• Source: Cha Meeyoung

Cha Meeyoung (Korean: 차미영; born July 28, 1979), sometimes known as Mia, is an associate professor at KAIST in the School of Computing and a chief investigator in the Pioneer Research Center for Mathematical and Computational Sciences at the Institute for Basic Science. Her research focuses on network and data science with an emphasis on modeling, analyzing complex information propagation processes, machine learning-based computational social science, and deep learning. In June 2024, she will become the scientific director of the Max Planck Institute for Security and Privacy. She has served on the editorial boards of the journals PeerJ and ACM Transactions on Social Computing.




Early life and education


Mia was born in Daejeon, South Korea. She had a "boring" childhood in Chuncheon City, Gangwon Province where she often spent time alone in her thoughts. Growing up, she often would play with the novelist O Jeonghui's daughter as they were the same age and lived in the same apartment complex.
She went to Bongeui Middle School (ko) and then was one of the only female students attending Kangwon Science High School at that time. The entirety of Meeyoung's higher education has taken place at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea. She initially desired to major in astroypyhsics, as she grew up loving stars and was influenced by her physicist father, but KAIST had no degree in astroypyhsics. Majoring in computer science, she graduated magna cum laude for her B.S. Within the Graduate School for Culture Technology at KAIST, the adviser for her M.S. was Kim Taewhan, and her Ph.D. was supervised by Sue Moon.




Career


In 2008, Meeyoung worked as a postdoc in Max Planck Institute for Software Systems under adviser Krishna Gummadi. Leaving Max Planck, she returned to her alma mater and became an assistant professor in the Graduate School of Culture Technology later becoming an associate professor joint faculty member in the School of Computing. Outside of KAIST, she worked as a scientific and technical consultant for both SK Telecom and the Korea Internet Self-Governance Organization in 2010 and 2014, respectively.
In 2015, Meeyoung went to Menlo Park to work as a visiting professor with Facebook's Data Science Team hosted by Lada Adamic. In 2019, she and Oum Sang-il were the founding chief investigators of the Pioneer Research Center for Mathematical and Computational Sciences at the Institute for Basic Science (IBS). This and the Pioneer Research Center for Biomolecular and Cellular Structure are the first of two such centers at IBS. Headed by Meeyoung, the Data Science Group researches fake news, perception biases in relation to AI, deep learning of heterogeneous data for modeling human behavior, and prediction efforts through language processing and image analysis. Seeing the infodemic on COVID-19 information starting in China and spreading to Korea and the US, the Data Science Group and researchers from Ewha Womans University, started the multilingual Facts Before Rumors campaign to separate common claims seen online.
She has been named BACUDA science collaborator of the World Customs Organization, is a member of the Seoul Forum for International Affairs, and a commissioner for the Presidential Council on Intellectual Property, Open Data Mediation Committee, National Tax Service, Korea Customs Service, and Korea Copyright Commission.
In June 2024, she relocated to the Max Planck Institute for Security and Privacy in Bochum, Germany, to become a scientific director at the Max Planck Society heading the Data Science for Humanity research group. She is the first South Korea director and second Asian female scientist to hold such a position at Max Planck.




Awards and honors


2024: Hong Jin-Ki Creator Award
2022: Test of Time Award, Association for Computing Machinery (ACM) SIGCOMM
2022: Commendation, 55th Science Day, Ministry of Science and ICT
2020: Test of Time Award, International Conference on Web and Social Media
2019: Young Information Scientist Award, Korean Institute of Information Scientists and Engineers (ko)
2016: Lifetime member, Korean Institute of Information Scientists and Engineers
2012: Best Paper, International AAAI Conference on Web and Social Media
2009: Best Data Workshop Paper, 3rd Int'l AAAI Conference on Weblogs and Social Media
2007: Best Paper, ACM Internet Measurement Conference




Editorial boards


2016–present PeerJ
2016–present ACM Transactions on Social Computing




Selected publications


Cha, Meeyoung; Haddadi, Hamed; Benevenuto, Fabr´ıcio; Gummadi, Krishna P. (2010). "Measuring User Influence in Twitter: The Million Follower Fallacy". Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media. Association for the Advancement of Artificial Intelligence. pp. 10–17. OCLC 780600252. Archived from the original on 4 February 2020. Retrieved 20 January 2020.
Cha, Meeoung; Kwak, Haewoon; Rodriguez, Rodriguez; Ahn, Yong-Yeol; Moon, Sue (24 October 2007). "I Tube, You Tube, Everybody Tubes: Analyzing the World's Largest User Generated Content Video System" (PDF). Proceedings of the 7th ACM SIGCOMM conference on Internet measurement. 7th ACM SIGCOMM conference on Internet measurement.
Viswanath, Bimal; Mislove, Alan; Cha, Meeyoung; Gummadi, Krishna P. "On the Evolution of User Interaction in Facebook" (PDF). Proceedings of the 2nd ACM workshop on Online social networks. 2nd ACM workshop on Online social networks. ACM. pp. 37–42. Archived from the original (PDF) on 18 September 2017.
Benevenuto, Fabrício; Rodrigues, Tiago; Cha, Meeyoung; Almeida, Virgílio (4 November 2009). "Characterizing User Behavior in Online Social Networks" (PDF). Proceedings of the 9th ACM SIGCOMM conference on Internet measurement. 9th ACM SIGCOMM conference on Internet measurement. ACM. pp. 49–62. Retrieved 20 January 2020.




See also


Hamed Haddadi
Pablo Rodriguez
Xing Xie




References






External links


PRC for Mathematical and Computational Sciences - Data Science Group
Cha Meeyoung publications indexed by Google Scholar
KAIST Data Science Lab Archived 2020-01-22 at the Wayback Machine
Facts before Rumors
Spectrogram-UMAP-based temporal-link embedding (SUBTLE)

Kata Kunci Pencarian:

• Cha Meeyoung
• Influencer marketing
• Max Planck Institute for Security and Privacy
• Cross-cultural studies
• User-generated content
• Emotion recognition
• Hamed Haddadi (computer scientist)
• COVID-19 pandemic in South Korea
• Hong Jin-Ki Creator Award
• National responses to the COVID-19 pandemic