HYBRID EVENT: You Can Participate In Person At Berlin, Germany Or Virtually From Your Home Or Work
ICPHPAI · Registering as Listener

International Conference on Public Health and Policy with Artificial Intelligence

12–13 Oct 2026 Berlin, Germany Standard / Physical Participation
Listener Registration
$155
virtual · $215 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  • If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.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 explores the integration of artificial intelligence in shaping effective public health policies. It aims to highlight innovative AI applications that enhance decision-making processes in health governance.
This session focuses on the application of machine learning algorithms in analyzing health data. Participants will discuss methodologies that improve predictive analytics in public health.
This track examines the role of intelligent systems in health informatics. It will cover advancements in AI frameworks that facilitate data management and patient care.
This session delves into the use of deep learning techniques in various healthcare applications. Researchers will present case studies demonstrating the effectiveness of deep learning in diagnostics and treatment.
This track addresses the impact of automation on public health operations and service delivery. Discussions will focus on how AI technologies streamline processes and improve efficiency.
This session highlights the role of predictive analytics in preventing disease outbreaks. Participants will explore AI models that forecast health trends and inform policy interventions.
This track investigates various AI frameworks designed to optimize health systems. It aims to identify best practices and strategies for implementing AI in healthcare settings.
This session addresses the ethical implications of deploying AI in public health. Discussions will focus on privacy, equity, and the responsible use of AI technologies.
This track showcases innovative strategies for integrating AI into existing healthcare frameworks. Participants will share insights on overcoming barriers to AI adoption in public health.
This session emphasizes the importance of data analytics in the formulation of health policies. Researchers will present findings on how data-driven approaches can enhance policy effectiveness.
This track promotes collaborative efforts between academia, industry, and government in advancing AI applications in public health. It aims to foster partnerships that drive innovation and improve health outcomes.