RIOT Science Club
What Ive learned from talking about reproducibility for 13 years | Neuroskeptic
updated
He introduces tools like Inspect SR and reflects on challenges in statistical education, power dynamics in research, and how increased public awareness (e.g. post-COVID) has shaped science communication — for better or worse.
Dr. Ian Hussey is a postdoctoral researcher at the University of Bern and Chief Recommender for the ERЯOR Project, which rewards researchers for detecting errors in scientific literature. His work focuses on implicit cognition, measurement, reproducibility, and building practical tools to strengthen research integrity.
Dr. Mark Horowitz is a clinical research fellow in psychiatry and a practicing psychiatrist. He runs an NHS clinic dedicated to helping people safely taper off antidepressants and has published extensively on withdrawal effects and deprescribing. With a PhD in psychiatry and neuroscience, his work bridges molecular biology, clinical practice and patient experience. He is also co-author of The Maudsley Deprescribing Guidelines.
In this insightful talk, Reese shares practical strategies for identifying and addressing issues in published research — especially within psychology and the social sciences. Speaking at a research integrity event, Reese introduces COSIG (Community for Open Science Investigation Guides), a growing set of resources to help academics, students, and the public engage in post-publication peer review.
From leaving impactful PubPeer comments to escalating concerns with publishers and institutions, Reese covers:
- How to effectively flag questionable findings in academic papers
- Why community-led reviews are changing scientific publishing
- Tips for escalating integrity issues (and why persistence matters)
- Tools and technology that can make error detection more accessible
- Positive outcomes where COSIG has influenced retractions, corrections, and publisher practices
In this eye-opening talk, Nick Wise reveals the hidden industry of paper mills, companies producing and selling fraudulent academic papers and authorship slots on an industrial scale. He explains how mass retractions have shaken scholarly publishing, why the “scientific paper as product” model fuels corruption and how flawed incentives keep paper mills thriving. Drawing from real case studies, Nick exposes unrealistic research claims, fake author contribution statements and the multi-million-pound business behind fraudulent publications. He also offers practical advice for editors, reviewers and researchers on spotting suspicious work, reporting concerns and pushing for systemic reform to clean up the academic record.
In this session, Dr Henderson explains the history, philosophy, and practice of pre-registration and registered reports - methods designed to improve research rigour and tackle the replication crisis. She covers how pre-registration works, why committing to an analysis plan before data collection matters, common misconceptions, and the benefits and limitations of registered reports. The discussion highlights how these practices can improve transparency, strengthen critical reading skills, and foster more reliable science.
In this Open Science Summer School talk, she explains the philosophy and practice of preregistration, linking it to Karl Popper’s falsification, the idea of severe testing, and how questionable research practices (QRPs) like p-hacking and HARKing undermine findings.
You’ll learn:
- Why preregistration supports falsifiable, bias-resistant research
- Common pitfalls and misconceptions (it’s not a “quality badge”)
- When preregistration doesn’t make sense (exploratory, qualitative, secondary analyses)
- Tools for transparency like open lab notebooks and GitHub
- Valid reasons to deviate from preregistration plans
James is a physiologist and science communicator known for his groundbreaking work on research integrity and scientific error detection. He has published widely in the areas of heart rate variability, experimental design, and meta-research. A leading voice on scientific misconduct, James has exposed several high-profile cases of data fabrication, bringing critical issues in science into the public eye.
In this talk, he blends technical expertise with a sharp wit to reveal how misconduct happens, why it matters, and the practical steps we can take to make science more reliable and transparent. Whether you’re a researcher, student, or simply curious about how science works behind the scenes, this is a must-watch.
Topics covered:
- Detecting errors and fraud in scientific research
- The psychology and incentives driving misconduct
- Case studies of high-profile data fabrication
- Practical reforms for transparency and reliability in science
#ResearchIntegrity #ScientificMisconduct #MetaResearch #JamesHeathers #OpenScience
Alex explains how online surveys, especially those recruiting via social media, are vulnerable to bot attacks that can distort data integrity. She presents a mixed-methods approach for managing the issue.
Key Takeaways:
- Bot infiltration in online surveys is increasingly disruptive and hard to detect.
- There is no perfect automated fix, so prevention is better than cure.
- Multi-layered detection combining both quantitative and human verification works best.
