers, or accountants, or nurses, or any other profession could follow this outline to share expertise and build capacity and promote progress in other countries. It also contain some tutorials for statistical literacy across several fields. The details would change, of course, but ideas are durable and the generalizations seem pretty straightforward. This book shows every other profession where and how to stand in order to move the world. I urge every researcher to get a copy!"-David Banks from the Foreword

• 1 Statistics collaboration and practice in developing countries: experiences, challenges and opportunities 2 Building Capacity in Statistical Consulting and Collaboration Techniques Through The Creation of Stat Labs 3 Statistics education and women empowerment 4 Statistical Literacy and Methods across Disciplines 5 New approaches to statistical learning in developing countries 6 Importance of Statistics in Urban Planning and Development 7 Statistical literacy in the wider society 8 Building Biostatistics Capacity in Developing Countries 9 Technology and Multimedia in Statistical Education and Collaboration 10 Statistical Approaches to Infectious Diseases Modelling in Developing Countries: A Case of COVID-19