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4. Notes

Author

Cook, Jonathan A.

Published
2023

5. Cover

Author

Cook, Jonathan A.

Published
2023

6. Index

Author

Cook, Jonathan A.

Published
2023

11. Preface

Author

Cook, Jonathan A.

Published
2023

22. TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation

Author

Cook, Jonathan, Rocktäschel, Tim, Foerster, Jakob, Aumiller, Dennis, and Wang, Alex

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning
Abstract

Given the widespread adoption and usage of Large Language Models (LLMs), it is crucial to have flexible and interpretable evaluations of their instruction-following ability. Preference judgments between model outputs have become the de facto evaluation standard, despite distilling complex, multi-faceted preferences into a single ranking. Furthermore, as human annotation is slow and costly, LLMs are increasingly used to make these judgments, at the expense of reliability and interpretability. In this work, we propose TICK (Targeted Instruct-evaluation with ChecKlists), a fully automated, interpretable evaluation protocol that structures evaluations with LLM-generated, instruction-specific checklists. We first show that, given an instruction, LLMs can reliably produce high-quality, tailored evaluation checklists that decompose the instruction into a series of YES/NO questions. Each question asks whether a candidate response meets a specific requirement of the instruction. We demonstrate that using TICK leads to a significant increase (46.4% $\to$ 52.2%) in the frequency of exact agreements between LLM judgements and human preferences, as compared to having an LLM directly score an output. We then show that STICK (Self-TICK) can be used to improve generation quality across multiple benchmarks via self-refinement and Best-of-N selection. STICK self-refinement on LiveBench reasoning tasks leads to an absolute gain of $+$7.8%, whilst Best-of-N selection with STICK attains $+$6.3% absolute improvement on the real-world instruction dataset, WildBench. In light of this, structured, multi-faceted self-improvement is shown to be a promising way to further advance LLM capabilities. Finally, by providing LLM-generated checklists to human evaluators tasked with directly scoring LLM responses to WildBench instructions, we notably increase inter-annotator agreement (0.194 $\to$ 0.256).

Published
2024

23. Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning

Author

Cook, Jonathan, Lu, Chris, Hughes, Edward, Leibo, Joel Z., and Foerster, Jakob

Subjects
Computer Science - Artificial Intelligence
Abstract

Cultural accumulation drives the open-ended and diverse progress in capabilities spanning human history. It builds an expanding body of knowledge and skills by combining individual exploration with inter-generational information transmission. Despite its widespread success among humans, the capacity for artificial learning agents to accumulate culture remains under-explored. In particular, approaches to reinforcement learning typically strive for improvements over only a single lifetime. Generational algorithms that do exist fail to capture the open-ended, emergent nature of cultural accumulation, which allows individuals to trade-off innovation and imitation. Building on the previously demonstrated ability for reinforcement learning agents to perform social learning, we find that training setups which balance this with independent learning give rise to cultural accumulation. These accumulating agents outperform those trained for a single lifetime with the same cumulative experience. We explore this accumulation by constructing two models under two distinct notions of a generation: episodic generations, in which accumulation occurs via in-context learning and train-time generations, in which accumulation occurs via in-weights learning. In-context and in-weights cultural accumulation can be interpreted as analogous to knowledge and skill accumulation, respectively. To the best of our knowledge, this work is the first to present general models that achieve emergent cultural accumulation in reinforcement learning, opening up new avenues towards more open-ended learning systems, as well as presenting new opportunities for modelling human culture.

Published
2024

24. Cryptanalysis of the SIMON Cypher Using Neo4j

Author

Cook, Jonathan, Rehman, Sabih ur, and Khan, M. Arif

Subjects
Computer Science - Cryptography and Security, Computer Science - Data Structures and Algorithms, Computer Science - Information Retrieval
Abstract

The exponential growth in the number of Internet of Things (IoT) devices has seen the introduction of several Lightweight Encryption Algorithms (LEA). While LEAs are designed to enhance the integrity, privacy and security of data collected and transmitted by IoT devices, it is hazardous to assume that all LEAs are secure and exhibit similar levels of protection. To improve encryption strength, cryptanalysts and algorithm designers routinely probe LEAs using various cryptanalysis techniques to identify vulnerabilities and limitations of LEAs. Despite recent improvements in the efficiency of cryptanalysis utilising heuristic methods and a Partial Difference Distribution Table (PDDT), the process remains inefficient, with the random nature of the heuristic inhibiting reproducible results. However, the use of a PDDT presents opportunities to identify relationships between differentials utilising knowledge graphs, leading to the identification of efficient paths throughout the PDDT. This paper introduces the novel use of knowledge graphs to identify intricate relationships between differentials in the SIMON LEA, allowing for the identification of optimal paths throughout the differentials, and increasing the effectiveness of the differential security analyses of SIMON., Comment: J. Cook, S. u. Rehman and M. A. Khan, "Cryptanalysis of the SIMON Cypher Using Neo4j," 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET, Sydney, Australia, 2024, pp. 1-6, doi: 10.1109/ICECET61485.2024.10698687. 979-8-3503-9591-4/24/$31.00 \c{opyright}2024 IEEE https://ieeexplore.ieee.org/document/10698687

