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김재완 교수

Jaewan Kim

연세대학교 융합인문사회과학부 · 심리학

연구실 소개

김재완 교수의 연구실은 환경보건, 기후변화 대비 정책, 그리고 공공보건 정책 분야에서 다학제적 접근을 통해 실질적인 사회적 영향을 고려한 연구를 수행하고 있습니다. 특히 대기오염, 기후위험 평가, 기후 적응 정책 수립 등에 초점을 맞추며, 정책 결정에 기초가 되는 실증적 데이터 기반 분석을 강조합니다. 또한, 공공보건 이슈에 대한 시민의 기대비용(위임가치) 분석을 통해 사회적 수용성과 정책 효과성을 동시에 고려한 연구를 진행하고 있습니다. 최근에는 기후변화 대비 정책의 경제적 영향과 탄소배출 감축 경로에 대한 글로벌 협력 시나리오 분석도 포함하고 있습니다.

기후위험 평가대기오염기후 적응 정책탄소배출 감축위임가치 분석

연구 현황

논문 수
6
총 인용 수
142
최근 5년 논문
5
주요 분야
심리학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
5총합
2017
2019
2020
2022
2023
5개년 연도별 피인용 수
13총합
20172019202020222023

주요 논문

6
1
논문|인용수 129·2003
Anterior cingulotomy for refractory obsessive–compulsive disorder
Chang‐Hoon Kim, Jin Woo Chang, M. Koo, J. W. Kim, Ho-Suk Suh, I. H. Park, H. S. Lee
SJR Q1Acta Psychiatrica ScandinavicaOA

OBJECTIVE: This study was designed to prospectively investigate the efficacy and cognitive adverse effects of stereotactic bilateral anterior cingulotomy as a treatment for refractory obsessive-compulsive (OCD) patients for 12 months. METHOD: Patients were eligible if they had severe OCD and rigorous treatments had been unsuccessful. Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), Clinical Global Impression (CGI) and neuropsychological tests were used to assess the efficacy and cognitive changes

Clinical PsychologyPsychology
2
논문|인용수 13·2022
Why Have the Republic of Korea, Taiwan, and Singapore Coped Well with COVID-19 and What Are the Lessons Learned from Their Experiences?
김재완, 문종우, 정태용, 김우진, 유혜림
https://www.eymj.org/DOIx.php?id=10.3349/ymj.2022.63.3.296

This study investigated how three Asian countries–Republic of Korea (ROK), Republic of China (Taiwan), and Singapore–consideredas standouts, responded to the coronavirus disease 2019 (COVID-19) in terms of governance system, health sector innovation,and social distancing to draw lessons that other countries can learn from. The countries were commonly in success of the responsein early stage of the pandemic thanks to their effective and efficient strategies paired with advanced information andcom

3
논문|인용수 0·2020
기후변화 불확실성을 고려한 226개 기초지자체 유형화 연구
김재완, 정태용, 박찬, 문종우, 강다현

This study aims to classify 226 local entities in Korea according to the type of climate vulnerability to provide appropriate climate adaptation policies that consider local characteristics. Using climate impact as the y-axis and adaptive capacity as the x-axis, we can create four types of vulnerability and plot 226 local entities on a quadrant. Unlike previous studies in this field, we consider the concept of uncertainty while calculating the exposure index, which is a climate impact component,

4
논문|인용수 0·2019
Analysis on Socio-cultural Aspect of Willingness to Pay for Air Quality (PM10, PM2.5) Improvement in Seoul
김재완, 정태용, 이태동, 이동근
환경영향평가

Over the last few years, air pollution (PM10, PM2.5) in the Seoul metropolitan area (SMA) has emerged as one ofthe most concerned and threatening environmental issues among the residents. It brings about various harmful effects on human health, as well as ecosystem and industrial activities. Governments and individuals pay various costs to mitigate the level of air pollutants. This study aims to empirically find the willingness to pays (WTP) among the parents from different socio-cultural groups

5
논문|인용수 0·2023
Evaluating the economic impacts of Korea's NDC (nationally determined contributions) implementation via carbon pricing : A global multiregional computable general equilibrium analysis
김용건, 문종우, 김재완

In April 2023, the Korean government announced its national emission pathways to achieve its 2030 NDC target of reducing GHG emissions by 40% compared to the 2018-level. The study provides an overview of the economic impacts of achieving the NDC target on the Korean economy, and particularly, it considers the different circumstances of the global mitigation efforts. The study collects the countries’ NDC target information, applies a global dynamic recursive CGE model with GTAP 11 database, and e

6
논문|인용수 0·2017
다중 해시함수 기반 데이터 스트림에서의 아이템 의사 주기 탐사 기법
이학주, 김재완, 이원석
한국IT서비스학회지

Recently in-memory data stream processing has been actively applied to various subjects such as query processing, OLAP, data mining, i.e., frequent item sets, association rules, clustering. However, finding regular periodic patterns of events in an infinite data stream gets less attention. Most researches about finding periods use autocorrelation functions to find certain changes in periodic patterns, not period itself. And they usually find periodic patterns in time-series databases, not in dat

대표 연구 분야

Clinical Psychology

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