Hate Crime After Brexit: Linking Terrestrial and New Forms of Data to Inform Governance
英国脱欧后的仇恨犯罪:将地面数据和新形式的数据联系起来为治理提供信息
基本信息
- 批准号:ES/S006168/1
- 负责人:
- 金额:$ 25.79万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2019
- 资助国家:英国
- 起止时间:2019 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Crown Prosecution Service defines hate crime as any criminal offence which is perceived to be motivated by hostility or prejudice based on a person's race, religion, disability, sexual orientation or transgender identity, with crimes based on xenophobia being recorded by the police as race or religious hostility. The Home Office (2017) shows there were 80,393 hate crime offences recorded in 2016/17, compared with 62,518 the year before, a 29 per cent increase. Crime Survey for England and Wales estimates, arguably a more reliable measure of hate crime victimisation due to their insensitivity to changes in police training/recording practices, show that hate crime, along with general crime, decreased between 2008 and 2015, before turning to show an increase in race and religious hate crime from 112,000 to 117,000 crimes (5 per cent) between 13/15 and 15/17. This is a significant turning point, as it reflects the first rise in hate crime recorded by the Survey in 10 years, while almost all other forms of crime continue to fall. While the increase in police recorded crime can be partially attributed to greater reporting, the Home Office report is unequivocal in detailing a genuine rise in hate crime, particularly around the EU Referendum. Research has also shown the changing nature of hate crime post-Brexit vote, with increases in the targeting of victims from mainland Europe (including non-Eastern Europeans), in new ways (e.g. 'gamification' of hate crime - 'Punish a Muslim Day', and online offences), with new consequences (e.g. leaving England and Wales for Scotland and other European countries) (Burnett 2017, Chakraborti 2017, Rzepnikowska 2018). The reported stark increase in prevalence and change in the nature of hate post-Brexit vote requires new governance models to be formulated. This response has begun, with the publication of the Home Office Hate Crime Action Plan (July 2016) that includes initiatives to increase reporting, secure places of worship, and to develop our understanding of the 'drivers of hate'. In addition, the Director of Public Prosecutions is planning for stiffer penalties for online hate abusers, and a review is underway on hate crime legislation in Scotland. These responses are clear indicators that the government recognises the changing nature of hate crime. Despite these efforts, fresh calls for government to re-examine how it deals with hate crime have been made in relation to improving reporting, victim services and community cohesion post-Brexit (Chakraborti 2017). Significant questions remain over the short- and long-term causes of this rise in hate crime, what the implications are for the governance of this problem, and the wider linked issues of segregation, community cohesion and fostering new shared principles of citizenship post-Brexit. For example, isolated data sources cannot tell us if the rise in hate crime was due to increased reporting by victims and witnesses, better recording by police, an actual increase in perpetration because of the vote and leave campaign, or a combination of multiple factors. Our underlying assumption is that better information about the patterns and drivers of Brexit-related hate crime is a precondition for better governance. This project will develop innovative methods, using linked survey, administrative, press and social media data, to address this. The design of new governance interventions requires robust analysis of all available data (not just police and survey data in isolation), linked in a way that allow longitudinal analysis by geography. Only with such data and methodological innovations can policy-makers be made aware of the most significant driving factors of Brexit-related hate crime.
