The 1st Symposium on Research Methodologies in a Big Data Era (SRMBD 2016) was successfully hosted by KSEA Central Pennsylvania Chapter on May 13 – May 15, 2016 in State College, PA, USA. This symposium aimed at providing 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 were (big) data analytics, computational methods, and experiment design associated with advanced technologies.
The symposium successfully attracted high qualified researchers and professionals from various fields of disciplines with more than 40 participants, including eight out-of-town participants from the United States and one international participant. It was attended by a well-balanced audience by senior, junior, and student participants of both non-Korean and Korean descent. The symposium consisted of keynote speeches, tutorials, paper presentation sessions, a poster session, a career development session, a reception, and a banquet as follows.
Three invited speakers gave a keynote speech at the symposium; the first keynote speaker, Dr. Hyokun Yun, currently working at Amazon.com, USA, gave a talk on representation learning; the second keynote speaker, Dr. Dashun Wang, assistant professor of Information Science and Technology at Penn State University (as of now, associate professor of Management and Organizations at the Kellogg School of Management, Northwestern University), made a presentation on understanding success in science and technology; the last keynote speaker, Dr. Ephraim Hanks, assistant professor of Statistics at Penn State University, gave a talk on computationally-efficient models for Ecology.
Two tutorials were given, respectively, on 1) representation learning using genetic algorithm in finding optimal solutions and 2) how to use Blender for 3D physics simulation. In the career development session, Dr. Hyokun Yun, the first keynote speaker, shared hands-on tips on how to build professional careers and enhance our social life at work, based on his experiences in both academia and industry.
In three paper presentation sessions, 10 speakers presented their cutting-edge research, and four posters were exhibited in the poster session. In the competition, two graduate students, Sterling Quinn from Penn State University (1st place) and Yu-li Ko from Rensselaer Polytechnic Institute (2nd place) won the best student paper presentation awards.
The reception and banquet promoted participants to mingle with one another. During the symposium, every meal was provided to all participants with the generous support of all the sponsors. This symposium was co-organized and co-sponsored by KSEA Central PA Chapter, KSEA Central PA YG Chapter, Penn State UPAC, KUSCO, KSEA, and Professional Education Team for Space-Time Big Data, Kyung Hee University, South Korea. We hope that we can continue this symposium in the following years.
국문 요약 [Abstract in Korean]
재미한인과학기술자협회(KSEA)의 중부 펜실베니아지부(심포지엄 공동의장 김은경, 류정우) 주최의 제1회 빅데이터 시대의 연구방법론에 관한 심포지엄이 지난 5월 13, 14, 15일 사흘간 미국 펜실베니아주립대학교 지리학과 및 정보과학대에서 ‘최신 기술을 활용한 (빅) 데이터 분석법, 계산 방법, 실험 설계 방법’이라는 주제로 개최되었습니다. 40명이 넘는 사회과학, 자연과학, 공학 분야의 저명한 학자 및 청년 연구원, 학생들이 참여하여 연구방법론의 현황과 향후 발전방향에 대해 범학제적인 논의를 하고, 학술 교류를 했습니다. 이 심포지엄은 펜실베니아주립대 학생활동자금 위원회(Penn State UPAC), 한미과학협력센터(KUSCO), 재미한인과학기술자협회(KSEA), 경희대학교 시공간 빅 데이터 융합 전문가 양성 사업단의 지원을 받아 진행되었습니다.