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The PETRAS Internet of Things Research Hub

https://www.petrashub.org/outputs/

Ahlfeldt, G., Koutroumpis, P., & Valletti, T. (2017). Speed 2.0: Evaluating Access to Universal Digital Highways. Journal of the European Economic Association, 15(3), 586–625. Retrieved from http://dx.doi.org/10.1093/jeea/jvw013

Akmal, H., & Coulton, P. (2018). Using Heterotopias to Characterise Interactions in Physical/Digital Spaces. Retrieved from http://eprints.lancs.ac.uk/123792/

Alberts, G., Gurguc, Z., Koutroumpis, P., Martin, R., Muûls, M., & Napp, T. (2016). Competition and norms: A self-defeating combination? Energy Policy, 96, 504–523. Retrieved from https://spiral.imperial.ac.uk/bitstream/10044/1/33898/9/Competition and norms.pdf

Aldrich, R. J., & Richterova, D. (2018). Ambient accountability: intelligence services in Europe and the decline of state secrecy. West European Politics, 41(4), 1003–1024. http://doi.org/10.1080/01402382.2017.1415780 Anthi, E., Williams, L., & Burnap, P. (2018). Pulse: An adaptive intrusion detection for the Internet of Things. In Living in the Internet of Things: Cybersecurity of the IoT – 2018 (pp. 1–4). http://doi.org/10.1049/cp.2018.0035

Anthonysamy, P., Rashid, A., & Chitchyan, R. (2017). Privacy Requirements: Present & Future. In Proceedings of the 39th International Conference on Software Engineering: Software Engineering in Society Track (pp. 13–22). Piscataway, NJ, USA: IEEE Press. http://doi.org/10.1109/ICSE-SEIS.2017.3

Arapinis, M., Liu, J., Ritter, E., & Ryan, M. (2017). Stateful applied pi calculus: Observational equivalence and labelled bisimilarity. Journal of Logical and Algebraic Methods in Programming, 89, 95–149. http://doi.org/https://doi.org/10.1016/j.jlamp.2017.03.001

Asuquo, P., Cruickshank, H., Morley, J., Ogah, C. P. A., Lei, A., Hathal, W., … Sun, Z. (2018). Security and Privacy in Location-Based Services for Vehicular and Mobile Communications: An Overview, Challenges and Countermeasures. IEEE Internet of Things Journal, 1. http://doi.org/10.1109/JIOT.2018.2820039

Asuquo, P., Cruickshank, H., Ogah, C. P. A., Lei, A., & Sun, Z. (2018). A Distributed Trust Management Scheme for Data Forwarding in Satellite DTN Emergency Communications. IEEE Journal on Selected Areas in Communications, 36(2), 246–256. http://doi.org/10.1109/JSAC.2018.2804098

Bao, S., Hathal, W., Cruickshank, H., Sun, Z., Asuquo, P., & Lei, A. (2018). A lightweight authentication and privacy-preserving scheme for VANETs using TESLA and Bloom Filters. ICT Express. http://doi.org/10.1016/j.icte.2017.12.001

Beck, S., Finney, J., & Knowles, B. H. (2018). How Freya Built Sharkie: Initial explorations into the safety, security, and privacy concerns of children’s IoT devices. In London Computing Education Research Symposium. Retrieved from http://eprints.lancs.ac.uk/126151/

Binns, R. (2017). Fairness in Machine Learning: Lessons from Political Philosophy. ArXiv Preprint ArXiv:1712.03586. Retrieved from https://arxiv.org/abs/1712.03586

Binns, R., Van Kleek, M., Veale, M., Lyngs, U., Zhao, J., & Shadbolt, N. (2018). “It’s Reducing a Human Being to a Percentage”: Perceptions of Justice in Algorithmic Decisions. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (p. 377:1–377:14). New York, NY, USA: ACM. http://doi.org/10.1145/3173574.3173951

Blackstock, J. (2018). Standardising a Moving Target: The Development and Evolution of IoT Security Standards. IET Conference Proceedings, 24 (9 pp.)-24 (9 pp.)(1). Retrieved from http://digital-library.theiet.org/content/conferences/10.1049/cp.2018.0024

Blythe, J. M., Michie, S., Watson, J., & Lefevre, C. E. (n.d.). Internet of Things in Healthcare: Identifying key malicious threats, end-user protective and problematic behaviours. Retrieved from https://www.ucl.ac.uk/behaviour-change/events/presentations-17/blythe.pdf

