조회 수 : 1827
2016.03.24 (13:45:58)

안녕하세요, KSEA Central PA Chapter에서 <빅데이터 시대의 연구방법론>이라는 주제로 한미 연합 심포지엄을 개최합니다. 5월 13-15일에 State College에 계시는 분들께 많은 참여를 부탁드립니다. 


논문, 포스터 발표 세션 이외에도 아마존에서 근무하고 계시는 머신러닝 연구자분을 초청하여 커리어 개발 세션도 열고, 데이터 분석, 실험 설계, 계산 과학/공학 등 다양한 분야의 연구자 분들이 참여하시니, 참석하셔서 네트워킹도 하시고 새로운 연구동향도 알아보는 기회로 삼으시기 바랍니다. 특히, 학생분들을 위해 Best Student Poster Award, Best Student Paper Presentation Award도 진행합니다. 여러분의 이력에 도움이 될거라고 생각합니다.


SRMBD 2016 Committee 드림



Call for Participation

The 1st Symposium on Research Methodologies in the Big Data Era (SRMBD 2016)

State College, PA, USA, May 13 – May 15, 2016.

https://sites.psu.edu/srmbd/
E-mail: srmbd2016@gmail.com

Important Dates:

Abstract Submission Due: April 1, 2016
Acceptance Notification: April 10, 2016
Registration Due: April 15, 2016 (out-of-town participants) / April 30, 2016 (local participants)

SRMBD 2016 organizing committee cordially invites you to participate in the 1st Symposium on Research Methodologies in the Big Data Era (SRMBD 2016), to be held on May 13 – May 15, 2016 in State College, PA, USA.

Research methodologies in both hard and soft sciences have co-evolved with the development of technologies. Recent advances in technologies including Big Data, Cyber Science, Internet of Things (IoT), immersive Virtual Reality, and Unmanned Vehicles have been not only impacting our everyday life but also changing research methodologies in academic communities. Prompted by the nature of new technologies, emerging research methodologies from different disciplines tend to share common characteristics in the process of designing experiments, collecting data, processing/analyzing data, and interpreting results.

The main objective of SRMBD 2016, an international symposium, is to provide a forum for transdisciplinary discussions on current status and future directions of research methodologies in various disciplines of social and natural sciences and engineering. Focused themes of SRMBD 2016 are (big) data analytics, computational methods, and experiment design associated with advanced technologies. There are three options of presentation: 15-min oral presentation, 5-min lightning talk, and poster presentation.

Topics of interest include but are not limited to:

  • (Big) Data analytics in research
    • New data sources and innovative data collection methods
    • Data storage/retrieval and data quality management
    • Machine learning and data mining techniques
    • Statistical methods for data analysis
    • Data visualization and communication methods
  • Computational methods in research
    • Cloud computing techniques
    • High performance computing techniques
    • Algorithms and programming techniques for (big) data processing/analysis
    • Simulation and modeling using (big) empirical data
  • Experiment design in research
    • Statistical methods for experiment design
    • Experiments with advanced measuring devices
    • Experiments in immersive virtual reality/augmented reality environments
    • Experiments using user-generated content
    • Crowdsourcing experiments

Abstract Submission:

Authors are invited to submit abstracts of their original research papers. Abstract should be submitted through Submission Form. In the submission form, you can either fill out the submission form or upload postscript or pdf format of a word document provided here for abstract submission.  Abstracts should be no more than 300 words. All submitted abstracts will be reviewed by the organizing committee. At least one author of each accepted abstract is required to register for the symposium and give a presentation.

Student Awards:

One Best Student Paper Presentation award and one Best Student Poster award will be granted at SRMBD 2016. To be considered as potential awardees, the first author should declare the intention of participating in Student Paper Presentation/Poster Competition. The first author of the best student paper presentation and the best student poster must be a full-time student.

Program:

The program of SRMBD 2016 will consist of 1) keynote speeches, 2) oral presentation sessions with focused themes on (big) data analytics, computational methods, and experiment design, respectively, 3) a poster session, 4) tutorial sessions, 5) a career development session, and 6) networking events. More detailed information will be announced on https://sites.psu.edu/srmbd/.

Symposium Organizers:

Eun-Kyeong Kim, General Co-Chair & Program Co-Chair
Jungwoo Ryoo, General Co-Chair
Sang Jin Kweon, Program Co-Chair
Ghanghoon Paik, Finance Chair

Danielle Jin-Kwang Kim, Poster Chair
Keunhyoung Park, Tutorial Chair

Symposium Organizing Associations:

Korean-American Scientists and Engineers Association (KSEA) Central Pennsylvania Chapter,http://sites.psu.edu/ksea/
Korean-American Scientists and Engineers Association (KSEA) Central Pennsylvania Young Generation (YG) Chapter, http://sites.psu.edu/ksea-yg/
The Korea-US Science Cooperation Center (KUSCO), http://www.kusco.org/

For more information, please contact us by email, srmbd2016@gmail.com.

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