- Transparent reporting of bot exclusion methods builds research credibility.
- Human judgment remains essential alongside automation.
liverpool.ac.uk
In this session, Angelika Stefan unpacks the subtle and often unintentional research decisions known as p-hacking, revealing how they can inflate false positives and weaken scientific credibility.
Drawing on her paper "Big Little Lies", she outlines 12 common p-hacking strategies (outlier exclusion, optional stopping, variable transformation, subgroup analysis, and more) and demonstrates through simulations how each one can distort results. She shows how these practices increase false positives, bias effect sizes, and undermine replicability, regardless of sample size.
Angelika further clarifies the distinction between p-hacking strategies (analytical choices) and p-value reporting strategies (which results are shown), illustrating how both shape the p-curve. She concludes by exploring “possible worlds” of research through simulation, demonstrating that many distinct mixes of true and false effects, along with varying practices, can create identical published patterns.
Key Takeaways:
- P-hacking isn’t outright fraud—but it harms scientific trust.
- A few unplanned decisions can triple false positive rates.
- Bigger sample sizes don’t protect against p-hacking.
- Simulations are powerful tools for testing methodological risks.
- P-curves alone can’t tell the full story.
In this talk, Peter Clayson discusses recent developments regarding multiverse analysis of psychophysiological data. Specifically, he uses a EEG as an example to go into all the forking paths a researcher can take during data analysis and study design.
This presentation was hosted by the Rotterdam RIOT Science Club!
In this insightful talk, Professor Fried explores how Open Science can serve as a powerful tool to tackle contemporary challenges in scientific research. He discusses the importance of collaborative approaches and innovative methodologies in enhancing the credibility and impact of psychological studies.
This presentation is part of the revitalized series hosted by the Rotterdam RIOT Science Club, and we can't wait to see what exciting developments lie ahead!
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Slides/Materials: https://x.com/riotscienceclub
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Please like and subscribe to support future content.
Slides/Materials: https://x.com/riotscienceclub
X/Twitter: https://x.com/riotscienceclub
Please like and subscribe to support future content.
Slides/Materials: https://x.com/riotscienceclub
X/Twitter: https://x.com/riotscienceclub
Please like and subscribe to support future content.
Slides/Materials: https://x.com/riotscienceclub
X/Twitter: https://x.com/riotscienceclub
Please like and subscribe to support future content.
Slides/Materials: https://x.com/riotscienceclub
X/Twitter: https://x.com/riotscienceclub
Please like and subscribe to support future content.
Slides/Materials: https://x.com/riotscienceclub
X/Twitter: https://x.com/riotscienceclub
Please like and subscribe to support future content.
Slides/Materials: https://x.com/riotscienceclub
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Please like and subscribe to support future content.
In this special feature episode, friend of the RIOTS Club and producer of The Science or Fiction Podcast, Dr. Kathryn Bates, interviews Fiona Fox, CEO of the Science Media Centre and author of Beyond the Hype: The Inside Story of Science's Biggest Media Controversies to find out how science makes the headlines. They cover how scientists and the media communicate and how we need to adapt in the ever-changing landscape of social media. Listen now, and follow The Science or Fiction Podcast for more: www.scienceorfiction.co.uk
Please like and subscribe and follow the RIOT Science Club on X (formerly Twitter) @riotscienceclub
Dr Tomlinson is a Lecturer in Medical Science, whose research background is in clinical exercise physiology, having obtain his PhD from the University of Exeter in 2018, winning the BASES Tom Reilly Prize for his work. His clinical research examines how we can use cardiopulmonary exercise testing for people with chronic lung disease to identify causes of poor exercise function, and how exercise services are delivered in the NHS. In his education role, he is focused on how students understand and apply critical appraisal alongside interpreting hierarchies of evidence. This includes awareness of open-access practices, and ‘predatory publishers’, particularly in medicine and medical science.
About the RIOTS Club
Visit riotscience.co.uk or Twitter @riotscienceclub. To subscribe to our mailing list, please email riotscienceclub@kcl.ac.uk.