皇家检察署将仇恨犯罪定义为任何被认为是出于基于一个人的种族、宗教、残疾、性取向或变性身份的敌意或偏见的刑事犯罪,基于仇外心理的犯罪被警方记录为种族或宗教敌意。内政部(2017年)显示,2016/17年度记录了80,393起仇恨犯罪,而前一年为62,518起,增加了29%。英格兰和威尔士犯罪调查估计,由于对警察培训/记录做法的变化不敏感,可以说是仇恨犯罪减少的更可靠措施,显示仇恨犯罪,沿着一般犯罪,在2008年至2015年期间减少,然后转向显示种族和宗教仇恨犯罪从112,000增加到117,在13/15至15/17期间,发生了000起犯罪(5%)。这是一个重要的转折点,因为它反映了《调查》记录的仇恨犯罪10年来首次上升,而几乎所有其他形式的犯罪都在继续下降。虽然警方记录在案的犯罪增加可以部分归因于更多的报告,但内政部的报告明确详细说明了仇恨犯罪的真正上升,特别是在欧盟公投前后。研究还表明,英国脱欧公投后仇恨犯罪的性质发生了变化,欧洲大陆的受害者越来越多(包括非东欧国家),以新的方式(例如仇恨犯罪的“游戏化”-“惩罚穆斯林日”和网上犯罪),带来新的后果(例如,离开英格兰和威尔士前往苏格兰和其他欧洲国家)(Burnett 2017,Chakraborti 2017,Rzepnikowska 2018)。据报道,英国脱欧投票后仇恨的流行率和性质的变化急剧增加,需要制定新的治理模式。随着内政部仇恨犯罪行动计划(2016年7月)的发布,这一反应已经开始,其中包括增加报告,保护礼拜场所,以及发展我们对“仇恨驱动因素”的理解的举措。此外,检察长正计划对网上仇恨施虐者实施更严厉的惩罚,苏格兰正在对仇恨犯罪立法进行审查。这些回应清楚地表明,政府认识到仇恨犯罪的性质正在发生变化。尽管做出了这些努力,但人们再次呼吁政府重新审视如何处理仇恨犯罪,以改善报告,受害者服务和英国脱欧后的社区凝聚力(Chakraborti 2017)。关于仇恨犯罪上升的短期和长期原因,对这一问题的治理有何影响,以及隔离,社区凝聚力和促进英国退欧后新的共同公民原则等更广泛的相关问题,仍然存在重大问题。例如,孤立的数据来源无法告诉我们仇恨犯罪的增加是由于受害者和证人的报告增加,警方更好的记录,由于投票和离开运动而实际增加的犯罪行为,还是多种因素的组合。我们的基本假设是,更好地了解与英国脱欧有关的仇恨犯罪的模式和驱动因素是改善治理的先决条件。该项目将开发创新方法,利用相关的调查、行政、新闻和社交媒体数据来解决这一问题。新的治理干预措施的设计需要对所有现有数据(不仅仅是孤立的警察和调查数据)进行强有力的分析,并以允许按地理进行纵向分析的方式联系起来。只有通过这些数据和方法创新,政策制定者才能意识到与英国脱欧相关的仇恨犯罪的最重要驱动因素。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The Effect of the Brexit Vote on the Variation in Race and Religious Hate Crimes in England, Wales, Scotland and Northern Ireland
英国脱欧公投对英格兰、威尔士、苏格兰和北爱尔兰种族和宗教仇恨犯罪变化的影响
- DOI:10.1093/bjc/azac071
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Williams M
- 通讯作者:Williams M
The Science of Hate: How prejudice becomes hate and what we can do to stop it
仇恨的科学:偏见如何变成仇恨以及我们可以采取什么措施来阻止它
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Williams Matthew
- 通讯作者:Williams Matthew
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Matthew Williams其他文献
First observation of the decays B(0) → D(+)K(-)π(+)π(-) and B(-) → D(0)K(-)π(+)π(-).