Published
2024
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25. Lightweight Cryptanalysis of IoT Encryption Algorithms : Is Quota Sampling the Answer?

Author

Cook, Jonathan, Rehman, Sabih ur, and Khan, M. Arif

Subjects
Computer Science - Cryptography and Security
Abstract

Rapid growth in the number of small sensor devices known as the Internet of Things (IoT) has seen the development of lightweight encryption algorithms. Two well-known lightweight algorithms are SIMON and SIMECK which have been specifically designed for use on resource-constrained IoT devices. These lightweight encryption algorithms are based on the efficient Feistel block structure which is known to exhibit vulnerabilities to differential cryptanalysis. Consequently, it is necessary to test these algorithms for resilience against such attacks. While existing state-of-the-art research has demonstrated novel heuristic methods of differential cryptanalysis that improve time efficiency on previous techniques, the large state sizes of these encryption algorithms inhibit cryptanalysis time efficiency. In this paper, we introduce Versatile Investigative Sampling Technique for Advanced Cryptanalysis (VISTA-CRYPT) - a time-efficient enhancement of differential cryptanalysis of lightweight encryption algorithms. The proposed technique introduces a simple framework of quota sampling that produces state-of-the-art results with time reductions of up to $76\%$ over existing techniques. Further, we present a preliminary graph-based analysis of the output differentials for the identification of relationships within the data and future research opportunities to further enhance the performance of differential cryptanalysis. The code designed for this work and associated datasets will be available at https://github.com/johncook1979/simon-cryptanalysis., Comment: 24 pages, 21 figures, 7 tables

Published
2024
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29. JaxMARL: Multi-Agent RL Environments and Algorithms in JAX

Author

Rutherford, Alexander, Ellis, Benjamin, Gallici, Matteo, Cook, Jonathan, Lupu, Andrei, Ingvarsson, Gardar, Willi, Timon, Hammond, Ravi, Khan, Akbir, de Witt, Christian Schroeder, Souly, Alexandra, Bandyopadhyay, Saptarashmi, Samvelyan, Mikayel, Jiang, Minqi, Lange, Robert Tjarko, Whiteson, Shimon, Lacerda, Bruno, Hawes, Nick, Rocktaschel, Tim, Lu, Chris, and Foerster, Jakob Nicolaus

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Multiagent Systems
Abstract

Benchmarks are crucial in the development of machine learning algorithms, with available environments significantly influencing reinforcement learning (RL) research. Traditionally, RL environments run on the CPU, which limits their scalability with typical academic compute. However, recent advancements in JAX have enabled the wider use of hardware acceleration, enabling massively parallel RL training pipelines and environments. While this has been successfully applied to single-agent RL, it has not yet been widely adopted for multi-agent scenarios. In this paper, we present JaxMARL, the first open-source, Python-based library that combines GPU-enabled efficiency with support for a large number of commonly used MARL environments and popular baseline algorithms. Our experiments show that, in terms of wall clock time, our JAX-based training pipeline is around 14 times faster than existing approaches, and up to 12500x when multiple training runs are vectorized. This enables efficient and thorough evaluations, potentially alleviating the evaluation crisis in the field. We also introduce and benchmark SMAX, a JAX-based approximate reimplementation of the popular StarCraft Multi-Agent Challenge, which removes the need to run the StarCraft II game engine. This not only enables GPU acceleration, but also provides a more flexible MARL environment, unlocking the potential for self-play, meta-learning, and other future applications in MARL. The code is available at https://github.com/flairox/jaxmarl.