Prof Russell "Russ" Poldrack is a Professor of psychology at Stanford University. See more information https://poldracklab.stanford.edu/
About the talk
Artificial intelligence (AI) tools based on large language models have achieved human-level performance on some computer programming tasks. We report several experiments using GPT-4 to generate computer code. These experiments demonstrate that AI code generation using the current generation of tools, while powerful, requires substantial human validation to ensure accurate performance. We also demonstrate that GPT-4 refactoring of existing code can significantly improve that code along several established metrics for code quality, and we show that GPT-4 can generate tests with substantial coverage, but that many of the tests fail when applied to the associated code. These findings suggest that while AI coding tools are very powerful, they still require humans in the loop to ensure validity and accuracy of the results.
About the RIOTS Club
Visit riotscience.co.uk or Twitter @riotsciencenclub. To subscribe to our mailing list, please email riotscienceclub@kcl.ac.uk.
Joscelin Rocha-Hidalgo currently works at Penn State as a Postdoctoral Fellow looking at Parent-Child brain activity synchrony and temperament development. Joscelin received her doctoral degree in Lifespan Cognitive Neuroscience at Georgetown University, where she focused on children's cognitive development and factors such as bilingualism and media. On June of 2022, Joscelin joined the team of "R for the Rest of Us" as its first intern.
About the workshop:
Cleaning your data can be a tedious and time-consuming task. This hands-on workshop will introduce you to the tidyverse syntax and explore some functions from the dplyr package to turn your data into the format you need. You will learn to select, filter, transform variables, pivot, make some basic descriptive analyses, and more in order to make your data wrangling more efficient.
If you would like an intro to R, you can take advantage of this free course by R for the Rest of Us: rfortherestofus.com/courses/getting-started
This interactive introduction to R workshop will provide you with the necessary skills to get started with data inspection, analysis, and visualization in R.
You can find materials (slides, exercises) on the GitHub repository: github.com/Joscelinrocha/RIOTS-Intro-to-R-Workshop-Fall-2022
00:00 Start
00:20 Finding the materials on Github
02:01 Introduction
02:35 Agenda for the workshop
04:37 Intro to R and Importing Datasets
25:38 Creating Reproducible Analyses: Introduction to RMarkdown
38:38 Exercise 1: Creating RMarkdown file
39:17 Exercise 1: Solutions
42:19 Intro to Data Wrangling
44:37 Tidyverse
47:19 Live coding examples of data wrangling
51:45 Load packages
52:43 Import data
55:18 rename
57:28 clean_names
59:17 separate
1:02:45 select
1:05:27 filter
1:11:03 Exercise 2: Tidyverse
1:11:08 mutate
1:14:06 case_when
1:17:11 summarise
1:18:26 group_by
1:19:42 across
1:21:06 relocate
1:22:18 pivot_longer/pivot_wider
My research predominantly focuses on the relationship between technology and learning, in particular, lecture capture and how it can be used as an effective study tool and the impact on students from widening participation backgrounds. Since the disruption of COVID-19, my work has pivoted to supporting staff and students with a transition to online learning and back again with a particular focus on how to foster belonging and generic study skills.
Alexander Refsum Jensenius is Professor of music technology at the University of Oslo and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion. His research focuses on why music makes us move, which he explores through empirical studies using different motion-sensing technologies. He also uses analytical knowledge and tools to create new music with both traditional and very untraditional instruments. These are presented in his upcoming book "Sound Actions: Conceptualizing Musical Instruments" (MIT Press, 2022).
Supervision is one important way to socialize PhD candidates into responsible research. We hypothesized that one should be more likely to identify responsible research practices (here publishing open access and sharing data) in empirical publications that were part of a PhD thesis when the PhD candidate’s supervisors engaged in these responsible research practices compared to PhD candidate’s supervisors who did not or rarely did.
Tamarinde Haven has a background in psychology, philosophy, and epidemiology. She defended her PhD thesis in 2021 at the Vrije Universiteit Amsterdam focusing on the role of the research climate in fostering or undermining research integrity. In her time as
a postdoc at the BIH QUEST Center for Responsible Research, she investigated role modelling of Open Science practices among biomedical supervisor. Currently Tamarinde works at Aarhus University on a Rubicon funded project to develop a measurement instrument for responsible supervision.
Lisa DeBruine is a professor of psychology at the University of Glasgow School of Psychology and Neuroscience. She is a founding member and current Associate Director of the Psychological Science Accelerator, a member of the APA Open Science and Methodology Committee, a local lead for the UK Reproducibility Network, a member of the ORCiD Researcher Advisory Council, and a member of the psyTeachR team for reproducible research educational resources.