首次观察到衰变 B(0) → D(+)K(-)π(+)π(-) 和 B(-) → D(0)K(-)π(+)π(-)。
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:8.6
- 作者:
R. Aaij;C. Beteta;B. Adeva;M. Adinolfi;C. Adrover;A. Affolder;Z. Ajaltouni;J. Albrecht;F. Alessio;M. Alexander;G. Alkhazov;P. Cartelle;A. A. Alves;S. Amato;Y. Amhis;J. Anderson;R. Appleby;O. A. Gutiérrez;F. Archilli;L. Arrabito;A. Artamonov;Marina Artuso;E. Aslanides;G. Auriemma;S. Bachmann;J. Back;D. Bailey;V. Balagura;W. Baldini;R. Barlow;C. Barschel;S. Barsuk;W. Barter;A. Bates;C. Bauer;T. Bauer;A. Bay;I. Bediaga;S. Belogurov;K. Belous;I. Belyaev;E. Ben;M. Benayoun;G. Bencivenni;S. Benson;J. Benton;R. Bernet;M. Bettler;M. Beuzekom;A. Bieñ;S. Bifani;T. Bird;A. Bizzeti;P. ornstad;Thomas Blake;F. Blanc;C. Blanks;J. Blouw;S. Blusk;A. Bobrov;Valerio Bocci;A. Bondar;N. Bondar;W. Bonivento;S. Borghi;A. Borgia;T. Bowcock;C. Bozzi;T. Brambach;J. Brand;J. Bressieux;D. Brett;M. Britsch;T. Britton;N. Brook;H. Brown;A. Büchler;I. Burducea;A. Bursche;J. Buytaert;S. Cadeddu;O. Callot;M. Calvi;M. C. Gomez;Alessandro Camboni;Pierluigi Campana;Angelo Carbone;G. Carboni;R. Cardinale;A. Cardini;L. Carson;K. C. Akiba;G. Casse;Marco Cattaneo;C. Cauet;M. Charles;P. Charpentier;N. Chiapolini;K. Ciba;X. Vidal;G. Ciezarek;P. Clarke;M. Clemencic;H. Cliff;J. Closier;C. Coca;V. Coco;J. Cogan;P. Collins;A. Comerma;F. Constantin;A. Contu;A. Cook;M. Coombes;G. Corti;G. Cowan;R. Currie;Carmelo D'Ambrosio;P. David;P. David;I. Bonis;S. Capua;M. Cian;F. D. Lorenzi;J. M. D. Miranda;L. D. Paula;P. D. Simone;D. Decamp;M. Deckenhoff;H. Degaudenzi;L. D. Buono;C. Deplano;D. Derkach;O. Deschamps;Francesco Dettori;J. Dickens;H. Dijkstra;P. D. Batista;F. Bonal;S. Donleavy;F. Dordei;Á. Suárez;D. Dossett;A. Dovbnya;F. Dupertuis;R. Dzhelyadin;A. Dziurda;S. Easo;U. Egede;V. Egorychev;S. Eidelman;D. Eijk;F. Eisele;S. Eisenhardt;R. Ekelhof;Lars Eklund;C. Elsasser;D. Elsby;D. E. Pereira;L. Estève;A. Falabella;E. Fanchini;C. Färber;G. Fardell;C. Farinelli;S. Farry;V. Fave;V. Albor;M. Ferro;Sergey Filippov;C. Fitzpatrick;M. Fontana;F. Fontanelli;R. Forty;M. Frank;C. Frei;M. Frosini;S. Furcas;A. G. Torreira;Domenico Galli;M. Gandelman;P. Gandini;Y. Gao;J. Garnier;J. Garofoli;J. G. Tico;L. Garrido;D. Gascón;C. Gaspar;N. Gauvin;M. Gersabeck;T. Gershon;P. Ghez;V. Gibson;V. Gligorov;C. Göbel;D. Golubkov;A. Golutvin;A. Gomes;H. Gordon;M. Gándara;R. G. Díaz;L. A. Cardoso;E. Grauges;G. Graziani;A. Grecu;E. Greening;S. Gregson;B. Gui;E. Gushchin;Y. Guz;T. Gys;G. Haefeli;C. Haen;S. Haines;T. Hampson;S. Hansmann;R. Harji;N. Harnew;J. Harrison;P. Harrison;T. Hartmann;J. He;V. Heijne;K. Hennessy;P. Henrard;J. Morata;E. V. Herwijnen;E. Hicks;K. Holubyev;P. Hopchev;W. Hulsbergen;P. Hunt;T. Huse;R. S. Huston;D. Hutchcroft;D. Hynds;V. Iakovenko;P. Ilten;J. Imong;R. Jacobsson;A. Jaeger;Marwa