Published
2023

30. Security and Privacy for Low Power IoT Devices on 5G and Beyond Networks: Challenges and Future Directions

Author

Cook, Jonathan, Rehman, Sabih ur, and Khan, M. Arif

Subjects
Computer Science - Cryptography and Security
Abstract

The growth in the use of small sensor devices, commonly known as the Internet of Things (IoT), has resulted in unprecedented amounts of data being generated and captured. With the rapidly growing popularity of personal IoT devices, the collection of personal data through such devices has also increased exponentially. To accommodate the anticipated growth in connected devices, researchers are now investigating futuristic network technologies that are capable of processing large volumes of information at much faster speeds. However, the introduction of innovative network technologies coupled with existing vulnerabilities of personal IoT devices and insufficient device security standards is resulting in new challenges for the security of data collected on these devices. While existing research has focused on the technical aspects of security vulnerabilities and solutions in either network or IoT technologies separately, this paper thoroughly investigates common aspects impacting IoT security on existing and futuristic networks, including human-centric issues and the mechanisms that can lead to loss of confidentiality. By undertaking a comprehensive literature review of existing research, this article has identified five key areas that impact IoT security for futuristic next generation networks. Furthermore, by extensively analysing each area, the article reports on conclusive findings and future research opportunities for IoT privacy and security for the next generation of network technologies., Comment: 28 pages, 5 figures

Published
2023

32. SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning

Author

Ellis, Benjamin, Cook, Jonathan, Moalla, Skander, Samvelyan, Mikayel, Sun, Mingfei, Mahajan, Anuj, Foerster, Jakob N., and Whiteson, Shimon

Subjects
Computer Science - Machine Learning, Computer Science - Multiagent Systems
Abstract

The availability of challenging benchmarks has played a key role in the recent progress of machine learning. In cooperative multi-agent reinforcement learning, the StarCraft Multi-Agent Challenge (SMAC) has become a popular testbed for centralised training with decentralised execution. However, after years of sustained improvement on SMAC, algorithms now achieve near-perfect performance. In this work, we conduct new analysis demonstrating that SMAC lacks the stochasticity and partial observability to require complex *closed-loop* policies. In particular, we show that an *open-loop* policy conditioned only on the timestep can achieve non-trivial win rates for many SMAC scenarios. To address this limitation, we introduce SMACv2, a new version of the benchmark where scenarios are procedurally generated and require agents to generalise to previously unseen settings (from the same distribution) during evaluation. We also introduce the extended partial observability challenge (EPO), which augments SMACv2 to ensure meaningful partial observability. We show that these changes ensure the benchmark requires the use of *closed-loop* policies. We evaluate state-of-the-art algorithms on SMACv2 and show that it presents significant challenges not present in the original benchmark. Our analysis illustrates that SMACv2 addresses the discovered deficiencies of SMAC and can help benchmark the next generation of MARL methods. Videos of training are available at https://sites.google.com/view/smacv2.

Published
2022

33. BBC Interview With Hamas Deputy Chief Is a Case Study in State Propaganda

Author

Cook, Jonathan

Subjects
Palestinian Arabs -- Case studies, Israel-Arab conflicts -- Case studies, Propaganda -- Case studies, International relations
Abstract

The BBC no longer bothers to hide the fact that its news service acts as nothing more than the British state's willing propaganda channel. Last night on the 'News at [...]

Published
2024

35. Risk Stratification in Older Intensively Treated Patients With AML

Author

Versluis, Jurjen, Metzner, Marlen, Wang, Ariel, Gradowska, Patrycja, Thomas, Abin, Jakobsen, Niels Asger, Kennedy, Alison, Moore, Rachel, Boertjes, Emma, Vonk, Christian M., Kavelaars, Francois G., Rijken, Melissa, Gilkes, Amanda, Schwab, Claire, Beverloo, H. Berna, Manz, Markus, Visser, Otto, Van Elssen, Catharina H.M.J., de Weerdt, Okke, Tick, Lidwine W., Biemond, Bart J., Vekemans, Marie-Christiane, Freeman, Sylvie D., Harrison, Christine J., Cook, Jonathan A., Dennis, Mike, Knapper, Steven, Thomas, Ian, Craddock, Charles, Ossenkoppele, Gert J., Löwenberg, Bob, Russell, Nigel, Valk, Peter J.M., and Vyas, Paresh

Published
2024
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37. Describing the landscape of nutrition- and diet-related randomized controlled trials: metaresearch study of protocols published between 2012 and 2022

Author

Silva, Flávia Moraes, Amorim Adegboye, Amanda Rodrigues, Naude, Celeste, Curioni, Cintia, Gomes, Fabio S, Collins, Gary S, Kac, Gilberto, Anne de Beyer, Jennifer, Cook, Jonathan, Ismail, Leila Cheikh, Page, Matthew J, Khandpur, Neha, Lamb, Sallie, Hopewell, Sally, Saleh, Shaima, Kirtley, Shona, Bernardes, Simone, Durão, Solange, Vorland, Colby J, and Schlussel, Michael Maia

Published
2025
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38. The Day the West Defined 'Success' as a Massacre of 270 Palestinians

Author

Cook, Jonathan

Subjects
Palestinian Arabs, Massacres, International relations
Abstract

Israel hasn't just crossed the Biden administration's pretend 'red lines' in Gaza. With its massacre at Nuseirat refugee camp on June 8, Israel drove a bulldozer through them. That day, [...]

