HYBRID EVENT: You Can Participate In Person At Auckland, New Zealand Or Virtually From Your Home Or Work
ICBDAB · Registering as Listener

International Conference on Big Data Analytics in Bioinformatics

30–31 Mar 2027 Auckland, New Zealand Standard / Physical Participation
Listener Registration
$135
virtual · $195 in person
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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  • If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.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 focuses on the application of artificial intelligence techniques in genomics, emphasizing predictive modeling and data interpretation. Researchers are encouraged to present innovative methodologies that enhance genomic data analysis through machine learning.
This session explores the integration of data science methodologies in the field of proteomics. Contributions should highlight novel analytical frameworks that facilitate the understanding of protein interactions and functions.
This track examines the convergence of computational biology and systems biology, focusing on modeling biological systems through data-driven approaches. Presentations should showcase interdisciplinary research that leverages big data analytics for biological insights.
This session invites discussions on the role of predictive analytics in advancing biomedical research. Papers should illustrate how predictive models can inform clinical decisions and enhance patient outcomes.
This track emphasizes the importance of network biology in understanding complex biological systems, coupled with effective data visualization techniques. Researchers are encouraged to present case studies that demonstrate the impact of network analysis on biological discoveries.
This session focuses on the transformative role of machine learning in the drug discovery process. Contributions should detail innovative algorithms that improve the identification and optimization of potential drug candidates.
This track highlights the use of big data analytics in the identification and validation of biomarkers for various diseases. Submissions should explore novel analytical strategies that enhance biomarker discovery and clinical application.
This session addresses the ethical implications of employing artificial intelligence in bioinformatics research. Discussions should focus on data privacy, algorithmic bias, and the responsible use of AI in biomedical contexts.
This track investigates the integration of multi-omics data, including genomics, proteomics, and metabolomics, to provide a holistic view of biological systems. Presentations should highlight methodologies that effectively combine diverse data types for enhanced biological insights.
This session explores the application of real-time data analytics in healthcare settings, focusing on its potential to improve patient care and operational efficiency. Contributions should present case studies or frameworks that demonstrate the effectiveness of real-time analytics.
This track invites presentations on novel tools and platforms designed for efficient management and analysis of bioinformatics data. Researchers are encouraged to showcase advancements that facilitate data sharing, storage, and retrieval in bioinformatics.