Political mapping with big data: Indonesia’s presidential election 2019 case
Who is this presentation for?Non-technical or Business audience
Parties and candidates spend millions of dollars each election just to understand their constituents better. Until now, the development of the research or surveys for voting behavior always played catch-up, especially technologically, to the study of consumers’ decision-making process in the business world. It raises the question of how political practitioners, actors, parties, and candidates can make sure the money spent will give them significantly more votes.
Muhammad Asfar and Qorry Asfar discuss technological adoption in the political industry and how the adoption has helped provide better data management and more meaningful insight. They also highlight a case study of the 2019 presidential election in Indonesia and investigate how using big data in aggregate and complex political data efficiently cut analysis time in half, providing more meaningful analysis, and more importantly successfully increased the votes from 45% to 55%.
What you'll learn
- Discover the effect of using big data to understand voting behavior and the future direction of the technological adoption in politics
Pusat Demokrasi dan Hak Asasi Manusia
Qorry Asfar is a data analyst at Pusdeham Prodata Indonesia and has 2 years’ experience in voting behavior, political campaigns, and political advisory. She’s passionate to learn new ways to creatively use political data for better management and strategy. She occasionally attends big data conferences to gain insight of technological adoption that can be used in political data.
University of Airlangga
Muhammad Asfar is a PhD candidate at Airlangga University and political consultant at Pusdeham. He’s written more than 200 academic papers, magazines, or books related to politics. He’s fully aware that technology has shaped a new spectrum at the direction of how the politics is now and the future. Therefore, he’s passionately learning about big data and new technology adoption in politics to fill up the gap that voting behavior theories cannot yet explain.
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