Published
2024

39. Microbiology testing capacity and antimicrobial drug resistance in surgical-site infections: a post-hoc, prospective, secondary analysis of the FALCON randomised trial in seven low-income and middle-income countries

Author

Aboderin, Aaron Oladipo, Amfoabegyi, Solomon, Awopeju, Abimbola Temitayo, Bahrami-Hessari, Michael, Garchie, Emmanuel Isaac Acquah, Gill, Martin, Karikari, Akosua, Kirby, Andrew, Makanjuola, Olufunmilola, Mutiu, Bamidele, Offiong, Anthony Bassey, Oshun, Philip Olayiwola, Osumanu, Hisham Alhassan, Owusu-Ofori, Alex, Varghese, Shereen Rachel, Adam-Zakariah, Leslie Issa, Adebanjo, Ademola Tolulope, Aguirre, Celina Cuellar, Akoto, Erica, Aminu, Aliyu, Armah, Ralph, Aruldas, Neerav David, Choudhrie, Ashish V, Coompson, Christian Larbi, Ekwunife, Okechukwu Hyginus, Fourtounas, Maria, Lawani, Souliath, Mathew, Arpit Jacob, Patel, Akhil, Ademuyiwa, Adesoji O, Hardy, Pollyanna, Runigamugabo, Emmy, Sodonougbo, Pierre, Behanzin, Hulrich, Kangni, Sosthène, Agboton, Gérard, Adagrah, Luke Aniakwo, Adjei-Acquah, Esther, Acquah, Ato Oppong, Ankomah, James, Acquah, Regina, Addo, Kwame Gyambibi, Acheampong, Dorcas Otuo, Adu-Aryee, Nii Armah, Abubakari, Fatao, Titigah, Abraham, Owusu, Frank, Adu-Brobbey, Raphael, Adobea, Vivian, Abantanga, Francis Atindaana, Gautham, Arun, Bhatti, Dimple, Jesudason, Esther Daniel Mark, Aggarwal, Manisha, Alexander, Philip, Dasari, Amos, Alpheus, Rahul, Kumar, Hemanth, Raul, Subrat, Bueno, Wenceslao Ángeles, Ortiz, Reyes Cervantes, Gomez, Isaac Baltazar, Cerdan, Claudia Caballero, Gallo, Mariana Barreto, Gamez, Rozana Reyes, Sánchez, Irani Durán, Abdullahi, Lawal, Adesanya, Opeoluwa, Abdulsalam, Moruf, Adeleye, Victoria, Egwuonwu, Ochomma, Adeleke, Akeem, Adebayo, Francis, Chiejina, Godwin, Abayomi, Olukayode, Abdur-Rahman, Lukman, Ede, Jude, Ezinne, Uba, Kanyarukiko, Salathiel, Dusabe, Moses, Hirwa, Aime Dieudonne, Bucyibaruta, Georges, Adams, Mary Augusta, Birtles, Cheryl, Ally, Zain, Adewunmi, Abdus-sami, Cook, Jonathan, Brown, Julia, Adisa, Adewale O, Ismail, Lawani, Bhangu, Aneel, Omar, Omar, Simoes, Joana FF, Li, Elizabeth, Chaudhry, Daoud, Saeed, Samerah, Spurring, Eleanor Margaret, Verjee, Azmina, Assouto, Pamphile, Seto, Djifid Morel, Kpangon, Cyrile, Ahossi, Rene, Alhassan, Bin Baaba Alhaji, Agyekum, Vera, Assah-Adjei, Frank, Asare, Christopher, Amoako, James, Akosa, Enoch Appiah, Acquaye, Jane, Adjei, Faisal, Ballu, Cletus, Bennin, Amos, Abdulai, Darling Ramatu, Hepzibah, Alice, Bhatti, William, Paul, Priyadarshini K, Dhamija, Parth, Thomas, Josy, Jacob, Priya, Choudhrie, Ashish, Peters, Nitin, Sharma, Rajeev, Camacho, Francisco Barbosa, Gonzalez, Gonzalo Hernandez, Solano, David Dominguez, Flores, Ana Cortes, Menindez, Roque Lincona, Vazquez, Diana Gonzalez, Ado, Khadija, Awonuga, David, Adeniran, Abimbola, Ademuyiwa, Adesoji, Ekwunife, Okechukwu, Adenikinju, Wilson, Aisuodionoe-Shadrach, Oseremen, Edet, Ekpo, Abdus-Salam, Rukiyat, Adeleke, Nurudeen, Ekenze, Sebastian, Francis, Matthew, Mukaneza, Francine, Izabiriza, Emelyne, Kabanda, Elysee, Bunogerane, Gisele