Abstract
Criminal DNA databases are expanding in different regions of the world to support the activities of the criminal justice system. The use of techniques that combine different sources of digital information for preventing and anticipating the risk of crime (one of the potential uses of so-called Big Data) is increasingly seen as a promising strategy to govern crime. This chapter provides an overview of the development of technological systems orientated towards genetic surveillance of criminalized populations. It also outlines a comprehensive mapping of the main ethical, social and political challenges related to the growing uses of DNA databases and Big Data at a global scale.
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Keywords
Data Collection in the Information Society
Forensic genetics has become a significant resource for criminal investigation and evidence-gathering activities for court proceedings in judicial systems around the world (Hindmarsh & Prainsack, 2010). One of the most prominent aspects of the use of forensic genetics in the criminal justice system is the creation and expansion of centralized national databases that contain genetic profiles that are inserted and stored in function of criteria defined in the legislation of each country (Santos, Machado, & Silva, 2013). These databases may contain genetic profiles of convicted persons, suspects, victims, volunteers and other persons of interest, in order to conduct criminal investigations.
A database provides a matrix of genetic profiles based on biological samples collected from a set of individuals. In the context of a pending criminal investigation, traces found in the crime scene or on the victim’s body may be analysed and the resulting DNA profiles will be compared with those included in the genetic forensic database, thus making it possible to identify the origin of this vestige, in the event of a positive match.
The process of creating forensic databases with genetic profiles began in the mid-1990s. The first forensic genetic database was set up in England and Wales in 1995, and countries such as the Netherlands (1997), Austria (1997) and Germany (1998) followed suit. It is estimated that there are now 69 countries around the world operating this type of database and that at least 34 countries are starting the process of implementing their own database (Interpol, 2016; Prainsack & Aronson, 2015). Such databases exist in different regions of the world, especially in Europe and North America: however, recent developments point to growing expansion in Asia, in particular in China, India and South Korea (Forensic Genetics Policy Initiative, 2017).
The creation of databases to support criminal investigation is aligned with the social, economic and political context of the so-called information society, which many authors consider to be a society of maximum surveillance that began to emerge in the mid-1980s (Boersma, Van Brakel, Fonio, & Wagenaar, 2014; Garland, 2001; Lyon, 1992, 2006; Marx, 2002; Norris & Armstrong, 1999). The phenomenon of Big Data emerges in the context of technological development and the growing importance of the digital world, which is associated with large-scale collection of citizens’ data. It can be defined as a technique that aggregates and analyses a massive amount of data, converting it into algorithms, numerically categorized and identified by employing a calculated index, from which information may be extracted. The technique can be applied in several spheres of social life, including commerce, consumption, health, social security, marketing and immigration. In the context of this book, the authors will pay careful attention to expectations associated to the potential of applying Big Data in the fields of criminal investigation and security (Brayne, 2017; Chan & Moses, 2015, 2017; Tsianos & Kuster, 2016). The complexities and challenges arising from the use of forensic DNA databases and Big Data in the context of criminal investigation will be presented and briefly discussed in the different sections of this chapter.
Ethical Questions Associated with the Use of Forensic DNA Databases
It is now widely recognized that forensic genetic databases can be beneficial for criminal investigation activities and the production of evidence in the justice system and may eventually contribute to crime prevention and deterrence (Santos et al., 2013; Walsh, Buckleton, Ribaux, Roux, & Raymond, 2008). However, the use of such databases raises diverse and complex ethical, social and political questions which, from our perspective, must be considered in the context of suitable involvement of various social actors: legislators, judicial operators, forensic experts, politicians (Machado & Silva, 2015a, 2015b; Wienroth, Morling, & Williams, 2014). Commentators from different professional fields and scientific disciplines have pointed out the need to consider that the use of forensic genetic databases should be conducted while considering ethical concerns and the need to respect fundamental human rights, such as freedom, autonomy, privacy, presumption of innocence and equality (Amankwaa & McCartney, 2018; Krimsky & Simoncelli, 2011; Van Camp & Dierickx, 2007).
