- E. Boyle, Using FOSS to develop a spatial and temporal visualisation of COVID-19 data: A visualisation of the spatial and temporal distribution of the 2020 COVID-19 pandemic using open technologies and resources. There are many visualisations on all media platforms of datasets relating to the distribution of the 2020 COVID-19 pandemic. Some are map-based, showing the geographic distribution of pandemic-related datasets (such as numbers of cases and deaths per country) and some are line and bar charts showing the variation of this data over time (such as curves of numbers of infections and recoveries). Hardly any of these visualisations attempt to combine a spatial and temporal approach to the data in the same visualisation. Almost none do it successfully. This lightning talk presents a web-based visualisation which attempts to do this, and a summary of the concepts and technical approaches used for its development. A FOSS and GIS-based approach to the data and software libraries used has been taken throughout. - R. Skujina, Stay home and innovate: redesigning an Earth Observation-fuelled accelerator supporting SMEs and start-ups: The PARSEC Accelerator, distributing €2.5 Million to SMEs and start-ups, enabled innovation from the safety of home as a response to the COVID-19. The PARSEC Accelerator, which will distribute €2.5 Million in equity-free funding for Earth Observation-based innovation, was one of the Copernicus-enabled business opportunities that Evenflow presented at the FOSS4G Bucharest in August 2019. After the successful start to 2020, with the PARSEC Open Call 1 attracting 348 SMEs and start-ups from 36 different countries and resulting in 100 competitive winners (#100PARSEC), the COVID-19 pandemic changed the rules of the game. The international team behind the accelerator committed to continue supporting innovation of SMEs, and therefore redesigned the first stage and the second Open Call of the accelerator. This enabled innovation to continue from the safety of home within the PARSEC ecosystem, and created a more open and borderless accelerator. - A. Cutts, awesome-earthobservation-code: Finding Earth Observation code is hard. awesome-earthobservation-code attempts to address this. It has over 270+ resources in one place. Earth Observation is one of the fastest growing areas of Geospatial today. Yet finding information about Earth Observation code (or even available commerical satellites) is harder than it should be. awesome-earthobservation-code attempts to address this. Built after a lunchtime scenefromabove discussion it currently has over 270+ resources in one place. I will set out some of the key information problems facing Earth Observation today and how awesome-earthobservation-code is a small step into building a bigger more vibrant community of collaborators. - S. Modekurty, OpenAQ: An open source platform to understand the world’s air quality: OpenAQ uses the power of open air quality data and open source tools to convene and empower communities around the world to fight air pollution. The OpenAQ platform aggregates real-time and historical geospatial air quality data from all over the world, and is entirely open source. It has over 500 million data points from 93 countries and serves 33 million API requests per month. The data have been used for a wide variety of applications, from air quality forecasts produced by NASA scientists to data-driven media reports by the general public. By providing this foundational data infrastructure, OpenAQ is able to convene people and organizations from across the globe to further raise awareness and develop innovative solutions to combat air pollution. The talk will give a technical overview of the platform, highlighting a new averaging tool being developed on top of the platform to get pollutant averages across various spatial and temporal resolutions.