Juru, Crawford, Richard, Ivy, Mathete, Jayne, David, Cousens, Simon, Chakrabortee, Sohini, Ghosh, Dhruva, Gyamfi, Frank Enoch, Brant, Felicity, Fiogbe, Michel, Tandje, Yannick, Akpla, Marcelin, Ngabo, Raoul Baderha, Amoako-Boateng, Mabel Pokuah, Agyemang, Eric, Asabre, Esther, Boakye, Anthony Appiah, Gakpetor, Delali Akosua, Appiah, Akosua Dwamena, Boakye, Percy, Adinku, Michael, Barimah, Charles Gyamfi, Labaran, Abdul-Hamid, Dankwah, Fred, Acquah, Daniel Kwesi, Mary, Grace, Bir, Karan, Madankumar, Latha, Gupta, Himani, Zechariah, Pradeep, Kurien, Elizabeth, Vakil, Rakesh, Hernández, Aldo Bernal, Krauss, Rosa Hernandez, Avendaño, Alejandro Cuevas, Garcia, Rafael Toriz, Ojeda, Alejandro Gonzalez, Peón, Alberto Navarrete, Lara, Maria Martínez, Aliyu, Mohammed, Fasiku, Olushola, Ajai, Olalekan, Adeniyi, Oluwafunmilayo, Modekwe, Victor, Adeniyi, Olumide, Akaba, Godwin, Inyang, Akan, Adebayo, Sikiru, Adesola, Muideen, Enemuo, Vincent, Ikechukwu, Iweha, Mukantibaziyaremye, Deborah, Maniraguha, Hope Lydia, Mbonimpaye, Salomee, Habumuremyi, Sosthene, Ede, Chikwendu Jeffrey, Mbavhalelo, Cynthia, Laurberg, Soren, Smart, Neil, de la Medina, Antonio Ramos, Brocklehurst, Peter, Koco, Houenoukpo, Chobli, Hugues Herve, Bisimwa, Nathan, Appiah, Anthony Baffour, Akesseh, Rebecca Adjeibah, Boateng, Ruby Acheampong, Fosu, Godfred, Gawu, Victoria Sena, Aseti, Mark, Agbedinu, Kwabena, Ametefe, Elikem, Boateng, Guy Casskey, Owusu, Junior Atta, Doe, Stanley, Ayingayure, Emmanuel, Singh, Deepak, Daniel, Swati, Mittal, Rohin, Kanna, Vinoth, Mathew, Arpit, Arellano, Ana Bogurin, Miguelena, Luis Hernández, Sansores, Luis Dominguez, Velasco, Monica Jimenez, Muñoz, Maria Paz, Perez-Maldonado, Laura Martinez, Anyanwu, Lofty-John, Ogo, Chidiebere, Akande, Olukemi, Akinajo, Opeyemi, Okoro, Chukwuemeka, Adepiti, Akinfolarin, Ameh, Lazarus, Isa, Mary, Ajao, Akinlabi, Afolabi, Rafiat, Eze, Matthew, Nnyonno, Okoi, Munyaneza, Aphrodis, Mpirimbanyi, Christophe, Mukakomite, Christine, Haragirimana, Jean de Dieu, Moore, Rachel, Metchinhoungbe, Serge, Kovohouande, Blaise, Kandokponou, Covalic Melic Bokossa, Asante-Asamani, Alvin, Amponsah-Manu, Forster, Koomson, Barbara, Serbeh, Godwin, Obbeng, Ambe, Banka, Charles, Gyamfi, Brian, Agbeko, Anita Eseenam, Amoako, Joachim Kwaku, Luri, Prosper Tonwisi, Kantanka, Ruth Sarfo, Osman, Imoro, Dhar, Tapasya, Nagomy, Ida, Kumar, Ashwani, Prakash, Danita, Torres, Edgar Cortes, Romero, Marco Hurtado, Mejia, Hector Ortiz, de la Fuente, Alejandra Nayen Sainz, Magashi, Mahmoud, Atobatele, Kazeem, Akinboyewa, David, Uche, Chisom, Aderounmu, Adewale, Mbajiekwe, Ndubuisi, Iseh, Faith, Amusat, Olanrewaju, Agodirin, Sulaiman, Ezomike, Uchechukwu, Okoro, Philemon, Ndegamiye, Gibert, Mutuyimana, Josiane, Muroruhirwe, Piolette, Imanishimwe, Alphonsine, Hyman, Gabriella, Ntirenganya, Faustin, Sogbo, Hodonou, Dokponou, Mireille, Boakye, Benedict, Ofosu-Akromah, Richard, Kusiwaa, Ataa, Gyan, Kofi