Pre-Enrollment

7th September 2026

Final Paper Submission

12th September 2026

Registration Deadline

22nd September`2026

Conference Date

7th Oct - 8th Oct 2026

Call for Papers

The International Conference on Social Work, Education, Machine Learning, Technology, and Economic Development invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Philosophy,Sociology,Social Work,Entrepreneurship,Economics,Business,Artificial Intelligence,Data Science,Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Social Work And Health Interventions
02
Education Strategies For Economic Development
03
Machine Learning Applications In Social Work
04
Technology's Role In Economic Growth
05
Innovative Approaches To Social Work Practice
06
Impact Of Education On Community Health
07
Economic Development And Social Justice
08
Machine Learning For Health Outcomes
09
Interdisciplinary Approaches To Social Work
10
Role Of Technology In Education
11
Social Work And Public Health Policies
12
Community Development Through Education
13
Economic Impacts Of Social Work Programs
14
Innovations In Social Work Education
15
Technology And Social Work Ethics
16
Social Determinants Of Health And Education
17
Future Of Social Work In Health
18
Machine Learning For Economic Analysis
19
Education And Workforce Development Strategies
20
Social Work Responses To Health Crises
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review