Jahjah;E. Jans;F. Jansen;P. Jaton;B. Jean;F. Jing;M. John;D. Johnson;C. Jones;B. Jost;M. Kaballo;S. Kandybei;M. Karacson;T. M. Karbach;J. Keaveney;I. Kenyon;U. Kerzel;T. Ketel;A. Keune;B. Khanji;Y. M. Kim;M. Knecht;R. Koopman;P. Koppenburg;A. Kozlinskiy;L. Kravchuk;K. Kreplin;M. Kreps;G. Krocker;P. Krokovny;Florian Kruse;K. Kruzelecki;M. Kucharczyk;T. Kvaratskheliya;V. Thi;D. Lacarrere;G. Lafferty;A. Lai;D. Lambert;R. Lambert;E. Lanciotti;G. Lanfranchi;C. Langenbruch;T. Latham;C. Lazzeroni;R. Gac;J. Leerdam;J. Lees;R. Lefèvre;A. Leflat;J. Lefrancois;O. Leroy;T. Lesiak;L. Li;L. L. Gioi;M. Lieng;M. Liles;R. Lindner;C. Linn;B. Liu;G. Liu;J. Loeben;J. Lopes;E. Asamar;N. López;H. Lu;J. Luisier;A. Raighne;F. Machefert;I. Machikhiliyan;F. Maciuc;O. Maev;J. Magnin;S. Malde;R. Mamunur;G. Manca;G. Mancinelli;N. Mangiafave;U. Marconi;R. Märki;J. Marks;G. Martellotti;A. Martens;L. Martin;A. M. Sanchez;D. Santos;A. Massafferri;Z. Máthé;C. Matteuzzi;M. Matveev;E. Maurice;B. Maynard;A. Mazurov;G. McGregor;R. McNulty;M. Meissner;M. Merk;J. Merkel;R. Messi;S. Miglioranzi;D. Milanes;M. Minard;J. M. Rodriguez;S. Monteil;D. Moran;P. Morawski;R. Mountain;I. Mous;F. Muheim;K. Müller;R. Mureşan;B. Muryn;B. Muster;M. Musy;J. Mylroie;P. Naik;T. Nakada;R. Nandakumar;I. Nasteva;M. Nedos;M. Needham;N. Neufeld;C. Nguyen;M. Nicol;V. Niess;N. Nikitin;A. Nomerotski;A. Novoselov;A. Oblakowska;V. Obraztsov;S. Oggero;S. Ogilvy;O. Okhrimenko;R. Oldeman;M. Orlandea;J. Goicochea;P. Owen;K. Pal;J. Palacios;A. Palano;M. Palutan;J. Panman;A. Papanestis;M. Pappagallo;C. Parkes;C. Parkinson;G. Passaleva;G. Patel;M. Patel;S. Paterson;G. Patrick;C. Patrignani;C. Pavel;A. Alvarez;Antonio Pellegrino;G. Penso;M. Altarelli;S. Perazzini;D. Perego;E. Trigo;A. Yzquierdo;P. Perret;M. Perrin;G. Pessina;A. Petrella;A. Petrolini;A. Phan;E. Olloqui;B. P. Valls;B. Pietrzyk;T. Pilař;D. Pinci;R. Plackett;S. Playfer;M. P. Casasus;G. Polok;A. Poluektov;E. Polycarpo;D. Popov;B. Popovici;C. Potterat;A. Powell;J. Prisciandaro;V. Pugatch;A. P. Navarro;W. Qian;J. Rademacker;B. Rakotomiaramanana;M. Rangel;I. Raniuk;G. Raven;S. Redford;M. Reid;A. C. D. Reis;S. Ricciardi;K. Rinnert;D. A. Romero;P. Robbe;E. Rodrigues;F. Rodrigues;P. R. Pérez;G. Rogers;S. Roiser;V. Romanovsky;M. Roselló;J. Rouvinet;T. Ruf;H. Ruiz;G. Sabatino;J. J. S. Silva;N. Sagidova;P. Sail;B. Saitta;C. Salzmann;M. Sannino;R. Santacesaria;C. Rios;R. Santinelli;E. Santovetti;M. Sapunov;A. Sarti;C. Satriano;A. Satta;M. Savrié;D. Savrina;P. Schaack;M. Schiller;S. Schleich;M. Schlupp;M. Schmelling;B. Schmidt;O. Schneider;A. Schopper;M. Schune;R. Schwemmer;B. Sciascia;A. Sciubba;M. Seco;A. Semennikov;K. Senderowska;I. Sepp;N. Serra;J. Serrano;P. Seyfert;M. Shapkin;I. Shapoval;P. Shatalov;Yu . A. Shcheglov;T. Shears;L. Shekhtman;O. Shevchenko;V. Shevchenko;A. Shires;R. S. Coutinho;Tomasz Skwarnicki;A. Smith;N. Smith;E. Smith;K. Sobczak;F. Soler;A. Solomin;F. Soomro;B. S. D. Paula;B. Spaan;A. Sparkes;P. Spradlin;F. Stagni;S. Stahl;O. Steinkamp;S. Stoica;S. Stone;B. Storaci;M. Straticiuc;U. Straumann;V. Subbiah;S. Swientek;M. Szczekowski;P. Szczypka;T. Szumlak;S. T'Jampens;E. Teodorescu;F. Teubert;C. Thomas;E. Thomas;J. V. Tilburg;V. Tisserand;M. Tobin;S. Topp;N. Torr;E. Tournefier;M. Tran;A. Tsaregorodtsev;N. Tuning;M. Garcia;A. Ukleja;P. Urquijo;U. Uwer;V. Vagnoni;G. Valenti;R. V. Gomez;P. V. Regueiro;S. Vecchi;J. Velthuis;M. Veltri;B. Viaud;I. Videau;X. Vilasís;J. Visniakov;A. Vollhardt;D. Volyanskyy;D. Voong;A. Vorobyev;H. Voss;S. Wandernoth;J. C. Wang;D. R. Ward;N. Watson;A. Webber;D. Websdale;M. Whitehead;D. Wiedner;L. Wiggers;G. Wilkinson;Matthew Williams;M. Williams;F. Wilson;J. Wishahi;M. Witek;W. Witzeling;S. Wotton;K. Wyllie;Y. Xie;F. Xing;Z. Xing;Z. Yang;R. Young;O. Yushchenko;M. Zavertyaev;F. Zhang;L. Zhang;W. C. Zhang;Y. Zhang;A. Zhelezov;L. Zhong;E. G. Zverev;A. Zvyagin - 通讯作者:
A. Zvyagin
Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer
用于乳腺癌系统建模和预后的客观贝叶斯网络
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
S. Nagl;Matthew Williams;Jon Williamson - 通讯作者:
Jon Williamson
Ascent and emplacement dynamics of obsidian lavas inferred from microlite textures
从微晶石纹理推断黑曜石熔岩的上升和就位动态
- DOI:
10.1007/s00445-015-0971-6 - 发表时间:
2015 - 期刊:
- 影响因子:3.5
- 作者:
K. Befus;M. Manga;J. Gardner;Matthew Williams - 通讯作者:
Matthew Williams
Innovation in dementia education within undergraduate healthcare programmes: A scoping review.
本科医疗保健项目中痴呆症教育的创新:范围界定审查。
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:3.9
- 作者:
Matthew Williams;S. Daley - 通讯作者:
S. Daley
Coming and going: A narrative review exploring the push-pull factors during nurses' careers
来来往往:一项探索护士职业生涯中推拉因素的叙事性综述
- DOI:
10.1016/j.ijnurstu.2024.104908 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:7.100
- 作者:
Ourega-Zoé Ejebu;Julia Philippou;Joanne Turnbull;Anne Marie Rafferty;William Palmer;Jane Prichard;Iain Atherton;Michelle Jamieson;Lucina Rolewicz;Matthew Williams;Jane Ball - 通讯作者:
Jane Ball
Matthew Williams的其他文献
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{{ truncateString('Matthew Williams', 18)}}的其他基金
Stellar Archeology: The Nuclear Fingerprints of Massive Stars.