Yeboah, Ofosuhene, Doris, Dadzie, Samuel, Kontor, Bismark Effah, Amankwa, Emmanuel Gyimah, Attepor, Godsway Solomon, Kobby, Ephraim, Kunfah, Sheba, Dhiman, Jyoti, Selvakumar, Rajesh, Singh, Gurtaj, Susan, Anju, Orozco, Clotilde Fuentes, del Campo, Laura Urdapilleta Gomez, de la Medina, Antonio Ramos De, Muhammad, Abubakar, Eke, Grace, Alasi, Iyabo, Ugwuanyi, Kenneth, Adesunkanmi, Abdulhafiz, Ogbo, Felix, Marwa, Adams, Ayandipo, Omobolaji, Aremu, Isiaka, Izuka, Emmanuel, Patrick, Igwe, Tubasiime, Ronald, Mwenedata, Olivier, Ingabire, JC Allen, Khan, Zafar, Harrison, Ewen, Tabiri, Stephen, Glasbey, James, Dossou, Francis Moïse, Debrah, Samuel A, Enti, Donald, Twerefour, Emmanuel Yaw, Nyarko, Isaac Omane, Osei-Poku, Dorcas, Essien, Derick, Kyeremeh, Christian, Amoah, Michael, Brown, George Darko, Larnyor, Kennedy Kofi Korankye-Hanson, Limann, Gbana, Shankar, Bharat, Varghese, Rose, de Rojas, Erick González García, Muhammad, Saminu, Faboya, Omolara, Alakaloko, Felix, Ugwunne, Chuka, Adisa, Adewale, Olori, Samson, Ogbeche, Sunday, Egbuchulem, Kelvin, Bello, Jibril, Mbadiwe, Okezie, Raphael, John, Rwagahirima, Elisee, Mukanyange, Violette, Kwati, Morapedi, Dzemta, Corinne, Ganiyu, Rahman Adebisi, Robertson, Zelda, Puozaa, Diana, Manu, Ruth, Amoah, George, Fenu, Benjamin, Osei, Edwin, Mohammed, Shamudeen Alhassan, Goyal, Sunita, Sivakumar, Moonish, Muideen, Bello, Imam, Zainab, Atoyebi, Oluwole, Ajekwu, Samuel, Osagie, Olabisi, Olory, Edima, Ekwuazi, Hyginus, Lawal, Saheed, Mbah, Ngozi, Vaduneme, Oriji, Uwizeyimana, Francine, Munyaneza, Emmanuel, Mathe, Mpho Nosipho, Haque, Parvez D, Gaou, Antoine, Koggoh, Patience, Tackie, Enoch, Hussey, Romeo, Mensah, Elijah, Appiah, Juliana, Kumassah, Philemon Kwame, Owusu, Prince Yeboah, Mohammed, Sheriff, Goyal, Ankush, Sridhar, Rajeevan, Ramírez, Bertha Guzmán, Takai, Idris, Momson, Esther, Balogun, Olanrewaju, Ajenjfuja, Olusegun, Sadiq, Abu, Udie, Gabriel, Elemile, Peter, Lawal, Abdulwahab, Victor, Abhulimen, Zirikana, Job, Mutabazi, Emmanuel, Heritage, Emily, Goudou, Roland, Kpankpari, Richard, Temitope, Arkorful Ebenezer, Kwarteng, Jemima, Solae, Friko Ibrahim, Arthur, Joshua, Olayiwola, David Olatayo, Sie-Broni, Clement Ayum, Musah, Yakubu, Thomas, Cecil, Valadez, Michel Hernández Valadez, Ukata, Onyekachi, Nwaenyi, Francisca, Belie, Orimisan, Akindojutimi, Jerrie, Sani, Samuel, Udosen, Joseph, Lawal, Taiwo, Raji, Hadijat, Ncogoza, Isaie, Nhlabathi, Ncamsile Anthea, Hedefoun, Emmanuel, Opandoh, Isabella Naa M., Sowah, Naa Anyekaa, Toffah, Gideon Kwasi, Ayim, Alex, Wordui, Theodore, Zume, Marshall, Ofori, Bernard, Hans, Monika, Titus, Devabalan, Acevedo, Diego Luna, Ogunyemi, Ayokunle, Bode, Christopher, Akinkuolie, Akinbolaji, Tabuanu, Nancy, Usang, Usang, Lawal, Olatunji, Sayomi, Olayinka, Nxumalo, Hlengiwe