Blythe, J. M., & Lefevre, C. E. (2017). Cyberhygiene Insight Report. Retrieved from https://iotuk.org.uk/wp-content/uploads/2018/01/PETRAS-IoTUK-Cyberhygiene-Insight-Report.pdf

Boyes, H., Hallaq, B., Cunningham, J., & Watson, T. (2018). The industrial internet of things (IIoT): An analysis framework. Computers in Industry, 101, 1–12. http://doi.org/https://doi.org/10.1016/j.compind.2018.04.015

Bradbury, M., & Jhumka, A. (2017). Understanding source location privacy protocols in sensor networks via perturbation of time series. In IEEE INFOCOM 2017 – IEEE Conference on Computer Communications (pp. 1–9). http://doi.org/10.1109/INFOCOM.2017.8057122

Bradbury, M., & Jhumka, A. (2017). A Near-Optimal Source Location Privacy Scheme for Wireless Sensor Networks. In 2017 IEEE Trustcom/BigDataSE/ICESS (pp. 409–416). http://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.265

Bradbury, M., Jhumka, A., & Leeke, M. (2018). Hybrid online protocols for source location privacy in wireless sensor networks. Journal of Parallel and Distributed Computing, 115, 67–81. http://doi.org/https://doi.org/10.1016/j.jpdc.2018.01.006

Brass, I. C. (2018). Standardising IoT Security: Implications for Digital Forensics. Digital Forensics Magazine, (35), 44–48. Retrieved from http://discovery.ucl.ac.uk/10050054/13/Brass_BRA001-pdf.pdf

Brass, I. C., Sowell, J., Carr, M., & Blackstock, J. (2017). The Role of Transnational Expert Associations in Governing the Cybersecurity Risks of the Internet of Things. International Public Policy Association. Retrieved from http://discovery.ucl.ac.uk/10054015/1/59530f6763ae8.pdf

Brass, I. (2017). Cybersecurity and Liability in Autonomous and Intelligent Transport.

Brass, I., Tanczer, L., Maple, C., Blackstock, J., & Carr, M. (2018). Unbundling the emerging cyber-physical risks in connected and autonomous vehicles. Retrieved from https://alerts.pinsentmasons.com/rs/emsdocuments/Future-of-the-Car-Whitepaper-Pinsent-Masons.pdf

Breza, M., Tomic, I., & McCann, J. (2018). Failures from the Environment, a Report on the First FAILSAFE Workshop. SIGCOMM Comput. Commun. Rev., 48(2), 40–45. http://doi.org/10.1145/3213232.3213238

Bures, T., Weyns, D., Schmer, B., Tovar, E., Boden, E., Gabor, T., … Tsigkanos, C. (2017). Software Engineering for Smart Cyber-Physical Systems: Challenges and Promising Solutions. SIGSOFT Softw. Eng. Notes, 42(2), 19–24. http://doi.org/10.1145/3089649.3089656

Calvo, J. L., Tindemans, S. H., & Strbac, G. (2016). Incorporating failures of System Protection Schemes into power system operation. Sustainable Energy, Grids and Networks, 8, 98–110. Retrieved from https://www.sciencedirect.com/science/article/pii/S2352467716301242

Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach. Science and Engineering Ethics, 24(2), 505–528. http://doi.org/10.1007/s11948-017-9901-7

Catlow, R., Garrett, M., Jones, N., & Skinner, S. (2017). Artists Re: thinking the Blockchain (Vol. 1). Torque editions. Retrieved from http://eprints.lancs.ac.uk/124584/

Chen, S., Lach, J., Lo, B., & Yang, G.-Z. (2016). Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review. IEEE J. Biomedical and Health Informatics, 20(6), 1521–1537. Retrieved from https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7574303

Chizari, H., Lupu, E., & Thomas, P. (2018). Randomness of physiological signals in generation cryptographic key for secure communication between implantable medical devices inside the body and the outside world. Living in the Internet of Things: Cybersecurity of the IoT – 2018, 27 (6 pp.)-27 (6 pp.). http://doi.org/10.1049/cp.2018.0027

Choi, D.-W., Pei, J., & Heinis, T. (2017). Efficient Mining of Regional Movement Patterns in Semantic Trajectories. Proc. VLDB Endow., 10(13), 2073–2084. http://doi.org/10.14778/3151106.3151111

Coulton, P., & Lindley, J. (2017). Design Fiction: Anticipating Adoption. IEEE Pervasive Computing, 16(1), 43–47. http://doi.org/10.1109/MPRV.2017.5

