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Hybrid Event

13th - 14th June 2026 | Tokyo, Japan

International Conference on Credit Risk Modeling and Data Analytics (ICCRMDA - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICCRMDA) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Accounting,Data Analytics,Finance, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Credit risk modeling techniques and applications
02
Data analytics for credit scoring models
03
Impact of machine learning on credit risk
04
Predictive analytics in loan underwriting
05
Case studies in credit risk assessment
06
Ethics in credit risk modeling
07
Data visualization in credit risk analysis
08
Challenges in credit risk management
09
Integrating big data in credit risk models
10
Future trends in credit risk analytics
11
Role of technology in credit assessment
12
Credit risk and regulatory compliance
13
Behavioral insights in credit risk modeling
14
Impact of economic factors on credit risk
15
Data-driven strategies for credit risk mitigation
16
Credit risk modeling for SMEs
17
Innovations in credit risk analytics
18
Impact of AI on credit risk management
19
Data security in credit risk systems
20
Credit risk assessment in emerging markets

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.