Samkelisiwe, Kroese, Karolin, Houtoukpe, Sunday, Manu, Meshach Agyemang, Yeboah, Grace, Ayodeji, Emmanuel Kafui, Agboadoh, Nelson, Owusu, Emmanuel Abem, Haque, Parvez, Galaviz, Rubén Morán, Oludara, Mobolaji, Ekwesianya, Andrew, Alatise, Olusegun, Uanikhoba, Martins, Olagunju, Solomon, Shittu, Asimiyu, Nyirahabimana, Jeannette, Pattinson, Paddy, Lillywhite, Rachel, Lapitan, Carmela, Kamga, Felix, Manu, Maison Patrick Opoku, Yeboah, Cynthia, Boakye-Yiadom, Jonathan, Saba, Abdul-Hafiz, Konda, Samuel, Flores, Oscar Olvera, Omisanjo, Olufunmilade, Elebute, Olumide, Allen, Olubukola, Osuala, Peter, Urimubabo, Christian, Sentholang, Nnosa, Kiki-Migan, Eric, Mensah, Samuel, Boateng, Edward Amoah, Seidu, Anwar Sadat, Luther, Anil, Navarro, José Pérez, Oshodi, Olabode, Ezenwankwo, Francis, Amosu, Lukmon, Suleman, Bamidele, Sethoana, Mmule Evelyn, Lissauer, David, Morna, Martin Tangnaa, Dally, Charles, Mahajan, Amit, Belmontes, Kevin Pintor, Oshodi, Yusuf, Fatuga, Adedeji, Archibong, Micheal, Takure, Augustine, Stassen, Maria Elizabeth, Magill, Laura, Lawani, Ismaïl, Nkrumah, John, Davor, Anthony, Yakubu, Mustapha, Makkar, Shalini, Marbello, Fernando Ramirez, Oyewole, Yemisi, Ihediwa, George, Arowolo, Olukayode, Thornley, Laura, Morton, Dion, Loko, René, Nortey, Michael, Gyasi-Sarpong, Christian Kofi, Yenli, Edwin Mwintiereh Ta-ang, Mandrelle, Kavita, Ramírez-González, Luis, Salami, Omotade, Jimoh, Adesola, Ayantona, Deborah, Wondoh, Paul, Nepogodiev, Dmitri, Mistry, Punam, Moutaïrou, Afissatou, Ofori, Emmanuel Owusu, Hamidu, Naabo Nuhu Noel, Michael, Vishal, Aguirre, Laura Reyes, Williams, Omolara, Kuku, Jubril, Ayinde, Ademola, Monahan, Mark, Ogouyemi, Pencome, Quartson, Elizaberth Mercy Quartson, Haruna, Iddrisu, Mukherjee, Partho, García, Ramona Rojas, Ladipo-Ajayi, Oluwaseun, Badejoko, Olusegun, Soumanou, Fouad, Kwarley, Naa, Rajappa, Reuben, Robles, Eduardo Valtierra, Makanjuola, Ayomide, Badmus, Tajudeen, Smith, Donna, Tamadaho, Pia, Lovi, Agbenya Kobla, Singh, Prashant, Mokwenyei, Olayanju, Etonyeaku, Amarachukwu, Zounon, Mack-Arthur, Nimako, Boateng, Suroy, Atul, Nwokocha, Samuel, Igbodike, Emeka, Nyadu, Bertina Beauty, Thind, Ravinder, Ogein, Olubunmi, Ijarotimi, Omotade, Opoku, Dominic, Thomas, Alen, Ojewola, Rufus, Lawal, Adedayo, Pinkney, Thomas, Osabutey, Anita, Tuli, Arti, Oladimeji, Abraham, Nana, Fayowole, Roberts, Tracy, Sagoe, Robert, Veetil, Sreejith, Olajide, Thomas, Oduanafolabi, Tunde, Tuffour, Samuel, Oluseye, Oluwaseun, Olasehinde, Olalekan, Tufour, Yaa, Seyi-Olajide, Justina, Olayemi, Olaniyi, Winkles, Neil, Yamoah, Francis Akwaw, Soibi-Harry, Adaiah, Omitinde, Stephen, Yefieye, Abiboye Cheduko, Ugwu, Aloy, Oni, Owolabi, Yorke, Joseph, Williams, Emmanuel, Onyeze, Chigozie, Orji, Ernest, Rotimi, Adewale, Salako, Abdulkadir, Solaja, Olufemi, Sowemimo, Oluwaseun, Talabi, Ademola, Tajudeen, Mohammed, and Wuraola, Funmilola

