### Bennett Kleinberg I am an Assistant Professor at the [Department of Methodology and Statistics](https://www.tilburguniversity.edu/about/schools/socialsciences/organization/departments/methodology-statistics) at Tilburg University and an Honorary Associate Professor at the [Department of Security and Crime Science](http://www.ucl.ac.uk/jill-dando-institute) at University College London. Previously I've held positions with the [Dawes Centre for Future Crime](http://www.ucl.ac.uk/jill-dando-institute/dawes-future-crime) at University College London and the University of Amsterdam's [Department of Psychology](https://www.uva.nl/en/about-the-uva/organisation/faculties/faculty-of-social-and-behavioural-sciences/disciplines/psychology/psychology.html). --- [Google Scholar](https://scholar.google.nl/citations?user=Ms2d7OsAAAAJ&hl=en) - [GitHub](https://github.com/ben-aaron188) - [TiU research portal](https://research.tilburguniversity.edu/en/persons/bennett-kleinberg/network/) --- #### News - _11/2021_ New paper on a within-subjects study of coping styles and text (and emotion) responses to the pandemic (Scientific Reports: [https://www.nature.com/articles/s41598-021-02414-9](https://www.nature.com/articles/s41598-021-02414-9)) - _10/2021_ NWO is funding our next text anonymization project [press release](https://www.tilburguniversity.edu/current/news/more-news/nwo-subsidizes-three-open-science-research-projects) - _10/2021_ Preprint on experimental manipulations of potential confounds in fake review detection [https://arxiv.org/pdf/2110.15130.pdf](https://arxiv.org/pdf/2110.15130.pdf) - _9/2021_ New paper (EMNLP 2021) on human adversarial machine learning on [arxiv](https://arxiv.org/pdf/2109.04385.pdf) and [ACL anthology](https://aclanthology.org/2021.emnlp-main.651/) - _9/2021_ Talk at the [Deception Society's](https://deceptionresearchsociety.org/) monthly event on [YouTube](https://www.youtube.com/watch?v=TPk3At9qO0M) - _7/2021_ New preprint on a follow-up study to our Real World Worry Dataset study on emotional responses to COVID-19 after one year in the pandemic [here](https://arxiv.org/abs/2107.03466v2) - _7/2021_ We're hiring a PhD student for a project on medical NLP. Contact me if you have questions [https://www.academictransfer.com/en/302673/promov-automated-risk-stratification-for-infectious-complications-in-secondary-immunodeficiency/](https://www.academictransfer.com/en/302673/promov-automated-risk-stratification-for-infectious-complications-in-secondary-immunodeficiency/) - _6/2021_ Our paper on the many analysts problem for text data: [Same data, different conclusions](https://www.sciencedirect.com/science/article/pii/S0749597821000200) - _5/2021_ Our preprint on automated vs manual coding for verbal deception detection [https://psyarxiv.com/cth58/](https://psyarxiv.com/cth58/) - _4/2021_ Special issue open for submissions on NLP and Computational Social Science in _Future Internet_ (fully open access) [https://www.mdpi.com/journal/futureinternet/special_issues/CSS_NLP](https://www.mdpi.com/journal/futureinternet/special_issues/CSS_NLP) - _4/2021_ Our EACL paper on detecting textual adversarial examples is now published in the proceedings [https://www.aclweb.org/anthology/2021.eacl-main.13.pdf](https://www.aclweb.org/anthology/2021.eacl-main.13.pdf) - _3/2021_ Paper in _Behavior Research Methods_ introducing the Grievance dictionary as a tool for computational linguistics [https://link.springer.com/article/10.3758%2Fs13428-021-01536-2](https://link.springer.com/article/10.3758%2Fs13428-021-01536-2) - _3/2021_ New paper on guidelines for text anonymisation [https://arxiv.org/abs/2103.09263](https://arxiv.org/abs/2103.09263) - _2/2021_ UCL policy brief on cryptocurrencies and implications for future crime as [pdf](https://www.ucl.ac.uk/jill-dando-institute/sites/jill-dando-institute/files/ucl_cryptocurrencies_and_future_crime_policy_briefing_feb2021_compressed_1.pdf) - _1/2021_ Our paper on detecting adversarial examples in NLP (led by Max Mozes) will appear at EACL 2021 [pdf here](https://arxiv.org/pdf/2004.05887.pdf) - [ACL version](https://aclanthology.org/2021.eacl-main.13/). - _1/2021_ New paper on hybrid human-machine decision making for deception detection in [Acta Psychologica](https://www.sciencedirect.com/science/article/pii/S0001691820305746) --- #### Research My research interests are between the behavioural (and social) sciences and natural language processing. Some projects are right at the intersection, others lean more to either area. Questions I'm currently interested in and working on: - How can we use text data to study human behaviour and cognition? - How (if at all!) can we use observational online data to _measure_, _predict_ and _change_ behaviour? And how can we (as online users) prevent this? - Which assumptions do we (need to) make when working with text data and are these valid assumptions? - How does the flexibility that we (reseachers) have affect NLP research? - What are the methodological pitfalls of either discipline and how can we fix