Education Friday - NEW

ESCMID Global is extending the programme with a full day dedicated solely to education. Featuring 6 separate tracks with a total of 30 sessions, there is something here for everyone. In addition to the planned sessions within the halls, there are also a suite of special sessions designed for small group work and enhancing practical knowledge. The machine learning workshop is also returning backed by popular demand. This day long programme gives a deep dive into machine learning solutions and data science and is suitable for beginners in this field. Explore the details of the first edition of the expanded ESCMID Global below. 

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Special Sessions

Alongside the usual session types there are a number of special sessions that will be incorporated in Education Friday. These are highly interactive small-group activities with defined learning objectives. Participants are able to work closely with ESCMID experts and interact directly with them gaining first-hand practical knowledge. Due to the small group organisation of the sessions, participants will be asked to choose which sessions to join from a dropdown menu as part of the registration for Education Friday.

Special Sessions at Education Friday 2025

This workshop focuses on antimicrobial stewardship (AMS) in various clinical scenarios, emphasising real-world application in complex and real-life cases. The format includes a brief lecture on stewardship principles followed by interactive role-play case discussions in the style of an Objective Structured Clinical Examination (OSCE). Participants will work through six different stations with different clinical scenarios where they will have to review the clinical case and plan an AMS intervention. This practical approach aims to bridge the gap between theoretical knowledge and real-world application, enhancing decision-making skills under pressure.

Learning objectives: enhance practical skills in AMS through hands-on case discussions, improve clinical decision-making under pressure, foster interdisciplinary collaboration and communication in managing complex infections and promote adherence to guidelines in diverse clinical scenarios.

Maximum number of participants: 48

This workshop focuses on practices in infection prevention and control that are based on tradition and not necessarily scientific evidence. Top experts in the field will discuss the most common misconceptions in infection prevention and control. The participants will be divided in three small groups to ensure a close interaction with three ESCMID experts, to ensure a personalised approach for each participant.

Learning objectives: identify procedures in infection prevention and control that are misleading and should be avoided in routine practice.

 Maximum number of participants: 27

This session will allow professionals planning to or currently developing a systematic review to discuss theoretical and practical problems with ESCMID experts on systematic review methodology. The participants will be divided into small groups with an ESCMID expert on systematic reviews available for each to discuss the many theoretical and practical problems facing systematic reviewers.

Learning objectives: review the basic concepts for the methodological steps in a systematic review, solve the most common problems encountered when doing practice the basic skills on how to assess quality of a SR (with or without meta-analysis) and appropriately interpret results.

 Maximum number of participants: 36

This session will equip attendees with the essential tools for delivering effective scientific presentations and communicating research clearly and compellingly. Attendees will learn how to transform their research findings into captivating stories accessible to all, hearing tips on what to do and what not to do from the experts. Participants will be divided into small groups and collaborate closely with experienced ESCMID slammers. The slammer and participants will brainstorm the scientific message to be conveyed and devise a fun, creative way to present it.

Learning objectives: improve scientific communication by summarising a complex topic without oversimplifying it with creativity and interactivity, develop presentation skills by enhancing public speaking and body language abilities and bring awareness of the importance of being able to communicate science to different audiences.

Maximum number of participants: 54

This session gives participants a chance to actively interact with key opinion leaders to make significant decisions regarding sepsis management. In this clinical simulation, participants will be split into small groups to answer questions, make prognoses and manage various sepsis cases. The small group approach allows for high level of interactivity and gives each participant the chance to voice their approach towards the subject.

Learning objectives: learn about precise and timely sepsis management, identify the need of interdisciplinary work in the emergency room, incorporate data and take decisions, get familiar with new ESCMID ABS guidelines in the emergency department and implement them in local hospitals and emergency departments.

Maximum number of participants: 40

Machine learning workshop

ESCMID Global will once again host the machine learning side event "Using data science and machine learning for infection science: A hands on introduction” providing 65 attendees with the confidence to explore machine learning in their own contexts, in addition to resources for further exploration and use. Participants can expect to develop a fundamental understanding of machine learning and data science as well as the “end-to-end” lifecycle of a machine learning solution. This is accomplished through a hands-on practical experience where attendees develop their own machine learning workflow and models for tabular datasets with no-code tools. No prior background in data science and machine learning is assumed and the workshop is suitable for beginners. More details will be provided to participants eight, four, and two weeks before the workshop.

Workshop programme

Speakers/Instructors: Ben McFadden (University of Western Australia), Tim Inglis (Western Australian Country Health Service)

Date: Friday, 11 April 2025, 9:00 - 18:00 CEST

Place: Courtyard Vienna Prater/Messe: Trabrennstraße 4, 1020 Vienna, Austria

Registration fees: 150 EUR (€) for ESCMID members and 200 EUR (€) for non-ESCMID members

  • Fees include teaching material, lunch and coffee breaks. Travel and accommodation is not be included.
  • Participants will need to use their own laptops, with the orange data mining software, which is free and open source and can be downloaded from orangedatamining.com.

Cancellation Policy: All cancellations must be electronically mailed to courses(at)escmid.org

  • Over 30 days before the start of the course: 60% of the amount will be charged
  • Less than 30 days before the start of the course: 100% of the amount will be charged

No charges apply for a suitable, qualified substitute participant. The organisers reserve the right to cancel the course up to two weeks before the start date. A full refund of the course fees will be allowed, but the organisers cannot be held responsible for any other costs incurred (transports, hotels, etc.). Should you have any questions, please feel free to reach out using the contact form.

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