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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">kulawr</journal-id><journal-title-group><journal-title xml:lang="en">Kutafin Law Review</journal-title><trans-title-group xml:lang="ru"><trans-title>Kutafin Law Review</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2713-0525</issn><issn pub-type="epub">2713-0533</issn><publisher><publisher-name>MSAL</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17803/2713-0525.2022.2.20.329-342</article-id><article-id custom-type="elpub" pub-id-type="custom">kulawr-169</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ARTIFICIAL INTELLIGENCE</subject></subj-group></article-categories><title-group><article-title>Predictive Policing: High-tech Modeling as a Method to Identify Serial Killers</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2835-288X</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Bertovskiy</surname><given-names>L. V.</given-names></name></name-alternatives><bio xml:lang="en"><p>Lev V. Bertovskiy - Dr. Sci. (Law), Professor, Lomonosov Moscow State University; National Research University of Electronic Technology (MIET).</p><p>1 stroenie 13 Leninskiye Gory, Moscow 119991.</p></bio><email xlink:type="simple">bgl1980@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Novogonskaya</surname><given-names>M. S.</given-names></name></name-alternatives><bio xml:lang="en"><p>Margarita S. Novogonskaya - Postgraduate student, Lomonosov Moscow State University.</p><p>1 stroenie 13 Leninskiye Gory, Moscow 119991.</p></bio><email xlink:type="simple">novogonskaya.m@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Fedorov</surname><given-names>A. R.</given-names></name></name-alternatives><bio xml:lang="en"><p>Alexey R. Fedorov - Cand. Sci. (Technical Studies), Associate Professor, National Research University of Electronic Technology (MIET).</p><p>1 ploshchad Shokina, Zelenograd, Moscow 124498.</p></bio><email xlink:type="simple">af123@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Lomonosov Moscow State University</institution><country>Russian Federation</country></aff><aff xml:lang="en" id="aff-2"><institution>National Research University of Electronic Technology (MIET)</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>05</day><month>07</month><year>2022</year></pub-date><volume>9</volume><issue>2</issue><fpage>329</fpage><lpage>342</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Bertovskiy L.V., Novogonskaya M.S., Fedorov A.R., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Bertovskiy L.V., Novogonskaya M.S., Fedorov A.R.</copyright-holder><copyright-holder xml:lang="en">Bertovskiy L.V., Novogonskaya M.S., Fedorov A.R.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://kulawr.msal.ru/jour/article/view/169">https://kulawr.msal.ru/jour/article/view/169</self-uri><abstract><p>The article considers the development of predictive policing in Russia through the creation of software, based on the use of artificial intelligence (AI) to identify  serial  killers.  Forensic  modelling in crime investigation, in particular modern digital twin technology is analyzed. The system of the digital twin is trained on the basis of a set    of mathematical models of various level of complexity and specified by results of full-scale experiments. Existing approaches to solving the serial killer portrait problem are investigated. Digital twins in conjunction with machine learning can predict  the  behavior  of  the  object  under  study in the future, based on statistical data and accelerate the work of the investigator in the investigation of serial crimes.</p></abstract><kwd-group xml:lang="en"><kwd>predictive policing</kwd><kwd>digital twin</kwd><kwd>artificial intelligence</kwd><kwd>neural network</kwd><kwd>machine learning</kwd><kwd>ensemble methods</kwd><kwd>forensics</kwd><kwd>serial murders</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Adderley, R. and Musgrove, P.B., (2001). 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