The most controversial ethical issues related to DNA databases for criminal investigation above all concern the criteria related to the selection of the DNA profiles to be included and to the collection, conservation, use and circulation of data. This question is highlighted by the clear trend towards the growing use of such databases. There are other aspects that may raise ethical issues, which will be listed below (Hindmarsh & Prainsack, 2010; Prainsack & Aronson, 2015).
The myth of the infallibility of DNA profiling may lead to overlooking possible laboratory errors and other errors and result in the marginalization or even elimination of other types of evidence in court. Identification errors can have profound and irremediable implications, so guaranteeing quality in all technical procedures is also an ethical issue.
There is the possibility of establishing kinship ties through familial searching (see Chap. 7), even though this information might even be unknown to the person who is registered or may constitute a breach of the individual’s private life and moral integrity.
Forensic DNA databases reproduce and reinforce social inequalities. Members of specific minorities are more likely to be included in forensic DNA databases and then, consequently, placed under greater surveillance (Chow-White & Duster, 2011; Skinner, 2012, 2013, 2018). The seminal work of Robin Williams and Paul Johnson (2004) is essential in this respect for its analysis of the unique nature of the surveillance based on DNA data and its implications for the construction of suspicion. The authors argue that DNA databases allow for “reconstructive surveillance”, forming a circuit surveillance system which holds information that can be applied retrospectively, meaning that people and their actions are not watched, but are inferentially reconstructed using expert practices (Williams & Johnson, 2004, pp. 3–6). As the authors note, “DNA databases have a speed, efficiency, automation, and accuracy that are unmatched in the history of policing” (Williams & Johnson, 2004, p. 8). Moreover, Williams and Johnson explain that DNA databases form “a type of surveillance which is essentially concerned with ‘management’ of those already deemed criminal […] delimiting them from the wider population and managing them through assured detection” (Williams & Johnson, 2004, p. 11).
Finally, it is important to note that there are high costs associated to creating and maintaining a DNA database, and there are no studies that provide consistent evidence of its efficacy, utility and deterrence effect (Toom, Granja, & Ludwig, 2019). Do the benefits of this technology justify this investment? In other words, can it be argued that these resources will be better applied in crime prevention policies, social reintegration of offenders and/or in ways to reinforce protection for the most vulnerable segments of society?
In 1997, Derick Beyleveld, a specialist in Law and Ethics, proposed the following systematization of what he called the enthusiastic model (“camp enthusiastic”) and the pessimistic model (“camp hostile”) concerning weighting the risks and benefits associated with the use of forensic DNA databases. This proposal of general models is a mere abstract construction, which selectively accentuates certain aspects of concrete reality (Beyleveld, 1997).
The enthusiastic model of the use of DNA databases within criminal justice appears to be based on a model of criminal justice that focuses on identifying and punishing offenders and deterring crime. It is accepted that, in principle, all individuals may be guilty, and that one of the purposes of the justice system is to find out who actually committed crimes and then punish them. In relation to the normative question of the relationship between the collective good and the individual good, this position is guided by affirmation of the relative superiority of the interests of the community, considering that upholding people’s safety and combatting crime are common goods that justify placing constraints on individual rights. From this perspective, emphasis is placed on greater effectiveness in identifying guilty persons and valuing a society with more effective structures in controlling individuals and ensuring safety (Beyleveld, 1997).
The pessimistic model emphasizes the potential risks and drawbacks of using DNA databases in the criminal justice system and understands that the primary purpose of the justice system is to uncover the truth and protect the rights of innocent people. It is accepted that, in principle, defendants are presumed to be innocent until proven guilty. There should, therefore, be special attention placed on procedures that protect defendants against the possibility of error and ensure equal access to evidence, both for defence and for prosecution. This position broadens the reflection on the possible harmful consequences for democracy that can be created by a society that chooses people’s safety as a supreme good, though the extension of the criteria for inclusion of information in a DNA database may prove to be inadequate and disproportionate to the potential benefits (Beyleveld, 1997).