恒星考古学:大质量恒星的核指纹。
- 批准号:
ST/W00321X/1 - 财政年份:2023
- 资助金额:
$ 25.79万 - 项目类别:
Fellowship
Workforce Education: STEM Recruitment, Retention, and Realization
劳动力教育:STEM 招聘、保留和实现
- 批准号:
1741982 - 财政年份:2018
- 资助金额:
$ 25.79万 - 项目类别:
Standard Grant
Centre for Cyberhate Research & Policy: Real-Time Scalable Methods & Infrastructure for Modelling the Spread of Cyberhate on Social Media
网络仇恨研究中心
- 批准号:
ES/P010695/1 - 财政年份:2017
- 资助金额:
$ 25.79万 - 项目类别:
Research Grant
Digital Social Research Tools, Tension Indicators and Safer Communities: a demonstration of the Cardiff Digital Research Platform (CDRP)
数字社会研究工具、紧张指标和更安全的社区:卡迪夫数字研究平台 (CDRP) 的演示
- 批准号:
ES/J009903/1 - 财政年份:2011
- 资助金额:
$ 25.79万 - 项目类别:
Research Grant
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British Film Noir in the Years After World War II: History and Style in Post-Hitchcockian Crime Cinema
二战后英国黑色电影:后希区柯克犯罪电影的历史和风格
- 批准号:
20J15667 - 财政年份:2020
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$ 25.79万 - 项目类别:
Grant-in-Aid for JSPS Fellows
An exploration of the role and experience of looked after children in serious organised crime in the UK.
探索英国严重有组织犯罪中被照顾的儿童的角色和经历。
- 批准号:
2449576 - 财政年份:2020
- 资助金额:
$ 25.79万 - 项目类别:
Studentship
Study on the way of sustainable activity for area crime prevention to protect children at school and after school from crime
区域犯罪预防可持续活动的方式研究,以保护在校和放学后的儿童免受犯罪侵害
- 批准号:
15K00752 - 财政年份:2015
- 资助金额:
$ 25.79万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
A study of crime prevention after large-scale disaster: Preventing crime occurrence and reducing the fear of crime
大规模灾害后犯罪预防研究:预防犯罪发生、减少犯罪恐惧
- 批准号:
25285025 - 财政年份:2013
- 资助金额:
$ 25.79万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Planning strategies to reduce fear of crime and increase privacy protection in evacuation shelters after the Great East Japan Earthquake.
制定东日本大地震后避难所内减少犯罪恐惧和加强隐私保护的策略。
- 批准号:
24560765 - 财政年份:2012
- 资助金额:
$ 25.79万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Life After Crime and Punishment: Developing Theories, Connecting to Practice
罪与罚之后的生活:发展理论,联系实践
- 批准号:
RES-451-25-4078-A - 财政年份:2007
- 资助金额:
$ 25.79万 - 项目类别:
Research Grant
Life After Crime and Punishment: Developing Theories, Connecting to Practice
罪与罚之后的生活:发展理论,联系实践
- 批准号:
RES-451-25-4078 - 财政年份:2006
- 资助金额:
$ 25.79万 - 项目类别:
Research Grant
The effects of pre-viewing of mock crime scene on detection of deception using P300 after one month and one year
一个月和一年后使用 P300 预览模拟犯罪现场对侦破欺骗行为的影响
- 批准号:
18530553 - 财政年份:2006
- 资助金额:
$ 25.79万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Economic crime connected with the privatisations in East Germany after the reunification
统一后与东德私有化相关的经济犯罪
- 批准号:
5280934 - 财政年份:2001
- 资助金额:
$ 25.79万 - 项目类别:
Research Grants
Disaster and Crime (Crime Victimization and Fear of Crime after the Hanshin Great Earthquake)
灾害与犯罪(阪神大地震后的犯罪受害与犯罪恐惧)
- 批准号:
10420011 - 财政年份:1998
- 资助金额:
$ 25.79万 - 项目类别:
Grant-in-Aid for Scientific Research (B).