Forensic science – status quo and perspectives in the era of data science development
Paweł Olber
Wyższa Szkoła Policji w SzczytnieAbstract
Forensic is a legal science for which exist high social expectations in fighting crime. Although this science has achieved many successes in the fight
against crime, it still faces many problems related to the computerization of
the world. Indeed, cyberspace has become a new area of social activity, which
encourages the development of criminal activity. Cyberspace creates a false
sense of anonymity, but every activity on the Internet leaves traces. Technology saves the data created and processed by cyberspace users on various
physical carriers. Users of cyberspace create and process data. The processing
of huge amounts of digital information is a sign of modern times. The increase
in the amount of data in the world has contributed to the development of data
science, which makes it possible to get valuable knowledge as patterns and
relationships exist between analyzed information.
Keywords:
kryminalistyka, prawo, nauka o danych, eksploracja danych, inteligencja śledcza, bazy danychReferences
Andre L., 53 Important Statistics About How Much Data Is Created Every Day, https://financesonline.com/how-much-data-is-created-every-day/. Google Scholar
Bel S. i in., A call for more science in forensic science, „Proceedings of the National Academy of Sciences” 2018, t. 115, nr 18, https://doi.org/10.1073/pnas.1712161115. Google Scholar
Casey E., Ribaux O., Roux C., Digital transformations and the viability of forensic science laboratories: Crisis-opportunity through decentralisation, „Forensic Science International” 2018, t. 289, https://doi.org/10.1016/j.forsciint.2018.04.055. Google Scholar
Casey E., Ribaux O., Roux C., The Kodak Syndrome: Risks and Opportunities Created by Decentralization of Forensic Capabilities, „Journal of Forensic Sciences” 2019, t. 64, nr 1, https://doi.org/10.1111/1556-4029.13849. Google Scholar
Ceglarski W., Siwek J., FAVI (Forensic Aid for Vehicle Identification) – system wspierający identyfikację pojazdów oraz dokumentów pojazdów, [w:] A. Frankowski, P. Trojanowski (red.), Dobre praktyki technika kryminalistyki, Wyd. Centralnego Laboratorium Google Scholar
Kryminalistycznego Policji, Warszawa 2020. Google Scholar
Cleveland W.S., Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics, „International Statistical Review” 2001, t. 69, nr 1, https://doi.org/10.2307/1403527. Google Scholar
Crispino F., Roux C., Delémont O., Ribaux O., Is the (traditional) Galilean science paradigm well suited to forensic science?, „WIREs Forensic Science” 2019, t. 1, nr 6, https://doi.org/10.1002/wfs2.1349. Google Scholar
De Kinder J., Pirée H., The future of the forensic science providers – Time to re-think our structures?”, „Forensic Science International” 2020, t. 316, https://doi.org/10.1016/j.forsciint.2020.110471. Google Scholar
Dhar V., Data science and prediction, „Communications of the ACM” 2013, t. 56, nr 12, https://doi.org/10.1145/2500499. Google Scholar
Dudek P., Zbiory broni, łusek i pocisków, [w:] A. Frankowski, P. Trojanowski (red.), Dobre praktyki technika kryminalistyki, Wyd. Centralnego Laboratorium Kryminalistycznego Policji, Warszawa 2020. Google Scholar
Feng M. i in., Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data, „IEEE Access” 2019, t. 7, https://doi.org/10.1109/ACCESS.2019.2930410. Google Scholar
Ferooz F. i in., Suicide Bomb Attack Identification and Analytics through Data Mining Techniques, „Electronics” 2021, t. 10, nr 19, https://doi.org/10.3390/electronics10192398. Google Scholar
Gasanova A., Medvedev A.N., Komotskiy E.I., Spasov K.B., Sachkov I.N., On the use of data mining methods for money laundering detection based on financial transactions information, „AIP Conference Proceedings 2040” 2018, https://doi.org/ Google Scholar
1063/1.5079119. Google Scholar
Gantz J., Reinsel D., Rydning J., The Digitization of the World From Edge to Core, Framingham 2018, https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf. Google Scholar
Grabowski S., Krajowy Zbiór Wkładek Złamanych, [w:] A. Frankowski, P. Trojanowski (red.), Dobre praktyki technika kryminalistyki, Wyd. Centralnego Laboratorium Kryminalistycznego Policji, Warszawa 2020. Google Scholar
Grus J., Data science od podstaw. Analiza danych w Pythonie, Helion, Gliwice 2020. Google Scholar
Gruza E., Goc M., Moszczyński J., Kryminalistyka, czyli o współczesnych metodach dowodzenia przestępstw, Wolters Kluwer, Warszawa 2020. Google Scholar
Hannam A.G., Trends in Converted Firearms in England & Wales as Identified by the National Firearms Forensic Intelligence Database (NFFID) Between September 2003 and September 2008, „Journal of Forensic Sciences” 2010, t. 55, nr 3, https://doi.org/10.1111/j.1556-4029.2009.01293.x. Google Scholar
Harrison M., Optimising engagement between forensics & policing: Avoiding the dialogue of the deaf, „Forensic Science International” 2021, t. 321, https://doi.org/10.1016/j.forsciint.2020.110605. Google Scholar