It should be noted that it is difficult to find empirical evidence of an extreme position, either in legislative, political or expert terms or of what may be the simple assumptions of ordinary citizens (Machado & Silva, 2015b; Williams & Johnson, 2004). It is easier to find compromises, which relate to the need to strike a balance between safeguarding people’s safety and combatting crime, while upholding citizens’ rights, freedoms and guarantees (Amankwaa, 2018; Wilson-Kovacs, 2014; Wilson-Kovacs, Wyatt, & Hauskeller, 2012). The search and justification of this desirable balance are, however, differentiated. The debate tends to lean towards one side and reflect different views on the following issues: what should be the main objectives and orientations of the criminal justice system, what should be the guiding ethical principles and what are the specific agendas and interests of different social, professional or political groups (Nuffield Council on Bioethics, 2007).
The Panorama of Forensic Genetic Databases in European Countries
The size of forensic genetic databases and their type of organization and regulation is highly varied. Legislation may state the possible purposes or uses of DNA databases, distinguishing between criminal identification, civil identification and scientific research purposes. It can also establish the scope and means of access to the information held in the database; for example, whether all authorities (judicial authorities or police forces) have access or whether access is restricted to certain agents of the justice system. Or whether only information about matches between genetic profiles may be communicated or if other information can also be communicated (e.g., personal data relating to the person identified by means of the genetic profile).
Other issues that are usually determined in national legislation are those related to the criteria for insertion and removal of genetic profiles and biological samples. Different options exist in the legislation of different countries that determine the scope and extent of access to the DNA database based on criteria such as the type of crime committed, the maximum duration of the potential sentence, the individual’s characteristics and the likelihood of recurrence. As a result, the law is expected to respond to the following questions: which individuals and under what circumstances shall profiles be inserted into the DNA database? What is the fate of biological samples collected from suspects or convicts? What are the deadlines for retention of DNA profiles and samples?
In general terms, the criteria governing the insertion and removal of profiles and samples constitute the variable that will have the most significant impact on the size of databases of genetic profiles. According to Filipe Santos and colleagues, who carried out a study on legislative trends in DNA databases in Europe, there are countries with expansive legislation and others with restrictive legislation (Santos et al., 2013). According to this typology, the countries with restrictive legislation are Germany, Belgium, Spain, France, the Netherlands, Hungary, Ireland, Italy, Luxembourg, Portugal and Sweden, whereas the countries with expansive legislation are Austria, Denmark, Scotland, Slovakia, Estonia, Finland, Latvia, Lithuania and the UK (England, Wales).
According to the authors, if a specific law has few constraints (e.g., the inclusion of the DNA profile of any individual suspected of any punishable offence) on the insertion of profiles into the DNA database for forensic purposes (whether a suspect or convicted person), the country may be designated as having an expansionist tendency with respect to the development of such databases. By contrast, countries with a restrictive tendency are those whose legislation currently contains various constraints that restrict and limit the uses of DNA databases—for example, the imposition of limits on the types of sentences or crimes eligible for the insertion of profiles.
It should be noted that the apparent dichotomy between the expansionist and restrictive tendencies refers to the potential specific effects of legislative provisions. These effects are reflected, for example, in the proportion of the national population present in the database of each country. Table 5.1 shows the size of several forensic genetic databases in Europe. It should be pointed out that although it presents a type of “restrictive” legislation, there has been remarkable expansion over recent years, and it now occupies the third largest forensic genetic database in Europe. The database of genetic profiles in England and Wales remains the largest of all, notwithstanding recent legislative changes in the wake of the decision of the European Court of Human Rights (ECHR) following S. & Marper v. UKFootnote 1 (McCartney, Williams, & Wilson, 2010), which ordered the destruction of biological samples and the elimination of DNA profiles of acquitted suspects or persons who haven’t been accused of any crime (Amankwaa & McCartney, 2019).