Coulton, P., Lindley, J., & Cooper, R. (2018). The Little Book of Design Fiction. (C. Coulton, Ed.). Retrieved from https://www.petrashub.org/the-little-book-of-design-fiction-for-the-internet-of-things/

Craggs, B., & Rashid, A. (2017). Smart Cyber-Physical Systems: Beyond Usable Security to Security Ergonomics by Design. In 2017 IEEE/ACM 3rd International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS) (pp. 22–25). http://doi.org/10.1109/SEsCPS.2017.5

Davies, N., Clinch, S., Mikusz, M., Bates, O., Turner, H., & Friday, A. (2017). Better off: when should pervasive displays be powered down? In Proceedings of the 6th ACM International Symposium on Pervasive Displays (p. 19). ACM. Retrieved from https://core.ac.uk/download/pdf/83920831.pdf

Deligianni, F., Wong, C., Lo, B., & Yang, G. Z. (2018). A fusion framework to estimate plantar ground force distributions and ankle dynamics. Information Fusion. http://doi.org/10.1016/j.inffus.2017.09.008

Dianati, M., Shen, X., & Naik, S. (2005). A new fairness index for radio resource allocation in wireless networks. In IEEE Wireless Communications and Networking Conference, 2005 (Vol. 2, p. 712–717 Vol. 2). http://doi.org/10.1109/WCNC.2005.1424595

Edwards, M., Larson, R., Green, B., Rashid, A., & Baron, A. (2017). Panning for gold: Automatically analysing online social engineering attack surfaces. Computers & Security, 69, 18–34. http://doi.org/https://doi.org/10.1016/j.cose.2016.12.013

Floridi, L. (2018). Soft Ethics and the Governance of the Digital. Philosophy & Technology, 31(1), 1–8. http://doi.org/10.1007/s13347-018-0303-9

Floridi, L. (2016). Faultless responsibility: on the nature and allocation of moral responsibility for distributed moral actions. Phil. Trans. R. Soc. A, 374(2083), 20160112. Retrieved from http://rsta.royalsocietypublishing.org/content/374/2083/20160112

Floridi, L., & Taddeo, M. (2016). What is data ethics? Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences, 374(2083), 20160360. http://doi.org/10.1098/rsta.2016.0360

Furnell, S. (2018). Information security collaboration formation in organisations. IET Information Security, 12(3), 238–245(7). Retrieved from http://digital-library.theiet.org/content/journals/10.1049/iet-ifs.2017.0257

Ghirardello, K., Maple, C., Ng, D., & Kearney, P. (2018). Cyber security of smart homes: development of a reference architecture for attack surface analysis. Living in the Internet of Things: Cybersecurity of the IoT – 2018, 45 (10 pp.)-45 (10 pp.)(1). http://doi.org/10.1049/cp.2018.0045

Gu, C., Bradbury, M., & Jhumka, A. (2017). Phantom Walkabouts in Wireless Sensor Networks. In Proceedings of the Symposium on Applied Computing (pp. 609–616). New York, NY, USA: ACM. http://doi.org/10.1145/3019612.3019732

Gu, C., Bradbury, M., Kirton, J., & Jhumka, A. (2018). A decision theoretic framework for selecting source location privacy aware routing protocols in wireless sensor networks. Future Generation Computer Systems. http://doi.org/10.1016/j.future.2018.01.046

Hadian, A., & Heinis, T. (2018). Towards Batch-Processing on Cold Storage Devices. In 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW) (pp. 134–139). http://doi.org/10.1109/ICDEW.2018.00028

Hay, D., Buyuklieva, B., Daothong, J., Edmonds, B., Hudson-Smith, A., Milton, R., & Wood, J. (2018). IoT in the wild: what negotiating public deployments can tell us about the state of the Internet of Things. Living in the Internet of Things: Cybersecurity of the IoT – 2018, 17 (6 pp.)-17 (6 pp.)(1). http://doi.org/10.1049/cp.2018.0017

He, H., Maple, C., Watson, T., Tiwari, A., Mehnen, J., Jin, Y., & Gabrys, B. (2016). The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence. In Evolutionary Computation (CEC), 2016 IEEE Congress on (pp. 1015–1021). IEEE. Retrieved from http://eprints.bournemouth.ac.uk/24677/1/He_et_al_IoT_Challenges_CEC_2016.pdf

Heinis, T., & Ailamaki, A. (2017). Data Infrastructure for Medical Research. Foundations and Trends® in Databases, 8(3), 131–238. http://doi.org/10.1561/1900000050

