Conference Information

ASSCS 2020: International Conference on Applied Social Science and Computational Science

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Submission Date:
2020-08-10 Extended
Notification Date:
Conference Date:
2020-09-20
Location:
Shanghai, China
Viewed: 21666   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,083 of 5,650 conferences · Top 73%

#38 of 71 in Management & Social Sciences #271 of 340 in Systems & Architecture

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%) No data - scored at the neutral baseline of 50
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

ASSCS 2020 (International Conference on Applied Social Science and Computational Science) is an academic conference held in Shanghai, China on 2020-09-20. The paper submission deadline is 2020-08-10 (extended).

ASSCS2020 aims to bring together researchers and scientists from academia, industry, and government laboratories to present new results and identify future research directions in Applied Social Science and Computational Science. Papers on either completed or ongoing research are invited in the following and related tracks: Network analysis of social systems Large-scale social experiments Agent-based or other simulations of social phenomena Text analysis and natural language processing (NLP) of social phenomena Cultural patterns and dynamics Computational science studies (sociology of science) Social news curation and collaborative filtering Social media studies Theoretical discussions in computational social science Causal inference and computational methods for social science Ethics in computational social sciences Reproducibility in computational social science Large scale infrastructure in computational social science Novel digital data sources Computational analyses for addressing societal challenges Methods and analyses of observational social data Computational social science research in industry
Last updated by Dou Sun on

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