Dr. Sachit Mahajan
Researcher and Lecturer
Computational Social Science (COSS)
Department of Humanities, Social and Political Sciences (D-GESS)
ETH Zurich, Switzerland
About Me
My research interests are in Ubiquitous Computing and how it intersects with Environmental Sensing and Data Science. I'm interested in developing data-informed solutions to real-world societal problems that are economically and socially significant. My research focuses on some critical interfaces between technology, the environment, and society.
Currently, I am working at the Computational Social Science group at ETH Zurich. I'm investigating how the principles of self-organization and 'wisdom of crowds' can be used to promote environmental resilience and sustainability. Using field and lab experiments, I am attempting to understand how a value-sensitive design can be mapped onto environmental monitoring and IoT in order to promote collective intelligence and the interests of civil society.
Before coming to ETH Zurich, I was a Postdoctoral Research Associate at the University of Cambridge's Department of Sociology, where I worked with Prof. Jennifer Gabrys. Prior to that, I worked as a Research Fellow at the GCARE Lab at the University of Surrey.
I was awarded a Taiwan International Graduate Program Fellowship for my PhD (2015-2019). I conducted my research at the Network Research Lab at Academia Sinica's Institute of Information Science, under the supervision of Prof. Ling-Jyh Chen. I was enrolled in the Social Networks and Human Centered Computing Program
News!
Our Co-creation and IAQ work was featured in "Community science draws on the power of the crowd" in Nature.
May 10, 2022. Our paper titled "Participatory Resilience:Surviving, Recovering and Improving Together" has been accepted for publication in Sustainable Cities and Society.
November 21, 2021. The open-source citizen data analysis Vayu framework is now available on GitHub. The paper related to the toolbox has also been published in Sensors.
June 11, 2021. Our paper titled "AirKit: A Citizen-Sensing Toolkit for Monitoring Air Quality" has been accepted for publication in Sensors journal.
February 23, 2021. AirKit, a comprehensive toolkit for air-quality monitoring is finally out. The research was done at University of Cambridge in collaboration with Citizen Sense.
December 05, 2020. Our paper titled "From Do-It-Yourself (DIY) to Do-It-Together (DIT): Reflections on Designing a Citizen Driven Air Quality Monitoring Framework in Taiwan" has been accepted for publication in Sustainable Cities and Society journal.
November 26, 2020. Our paper titled "Water, water, but not everywhere: analysis of shrinking water bodies using open access satellite data" has been accepted for publication in the International Journal of Sustainable Development & World Ecology.
July 20, 2020. I will be serving on TPC for IEEE Globecom 2020 and IEEE Sensors 2020.
March 30, 2020. Research from our paper titled “A vector mosquitoes classification system based on edge computing and deep learning” got covered by Data Centre Dynamics, UK in their recent post “Gaining the Edge in the fight against bloodsuckers”.