Despite legislative differences in European DNA databases, the dominant trend towards their generalization and more harmonized sharing of information has been increasingly encouraged, based on the common threat of cross-border crime and terrorism. After the implementation of the Prüm Decisions (EU Council, 2008a, 2008b), in particular the parts related to sharing of information from DNA databases may lead to the need for further legislative harmonization in the various EU countries—a topic that will be further explored in Chap. 6. Given the diversity of the criteria for insertion and removal of DNA profiles and preservation of samples, it is difficult to ensure compliance with the principles of equality, proportionality and presumption of innocence in the context of the transfer of information about DNA profiles between the Member States. For example, the apparent insufficiency of a policy of standardization and monitoring of processes related to cooperation activities, and also the collection, retention, processing, interpretation and legal application of information on DNA profiles, within the framework of the planned measures (Amankwaa, 2019; McCartney, Wilson, & Williams, 2011; Santos & Machado, 2017; Toom, 2018).
Big Data in the Criminal Investigation
The topic of Big Data has gained increasing visibility in the public arena and academic studies. It is generally understood to be a phenomenon which, using digital technology, collects, stores and analyses data from various sources for certain specific purposes. A popularized assumption regarding Big Data is that its essence might be defined by using three “V’s”: volume, velocity and variety. Other characteristics can also be listed: Big Data refers to data sets with a high level of completeness (e.g., covering entire populations) that contain contextual information that can identify concrete and specific situations (e.g., instead of identifying groups or types of people, it makes it possible to identify specific persons). Also, such data sets are relational (i.e., they make it possible to compare data derived from different sources) and flexible (they can incorporate new data at any moment) (Chan & Moses, 2015; Kitchin, 2014a, 2014b).
From a sociological perspective it is crucial to address Big Data as a cultural, social and political phenomenon (Boyd & Crawford, 2012), which encompasses the following dimensions, as defined by Janet Chan and Lyria Bennett Moses:
(1) Technology: maximizing computation power and algorithmic accuracy to gather, analyze, link and compare large data sets. (2) Analysis: drawing on large data sets to identify patterns in order to make economic, social, technical and legal claims. (3) Mythology: the widespread belief that large data sets offer a higher form of intelligence and knowledge that can generate insights that were previously impossible, with the aura of truth, objectivity and accuracy. (Chan & Moses, 2015, p. 24)
The “mythological” aspect associated with Big Data finds similarities in the social imaginaries associated to forensic genetics, and is also liable to generate expectations of producing irrefutable truths in the identification of perpetrators (Lynch, Cole, McNally, & Jordan, 2008). This type of social expectation concerning Big Data opens the doors to expansion and reinforcement of surveillance practices, which will henceforth take on specific new contours while reproducing “old” practices.
A central aspect of Big Data’s implications for criminal investigation concerns the predictive and anticipatory nature of risk. This aspect of Big Data reinforces a trend that is already seen in the creation and expansion of forensic genetic databases, as described in earlier sections of this chapter. Big Data therefore emerges as a reinforcement of the trends towards foreseeing and anticipating risk: through massive quantification and new possibilities for rapid cross-checking of data from sources that until recently have been dispersed, such as the proliferation of automatic alert systems which, on an unprecedented scale, monitor people who have never had any contact with the criminal justice system (Brayne, 2017).
In the framework of criminal investigation, Big Data can, therefore, act as a means of generating intelligence for criminal investigation, making it possible to quantify assessment of risk and classify individuals according to their degree of risk. For example, Big Data techniques can serve to determine the risk that specific individuals will commit a crime or terrorist act (Ball, Di Domenico, & Nunan, 2016; Lyon, 2014). Quantification of the level of risk presented by certain individuals means that Big Data reinforces the surveillance of social groups and individuals who are more vulnerable to police suspicion, thereby consolidating social mechanisms of stigmatization and reproduction of social inequalities (Brayne, 2017; Kitchin, 2014b; Matzner, 2016; Raley, 2013).
Concluding Remarks
In the context of this chapter, DNA databases and Big Data techniques are both seen as processes through which new and effective social control modalities have been configured. Such processes are associated with political and governmental strategies for crime prevention and control, in societies that are increasingly less tolerant of “suspicious” citizens and willing to adopt more intensive regimes of social control, regulation and inspection. The analysis in this chapter is underpinned by the understanding of the concept of surveillance as the streamlined control of information in modern organizations intertwined with capitalist production and consumption systems and with the bureaucratic functioning of the State (Haggerty & Ericson, 2000; Lyon, 2004, 2014).
