Full Day Workshops

EHPS 2023 will accommodate three (3) full day workshops, which will be held on Monday 4^th of September 2023. Conference attendees who wish to participate in these workshops will be required to register and pay the appropriate fee. Details on the workshop registration process can be found at https://2023.ehps.net/registration. Please note that this year the full day workshops, as well as the half day workshop will be held in parallel.

Open Digital Health: Leading digital health transformation in health promotion and treatment, most prominent issues

Description:

Digital health tools (i.e., the use of technology solutions such as computers, smartphones, wearables, virtual reality) to deliver health promotion interventions and treatment are gaining popularity worldwide. Although some tools are effective, their robust evaluation and successful implementation remain limited to specific contexts and populations.

Open Digital Health (ODH) is a not-for-profit organization affiliated with the EHPS that aims to improve evaluation, scalability and reuse of digital health tools worldwide following the principles of open science. This workshop led by the ODH Directors will include a discussion on the topic of the most prominent issues in digital health transformation in health promotion and treatment.

After the initial presentation and opening discussion, the participants will work in small groups on the topic areas that they have the most interest in, including but not limited to interoperability, open science, digital ethics, scalability, and digital transformation. The main aim of the workshop is to form working groups that can continue the conversation post workshop and form active groups supported by the ODH, applying for relevant funding, collaborating, and publishing on the relevant topics.

The workshop will provide a stimulating environment for digital health researchers to share existing digital health tools, and to brainstorm how to best move forward in the digital health field. Basic understanding of digital health and digital health research principles is required to attend the workshop.

Digital health tools have yet to significantly and sustainably impact health and wellbeing at a large scale and are yet to be applied equitably across populations and settings with differing needs. This workshop is set to bring thinkers and researchers to discuss innovative breakthroughs that are still needed in this field. A commentary article will be one of the outputs of the meeting, together with networking, knowledge sharing, and setting potential collaboration plans.

Objectives:

To discuss the most prominent issues in digital health transformation in health promotion and treatment;
To facilitate networking, knowledge sharing, and to set potential future collaboration plans;
To form working groups that can continue the conversation post workshop and form active groups supported by the ODH, applying for relevant funding, collaborating, and publishing on the relevant topics;
(post workshop) To write a collaborative commentary article on the topics discussed during the meeting.

Activities:

After the initial presentation and opening discussion, the participants will work in small groups on the topic areas that they have the most interest in, including but not limited to interoperability, open science, digital ethics, scalability, and digital transformation. Digital health tools have yet to significantly and sustainably impact health and wellbeing at a large scale and are yet to be applied equitably across populations and settings with differing needs. This workshop is set to bring thinkers and researchers to discuss innovative breakthroughs that are still needed in this field. The workshop will include a combination of presentations, open discussion and facilitator-led small group brainstorms.

The intented participants:

Basic understanding of digital health and digital health research principles is required to attend the workshop.

The maximum number of participants:

30

Offered for online participation:

No

Detailed Program:

TBA

Convenor:

Dominika Kwasnicka, University of Melbourne, Australia, SWPS University, Australia

(dom.kwasnicka@unimelb.edu.au)

Facilitators:

Robbert Sanderman, University of Groningen, Netherlands

(r.sanderman@rug.nl)

Gill ten Hoor, Maastricht University, Netherlands

(gill.tenhoor@maastrichtuniversity.nl)

Keegan Knittle, University of Helsinki, Finland

(keegan.knittle@helsinki.fi)

Lenka Knapova, Department of Human Movement Studies, University of Ostrava, Czech Republic

(lenka.knapova@osu.cz)

Anne van Dongen, University of Twente, Netherlands

(a.vandongen@utwente.nl)

An Introduction to Research Data Management – Challenges and Opportunities in Health Psychology

Background:

Sharing research data can be considered one of the main corner stones of good scientific practice and is becoming more important across disciplines. An underlying good practice in handling data, from the beginning of each project, can help with project organisation for one self but especially when working in teams and with external collaborators. Sustainable data management during a research project saves time and makes archiving and publication of relevant data at the end of each project easier. Sharing data does not only ensure replication of research results but also enables reuse and allows to build upon previous work. And it can increase the visibility and relevance of each research project. However, in health psychology at the intersection between psychology, public health and medicine, data handling can be quiet a challenge: working with sensitive and personal health-related data, data security, as well as legal frameworks. Also, health sciences are entering the age of big data analysis, but the application of machine learning algorithms and applications requires high quality and machine-readable data. Data management plans (DMPs) help address these challenges and are more and more requested when applying for research funding. Implementation of the so-called FAIR-principles (make research data Findable, Accessible, Interoperable and Reusable) across the research data life cycle facilitate the realization of these new data handling requirements.

