About this Event
Overview
The King’s Open Research Summer School returns from Monday 20th to Friday 24th July 2026 for a week of talks and practical training focused on improving the quality, transparency, and credibility of research. Hosted at King’s College London and open to all disciplines and career stages, the Summer School brings together researchers, students, clinicians, librarians, technicians, and research staff interested in open and reproducible science.
Now in its third year, the 2026 programme will feature leading researchers and practitioners discussing topics including research integrity, questionable research practices, publication bias, scholarly communication, reproducibility, and research culture, alongside practical sessions designed to help attendees implement better research practices in their own work.
What to expect
Across the week, attendees can take part in:
- Talks and panel discussions from researchers working at the forefront of open science and research integrity
- Practical workshops covering topics such as preregistration, Registered Reports, data sharing, reproducible workflows, robustness checks, and transparent reporting
- Sessions on error detection, improving research culture, and strengthening scientific credibility
- Networking opportunities with researchers and professionals across disciplines
Programme
Monday 20 July
08:30–10:00 Registration, Tea/Coffee
10:00–11:00 Why is Science Broken?
Samuel Westwood
11:00–12:00 P-Hacking Strategies
Angelika Stefan
12:00–13:00 Lunch
13:00–14:00 Are Paper Mills Really Caused by a Few "Bad Apples" – or Something Much Bigger?
Joohna Jeon
14:00–15:00 Is There Even a Replication Crisis?
Tim Rakow
15:15–16:15 Open Research Governance
Zoltan Dienes
16:15 onwards Networking
Tuesday 21 July
09:00–09:30 Tea/Coffee
09:30–10:30 Introduction to Open Science Culture
10:30–12:00 Reproducible Workflows in R (Workshop)
Ewan Carr
12:00–13:00 Lunch
13:00–14:00 TBC
14:00–15:00 Preregistration
Daniel Lakens
15:00–16:00 Registered Reports
Emma Henderson
16:00 onwards Networking
Wednesday 22 July
09:00–09:30 Tea/Coffee
09:30–10:00 Networking
10:00–12:00 Data Simulation (Workshop)
Dale Barr
12:00–13:00 Lunch
13:00–14:30 Bayesian Statistics (Workshop)
Zoltan Dienes
14:30–16:00 A Tutorial for Calculating Field-Specific Effect Size Distributions (Workshop)
Bernt Damian Glaser
16:00 onwards Networking
Thursday 23 July
09:00–09:30 Tea/Coffee
09:30–10:30 Error Detection (Title TBC)
Lukas Jung
10:30–12:00 StatCheck (Workshop)
Michèle Nuijten
12:00–13:00 Lunch
13:00–14:30 GRIM, RIVETS, and SPRITE (Workshop)
Nick Brown
14:30–16:00 MetaCheck (Workshop)
Daniel Lakens
16:00 onwards Networking
Friday 24 July
09:00–09:30 Tea/Coffee
09:30–10:30 Research Supervision
Sara Byford
10:30–12:00 Dilemma Game (Workshop)
12:00–13:00 Lunch
13:00–14:00 Open Research and Expertise in the Age of AI
Emily Nordmann
14:00–15:00 Paper Mills (Title TBC)
Nick Wise
15:00–16:00 AI and Bots
Alexandra Lautarescu
16:00 onwards Networking
Who should attend?
The Summer School is free and open to:
- Undergraduate and postgraduate students
- Academic and research staff
- Research support staff, librarians, and technicians
- Anyone interested in improving research practices
No previous experience with open research is required.
Attendance options
In person
Includes access to:
- All talks, discussions, and workshops
- Networking opportunities
- Refreshments and lunch
Online
Includes access to:
- Livestreamed talks and panel discussions
- Workshop observation and online Q&A
Please note that hands-on workshop support and networking opportunities are only available to in-person
Feel free to attend the whole week or specific sessions you are interested in.
Venue and accessibility
The event will take place at the Social, Genetic & Developmental Psychiatry (SGDP) Centre, King’s College London. In The Judy Dunn Room and The Lorna Wing Room. For travel information, see .For accessibility guide, see
Event Venue & Nearby Stays
Social Genetic and Developmental Psychiatry Centre, Memory Lane, London, United Kingdom
GBP 0.00
