#Data4COVID19 Round-Up: 4 February
LAUNCH: Free online course on AI Ethics
Today, The GovLab, NYU Tandon School of Engineering, Global AI Ethics Consortium (GAIEC), Center for Responsible AI @ NYU (R/AI), and the TUM Institute for Ethics in Artificial Intelligence (IEAI) jointly launched the free, online course, AI Ethics: Global Perspectives. Designed for a global audience, it conveys the breadth and depth of the ongoing interdisciplinary conversation on AI ethics. This course seeks to bring together diverse perspectives from 20 experts across the field of ethical AI, to raise awareness and help institutions work towards more responsible use, including specifically as it relates to COVID-19. Learn more and register here.
Final Days to Submit a Proposal for the #Data4COVID19 Africa Challenge
There are only a two days left to submit proposals to the #Data4COVID19 Africa Challenge. Launched in December by the French Development Agency (AFD), alongside Expertise France and The GovLab, the challenge solicits innovative ideas on data re-use related to the spread of COVID-19 in Africa. The challenge seeks ideas targeted at the public health, economics, and socio-political consequences of the ongoing crisis. It is looking for proposals for data collaboratives that can provide actionable intelligence for Africa-based decision-makers through the sharing of non-traditional datasets.
Organizations interested in applying for support are asked to submit proposals through the challenge site by February 5, 2021. Additional information on the challenge can be found there or in the webinar recording published here. Additional questions can be directed to firstname.lastname@example.org.
#Data4COVID19 Africa Challenge Reviewers
Relatedly, AFD, Expertise France, and The GovLab are looking for experts to be involved in assessing #Data4COVID19 Africa Challenge project proposals. Participation would entail assessing roughly 5 proposals for creating purpose-driven data collaboratives to address COVID-19 in Africa. Reviewers’ input will be shared directly with AFD who will make the final funding decisions.
If you are based in an Africa Union country or work in development and have experience in data collaboration, we encourage you to contact us at email@example.com.
Please make the subject line of your email “#Data4COVID19 Africa Challenge Review Board” and enclose a resume or CV. Clearly indicate if you possess French language proficiency.
Data Responsibility Journey User-Testing
As part of its work with COVIDaction, an initiative to help decisionmakers use data to tackle COVID-19, The GovLab is building an interactive tool to map risks and responsibilities across the data life cycle and nudge and guide responsible decision making along the journey. The tool is intended to support the design or assessment of data collaboratives, especially those supporting the response to COVID-19 in developing countries.
The interactive, customized tool will be publicly launched in March after an initial user-testing period. To support its development, The GovLab and COVIDaction are organizing a series of user-testing workshops to solicit feedback on the Data Responsibility Journey. We are eager to tap into the wisdom of individuals with experience in using data in a development context across public agencies; humanitarian and development organizations; businesses; and civil society organizations. If you are interested in participating, please fill out our form here.
Additional information on the effort can be found at the blog post here. Further queries can be directed to firstname.lastname@example.org.
What’s New in the #Data4COVID19 Repository
The GovLab has been working to update the #Data4COVID19 repository. In the last two weeks, it added 3 entries, expanding it to 225 in total. Projects now span:
- East Asia and Pacific: 10
- Europe and Central Asia: 44
- Latin America and the Caribbean: 7
- Middle East and North Africa: 1
- North America: 73
- South Asia: 4
- Sub-Saharan Africa: 12
- Global: 86 (+3)
Each week, we will highlight a few of those recent additions to the repository that you might have missed. These examples illustrate innovative methods, appear demand-driven, or otherwise demonstrate an attempt to translate insights into action. We also aspire, to the extent possible, to make the selections geographically diverse. A project’s inclusion does not indicate endorsement by The GovLab or confirmation of its success in meeting its goals.
This week we examine two projects that analyze mobility data to understand how aggregated movement patterns correlate with economic and public health outcomes.
IMF World Economic Outlook, October 2020: The International Monetary Fund released an analysis assessing the impact of COVID-19 and subsequent lockdown measures on economic activity. The analysis relies on real-time mobility data on 128 countries provided by Google and job posting data from the company Indeed to act as proxies for economic activity. From these assets, the researchers found significant drops in movement in high-income countries as well as declines in job postings. The analysis also used mobility data on Italy, Portugal, and Spain from the telecommunications company Vodafone. Their analysis of this data found that stay-at-home orders and school closures had greater effects on women than men (suggesting women bear much of the burden in childcare) and that younger people (18 to 24 and 25 to 44) more significantly reduced their mobility than older cohorts.
University of Melbourne COVID-19 Mobility and Movement Analysis: Researchers at the University of Melbourne used mobility data provided through Facebook’s Data for Good initiative to analyze and represent movement amid the COVID-19 pandemic. The analysis reflects global activity as well as specific countries across six continents. While the code is publicly accessible, allowing anyone to repeat the analysis, people seeking to recreate it entirely will need access to data provided by Facebook’s Data For Good initiative.
You can also find additional resources related to data stewardship and data collaboration here.