Notes
- 1.
S & Marper v. UK refers to a complaint lodged with the European Court of Human Rights by two individuals (S, an 11-year-old child, and Marper) against the UK. Both S. and Marper were detained in unrelated circumstances in 2001, and their fingerprints and DNA samples were collected. No accusations resulted from the arrests, which led them to ask the Chief Constable to eliminate the records. The requests were denied. After appeals against the Chief Constable’s decision to the courts and the House of Lords, it was determined that although individuals had not been charged with any crime, and despite the possible breach of privacy, fingerprint retention and DNA profiling was considered to be beneficial to society (McCartney et al., 2010). The ECHR’s decision went the other way, and determined that the retention of fingerprints and DNA profiles of suspects who haven’t been convicted constitutes a “disproportionate interference” with individuals’ rights to privacy and “cannot be taken for granted in a democratic society” (Council of Europe, 2008, par. 125).
References
Amankwaa, A. O. (2018). Forensic DNA retention: Public perspective studies in the United Kingdom and around the world. Science & Justice. https://doi.org/10.1016/j.scijus.2018.05.002
Amankwaa, A. O. (2019). Trends in forensic DNA database: Transnational exchange of DNA data. Forensic Sciences Research, 1–7. https://doi.org/10.1080/20961790.2019.1565651
Amankwaa, A. O., & McCartney, C. (2018). The UK National DNA Database: Implementation of the Protection of Freedoms Act 2012. Forensic Science International, 284, 117–128. https://doi.org/10.1016/j.forsciint.2017.12.041
Amankwaa, A. O., & McCartney, C. (2019). The effectiveness of the UK national DNA database. Forensic Science International: Synergy, 1, 45–55. https://doi.org/10.1016/J.FSISYN.2019.03.004
Ball, K., Di Domenico, M., & Nunan, D. (2016). Big Data surveillance and the body-subject. Body & Society, 22(2), 58–81. https://doi.org/10.1177/1357034X15624973
Beyleveld, D. (1997). Ethical issues in the forensic applications of DNA analysis. Forensic Science International, 88(1), 3–15.
Boersma, K., Van Brakel, R., Fonio, C., & Wagenaar, P. (Eds.). (2014). Histories of state surveillance in Europe and beyond. New York: Routledge.
Boyd, D., & Crawford, K. (2012). Critical questions for Big Data. Information, Communication & Society, 15(5), 662–679. https://doi.org/10.1080/1369118X.2012.678878
Brayne, S. (2017). Big Data surveillance: The case of policing. American Sociological Review, 82(5), 977–1008. https://doi.org/10.1177/0003122417725865
Chan, J., & Moses, L. B. (2015). Is Big Data challenging criminology? Theoretical Criminology, 20(1), 21–39. https://doi.org/10.1177/1362480615586614
Chan, J., & Moses, L. B. (2017). Making sense of Big Data for security. British Journal of Criminology, 57(2), 299–319. https://doi.org/10.1093/bjc/azw059
Chow-White, P., & Duster, T. (2011). Do health and forensic DNA databases increase racial disparities? PLoS Medicine, 8(10), e1001100–e1001100. https://doi.org/10.1371/journal.pmed.1001100
Council of Europe. (2008). Case of S. and Marper v. The United Kingdom (Applications nos. 30562/04 and 30566/04). Strasbourg. Retrieved from https://rm.coe.int/168067d216
ENFSI. (2016, June). ENFSI survey on DNA databases in Europe. Retrieved from http://enfsi.eu/wp-content/uploads/2017/01/ENFSI-Survey-on-DNA-Databases-in-Europe-June-2016.pdf
EU Council. Council Decision 2008/615/JHA of 23 June 2008 on the stepping up of cross-border cooperation, particularly in combating terrorism and cross-border crime, 2007 Official Journal of the European Union § (2008a). Official Journal of the European Union.
EU Council. Council Decision 2008/616/JHA of 23 June 2008 on the implementation of Decision 2008/615/JHA on the stepping up of cross-border cooperation, particularly in combating terrorism and cross-border crime, 2008 § (2008b). Official Journal of the European Union.
