Interconnection with CoronatNet

[jarasch]

Alexander talked to the team of CoronatNet and there could be a possible link between the data sources.

Dear Covid-Graph Team, We are writing to you on behalf of the CoronaNet Research Project, an academic collaboration between the Hochschule für Politik at the Technical University of Munich, New York University in Abu Dhabi, the University of Southern California, Universidade de Brasília and Nazarbayev University. We are reaching out to you to ask whether there might be the possibility of cooperating or coordinating with you and the work that you have been doing in visualizing COVID-19 data projects and their findings. To introduce ourselves and our work briefly, we are an academic non-profit initiative running a large-scale data collection effort with more than 600 scholars worldwide to comprehensively understand government responses to the COVID-19 pandemic. We gather fine-grained and standardized information about how, when and towards whom, governments have made such policies for virtually all countries around the world. Within the last 6 months, the project has collected over 40.000 policies on government policies announced in response to COVID-19. We have done so in part by making use of digital technology and building internal institutions to manage this work (you can find more information about our methodology in a paper published at Nature Human Behaviour describing our dataset: https://www.nature.com/articles/s41562-020-0909-7). As the COVID-19 pandemic is an ongoing crisis that requires international cooperation, we are actively looking for partners and initiatives with whom we share expertise to work together with toward tracking government policies. You can find further information about our project and database on https://www.coronanet-project.org/index.html The biggest issue we face is how to visualize our data. We would like to create an interactive map that allows people to make the most of our data. Unfortunately, we are swamped with the data collection, validation, and cleaning and our data visualization team consists of few but motivated students. We are reaching out to you as we anticipated your amazing work and expertise and would appreciate to talk with you about potential ways to cooperate. If you are interested in a first call, feel free to reach out to us! We look forward to hearing from you. Best regards, Luca Messerschmidt and Cindy Cheng Principal Investigators at CoronaNet