HM Government. (2015). Digital Built Britain Level 3 Building Information Modelling – Strategic Plan. Digital Built Britain, (February), 1–47. http://doi.org/URN BIS/15/155

Illiano, V. P., Paudice, A., Muñoz-González, L., & Lupu, E. C. (2018). Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks. ACM Transactions on Sensor Networks (TOSN), 14(1), 5. Retrieved from https://spiral.imperial.ac.uk/handle/10044/1/55080

Ivanov, I., Maple, C., Watson, T., & Lee, S. (2018). Cyber security standards and issues in V2X communications for Internet of Vehicles. In Living in the Internet of Things: Cybersecurity of the IoT – 2018 (pp. 1–6). http://doi.org/10.1049/cp.2018.0046

Janeček, V. (2018). Ownership of personal data in the Internet of Things. Computer Law & Security Review, 34(5), 1039–1052. http://doi.org/https://doi.org/10.1016/j.clsr.2018.04.007

Jhumka, A., & Bradbury, M. (2017). Deconstructing Source Location Privacy-aware Routing Protocols. In Proceedings of the Symposium on Applied Computing (pp. 431–436). New York, NY, USA: ACM. http://doi.org/10.1145/3019612.3019655

Jhumka, A., & Mottola, L. (2016). Neighborhood view consistency in wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 12(3), 19. Retrieved from https://re.public.polimi.it/retrieve/handle/11311/1027581/213771/jhumka16view.pdf

Katsaros, K., & Dianati, M. (2017). A cost-effective SCTP extension for hybrid vehicular networks. Journal of Communications and Information Networks, 2(2), 18–29. Retrieved from https://link.springer.com/article/10.1007/s41650-017-0021-y

Kirton, J., Bradbury, M., & Jhumka, A. (2017). Source Location Privacy-Aware Data Aggregation Scheduling for Wireless Sensor Networks. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (pp. 2200–2205). http://doi.org/10.1109/ICDCS.2017.171

Kleek, M. Van, Seymour, W., Binns, R., & Shadbolt, N. (2018). Respectful things: Adding social intelligence to “smart” devices. In Living in the Internet of Things: Cybersecurity of the IoT – 2018 (pp. 1–6). http://doi.org/10.1049/cp.2018.0006

Knowles, B., Finney, J., Beck, S., & Devine, J. (2018). What children’s imagined uses of the BBC micro:bit tells us about designing for their IoT privacy, security and safety. In Living in the Internet of Things: Cybersecurity of the IoT – 2018 (pp. 1–6). http://doi.org/10.1049/cp.2018.0015

Kolodenker, E., Koch, W., Stringhini, G., & Egele, M. (2017). PayBreak: Defense against cryptographic ransomware. In Proceedings of the 2017 ACM Asia Conference on Computer and Communications Security (ASIACCS) (pp. 599–611). ACM (Association for Computing Machinery). Retrieved from http://www0.cs.ucl.ac.uk/staff/G.Stringhini/papers/ransomware-ASIACCS2017.pdf

Koutroumpis, P., & Leiponen, A. (2016). Crowdsourcing mobile coverage. Telecommunications Policy, 40(6), 532–544. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0308596116000410

Langheinrich, M. (2018). Raising Awareness of IoT Sensor Deployments. IET Conference Proceedings, 9 (8 pp.)-9 (8 pp.)(1). Retrieved from http://digital-library.theiet.org/content/conferences/10.1049/cp.2018.0009

Latinopoulos, C., Sivakumar, A., & Polak, J. W. (2017). Response of electric vehicle drivers to dynamic pricing of parking and charging services: Risky choice in early reservations. Transportation Research Part C: Emerging Technologies, 80, 175–189. http://doi.org/https://doi.org/10.1016/j.trc.2017.04.008

Latinopoulos, C., Daina, N., & Polak, J. W. (2018). Trust in IoT-enabled mobility services: Predictive analytics and the impact of prediction errors on the quality of service in bike sharing. IET Conference Publications, 2018(CP740), 44 (7 pp.)-44 (7 pp.)(1). http://doi.org/10.1016/0013-7944(92)90299-T

Le Vine, S., Kong, Y., Liu, X., & Polak, J. (2017). Vehicle automation and freeway ‘pipeline’ capacity in the context of legal standards of care. Transportation. http://doi.org/10.1007/s11116-017-9825-8

Le Vine, S., & Polak, J. (2017). The impact of free-floating carsharing on car ownership: Early-stage findings from London. Transport Policy. http://doi.org/https://doi.org/10.1016/j.tranpol.2017.02.004