Objectives:

During the workshop, a (1) general introduction to research data management and overview on the implementation of the FAIR principles across the research data life cycle will be provided. We will (2) discuss challenges when working with health-related data and (3) try out some tools and resources that help with the FAIRification of datasets. Participants are welcome to provide insights and share experience from their own research projects and data. At the end, participants should be able to (4) derive requirements for data management plans in accordance with most research funding bodies.

The intended participants:

PhD students and PostDocs working with health-related data

Maximum number of Participants:

20

Offered for online particiaption:

No

Detailed Program:

TBA

Convenor:

Sandra Zänkert, University of Bremen, Data Science Center, Germany

(sandra.zaenkert@uni-bremen.de)

Facilitators:

Heike Thöricht, University of Bremen, Data Science Center, Germany

(thoericht@uni-bremen.de)

Lena Steinmann, University of Bremen, Data Science Center, Germany

(lena.steinmann@uni-bremen.de)

Rolf Drechsler, University of Bremen, Data Science Center, Germany

(drechsler@uni-bremen.de)

Closing the diversity data gap: Proposing country-specific versions of a Diversity Minimal Item Set (DiMIS)

Objective:

The health sciences strive to provide high-quality evidence for all members of society, but there remains a considerable gender and diversity data gap, i.e., a systematic lack of data for traditionally underrepresented groups. Stadler, Chesaniuk, Haering, Roseman, Straßburger, the Diversity Assessment Working Group, and Schraudner (2022, doi.org/10.31234/osf.io/bjyms) proposed a brief, efficient Diversity Minimal Item Set (DiMIS) for routine data collection in empirical studies to contribute to closing the diversity and gender data gap. Yet, appropriate terms for concepts such as sex, gender, ethnicity or race – just to name a few – as well as their response options may vary across languages, cultures and legislations and may need to be adapted according to local context and target population. This full-day workshop aims to bring together researchers from various backgrounds to translate, revise, and adapt the DiMIS to several language and cultural contexts. Following the workshop, the results will be published to facilitate culturally-informed data collection to close the gender and diversity data gap in the health sciences. We hope to contribute to a more equitable and inclusive research practices in collaboration with fellow health psychologists.

Activities:

In the introduction to the workshop, participants will learn about principles of diversity-sensitive data collection and review the English and German versions of the DiMIS. Further language versions will be presented by the International Diversity Minimal Item Set working group, and challenges as well as ethical and legal aspects of diversity data collection will be discussed. Depending on the background, skills and interest of the registered participants, it might also be possible to join break-out sessions, where participants will then create versions in different languages and adapt these to regional contexts.

Participants are invited to join the International Diversity Minimal Item Set working group and work on a country-specific version of their choice already prior to the workshop. For this, please contact the workshop convenors.

The intented participants:

This event is aimed at researchers and stakeholders at any career stage who already have experience and/or interest in assessing social determinants of health and other diversity domains. Fluency in a language other than German and English is a plus.

The maximum number of participants:

100

Available for online participation:

Yes

Detailed Program:

8:30 – Arrival and registration
9:00 – Welcome and introduction
10:00 – Coffee Break
10:30 – Session 1
13:00 – Lunch break
14:00 – Session 2
15:30 – Coffee Break
16:00 – Wrap up
17:00 – Workshop ends

Convenors and Facilitators:

Gertraud (Turu) Stadler, Charité, Universitätsmedizin Berlin, Germany

(gertraud.stadler@charite.de)

Stephanie Haering, Charité, Universitätsmedizin Berlin, Germany

(stephanie.haering@charite.de)

Facilitators:

Pichit Buspavanich, Charité, Universitätsmedizin Berlin, Germany

(pichit.buspavanich@charite.de)

Martina Schraudner, TU Berlin, Fraunhofer, Germany

(Martina.Schraudner@iao.fraunhofer.de)

Click here for the Registration System