Intensive farming can have significant implications on air pollution and public health. With [Stefania Renna](https://www.eiee.org/member/stefania-renna/), Jacopo Lunghi, Maurizio Malpede, Damiano Di Simine.
Agriculture can be a major source of secondary inorganic particulate matter (PM). Where this is the case, even substantially large reduction in precursor emissions may not deliver large drops in secondary inorganic PM. With [Stefania Renna](https://www.eiee.org/member/stefania-renna/) and [Lara Aleluia Reis](https://laleluia.github.io/page/).
The Country Level Air Quality Calculator (CLAQC) is an open-source modeling tool that utilizes national sectoral emissions and weather data to forecast monthly and annual concentrations PM2.5 and O3 using machine learning. With [Stefania Renna](https://www.eiee.org/member/stefania-renna/), [Lara Aleluia Reis](https://laleluia.github.io/page/) and Paulina Estela Schulz-Antipa.
What can a lockdown tell us about air pollution? We use machine learning to causally identify the drop in PM 2.5 and NO2 in Northern Italy during the first COVID-19 lockdown, and learn about emission patterns. With [Lara Aleluis Reis](https://laleluia.github.io/page/), [Valentina Bosetti](https://faculty.unibocconi.eu/valentinabosetti/), and [Massimo Tavoni](https://sites.google.com/site/massimotavoni/).
What can a lockdown tell us about air pollution? We use machine learning to causally identify the drop in PM 2.5 and NO2 in Northern Italy during the first COVID-19 lockdown, and learn about emission patterns. With Lara Aleluis Reis, Valentina Bosetti, and Massimo Tavoni.
Although a large share of the world’s population is employed in manual labor, our understanding of the productivity costs of air pollution for physically intensive work remains limited.