Lei, A., Cruickshank, H., Cao, Y., Asuquo, P., Ogah, C. P. A., & Sun, Z. (2017). Blockchain-based dynamic key management for heterogeneous intelligent transportation systems. IEEE Internet of Things Journal, 4(6), 1832–1843. Retrieved from https://ieeexplore.ieee.org/abstract/document/8010820

Li, T., Heinis, T., & Luk, W. (2017). ADvaNCE–Efficient and Scalable Approximate Density-Based Clustering Based on Hashing. Informatica, 28(1), 105–130. Retrieved from https://www.mii.lt/informatica/pdf/INFO1136.pdf

Lindley, J. G., & Coulton, P. (2017). On the Internet Everybody Knows You’re a Whatchamacallit (or a Thing). In CHI 2017 Workshop. Retrieved from http://eprints.lancs.ac.uk/84761/

Lindley, J. G., Coulton, P., & Akmal, H. (2018). Turning Philosophy with a Speculative Lathe: Object Oriented Ontology, Carpentry, and Design Fiction.

Lindley, J. G., Coulton, P., Akmal, H., & Knowles, B. H. (2017). Anticipating GDPR in Smart Homes Through Fictional Conversational Objects. Retrieved from http://eprints.lancs.ac.uk/87438/1/Anticipating_GDPR_in_Smart_Homes_Through_Fictional_Conversational_Objects.pdf

Lindley, J., Coulton, P., & Cooper, R. (2017). Why the Internet of Things needs Object Orientated Ontology. The Design Journal, 20(sup1), S2846–S2857. http://doi.org/10.1080/14606925.2017.1352796

Lindley, J., Coulton, P., & Cooper, R. (2017). Not on Demand: Internet of Things Enabled Energy Temporality. In Proceedings of the 2017 ACM Conference Companion Publication on Designing Interactive Systems (pp. 23–27). New York, NY, USA: ACM. http://doi.org/10.1145/3064857.3079112

Lindley, J., Coulton, P., & Sturdee, M. (2017). Implications for Adoption. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 265–277). New York, NY, USA: ACM. http://doi.org/10.1145/3025453.3025742

Liu, J., Jager, T., Kakvi, S. A., & Warinschi, B. (2018). How to build time-lock encryption. Designs, Codes and Cryptography, 86(11), 2549–2586. http://doi.org/10.1007/s10623-018-0461-x

Lo, B. P. L., Ip, H., & Yang, G.-Z. (2016). Transforming health care: body sensor networks, wearables, and the Internet of Things. Retrieved from https://spiral.imperial.ac.uk/bitstream/10044/1/33458/3/Transforming Heathcare v3_ed_BL_Oct 30 2015.pdf

Lombardi, F., Aniello, L., De Angelis, S., Margheri, A., & Sassone, V. (2018). A Blockchain-based Infrastructure for Reliable and Cost-effective IoT-aided Smart Grids. In Living in the Internet of Things: Cybersecurity of the IoT – 2018. http://doi.org/10.1049/cp.2018.0042

Lundbæk, L.-N., Janes Beutel, D., Huth, M., Jackson, S., Kirk, L., & Steiner, R. (2018). Proof of Kernel Work: a democratic low-energy consensus for distributed access-control protocols. Royal Society Open Science, 5(8). Retrieved from http://rsos.royalsocietypublishing.org/content/5/8/180422.abstract

Lustgarten, P., & Le Vine, S. (2018). Public priorities and consumer preferences for selected attributes of automated vehicles. Journal of Modern Transportation, 26(1), 72–79. http://doi.org/10.1007/s40534-017-0147-5

Mace, J. C., Morisset, C., Pierce, K., Gamble, C., Maple, C., & Fitzgerald, J. (2018). A multi-modelling based approach to assessing the security of smart buildings. IET. Retrieved from https://ieeexplore.ieee.org/abstract/document/8379718

Maxwell, D., Speed, C., & Pschetz, L. (2017). Story Blocks: Reimagining narrative through the blockchain. Convergence, 23(1), 79–97. http://doi.org/10.1177/1354856516675263

Mike, D., Susan, Y. L. W., Irene, C. L. N., & Carsten, M. (2017). Consumer Perceived Vulnerability, privacy calculus and information disclosure: an empirical investigation in retailer loyalty program. In Naples Forum on Service. Sorrento, Italy.