Dustin Scheinost earned his PhD in biomedical engineering from Yale University and is currently an Assistant Professor in the Department of Radiology & Biomedical Imaging at Yale School of Medicine, where he leads the Multimodal Imaging, Neuroinformatics, and Data Science (MINDS) Lab. Dustin’s research interests include functional connectivity, predictive modeling, software development (BioImage Suite), and fetal-infant fMRI. In addition, Dustin is a founding member of the Fetal, Infant, & Toddler Neuroimaging Group (FIT’NG).
Matt Rosenblatt received his BS in bioengineering from the University of Pittsburgh, and he is currently a biomedical engineering graduate student in the Multimodal Imaging, Neuroinformatics, and Data Science (MINDS) Lab at Yale University. Matt’s main research focus is evaluating and improving the trustworthiness of machine learning for neuroimaging.
About the talk
In this talk, we will summarize our recent bioRxiv preprint “Trends in self-citation rates in neuroscience literature”. Since the downstream effects of self-citations include increased visibility and citations from others, it is crucial to establish baseline self-citation rates in neuroscience literature. We will not only discuss baseline self-citation rates, but also differences in self-citation by year, seniority, country, and gender. Finally, we will highlight a Python tool (github.com/mattrosenblatt7/self_citation) where authors can evaluate their own self-citation rates.
About the RIOTS Club
Visit riotscience.co.uk or Twitter @riotsciencenclub. To subscribe to our mailing list, please email riotscienceclub@kcl.ac.uk.
My name is Annalisa Myer (A-nuh-LEE-suh MY-er).
Pronouns: She, Her, and Hers
I'm a Basic and Applied Social Psychology PhD student at the City University of New York Graduate Center, a leader in graduate education and social justice.
I use a comprehensive, intersecting, and accessible science approach to psychological science: one that promotes globalization and diversity, research integrity and applicability, collaboration across fields and disciplines, and holistic theory-building.
Outside of the lab, you can find me wandering the city, enjoying open mic comedy or Jollibee (a fast-casual Filipino restaurant serving fried chicken and other Asian treats).
As a Vice President at Arnold Ventures, Stuart funded renowned work showing that scientific research is often irreproducible, including the Reproducibility Projects in Psychology and Cancer Biology. As a grantmaker, he helped launch the Center for Open Science, Vivli, the Meta-Research Innovation Center at Stanford, the Stanford Center for Reproducible Neuroscience, the Yale Collaboration on Research Integrity and Transparency, and the Evidence-Based Medicine DataLab at Oxford. He was instrumental in creating the TOP Guidelines, the world’s most widely-adopted standards for scientific publication. His grantmaking was featured in Wired, the Economist, the New York Times, and the Atlantic, among many others.
The president of the National Academies of Science and Medicine (Marcia McNutt) has said, “I cannot imagine how much progress would have been made in furthering open science without your leadership.”
As well, he has:
Advised the GAO on how to improve federally funded research.
Reviewed research grants on behalf of the U.S. Department of Health and Human Services (HHS).
Consulted HHS to design a conference on reproducibility.
Advised the John Oliver show on an episode about scientific reproducibility.
Given advice to DARPA, IARPA, the Department of Veterans Affairs, and the White House Social and Behavioral Sciences Team on rigorous research processes.
Published in top journals (such as Science, Nature, and BMJ) on how to make research more accurate.
He has been a reviewer for Science, Bioinformatics, and BMJ, and served for several years on the executive committee of the Harvard Multi-Regional Clinical Trials Center.
He has a Ph.D. in education policy from the University of Arkansas; a J.D. with honors from Harvard Law School, where he was an editor of the Harvard Law Review; and bachelor’s and master’s degrees from the University of Georgia.
As a Vice President at Arnold Ventures, Stuart funded renowned work showing that scientific research is often irreproducible, including the Reproducibility Projects in Psychology and Cancer Biology. As a grantmaker, he helped launch the Center for Open Science, Vivli, the Meta-Research Innovation Center at Stanford, the Stanford Center for Reproducible Neuroscience, the Yale Collaboration on Research Integrity and Transparency, and the Evidence-Based Medicine DataLab at Oxford. He was instrumental in creating the TOP Guidelines, the world’s most widely-adopted standards for scientific publication. His grantmaking was featured in Wired, the Economist, the New York Times, and the Atlantic, among many others.
