Registration and participation fee
Due to the high demand for this workshop, we have introduced an application process to ensure a balanced and diverse representation of professional backgrounds and interests.
Participation fee: 50 DKK (no-show: 500 DKK)

Workshop Programme:

Artificial intelligence (AI) has the potential to transform healthcare worldwide. bearing promises of increased accuracy, efficiency, and cost-effectiveness, in areas as diverse as drug discovery, clinical diagnosis, and disease management.

Furthermore, AI has been promoted as a tool that could expand the reach of quality healthcare to traditionally underserved patients and regions. But even with appropriate representation of marginalized communities with high-quality data, the social patterning of the data generation process can still produce AI that is bound to preserve and even scale existing disparities in care with resulting inequities in patient outcomes. 

Creating algorithms from the digital exhaust of flawed human systems by AI developers who are not cognizant of the backstory of the data, risks cementing inequities as permanent fixtures in healthcare delivery systems. This course will introduce students to a portfolio of methodologies that learn patterns from the data. More importantly, it will explore data issues that if not addressed will have profound consequences on downstream prediction, classification, and optimization tasks. 

Learning Objectives / Key Takeaways
Upon successful completion of this course, you should be able to:  

• Work with data scientists,social scientists, and clinicians across the life cycle of health AI andapply systems thinking to the application of AI to healthcare  
• Learn good code documentationfor reproducibility of AI development 
• Develop a criticalunderstanding of how the dataset came about from collection to aggregationto standardization
• Perform exploratory dataanalysis with a special emphasis on data bias
• Understand the basic principlesof different machine learning methodologies
• Interpretand communicate analysis results
• Think about potentialdownstream harm from algorithm implementation

Who should participate
Students, scientists, and analysts engaged in development, deployment or assessment and analysis of AI in healthcare and open to cross-disciplinary collaboration. 

Speakers

• Leo Anthony Celi AssociateProfessor at Harvard Medical School, and Clinical Research Director of theLaboratory of Computational Physiology at the MIT
• Martin Sillesen ClinicalResearch Lecturer in Surgery, Rigshospitalet. Brings clinical insightsinto health technology research, with a special interest in theapplications of AI in surgical practices. 
• Anna Schneider-Kamp.Qualitative Health Researcher, Associate Professor, Department of Businessand Management, University of Southern Denmark
  Specializes in qualitative health research, with a focus on theintersection of health, business, and management practices. 
• Matilda Dorotic. AssociateProfessor, Department of Marketing, BI Norwegian Business School, Norway.Expert in incentive structures and marketing strategies in healthcare,studying how market mechanisms influence patient and providerbehavior. 
• Ericka Johnson Professor,echnology and Social Change, Linköping University
  Focuses on the social impacts of technology, including ethical frameworksand social challenges associated with health AI. 
• Mads Bundgaard Nørløv MSc BMEstudent, Johns Hopkins Center for Bioengineering Innovation and Design& Founder/Chair, Copenhagen MedTech Innovator in bioengineering withexpertise in medtech entrepreneurship, fostering cross-disciplinarycollaborations in health technology. 
• João Matos PhD Student,University of Oxford Researching applications of AI in healthcare with afocus on ethical considerations in patient data management. 
• David Restrepo PhD Student,Applied Mathematics, CentraleSupélec, University Paris-Saclay. Specialistin mathematical modeling for healthcare, exploring new applications of AIin medical diagnostics. 
• Chris Sauer MD, MPH, PhD,Physician, Universitätsmedizin Essen, and MIT Researcher Medicalprofessional and researcher focused on integrating AI with medicalpractice to improve patient outcomes. 
• Nikolaj Munch Andersen. SeniorTech Advisor, Danish Ministry of Foreign Affairs (Udenrigsministeriet)Advisor on technology policy with a focus on AI regulations andinternational tech governance. 

Agenda (Download Programme)

• 08:30Registration and Breakfast 
• 09:00 Welcome and OpeningRemarks
  Speakers: Leo Anthony Celi, Martin Sillesen and Henning BojeAndersen 
• 09:30 Panel Discussion:"Beyond the Bottom Line: Which Capitals Drive Health AI?"
  Panelists: Anna Schneider-Kamp and Martin Sillesen
  Exploring the allocation of economic and sociocultural resources in healthAI and how it impacts inclusivity and equity in various healthcaresettings. 
• 10:15Coffee Break
• 10:25 Panel Discussion:"Reimagining Incentive Structures to Safe-Proof Health AI"
  Panelists: Matilda Dorotic and Mads Nielsen
  A critical discussion on how incentives can be structured to prioritizepatient safety and align AI advancements with healthcare goals. 
• 11:15 Panel Discussion:"Critical Thinking as a Requisite for AI Education"
  Panelists: Ericka Johnson and Niels Hansen
  Addressing the need for robust critical thinking in AI education and itsrole in developing ethical and responsible AI professionals. 
• 12:00Lunch Break  
• 13:00 Workshops in parallel -Session 1
  · Introduction to Machine Learning 
  · Bias-athon · Language Model Prompt-athon 
  · Policy Workshop 
• 14:30Coffee/cake / refreshments 
• 15:00 Workshops in parallel –Session 2 (repeat)  
• 16:30 Summing up, learnings andperspectives
  moderation by Leo Anthony Celi and Martin Sillesen
• 17:00End of workshop
• 18:00 Dinner at IDA Conference Restaurant (free) - remember to indicate if you wish to participate.

Program Committee

• Leo Anthony Celi. Assoc. Professor HarvardMedical School; Clinical Research Director at Computational Physiology Lab/ MIT
• Martin Sillesen. Assoc.Professor, Clinical Research Lecturer in Surgery,Rigshospitalet.  
• Henning Boje Andersen ProfessorEmeritus, Technical University of Denmark. Department of Technology,Management, and Economics / IDA Risk / DSKS Forskning. 
• Jonathan Patscheider. VicePresident, Trust Stamp 
• Lasse Hyldig Hansen.Behavioural Adviser, Danish Competition and Consumer Authority; ResearchAssistant, Aarhus University 

Organizers

IDA Risk - IDA Engineering Society; MIT/Massachusets Institute of Technology; DSKS - Dansk Selskab for Kvalitet i Sundhedssektoren; Rigshospitalet/ Københavns Universitet; DTU Health Tech;  Copenhagen Medtech.   

Sponsor
The workshop is sponsored by DDSA – Danish Data Science Academy

 ________________________

Join IDA Risk Network - get the newsletter and favorable member prices!
Membership in IDA Risk is free for IDA members. If you are not a member, sign up here before registering (Remember, you must be logged in to ida.dk).

You can sign up for IDA Risk as a guest membership via this form, annual fee DKK 500. Corporate membership can be obtained via this form.

Sign up - Not a member of IDA?
To register, you need to create a user profile. Note, when creating a user profile, you will be able to access IDA's online services - you will not become a member of IDA.

Stay informed, subscribe IDA Risk' Newsletter
Anyone can join IDA Risk 'newsletter for free and get info on the latest events: Subscribe to newsletter here

Important information regarding personal data on participant lists
Your name, title and company name will appear on the participant list for this event if you have previously given consent or have given consent in connection with registration to this event. The participant list is available to the organizer and the other participants at the event itself in the form of a participant list. At some events, a name tag is also given out, where your name, title and company name appear. If you unsubscribe from the event, your information will no longer appear on the participant list.
You can read more about consent here: Mine samtykker, præferencer og vilkår | Mit IDA

When you are registered as a participant at this conference, you will also automatically receive info about the next event/conference within the same subject area.