Iqbal F., Fung B.C.M., Debbabi M., Batool R., Marrington A., Wordnet-Based Criminal Networks Mining for Cybercrime Investigation, „IEEE Access” 2019, t. 7, https://doi.org/10.1109/ACCESS.2019.2891694. Google Scholar
Karepanov N.V., The influence of the paradigm of forensic science on law enforcement, „Law Enforcement Review” 2020, t. 4, nr 3, https://doi.org/10.24147/2542-1514.2020.4(3). Google Scholar
Kasprzak J., Jusupow W., Hans Gross – postać znana i nieznana, „Studia Prawnoustrojowe” 2021, nr 51, https://doi.org/10.31648/sp.6392. Google Scholar
Kemp S., More than 5 billion people now use the Internet, https://wearesocial.com/hk/blog/2022/04/more-than-5-billion-people-now-use-the-internet/. Google Scholar
Kocielnik Ł., Kartoteka Dokumentów Anonimowych, [w:] A. Frankowski, P. Trojanowski (red.), Dobre praktyki technika kryminalistyki, Wyd. Centralnego Laboratorium Kryminalistycznego Policji, Warszawa 2020. Google Scholar
Kot E., Zbiory danych daktyloskopijnych, [w:] A. Frankowski, P. Trojanowski (red.), Dobre praktyki technika kryminalistyki, Wyd. Centralnego Laboratorium Kryminalistycznego Policji, Warszawa 2020. Google Scholar
Manning M. i in., Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions, „Crime Science” 2018, t. 7, nr 1, https://doi.org/ 10.1186/s40163-018-0086-4. Google Scholar
Mnookin J. i in., The Need for a Research Culture in the Forensic Sciences, „SSRN Journal” 2011, https://doi.org/10.2139/ssrn.1755722. Google Scholar
Morgan R.M., Conceptualising forensic science and forensic reconstruction. Part II: The critical interaction between research, policy/law and practice, „Science & Justice” 2017, t. 57, nr 6, https://doi.org/10.1016/j.scijus.2017.06.003. Google Scholar
Morgan R.M., Forensic science. The importance of identity in theory and practice, „Forensic Science International: Synergy” 2019, t. 1, https://doi.org/10.1016/j.fsisyn.2019.09.001. Google Scholar
Morgan R.M., Levin E.A., A crisis for the future of forensic science: Lessons from the UK of the importance of epistemology for funding research and development, „Forensic Science International: Synergy” 2019, t. 1, https://doi.org/10.1016/j.fsisyn.2019.09.002. Google Scholar
Moszczyński J., Rozważania o nowym paradygmacie kryminalistyki, „Studia Prawnoustrojowe” 2020, nr 50, https://doi.org/10.31648/sp.6048. Google Scholar
National Research Council, Strengthening Forensic Science in the United States: A Path Forward, CrimRxiv 2009, https://doi.org/10.21428/cb6ab371.b2d683d2. Google Scholar
Park S., Carriquiry A., A database of two-dimensional images of footwear outsole impressions, „Data in Brief” 2020, t. 30, https://doi.org/10.1016/j.dib.2020.105508. Google Scholar
Pietro D.S., Kammrath B.W., De Forest P.R., Is forensic science in danger of extinction?, „Science & Justice” 2019, t. 59, nr 2, https://doi.org/10.1016/j.scijus.2018.11.003. Google Scholar
Pikulski S., Podstawowe zagadnienia taktyki kryminalistycznej, Temida 2, Białystok 1997. Google Scholar
Razarenkow K., Zbiór europejskich danych samochodowych powłok lakierowych (EUCAP), Google Scholar
[w:] A. Frankowski, P. Trojanowski (red.), Dobre praktyki technika kryminalistyki, Wyd. Centralnego Laboratorium Kryminalistycznego Policji, Warszawa 2020. Google Scholar
Ribaux O., Talbot Wright B., Expanding forensic science through forensic intelligence, „Science & Justice” 2014, t. 54, nr 6, https://doi.org/10.1016/j.scijus.2014.05.001. Google Scholar
Rollins J.B., Foundational Methodology for Data Science, Somers (New York) 2015. Google Scholar
Shukla S., Jain P.K., Babu Ch.R., Pamula R., A Multivariate Regression Model for Identifying, Analyzing and Predicting Crimes, „Wireless Personal Communications” 2020, t. 113, nr 4, https://doi.org/10.1007/s11277-020-07335-w. Google Scholar
Sygit B., Kilka refleksji o tzw. białych plamach w kryminalistyce i możliwościach ich usunięcia, [w:] E. Gruza, T. Tomaszewski, M. Goc (red.), Problemy współczesnej kryminalistyki, t. XVIII, Katedra Kryminalistyki WPiA UW, Pol. Tow. Kryminalistyczne, Google Scholar
Warszawa 2014. Google Scholar
Tadeusiewicz R., Data mining jako szansa na relatywnie tanie dokonywanie odkryć naukowych poprzez przekopywanie pozornie całkowicie wyeksploatowanych danych empirycznych, [w:] J. Wątroba (red.), Statystyka i Data Mining w badaniach naukowych, Google Scholar
StartSoft, Kraków 2006. Google Scholar
Wang Z., Wang J., Applications of Machine Learning in Public Security Information and Resource Management, „Scientific Programming” 2021, https://doi.org/10.1155/2021/4734187. Google Scholar
Weyermann C., Roux C., A different perspective on the forensic science crisis, „Forensic Science International” 2021, t. 323, https://doi.org/10.1016/j.forsciint.2021.110779. Google Scholar
Wilson-Wilde L., White J., Australasian Forensic Science Summit 2016: external environments towards 2030, „Australian Journal of Forensic Sciences” 2018, t. 50, nr 3, https://doi.org/10.1080/00450618.2017.1383573. Google Scholar
Wyższa Szkoła Policji w Szczytnie
