Name of scholarship/program
TIGP-Social Networks and Human-Centered Computing Program (SNHCC)
About TIGP-Social Networks and Human-Centered Computing Program (SNHCC)
Eligibility and other criteria
Online Social Networks (OSNs), such as Facebook, Twitter and Foursquare, have become increasingly important in the last decade and are now an integral part of many peoples daily life. For Facebook, there are 1.18 billion daily active users with an increase of 17% year-over-year and 1.79 billion monthly active users with an increase of 16% year-over-year in 2016. Facebook users spend an average of 35 minutes a day according to SocialMediaToday. For Twitter, there are more than 317 million monthly active users in 2016, up 3% year-over-year, and there are 0.5 billion tweets per day. Also, social networks and human computation have brought new applications to natural language processing (NLP), mobile computing, multimedia, data mining and human-centered computing. For example, NLP and data mining in social networks enable researchers to understand the trend, sentiment, influence, and opinions of the users in social networks.
By considering the social comments, links, and interactions, the ranking and recommendations of multimedia contents become more precise and effective. Moreover, by examining the social relationship of users with mobile devices, researchers can exploit location-based and contextual information embedded with mobile social networks to create useful insights for community discovery, group mobility patterns and location-based viral marketing. Finally, human-centered computing can leverage social networks to build systems for problem-solving in distributed environments. The social and human factors in these areas indeed enable many new applications, and new challenges also arise due to the additional dimension necessary to be carefully examined. Therefore, it is envisaged that the direction of this program is crucial from the perspectives of the academia and industry.
TIGP SNHCC program hopes to attract domestic and foreign outstanding young students. In the scope of social networks and human-centered computing, this program gives priority to computer science and engineering, and takes social and behavioral sciences as subsidiary to provide students with the training across multiple fields. The curriculum contents will probe into various fields, including the natural language processing and information retrieval, data mining, multimedia, human-centered computing and human-computer interaction in computer science, and sociology, communication and psychology in society and behavioral sciences. This program hopes to attract doctoral students who are interested in related fields and provide research training for them.
In TIGP on Social Networks and Human-Centered Computing, the cooperative universities and institutes will support the required laboratory equipment and instrument for teaching and research. With equipment and various expertise of researchers from cooperative institutes, this program can provide young students with a good educational opportunity to cultivate their research interests in related areas. This TIGP will focus on theory and practice to provide students with a great theoretical basis and technical capacity of solving practical problems. The degree granted is Ph.D of Social Networks and Human-Centered Computing.
[Fellowship and Stipend]
TIGP provides fellowship support of NT$34,000 (about over US$1100) per month for all graduate students during the first year of their enrollment. The support will be extended for another two years upon evidence of satisfactory progress towards the degree. In subsequent years, the financial support will be provided by the students thesis advisor. The amount of the support will be at the discretion of the advisor.
Master's degree in computer science or other related areas, or equivalent qualification based on the regulation of the Ministry of Education of Taiwan. Unless the diplomas are issued in English by the institution, the official records in their original language must be submitted with an authorized, complete and exact English translation.
1. Bachelor's and Master's Degree
2. English Proficiency Test Score: TOEFL, IELTS or GEPT (for local applicants) scores
3. GRE Score (optional)
4. Undergraduate and Graduate Academic Transcripts
5. Three Letters of Recommendation
6. Statement of Purpose
7. Programming skills demonstrated by courses or projects completed
8. Supporting Documents (eg. publications, original papers)
* January 31, 2019
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