Data-driven policy making for sustainable cities

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In this event, we will discuss the how machine learning can be used in policy making to create sustainable cities.

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In this event, we will discuss the how machine learning can be used in policy making to create sustainable cities. The speakers will also share the concept of data-driven policy making in urban areas.

Speakers:

Nikola Milojevic-Dupont (Researcher, Mercator Research Institute for Global Commons and Climate Change (MCC))

Nikola Milojevic-Dupont is a researcher under the supervision of Prof. Dr. Creutzig in the MCC working group Land Use, Infrastructure and Transport, and at the Technische Universität Berlin. His research focuses on developing machine learning applications for climate change mitigation, with a particular focus on demand-side solutions in cities arising from buildings and transportation systems. He is also a founding, core team member of Climate Change AI (CCAI), an organization of volunteers aiming to facilitate impactful work at the intersection between machine learning and climate change.

Previously, he was a guest researcher at the Potsdam Institute for Climate Impact Research, where he wrote his master’s thesis under the supervision of Dr. Nico Bauer on the mitigation potential of bioenergy in Integrated and Life Cycle Assessment Models. He holds a MSc in environmental and energy economics from a consortium of universities in Paris led by AgroParisTech, with a major in Integrated Assessment Modelling led by CIRED. Before, he studied economics at the University of Paris La Sorbonne.

Pia Faustino (Director for Social Impact and Special Projects, Thinking Machines)

Pia Faustino is Director for Social Impact and Special Projects at Thinking Machines. After leaving a media career to join the company as one of its first hires in 2015, she developed Thinking Machines' data insights practice into a significant line of business, with global clients in various sectors including finance, food & beverage, wellness, education, and international development. She has led numerous data warehousing, analysis, visualization, and data capacity-building projects from pitch to delivery, and built team-wide expertise in various tools including Tableau, Microsoft PowerBI, Google Cloud Platform. In her current role, she leads the company's mission to use technology for social good, working with government and nonprofit partners to apply data science to challenges in public health, humanitarian response, and sustainable development.

The event is funded by the Royal Academy of Engineering's under Frontiers Champion award.

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