Mikusz, M., Bates, O., Clinch, S., Davies, N., Friday, A., & Noulas, A. (2016). Poster: Understanding Mobile User Interactions with the IoT. Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion, 1(Jan 2015), 140. http://doi.org/10.1145/2938559.2938607

Mikusz, M., Clinch, S., Shaw, P., Davies, N., & Nurmi, P. (2018). Using Pervasive Displays to Aid Student Recall -Reflections on a Campus-Wide Trial. In Proceedings of the 7th ACM International Symposium on Pervasive Displays (p. 6:1–6:8). New York, NY, USA: ACM. http://doi.org/10.1145/3205873.3205882

Mikusz, M., Noulas, A., Davies, N., Clinch, S., & Friday, A. (2016). Next generation physical analytics for digital signage. In Proceedings of the 3rd International on Workshop on Physical Analytics (pp. 19–24). ACM. Retrieved from http://eprints.lancs.ac.uk/80300/1/Next_Generation_Physical_Analytics_for_Digital_Signage.pdf

Milton, R., Hay, D., Gray, S., Buyuklieva, B., & Hudson-Smith, A. (2018). Smart IoT and soft AI. IET Conference Publications, 2018(CP740), 16 (6 pp.)-16 (6 pp.)(1). http://doi.org/10.1049/cp.2018.0016

Milton, R., Buyuklieva, B., Hay, D., Hudson-Smith, A., & Gray, S. (2018). Talking to GNOMEs: Exploring Privacy and Trust Around Internet of Things Devices in a Public Space. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (p. LBW632:1–LBW632:6). New York, NY, USA: ACM. http://doi.org/10.1145/3170427.3188481

Mistry, M., D’Iddio, A. C., Huth, M., & Misener, R. (2018). Satisfiability modulo theories for process systems engineering. Computers & Chemical Engineering, 113, 98–114. http://doi.org/https://doi.org/10.1016/j.compchemeng.2018.03.004

Mittelstadt, B. (2017). From Individual to Group Privacy in Big Data Analytics. Philosophy & Technology, 30(4), 475–494. http://doi.org/10.1007/s13347-017-0253-7

Mittelstadt, B. (2017). Ethics of the health-related internet of things: a narrative review. Ethics and Information Technology, 19(3), 157–175. http://doi.org/10.1007/s10676-017-9426-4

Mittelstadt, B. (2017). Designing the Health-related Internet of Things: Ethical Principles and Guidelines. Information. http://doi.org/10.3390/info8030077

Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679. Retrieved from http://journals.sagepub.com/doi/pdf/10.1177/2053951716679679

Mukisa, S. S., & Rashid, A. (2017). Challenges of Privacy Requirements Modelling in V2X Applications: A Telematic Insurance Case Study. In 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW) (pp. 97–103). http://doi.org/10.1109/REW.2017.48

Muñoz-González, L., & Lupu, E. C. (2019). The Security of Machine Learning Systems BT – AI in Cybersecurity. In L. F. Sikos (Ed.), (pp. 47–79). Cham: Springer International Publishing. http://doi.org/10.1007/978-3-319-98842-9_3

Ng, I. C. L., & Wakenshaw, S. Y. L. (2017). The Internet of Things: Review and Research Directions. International Journal of Research in Marketing, 34(1), 3–21. http://doi.org/10.1016/j.ijresmar.2016.11.003

Nissen, B., Symons, K., Tallyn, E., Speed, C., Maxwell, D., & Vines, J. (2017). New Value Transactions: Understanding and Designing for Distributed Autonomous Organisations. In Proceedings of the 2017 ACM Conference Companion Publication on Designing Interactive Systems (pp. 352–355). New York, NY, USA: ACM. http://doi.org/10.1145/3064857.3064862

Nurse, J. R. C., Creese, S., & Roure, D. De. (2017). Security Risk Assessment in Internet of Things Systems. IT Professional, 19(5), 20–26. http://doi.org/10.1109/MITP.2017.3680959

Nurse, J. R. C., Radanliev, P., Creese, S., & De Roure, D. (2018). If you can’t understand it, you can’t properly assess it! The reality of assessing security risks in Internet of Things systems. IET Conference Proceedings. http://doi.org/10.1049/cp.2018.0001

Oehmichen, A., Guitton, F., Sun, K., Grizet, J., Heinis, T., & Guo, Y. (2017). eTRIKS analytical environment: A modular high performance framework for medical data analysis. In 2017 IEEE International Conference on Big Data (Big Data) (pp. 353–360). http://doi.org/10.1109/BigData.2017.8257945

Olma, M., Tauheed, F., Heinis, T., & Ailamaki, A. (2017). BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory. In Proceedings of the 29th International Conference on Scientific and Statistical Database Management (p. 15:1–15:12). New York, NY, USA: ACM. http://doi.org/10.1145/3085504.3085519

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literature-for-all-blog · 6 years

Text

Session 2 of the Program

Subject: Examining lack of representation within the classroom while exploring the benefits of including multicultural children’s literature as a possible solution.