Forensic Genetics Policy Initiative. (2017). Establishing best practice for forensic DNA databases. Retrieved from http://dnapolicyinitiative.org/report/
Garland, D. (2001). The culture of control: Crime and social order in contemporary society. Oxford: Oxford University Press.
Haggerty, K. D., & Ericson, R. V. (2000). The surveillant assemblage. The British Journal of Sociology, 51(4), 605–622. https://doi.org/10.1080/00071310020015280
Hindmarsh, R., & Prainsack, B. (Eds.). (2010). Genetic suspects: Global governance of forensic DNA profiling and databasing. Cambridge: Cambridge University Press.
Interpol. (2016). Global DNA profiling survey results 2016. Retrieved from https://www.interpol.int/content/download/4875/file/GlobalDNASurvey.pdf
Kitchin, R. (2014a). Big Data, new epistemologies and paradigm shifts. Big Data & Society, 1(1), 205395171452848. https://doi.org/10.1177/2053951714528481
Kitchin, R. (2014b). The data revolution: Big Data, open data, data infrastructures and their consequences. London: Sage.
Krimsky, S., & Simoncelli, T. (2011). Genetic justice: DNA data banks, criminal investigations, and civil liberties. New York: Columbia University Press.
Lynch, M., Cole, S., McNally, R., & Jordan, K. (2008). Truth machine: The contentious history of DNA fingerprinting. Chicago: University of Chicago Press.
Lyon, D. (1992). The new surveillance: Electronic technologies and the maximum security society. Crime, Law and Social Change, 18(1–2), 159–175.
Lyon, D. (2004). Globalizing surveillance: Comparative and sociological perspectives. International Sociology, 19(2), 135–149. https://doi.org/10.1177/0268580904042897
Lyon, D. (2006). Theorizing surveillance: The panopticon and beyond. Cullopmpton, Devon: Willan Pub.
Lyon, D. (2014). Surveillance, Snowden, and Big Data: Capacities, consequences, critique. Big Data & Society, 1(2), 1–13. https://doi.org/10.1177/2053951714541861
Machado, H., & Silva, S. (2015a). Public participation in genetic databases: Crossing the boundaries between biobanks and forensic DNA databases through the principle of solidarity. Journal of Medical Ethics, 41(10), 820–824. https://doi.org/10.1136/medethics-2014-102126
Machado, H., & Silva, S. (2015b). Public perspectives on risks and benefits of forensic DNA databases: An approach to the influence of professional group, education, and age. Bulletin of Science, Technology & Society, 35(1–2), 16–24. https://journals.sagepub.com/doi/full/10.1177/0270467615616297
Marx, G. T. (2002). What’s new about the “new surveillance”? Classifying for change and continuity. Surveillance & Society, 1(1), 9–29. https://springerlink.fh-diploma.de/article/10.1007%2FBF02687074
Matzner, T. (2016). Beyond data as representation: The performativity of Big Data in surveillance. Surveillance & Society, 14(2), 197–210. https://ojs.library.queensu.ca/index.php/surveillance-and-society/article/view/beyond_data
McCartney, C., Williams, R., & Wilson, T. (2010). The future of forensic bioinformation – Executive summary. Leeds. Retrieved from https://essl.leeds.ac.uk/law-research-expertise/dir-record/research-projects/756/the-future-of-forensic-bioinformation
McCartney, C., Wilson, T., & Williams, R. (2011). Transnational exchange of forensic DNA: Viability, legitimacy, and acceptability. European Journal on Criminal Policy and Research, 17(4), 305–322. https://doi.org/10.1007/s10610-011-9154-y
Norris, C., & Armstrong, G. (1999). The maximum surveillance society: The rise of CCTV. Oxford and New York: Berg.
Nuffield Council on Bioethics. (2007). The forensic use of bioinformation: Ethical issues. London. Retrieved from http://nuffieldbioethics.org/wp-content/uploads/The-forensic-use-of-bioinformation-ethical-issues.pdf
Prainsack, B., & Aronson, J. (2015). Forensic genetic databases: Ethical and social dimensions. International Encyclopedia of the Social & Behavioral Sciences, 9, 339–345. https://doi.org/10.1016/B978-0-08-097086-8.82062-0
Raley, R. (2013). Dataveillance and countervailance. In L. Gitelman (Ed.), Raw data is an oxymoron (pp. 121–145). Cambridge, MA: MIT Press.
