Welcome to Social Signals, the podcast that bridges the gap between cutting-edge digital research and social science! Each episode dives deep into the world of data-driven methodologies, unpacking how social phenomena are analyzed and understood through the lens of digital tools and technologies. Whether you’re curious about how algorithms influence public opinion, want to explore the ethical implications of big data in social research, or wish to understand how digital ethnography reshapes cultural studies, Social Signals brings you insights and discussions with unique researchers.

Welcome to Social Signals, the podcast that bridges the gap between cutting-edge digital research and social science! Each episode dives deep into the world of data-driven methodologies, unpacking how social phenomena are analyzed and understood through the lens of digital tools and technologies. Whether you’re curious about how algorithms influence public opinion, want to explore the ethical implications of big data in social research, or wish to understand how digital ethnography reshapes cultural studies, Social Signals brings you insights and discussions with unique researchers.

Social Signals

This podcast presents a narrative of the research paper titled "Population Mobility and Air Quality During the COVID-19 Pandemic: A Case Study of DKI Jakarta"—available for download at ⁠ejournal2.undip.ac.id⁠. The study investigates how population mobility impacted air quality in Jakarta, Indonesia, during the COVID-19 pandemic. Using the Driver–Pressure–State–Impact–Response (DPSIR) framework, the research analyzes data from the Google Mobility Index, TomTom Traffic Index, and Twitter to explore the relationship between mobility changes and air pollution levels.

Ilmu Sosial

This podcast presents a narrative of the research paper titled "Population Mobility and Air Quality During the COVID-19 Pandemic: A Case Study of DKI Jakarta"—available for download at <a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://ejournal2.undip.ac.id/index.php/jwl/article/view/17841">⁠</a><a target="_blank" rel="noopener noreferrer nofollow" href="http://ejournal2.undip.ac.id">ejournal2.undip.ac.id</a><a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://ejournal2.undip.ac.id/index.php/jwl/article/view/17841">⁠</a>. The study investigates how population mobility impacted air quality in Jakarta, Indonesia, during the COVID-19 pandemic. Using the Driver–Pressure–State–Impact–Response (DPSIR) framework, the research analyzes data from the Google Mobility Index, TomTom Traffic Index, and Twitter to explore the relationship between mobility changes and air pollution levels.

Jakarta’s Air Quality and COVID-19: The Mobility Effect

Kreator