Topic: Using culturally authentic children’s literature to breakdown stereotypes regarding race, gender, ability, familial structures/sexuality, to enforce a sentiment of inclusiveness and tolerance in the young minds of students.

Objective: Participants will be able to identify certain stereotypes in society and how these stereotypes can be reflected within literature. Participants will also learn that the idea of multicultural literature extends beyond looking just at racial representations but the representations of various facets such as gender, professions, family structures, and sexuality. Participants will be able to relate their findings to the readings provided and expected to educate their peers on their particular topic. They will analyze children’s books that will be provided in order to see what kinds of books are inclusive and showcase quality children’s literature.

Purpose: The purpose of this session is to convey the fact that multicultural children’s literature should be inter-sectional. Race is not the only aspect that needs to be addressed in order to build tolerance within children. As the world grows more and more diverse in different ways including gender, sexuality, ability, and family, students should be exposed to these different facets to be exposed to different people and lifestyles in order to internalize the same message we want them to take when it comes to race; the message that everyone is different and should be valued and respected.

Summary of Tasks: To begin the session, participants will be split up into four different groups. Each group will be given a different aspect that they will be in charge of looking into for the session. The groups will be assigned the following:

Group one: Stereotypes projected upon girls/women and boys/men.

Group two: Stereotypes based on ability. (How people with different disabilities are portrayed by others).

Group three: Stereotypes based on race.

Group four: Stereotypes about family structures and sexuality.

Giving the students ten minutes to complete the task, they will use a sheet from a Post-It Easel Pad, to write different stereotypes that they have seen in society or literature that relate to their topic. After each group is finished they will stick the sheet onto the wall and each group will be given five minutes to go around the room and read what the other groups have come up with. After this is complete, each group will be asked to present what stereotypes they have included for their topic, as well as how they are portrayed in children’s literature. Example: For stereotypes about girls, the group could have said “girls/women cook and clean” and they could say children’s literature often portrays the mother figure as doing such activities.

Each group will be given a reading corresponding to their topic.

Group one: Gender Stereotypes in Children’s Books: Their Prevalence and Influence on Cognitive and Affective Development by Sharyl Bender Peterson and Mary Alyce Lach.

Group two: Disability Bias in Children’s Literature by Ellen Rubin and Emily Strauss Watson.

Group three: Gender, Racial, and Ethnic Misrepresentation in Children’s Books: A Comparative Look by Hani Morgan

Group four: Investigating Shifts in Diverse Family Structures in Newberry Award and Honor Books Utilizing U.S. Census Data, 1930-2010 by Shannon M. Despain, Michael O. Tunnell, Brad Wilcox, and Timothy G. Morrison with a focus on pages 329 to 334, and look at the overall results from each decade.

While going over these readings, they should summarize the main argument and points of the articles in order to share with their peers later on.

After reading the articles pertaining to their topic, participants will be given various books that have to do with their topic. These books have been selected due to the way they address these topics without giving in to stereotypes. (These are recommended books, any books about the topics that fit the criteria of quality multicultural literature can be used; it does not have to be these books).

Group one will analyze: Amazing Grace by Mary Hoffman, The Paper Bag Princess by Robert Munsch, Allie’s Basketball Dream by Barbara E. Barber, William’s Doll by Charlotte Zolotow, I am Jazz by Jessica Herthel and Jazz Jennings, Jacob’s New Dress by Sarah and Ian Hoffman.

Group two will analyze: My Brother Charlie by Holly Robinson Peete, We’ll Paint the Octopus Red by Stephanie Stuve-Bodeen, The Alphabet War by Diane Burton Robb, Keep Your Ear on the Ball by Genevieve Petrillo, and Just Because by Rebecca Elliot.

Group three will analyze: City Shapes by Diana Murray, Thunder Boy Jr. by Sherman Alexie, The Quickest Kid in Clarksville by Pat Zietlow Miller, Last Stop on Market Street by Matt de la Pena, Mamá The Alien by Rene Colato Lainez.