The president of the National Academies of Science and Medicine (Marcia McNutt) has said, “I cannot imagine how much progress would have been made in furthering open science without your leadership.”
As well, he has:
Advised the GAO on how to improve federally funded research.
Reviewed research grants on behalf of the U.S. Department of Health and Human Services (HHS).
Consulted HHS to design a conference on reproducibility.
Advised the John Oliver show on an episode about scientific reproducibility.
Given advice to DARPA, IARPA, the Department of Veterans Affairs, and the White House Social and Behavioral Sciences Team on rigorous research processes.
Published in top journals (such as Science, Nature, and BMJ) on how to make research more accurate.
He has been a reviewer for Science, Bioinformatics, and BMJ, and served for several years on the executive committee of the Harvard Multi-Regional Clinical Trials Center.
He has a Ph.D. in education policy from the University of Arkansas; a J.D. with honors from Harvard Law School, where he was an editor of the Harvard Law Review; and bachelor’s and master’s degrees from the University of Georgia.
As a Vice President at Arnold Ventures, Stuart funded renowned work showing that scientific research is often irreproducible, including the Reproducibility Projects in Psychology and Cancer Biology. As a grantmaker, he helped launch the Center for Open Science, Vivli, the Meta-Research Innovation Center at Stanford, the Stanford Center for Reproducible Neuroscience, the Yale Collaboration on Research Integrity and Transparency, and the Evidence-Based Medicine DataLab at Oxford. He was instrumental in creating the TOP Guidelines, the world’s most widely-adopted standards for scientific publication. His grantmaking was featured in Wired, the Economist, the New York Times, and the Atlantic, among many others.
The president of the National Academies of Science and Medicine (Marcia McNutt) has said, “I cannot imagine how much progress would have been made in furthering open science without your leadership.”
As well, he has:
Advised the GAO on how to improve federally funded research.
Reviewed research grants on behalf of the U.S. Department of Health and Human Services (HHS).
Consulted HHS to design a conference on reproducibility.
Advised the John Oliver show on an episode about scientific reproducibility.
Given advice to DARPA, IARPA, the Department of Veterans Affairs, and the White House Social and Behavioral Sciences Team on rigorous research processes.
Published in top journals (such as Science, Nature, and BMJ) on how to make research more accurate.
He has been a reviewer for Science, Bioinformatics, and BMJ, and served for several years on the executive committee of the Harvard Multi-Regional Clinical Trials Center.
He has a Ph.D. in education policy from the University of Arkansas; a J.D. with honors from Harvard Law School, where he was an editor of the Harvard Law Review; and bachelor’s and master’s degrees from the University of Georgia.
I am a Professor of Archaeology, and the Director of the interdisciplinary Minor in Data Science. My other local affiliations include the eScience Institute, the Burke Museum, the Center for Statistics and Social Sciences, the Quaternary Research Center, and the Southeast Asia Center.
My main research activities combine models from evolutionary ecology with analyses of archaeological evidence to investigate past human behaviour. Specific interests include hominin dispersals into mainland Southeast Asia, forager technologies and ecology in Australia, mainland Southeast Asia and elsewhere. I analyse how archaeology engages with local and online communities, and with popular culture. I am also interested in techniques and methods for reproducible research and open science. I supervise the Geoarchaeology Laboratory.
About the speaker
Julia Strand is an Associate Professor of Psychology at Carleton College. Her research is on how people perceive spoken language. Julia also writes about open science, meta-science, R, methodology, measurement, and transparency in research. She has served as an Associate Editor at Advances in Methods and Practices in Psychological Science and is on the programming committee for the Society for the Improvement of Psychological Science. Datasets, stimulus materials, code, and teaching materials are available on her Open Science Framework Page. Her open science course, Psychology’s Credibility Revolution, was showcased by the Framework for Reproducible Research Training’s Pedagogies Initiative. Twitter: @juliafstrand
About the speaker
Charlotte earned her PhD in 2016 at Edge Hill University, and is now a Lecturer in Psychology at Aston University. Her research focuses on the affective, motivational and cognitive processes that influence addictive behaviours, as well as how intergroup relations shape how we interact with others. Charlotte is an advocate of open scholarship; she is Aston's Local Network Lead for the UK Reproducibility Network (UKRN), organises the Aston ReproducibiliTEA journal club, and is a member of the Framework for Reproducible Research Training (FORRT). She is an Editor of Registered Reports for the journals Addiction Research & Theory and Peer Community In Registered Reports, and is currently writing her own book: “A Student’s Guide to Open Science: How the Replication Crisis can Reform Psychology”. Twitter: @drcpennington
About the Speaker
Asha Sahni
Asha is Governance Officer and Chair of the Neurodiversity Staff Network at the University of Bristol. She brings over 15 years’ experience in the career guidance field and a deep interest in people and their potential to her work on Reciprocal Mentoring. Asha is deeply committed to equity and has worked with Black, Asian and Minority Ethnic (BAME) networks, forums and initiatives in higher and further education, the NHS and the voluntary sector. She has an ILM Diploma in Management Coaching and Mentoring and an MSc in Creative Writing for Therapeutic Purposes.