this? - How can tools/methods of either discipline help the other? - How can we use NLP to ask better questions for deception detection? Other research interests are about applying computational techniques to questions around crime, deception, threat assessment (see the research areas of my PhD students below). I'm also one of the inventors of [Textwash](https://textwash.co.uk/) - an automated, learning-based text anonymisation software and [SAGE Ocean concept grant winner](https://uk.sagepub.com/en-gb/eur/press/sage-ocean-announces-text-wash-as-2019-concept-grant-winner). More on the project soon. In the meantime, some [(more info here)](https://ocean.sagepub.com/concept-grants) and [(interviews on YouTube)](https://www.youtube.com/watch?v=T9pRRn2DrMY). --- #### Research group We're running a research group that consists of core members (current and former PhD students) and thesis/internship/traineeship students. More info on this group via this [link](https://bkleinberg.net/whatever_research/) I have the privilege of supervising these amazing young doctoral researchers for their PhD: - Felix Soldner [(www)](http://fsoldner.net/) - Detecting and mitigating online consumer fraud (supervisors: Shane Johnson/Bennett Kleinberg) - Maximilian Mozes [(www)](http://mmozes.net/) - Adversarial machine learning in natural language processing (supervisors: Lewis Griffin/Bennett Kleinberg) - Daniel Hammocks [(www)](https://danielhammocks.uk/) - Detecting emerging crimes using data science techniques (supervisors: Kate Bowers/Bennett Kleinberg) - Josh Kamps - Computational methods to detecting cryptocurrency crime (supervisors: Bennett Kleinberg/Sarah Meiklejohn) - Arianna Trozze - The evidential chain in cryptocurrency crime (supervisors: Toby Davies/Bennett Kleinberg) **PhD alumni:** - Dr Isabelle van der Vegt [(www)](http://isabellevdv.net/) - Linguistic Threat Assessment: Understanding Targeted Violence through Computational Linguistics (supervisors: Paul Gill/Bennett Kleinberg) - completed in 3/2021 (now project manager at WODC, Dutch Ministry of Security and Justice) --- #### Teaching - 2021/2022 - Introduction to Statistics (BSc, English + Dutch) - Tilburg University - Data Challenge 2 (BSc) - Tilburg University/Eindhoven University of Technology - Crime Science (BSc elective) - University of Amsterdam - 2020/2021 - Introduction to Statistics (BSc, English + Dutch) - Tilburg University - Data Challenge (BSc) - Tilburg University/Eindhoven University of Technology - 2019/2020 - SECU0050, Data Science for Crime Scientists (BSc), UCL, [Material on GitHub](https://github.com/ben-aaron188/UCL_SECU0050) - SECU0057, Applied Data Science (MSc), UCL, [Material on GitHub](https://github.com/ben-aaron188/UCL_SECU0057) - 2018/2019 - SECU0013, Probability, Statistics & Modelling 2 (BSc), UCL, [Material on GitHub](https://github.com/ben-aaron188/ucl_psm2_20182019) - SECU0050, Data Science for Crime Scientists (BSc), UCL, [Material on GitHub](https://github.com/ben-aaron188/ucl_aca_20182019) - Crime Science (BSc honours module), University of Amsterdam [(study guide)](https://www.uva.nl/en/programmes/honours-modules-iis/honoursmodule-crime-science/honoursmodule-crime-science.html?1549646204808) - 2017/2018 - Crime Science [(open UvA module)](https://www.uva.nl/en/programmes/open-programmes-iis/crime-science/crime-science.html), University of Amsterdam - Crime Science (BSc honours module), University of Amsterdam [(study guide)](http://www.studiegids.uva.nl/xmlpages/page/2017-2018-en/search-course/course/40888) - Deception and Lie Detection (MSc), University of Amsterdam [(study guide)](http://www.studiegids.uva.nl/xmlpages/page/2017-2018-en/search-course/course/41168) - 2016/2017 - Deception and Lie Detection (MSc), University of Amsterdam [(study guide)](http://www.studiegids.uva.nl/xmlpages/page/2016-2017-en/search-course/course/28244) - 2015/2016 - Deception and Lie Detection (MSc), University of Amsterdam --- #### Review service EMNLP 2021; ACL 2021; Journal of Applied Research in Memory and Cognition; EMNLP 2020; Trends & Issues in Crime and Criminal Justice; Proceedings of the National Academy of Sciences (PNAS); 54th Hawaii International Conference on System Sciences (HICSS); Scientific Reports (Nature); Psychological Science; Computers in Human Behavior; Plos One; Perspectives on Psychological Science; Affective Computing & Intelligent Interaction conference proceedings; Information; ACL 2020; AACL-IJCNLP 2020; Memory & Cognition; Applied Cognitive Psychology; Crime Science; Acta Psychologica; Personality and Individual Differences; Current Psychology; Cognitive Research: Principles and Implications; EuroCSS 2019; Computers & Security; Psychology, Crime & Law; Legal & Criminological Psychology. --- _This website uses the markdown [retro theme](https://github.com/markdowncss/retro) and a modified markdown-to-html pipeline._ --- If you are interested in working as a research internship (at site or remotely), a BSc/MSc project or discussing PhD options, feel free to [reach out](./sub/contact.html) to me.