International Conference on Big Data and Digital Humanities Research

ICBDDHR

28th Apr – 29th Apr 2027 Hangzhou, China

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

Select Registration Mode

Standard / Physical Participation USD

Join us on-site for keynotes, talks, workshops, networking, conference kit and certificate.

Virtual Participation USD

Participate online via live streaming. Includes live access to all sessions, digital materials and certificate.

Participant Details

Full Name *

Email Address *

Mobile Number with Country Code *

City *

State *

Country *

Zip / Postal Code *

Address *

Coupon Code

Terms & Condition

I agree to the Terms & Conditions and Refund & Cancellation Policy.

Read the full Terms & Conditions

Registration Summary

Conference ICBDDHR

Date 28th Apr – 29th Apr 2027

Location Hangzhou, China

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

100% Secure Payment

Your payment information is encrypted and processed securely.

Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Innovations in Data Mining Techniques +

This track focuses on the latest advancements in data mining methodologies applicable to social sciences and humanities. Researchers are invited to present novel algorithms and frameworks that enhance data extraction and analysis.

SDG 4 SDG 9

02 Natural Language Processing in Humanities Research +

This session explores the application of natural language processing tools in analyzing textual data from humanities disciplines. Contributions may include case studies, theoretical frameworks, and practical implementations.

SDG 4 SDG 16

03 Machine Learning Applications in Social Sciences +

This track examines the integration of machine learning techniques in social science research. Papers should highlight innovative applications that address complex social phenomena through data-driven insights.

SDG 1 SDG 10

04 Big Data Analytics in Digital Humanities +

This session invites discussions on the role of big data analytics in transforming digital humanities research. Participants will explore case studies that demonstrate the impact of large-scale data analysis on cultural and historical studies.

SDG 4 SDG 11

05 Pattern Recognition in Social Networks +

This track delves into the methodologies of pattern recognition within social network data. Researchers are encouraged to present findings that reveal underlying structures and behaviors in social interactions.

SDG 10 SDG 16

06 Computational Methods for Humanities Research +

This session focuses on the development and application of computational methods tailored for humanities research. Contributions may include algorithmic approaches, software tools, and interdisciplinary collaborations.

SDG 4 SDG 16

07 Data Visualization Techniques for Social Sciences +

This track emphasizes the importance of data visualization in conveying complex information in social sciences. Presentations should demonstrate innovative visualization techniques that enhance understanding and interpretation of data.

SDG 4 SDG 9

08 Ethics and Challenges in Data Science +

This session addresses the ethical considerations and challenges faced in data science applications within social sciences and humanities. Discussions will focus on data privacy, bias, and the implications of algorithmic decision-making.

SDG 16

09 Network Analysis in Cultural Studies +

This track explores the application of network analysis techniques in cultural studies and humanities research. Papers should present findings that illustrate the interconnectedness of cultural artifacts and social dynamics.

SDG 4 SDG 16

10 Interdisciplinary Approaches to Data Science +

This session encourages interdisciplinary collaborations that leverage data science methodologies across various fields. Researchers are invited to share insights on how diverse disciplines can inform and enhance data-driven research.

SDG 17

11 Future Directions in Data-Driven Humanities +

This track looks forward to emerging trends and future directions in data-driven research within the humanities. Participants are encouraged to speculate on the evolving role of technology and data in shaping humanistic inquiry.

SDG 4 SDG 9