HYBRID EVENT: You Can Participate In Person At Vienna, Austria Or Virtually From Your Home Or Work
ICDAISA · Registering as Listener

International Conference on Data Analytics, Information Science, and AI

3–4 Nov 2026 Vienna, Austria Standard / Physical Participation
Listener Registration
$135
virtual · $195 in person
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Official invitation letterIssued automatically after registration
Certificate & digital materialsGet certificate, slides and resource materials
Supporting global researchConnect with researchers across 30+ countries

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1. Policy on Cancellations & Refunds :

  • A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
  • If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
  • Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
  • Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
  • Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
  • Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.

2. Participation & Registration Requirements :

  • To attend an ISIT event, participants must complete the registration process within the stipulated time.
  • The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
  • ISIT is not liable for any financial losses resulting from changes in event details.
  • Fees paid for registration are strictly non-refundable.
  • If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.

3. Submission & Publication Norms :

  • Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
  • Each submission is subject to a rigorous peer review before being accepted for presentation.
  • Only papers linked to a completed registration will be included in conference proceedings.
  • The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
  • If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
  • Once a paper is removed, it cannot be reintroduced into any ISIT publication.

4. Travel & Accommodation Responsibilities :

  • Attendees are responsible for making their own travel and lodging arrangements.
  • ISIT does not provide logistical assistance for travel or accommodation.
  • The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.

5. Visa & Invitation Letter Policy :

  • Attendees are responsible for making their own travel and lodging arrangements.
  • ISIT does not provide logistical assistance for travel or accommodation.
  • The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
  • ISIT does not engage directly with consulates or embassies on behalf of attendees.
  • Participants must handle their own visa applications and processes.
  • Important Information Regarding Invitation Letters:
    • The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
    • The letter assists in visa applications but does not guarantee visa approval.
    • ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
    • Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
    • Legal action may be pursued if the document is misused.
    • By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.

6. Registration Transfers :

  • Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
  • Transfer requests must be made via email to [email protected] with necessary details and supporting documents.
  • Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
  • Transferred registrations are not eligible for refunds.

7. General Considerations :

  • Any modifications or cancellations must be communicated in writing to [email protected].
  • Registration confirms acknowledgment and acceptance of these policies.
  • ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
  • Once registered, participants must submit a conference registration form within three days for confirmation.
  • Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.

8. Conference Programme and Participation Policy :

  • Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about

Session tracks covered across the event.
View all 11 tracks →
This track explores the integration of data analytics in social science research, emphasizing methodologies that enhance decision-making processes. Participants will discuss case studies and frameworks that leverage data to inform policy and practice in various social contexts.
This session focuses on the application of artificial intelligence techniques in the humanities, examining how AI can facilitate new insights and interpretations. Scholars will present innovative projects that utilize AI to analyze historical texts, art, and cultural artifacts.
This track highlights the use of machine learning algorithms in social research, showcasing their potential to uncover patterns and trends in complex datasets. Presentations will cover diverse applications, from survey analysis to social media data mining.
This session investigates the implications of big data on societal structures and individual behaviors, addressing both opportunities and challenges. Researchers will present findings on how big data analytics can shape public opinion, consumer behavior, and social interactions.
This track delves into the methodologies of knowledge discovery within social networks, focusing on techniques that extract meaningful insights from social media and online interactions. Participants will share research on network analysis, sentiment analysis, and community detection.
This session examines the role of predictive analytics in shaping social policy and governance, highlighting tools that forecast social trends and outcomes. Researchers will discuss ethical considerations and the effectiveness of predictive models in real-world applications.
This track focuses on computational techniques and their applications in information science, emphasizing algorithm development and data processing. Presenters will explore advancements in computational methods that enhance data retrieval, storage, and analysis.
This session addresses the ethical implications of using AI and data analytics in social research, focusing on issues of privacy, consent, and bias. Scholars will engage in discussions about best practices and frameworks for ethical research in the digital age.
This track promotes interdisciplinary collaboration in data science, encouraging participants to share insights from various fields such as sociology, psychology, and cultural studies. Presentations will highlight how diverse perspectives can enrich data analysis and interpretation.
This session explores the development and implementation of information systems designed to promote social change and community engagement. Researchers will present case studies demonstrating the impact of these systems on social initiatives and public awareness.
This track focuses on the latest trends in data visualization techniques tailored for social science research, emphasizing clarity and accessibility. Participants will discuss innovative visual tools that enhance the communication of complex data to diverse audiences.