Group four will analyze: Jalapeno Bagels by Natasha Wing, Donovan’s Big Day by Leslea Newman, Tell Me Again About the Night I Was Born by Jamie Lee Curtis, Who’s In a Family by Robert Skutch, Daddy, Papa, and Me by Leslea Newman.

The groups will be given 10 minutes to look over these books. The groups should compare the books to what they wrote about stereotypes. They should answer the following questions: Does this book include any stereotypes we have identified? How does this book break stereotypical boundaries? What message does this book convey to readers? Who would benefit from being exposed to this book? How do these books connect to the content in the readings they were given?

After, each group will present to the class by sharing their findings and taking the opportunity to educate the other groups on their topic.

Materials/Equipment:

Post-It Easel Pad (or posters) for students to write on and hang up.

Quality multicultural children’s books that encompass the following topics: gender stereotypes, disability stereotypes, racial stereotypes, and family/sexuality stereotypes.

Readings that are provided for groups to discuss.

References:

Morgan, H. (2009). Gender, Racial, and Ethnic Misrepresentation in Children's Books: A Comparative Look. Childhood Education, 85. Retrieved December 3, 2017, from http://www.acei.org

Rubin, E., & Strauss Watson, E. (1987). Disability Bias in Children's Books. The Lion and the Unicorn, 11(1), 60-67. Retrieved December 3, 2017, from http://www.longwood.edu/staff/miskecjm/11%201%20rubin.pdf

Bender Peterson, S., & Lach, M. A. (n.d.). Gender Stereotypes in Children’s Books: Their Prevalence and Influence on Cognitive and Affective Development. Gender and Education,2(2). Retrieved December 3, 2017, from http://web.a.ebscohost.com/ehost/detail/detail?vid=4&sid=c28cba4e-798f-4933-8da0-395df11f2287%40sessionmgr4009&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#AN=EJ419461&db=eric

Despain, S. M., Tunnell, M. O., Wilcox, B., & Morrison, T. G. (2015). Investigating Shifts in Diverse Family Structures in Newbery Award and Honor Books Utilizing U.S. Census Data, 1930–2010. Literacy Research and Instruction, 316-340. Retrieved December 3, 2017, from http://www.tandfonline.com/doi/full/10.1080/19388071.2015.1061072

Citations for Children’s books used will be included after the keep reading link.

Hoffman, M., & Binch, C. (2016). Amazing Grace. New York, NY: Dial Books for Young Readers.

Munsch, R., & Martchenko, M. (n.d.). The Paper Bag Princess. 1980: Annick Press and Discus Books.

Barber, B. E., & Ligasan, D. (1996). Allie's Basketball Dream. Houghton Mifflin.

Zolotow, C., & Pene du Bois, W. (1985). William's Doll. Harper Collins .

Herthel, J., Jennings, J., & McNicholas, S. (2014). I am Jazz. Dial Books for Young Readers.

Hoffman, I., Hoffman, S., & Case, C. (2014). Jacob's New Dress. Albert Whitman & Company.

Stuve-Bodeen, S., & DeVito, P. (1998). We'll Paint the Octopus Red. Woodbine House.

Robinson Peete, H., Elizabeth Peete, R., & Evans, S. W. (2010). My Brother Charlie. Scholastic Inc.

Burton Robb, D. (2004). The Alphabet War. Whitman, Albert & Company.

Petrillo, G., & Lyon, L. (2009). Keep Your Ear on the Ball. Tilbury House.

Elliott, R. (2010). Just Because . Lion Hudson.

Murray, D., & Collier, B. (2016). City Shapes. Little, Brown Books for Young Readers.

Alexie, S., & Morales, Y. (2016). Thunder Boy Jr. Little, Brown Books for Young Readers.

Zietlow Miller, P., & F. M. (2016). The Quickest Kid in Clarksville. Chronicle Books LLC.

De La Pena, M., & Robinson, C. (2015). Last Stop on Market Street. Penguin Young Readers Group.

Colato Lainez, R., & Lacamara, L. (2016). Mama the Alien. Children's Book Press.

Wing, N., & Casilla, R. (1996). Jalapeno Bagels. Atheneum Books for Young Readers.

Newman, L., & Dutton, M. (2011). Donovan's Big Day. Random House Children's Books.

Curtis, J. L., & Cornell, L. (2000). Tell Me Again About the Night I Was Born. HarperCollins.

Skutch, R., & Nienhaus, L. (1997). Who's in a Family? Random House Children's Books.

Newman, L., & Thompson, C. (2009). Daddy, Papa, and Me. Random House Children's Books.

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