ACCESS-2026 applications now open
We’re excited to announce the 2026 edition of ACCESS (Aarhus Computational Entomology Summer School)
ACCESS 2026 information
- Dates: September 14th – 18th, 2026
- Location: Kaløvigcenter, Aarhus, Denmark
- Setting: Situated on the bay of Kalø Vig, where steep coastal slopes meet forest. Originally a seaside hotel, now a carbon-neutral conference center.
- Amenities: Large garden, fireplace, petanque court, apple grove, homemade meals with local produce.
- Accessibility: Reachable via Bus Line 123 from Aarhus, followed by a short taxi ride or ~20-minute walk.
- Capacity: 15–20 fully funded participants (plus a limited number of self-funded slots).
- Application Deadline: April 30th, 2026.
What is Offered?
- Fully Funded: Tuition, accommodation, food, and travel refunds for selected candidates.
- Curriculum: Guest lectures, practical workshops, and daily group project work.
- Project Structure: Teams (2–4 students) respond to a “mock funding call” to write a collaborative research proposal.
- Preparation: ~30 hours of remote work over two months prior to the event (online meetings, literature review, coding prep).
Pedagogical Approach & Learning Outcomes
Structure: The course utilizes a hybrid model of Case-Based Learning (expert lectures) and Project-Based Learning.
- Pre-Course: Strategic team pairing and 30 hours of remote preparation.
- In-Person: 5 days of intensive work involving keynote speeches, peer feedback sessions, poster presentations, and iterative project development.
- Field Work: Hardware demonstrations under field conditions.
Learning Outcomes
By the end of the course, participants will be able to:
- Plan and communicate projects using automated monitoring for entomological questions.
- Select appropriate monitoring methods based on strengths, weaknesses, and data needs.
- Design data acquisition programs using autonomous sensors (cameras) with attention to hardware and deployment.
- Generate labeled datasets via strategic manual annotation.
- Manage data according to metadata standards.
- Train models to detect, classify, or characterize insects in images.
Deploy open-source models while accounting for domain shifts and uncertainty
ACCESS is a WG2 activity, with collaboration across WG3 and WG4 for content creation and mentorship.
- Co-Organizers: Luca Pegoraro, Jamie Alison, and Quentin Geissmann (supported by Quentin’s team).
Past Editions
ACCESS has successfully run two editions (ACCESS-2024, ACCESS-2025).
- Impact: Attracted 70–100 applications annually, selecting only 20 participants per year due to high demand.
- Feedback: The course has received overwhelmingly positive evaluations from students and mentors.
More info: https://darsa.info/ACCESS-2026/.
