Goals
1. Foster Collaboration
- Encourage networking and open discussions among collaborators to identify potential synergies. With all the data we have gathered so far there is lots of potential.
- Facilitate the formation of new partnerships to leverage data with diverse expertise and perspectives.
2. Provide Constructive Feedback
- Allow researchers to present their individual projects and preliminary results.
- Offer a platform for receiving constructive feedback from peers to refine research approaches, methodologies, and analyses.
3. Share Insights and Best Practices
- Encourage participants to share lessons learned, challenges faced, and successful strategies employed in their projects.
- Promote knowledge exchange on research techniques, data management practices, and analytical methodologies.
4. Discuss Data Integration Opportunities
- Identify opportunities for combining datasets, and discuss methodologies for data integration that can enhance research outcomes.
- Explore the potential for joint analyses or collaborative studies that utilize data from multiple projects.
5. Explore Future Directions
- Discuss emerging trends and areas of interest within the field that may inform future research directions.
- Brainstorm ideas for pilot projects or funding opportunities that align with collective goals.
6. Establish Milestones and Action Plans
- Define clear next steps for ongoing projects based on discussions and feedback received during the meeting.
- Develop action plans for proposed collaborations, including timelines, authorship, responsibilities, and anticipated outcomes.
- Establish follow-up mechanisms, such as regular progress updates or collaborative working groups.
Some reminders for presenters
1. Give a short update on your PhD progress (If applicable; 1-2 slides – use 1-3 min)
- Provide a list of papers in prep, submitted and published (with title and co-author list)
- Give current state of courses and timeline of your PhD
2. Present key findings using clear visuals
Present key findings using clear visuals (charts, graphs, images). Avoid cluttered slides and excessive text.
- Highlight the most significant data points and trends.
- Remember to explain the results clearly, focusing on what they mean in the context of your research question.
3. Suggest next steps based on your results
This will open for discussion!
4. Pose a few open-ended questions to the audience to spark discussion
For example:
- "What approaches do you think could enhance the outcomes of this study?"
- "Can anyone share experiences from similar research efforts that could benefit this project?"
- "What are potential collaborations, additional analyses, or follow-up studies? "
- "What additional data might be needed to support these findings?"
- "Who in the room may have complementary data that could enhance this project?"
5. Aim for a presentation length that allows for interaction
Aim for a presentation length that allows for interaction (typically 15 minutes) followed by questions (minimum of 5 minutes).
6. If comfortable, use polling tools (like Mentimeter or Slido) during or after presentations to gauge audience opinions or areas of interest
This can also identify pressing questions for further discussion.
7. There will be also designated time slots for Q&A
This will promote engagement.
For the audience
We will have a moderator who will manage the Q&A session to ensure everyone gets a chance to speak and that discussions remain focused and productive. Here, some points that may spark ideas for questions from your end:
- "What aspects of the methodology could be refined or improved?"
- "Do you see any potential biases in the data interpretation?"
- "What are the key questions that remain unanswered from this research?"
- "What external factors (e.g., funding opportunities, emerging technologies) could impact the direction of this research?"
As discussions unfolds, we will try to assign action points.
For example:
- "Let’s coordinate a follow-up meeting to discuss combining our datasets."
- "Could we propose a collaborative grant for a larger study based on these findings?"
- "Are there computational methods or statistical approaches that could enhance analysis?"
- Schedule follow-up virtual calls or meet-ups to check on progress and collaborations.
Small Group Discussions
If interest exists, we will consider dividing the audience into small groups to discuss specific topics related to the presentation, data or papers. Each group can later share key takeaways with the larger audience. Please contact alexander.eiler@ibv.uio.no if you already have ideas for such groups.