Published
2024
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42. Reporting completeness of nutrition and diet-related randomised controlled trials protocols

Author

Silva, Flávia Moraes, Amorim Adegboye, Amanda Rodrigues, Curioni, Cintia, Gomes, Fabio, Collins, Gary S., Kac, Gilberto, Cook, Jonathan, Ismail, Leila Cheikh, Page, Matthew J., Khandpur, Neha, Lamb, Sarah, Hopewell, Sally, Saleh, Shaima, Kirtley, Shona, Bernardes, Simone, Durão, Solange, Vorland, Colby J., Lima, Júlia, Rebelo, Fernanda, Cunha Figueiredo, Amanda C., Braga Tibaes, Jenneffer Rayane, Tavares, Marina, da Silva Fink, Jaqueline, Maia de Sousa, Taciana, Chester-Jones, Mae, Bi, Dongquan, Naude, Celeste, and Schlussel, Michael

Published
2024
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43. Psychological Science in the Wake of COVID-19: Social, Methodological, and Metascientific Considerations.

Author

Rosenfeld, Daniel L, Balcetis, Emily, Bastian, Brock, Berkman, Elliot T, Bosson, Jennifer K, Brannon, Tiffany N, Burrow, Anthony L, Cameron, C Daryl, Chen, Serena, Cook, Jonathan E, Crandall, Christian, Davidai, Shai, Dhont, Kristof, Eastwick, Paul W, Gaither, Sarah E, Gangestad, Steven W, Gilovich, Thomas, Gray, Kurt, Haines, Elizabeth L, Haselton, Martie G, Haslam, Nick, Hodson, Gordon, Hogg, Michael A, Hornsey, Matthew J, Huo, Yuen J, Joel, Samantha, Kachanoff, Frank J, Kraft-Todd, Gordon, Leary, Mark R, Ledgerwood, Alison, Lee, Randy T, Loughnan, Steve, MacInnis, Cara C, Mann, Traci, Murray, Damian R, Parkinson, Carolyn, Pérez, Efrén O, Pyszczynski, Tom, Ratner, Kaylin, Rothgerber, Hank, Rounds, James D, Schaller, Mark, Silver, Roxane Cohen, Spellman, Barbara A, Strohminger, Nina, Swim, Janet K, Thoemmes, Felix, Urganci, Betul, Vandello, Joseph A, Volz, Sarah, Zayas, Vivian, and Tomiyama, A Janet

Subjects
Humans, Pandemics, COVID-19, SARS-CoV-2, large-scale collaboration, metascience, Mental Health, Good Health and Well Being, Psychology, Cognitive Sciences, Social Psychology
Abstract

The COVID-19 pandemic has extensively changed the state of psychological science from what research questions psychologists can ask to which methodologies psychologists can use to investigate them. In this article, we offer a perspective on how to optimize new research in the pandemic's wake. Because this pandemic is inherently a social phenomenon-an event that hinges on human-to-human contact-we focus on socially relevant subfields of psychology. We highlight specific psychological phenomena that have likely shifted as a result of the pandemic and discuss theoretical, methodological, and practical considerations of conducting research on these phenomena. After this discussion, we evaluate metascientific issues that have been amplified by the pandemic. We aim to demonstrate how theoretically grounded views on the COVID-19 pandemic can help make psychological science stronger-not weaker-in its wake.

Published
2022

44. WHY THE FATES OF GAZA AND JULIAN ASSANGE ARE SEALED TOGETHER

Author

Cook, Jonathan

Subjects
War crimes -- Reports, Political science
Abstract

Two legal cases posing globe-spanning threats to our most basic freedoms unfolded separately in the United Kingdom and the Netherlands at the end of February. Neither received more than perfunctory [...]

Published
2024

50. Ritual Commerce

Author

Cook, Jonathan, Róna, Peter, Series Editor, Zsolnai, László, Series Editor, Alford, Helen, Editorial Board Member, Bouckaert, Luk, Editorial Board Member, Bruni, Luigino, Editorial Board Member, Enderle, Georges, Editorial Board Member, Hoevel, Carlos, Editorial Board Member, Loughlin, John, Editorial Board Member, Miller, David W., Editorial Board Member, Mukherjee, Sanjoy, Editorial Board Member, Thompson, Mike, Editorial Board Member, Verstraeten, Johan, Editorial Board Member, Zamagni, Stefano, Editorial Board Member, and Thate, Michael, editor

Published
2023
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