Issue 4.1, Winter 2022

From the Editor-in-Chief

Kaleidoscopic Data Science

by David C. Parkes

Issue 4.1 / Winter 2022

Panorama

Overviews, Visions, and Debates

Special Theme: World Migration and Displacement: Data, Disinformation, and Human Mobility

Guest Editors: Rita Ko, Marie McAuliffe, and Liberty Vittert

How Can Data Science Revolutionize Humanitarian Crises?

by Liberty Vittert and Rita Ko

A Conversation With António Vitorino

by António Vitorino and Xiao-Li Meng

An interview with António Vitorino by Xiao-Li Meng

When Lions Write: An American Immigrant Story

by Tolu Olubunmi

Data for Good, What Is It Good For?: Challenges, Opportunities, and Data Innovation in Service of Refugees

by Nicole Smith, Muhammed Y. Idris, Friederike Schüür, and Rita Ko

Data, Design, and Deep Domain Knowledge: Science-Policy Collaboration to Combat Misinformation on Migration and Migrants

by Marie McAuliffe, Guy Abel, Adrian Kitimbo, and Jose Ignacio Martin Galan

Misinformation About COVID-19 and Venezuelan Migration: Trends in Twitter Conversation During a Pandemic

by Katharine M. Donato, Lisa Singh, Ali Arab, Elizabeth Jacobs, and Douglas Post

The Humanitarian Journey: From Root Causes to Recovery

by James N. Purcell

Connections

Commentaries (3):

Anne-Marie Grey

•

Scott Tranter

•

Tyler Radford & 1 other

Cornucopia

Impact, Innovation, and Knowledge Transfer

Increasing Uptake of Social Distancing During COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions

by Grace Charles, Mokshada Jain, Yael Caplan, Hannah Kemp, Aysha Keisler, Vincent Huang, and Sema Sgaier

The How Matters: Simulation-Based Assessment of the Potential Contributions of Lateral Flow Device Tests for Keeping Schools Open and COVID-Safe in England

by Kevin Kunzmann, Camilla Lingjaerde, Sheila Bird, and Sylvia Richardson

Stepping Stones

Learning, Teaching, and Communication

Widening Access to Applied Machine Learning With TinyML

by Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Lara Suzuki, Anant Agarwal, Colby Banbury, and 17 more

Data Science and Energy: Some Lessons From Europe on Higher Education Course Design and Delivery

by Hussain Kazmi, Íngrid Munné-Collado, Khaoula Tidriri, Lars Nordström, Frank Gielen, and Johan Driesen

Milestones and Millstones

Foundations, Theories, and Methods

Featured Discussion

When Quantum Computation Meets Data Science: Making Data Science Quantum

by Yazhen Wang

by Anurag Anshu

Some Recent Progress in Learning Theory: The Quantum Side

by Nana Liu

Data Science on a Future Quantum Internet

by Richard David Gill

Quantum Computation, Data Science, Bell Games

by Yaakov Weinstein

Inspiring Quantum Data Analysts

by Mária Kieferová and Yuval Sanders

Assume a Quantum Data Set

by Khadijeh Najafi, Susanne F. Yelin, and Xun Gao

The Development of Quantum Machine Learning

Effective Policy Learning

Data Science for Policy Making and Makers

Column Co-Editors: Frauke Kreuter and Nancy Potok

A Value-Driven Approach to Building Data Infrastructures: The Example of the MidWest Collaborative

by Jessica Cunningham, Anna Hui, Julia Lane, and George Putnam

Recreations in Randomness

Data Science for Leisure Activities

Column Editor: Mark Glickman

Finding Love on a First Data: Matching Algorithms in Online Dating

by Liesel Sharabi

Bits and Bites

Rethinking Engagement: Challenging the Financial Model of Social Media Platforms

by Tom Casey

The Role of FOMO in Digital Transformation

by Ben Dooley

AI and Creativity

by Nini Hu

Can Digital Construction Save the Planet?

by Holger Pietzsch

The Future of AI in Business: Chewbacca, Chatbots, and Why I Won’t Win at Ms. Pac Man

by Raiford Smith

Transforming Hiring and Retention: Mr. Edison Meets AI/ML

by Maryse Williams