About the speaker
Jenny has a PhD in human development and family studies at Iowa State University and is currently a Postdoctoral Fellow at the Waisman Center, University of Wisconsin-Madison. She will be joining the Center for Autism Spectrum Disorders at Children's National Hospital in fall 2022. She also serves on the Department of Health and Human Services' Interagency Autism Coordinating Committee (IACC) as a public member (2021-2024) representing on the committee as an autistic self-advocate, mother, and researcher. Her other appointments/volunteer services include a) Executive Secretary on the Psychology Interest Network at the American Association on Intellectual and Developmental Disabilities and b) Early Career Committee Member on the American Psychological Association Division 33. Jenny is interested in studying the adolescence experience of neurodiverse youths as they transition through puberty and how it relates to mental health, and she is also interested in early puberty and sexual health education strategies and its impact on neurodiverse and gender diverse youths' mental health and relationship with their caregiver. Twitter: @JennyMaiPhanPhD
About the speaker
Flavio is a research associate at Cambridge University’s Social Decision-Making Lab (CSDMLab), Cambridge, UK, and at the Saxony’s Center for Criminological Research (ZFKS), Chemnitz, Germany. His Ph.D. is in Political Science at the Graduate School of Cologne University, a German Excellence Center. His research investigates the role of ideology and identity in justifying social and economic injustices, and he is the principal investigator of The Psychology of Political Behavior Studies (PPBS), an ongoing series of quota-based national cross-sections and panel studies containing a set of repeating core questions on the topics of social and political attitudes, values, voting, and political participation. Flavio also co-created and directs FORRT. Twitter: @Flavio_Azevedo_
Helena Paterson
Helena is a lecturer in the School of Psychology with a responsibility for teaching Research Methods and Social Psychology. He PhD was in the School of Psychology at the University of Glasgow, after which she worked as a Post-Doc for Dr. Frank Pollick on an ESRC funded project before starting a British Academy Fellowship. She has worked in a variety of teaching settings and as a consultant in methodology and data analysis for health-related research projects before returning to the School of Psychology as a lecturer. Her main interest is in dynamic person perception and this includes attribution such as first impressions, emotion perception and measuring attitudes. Additionally, her pedagogical research is related to learning and teaching with technology. Twitter: @PatersonHelena
Phil McAleer
Phil completed his BSc in Psychology (2002) and his PhD (2006) at the University of Glasgow. He then worked on several postdocs investigating intent perception and perceived personality in voices. Since 2012, he’s been a Lecturer at Glasgow, and mainly lectured in Statistics and Research Methods with a strong interest in promoting reproducible practices. (For some teaching material on the PsyTeachR webpages, see: psyteachr.github.io) His research interests cover how people teach, understand, and make use of statistics, mainly in a Higher Education setting, and working to eradicate negative attitudes to statistics, how personality, identity and emotion are portrayed through our voices and the influence this has on those we interact with (such as how lecturers and students talk about statistics). Twitter: @McAleerP
Organised by the RIOT Science Club @riotscienceclub www.riotscienceclub.com
Catherine Odara Hoppers is a Professor Extraordinarious, University of South Africa (UNISA), Gulu University, Uganda. She is a specialist on education, disarmament, peace, and human security. She is the Founder and Director, Global Institute for Applied Governance in Science, Knowledge Systems and Innovations.
Organised by the RIOT Science Club @riotscienceclub www.riotscienceclub.com