Santos, F., & Machado, H. (2017). Patterns of exchange of forensic DNA data in the European Union through the Prüm system. Science & Justice, 57(4), 307–313. https://doi.org/10.1016/j.scijus.2017.04.001
Santos, F., Machado, H., & Silva, S. (2013). Forensic DNA databases in European countries: Is size linked to performance? Life Sciences, Society and Policy, 9(12), 1–13. https://doi.org/10.1186/2195-7819-9-12
Skinner, D. (2012). Mobile identities and fixed categories: Forensic DNA and the politics of racialized data. In K. Schramm, D. Skinner, & R. Rottenburg (Eds.), Identity politics and the new genetics: Re/creating categories of difference and belonging (pp. 53–78). New York and Oxford: Berghahn Books.
Skinner, D. (2013). “The NDNAD has no ability in itself to be discriminatory”: Ethnicity and the governance of the UK National DNA Database. Sociology, 47(5), 976–992. https://doi.org/10.1177/0038038513493539
Skinner, D. (2018). Race, racism and identification in the era of technosecurity. Science as Culture, 1–23. https://doi.org/10.1080/09505431.2018.1523887
Toom, V. (2018). Cross-border exchange and comparison of forensic DNA data in the context of the Prüm Decision. Civil Liberties, Justice and Home Affairs. Retrieved from http://www.europarl.europa.eu/thinktank/en/document.html?reference=IPOL_STU(2018)604971
Toom, V., Granja, R., & Ludwig, A. (2019). The Prüm Decisions as an aspirational regime: Reviewing a decade of cross-border exchange and comparison of forensic DNA data. Forensic Science International: Genetics, 41, 50–57. https://doi.org/10.1016/j.fsigen.2019.03.023
Tsianos, V. S., & Kuster, B. (2016). Eurodac in times of bigness: The power of Big Data within the emerging European IT agency. Journal of Borderlands Studies, 31(2), 235–249. https://doi.org/10.1080/08865655.2016.1174606
Van Camp, N., & Dierickx, K. (2007). National forensic databases: Social-ethical challenges & current practices in the EU. Leuven: European Ethical-Legal Papers no. 9. Retrieved from http://www.academia.edu/attachments/6227872/download_file
Walsh, S. J., Buckleton, J. S., Ribaux, O., Roux, C., & Raymond, T. (2008). Comparing the growth and effectiveness of forensic DNA databases. Forensic Science International: Genetics Supplement Series I, 1(1), 667–668. https://doi.org/10.1016/j.fsigss.2007.11.011
Wienroth, M., Morling, N., & Williams, R. (2014). Technological innovations in forensic genetics: Social, legal and ethical aspects. Recent Advances in DNA and Gene Sequences, 8(2), 98–103. Retrieved from http://www.eurekaselect.com/129834/article%5Cnpapers3://publication/uuid/7539311B-9CDA-4A2B-A9AF-4F93CE7142EE
Williams, R., & Johnson, P. (2004). Circuits of surveillance. Surveillance & Society, 2(1), 1–14. https://ojs.library.queensu.ca/index.php/surveillance-and-society/article/view/3324
Wilson-Kovacs, D. (2014). “Clearly necessary”, “wonderful” and “engrossing”? Mass observation correspondents discuss forensic technologies. Sociological Research Online, 19(3), 1–16. https://doi.org/10.5153/sro.3375
Wilson-Kovacs, D., Wyatt, D., & Hauskeller, C. (2012). “A Faustian bargain?” Public voices on forensic DNA technologies and the National DNA Database. New Genetics and Society, 31(3), 285–298. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/14636778.2012.687085
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Machado, H., Granja, R. (2020). DNA Databases and Big Data. In: Forensic Genetics in the Governance of Crime. Palgrave Pivot, Singapore. https://doi.org/10.1007/978-981-15-2429-5_5
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