COMP 5900 K Winter Term 2023 cross-listed with COMS5225
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COMP 5900 K Winter Term 2023 cross-listed with COMS5225
Selected Topics in Computer Science
Data Science, Ethics and Society / Critical Data Studies
Course Information
Instructor: Tracey P. Lauriault
Contact: Tracey.Lauriault@Carleton.ca
Classroom: Canal Building 2400
Lectures: Mondays 14:30-17:30 (in-person)
Tutorials: N/A
Course Website: https://brightspace.carleton.ca/d2l/home.
Graduate courses only: Brightspace access for University of Ottawa Students; please see
information here: https://gradstudents.carleton.ca/faculty-of-graduate-and-postdoctoral-
affairs-access-to-brightspace/
Teaching Assistants
N/A
Course Calendar Description
COMP 5900 [0.5 credit] (CSI 5140) Selected Topics in Computer Science
Selected topics, not covered by other graduate courses. Details will be available from the
School at the time of registration.
Required Textbook(s) and Other Resources
See course outline for readings, these will be available from ARES in Brightspace. NOTE,
readings will be divided among the students Week 1, each week each student will have
approximate 3 readings. Reference materials are not compulsory readings.
SCS Laptop Requirement (only applies to on-campus courses)
Please bring your laptop or tablet for in-class activities.
Topics Covered and Learning Outcomes
The emphasis is to learn to envision data genealogically, as a social and technical assemblages,
as infrastructure and reframe them beyond technological conceptions. During the term we will
explore data, facts and truth; the power of data both big and small; governmentality and
biopolitics; risk, probability and the taming of chance; algorithmic culture, dynamic nominalism,
categorization and ontologies; the translation of people, space and social phenomena into and
by data and software and the role of data in the production of knowledge.
1This class format is in person, a graduate MA seminar and a collaborative workshop. We will
work with Ottawa Police Services and critically examine the socio-technological data
assemblage of the OPS with a particular focus on demographic data collection. This includes a
fieldtrip to the Elgin Street station; a tour of the 911 communication centre and meeting with
data experts.
Assessment Scheme
1. Data Description & Conceptualization, 3-pages Week 2 Jan. 16 10%
2. Weekly 1-2 page (max) reading reflections Pick 5 of 11 20%
3. In-Class Indigenous Data Map Assignment Week 7 Feb. 27 10%
4. Research Paper and Poster Project Total 60%
4.1 Field Trip Ottawa Police Services Week 4 Jan. 30
4.2 Paper & Poster Project Proposal – Quad Chart Week 5 Feb. 6 5%
4.3 DRAFT Paper outline & Poster Abstract - Peer Review Week 6 Feb.13
4.4 Submit Poster Abstract (CULearn & CUIDS) TBD 5%
4.5 Draft Poster for In-Class Peer Review Week 9 Mar. 13
4.6 Print Final Poster & Submit to CULearn Week 10 Mar. 20 15%
4.7 Submit draft research paper for peer review Week 11 Mar. 27
4.8 Attend Data Day 9.0 Week 11, Mar. 28
4.9 Submit Final Research Paper to CULearn, 15-20 pages Week 13 Apr. 10 35%
Total 100%
1. Data Description and Conceptualization - Due Week 2, Jan. 16, 9:00AM (10%):
Select a Canadian dataset related to this year’s theme of police data. In a total of 3 pages
describe these data in the form of an analytical report to a superior who must decide if
these data are fit for purpose. Technical descriptions of data generally include the
following, but do not be limited to this: format, sample size, headings, metadata, licences
and terms of use, data dissemination method, publisher, producing institution, authors,
methodology, dates, geography, classifications, models, methods, etc. Be sure to cite the
dataset & provide the URL, cite any related documentation, you can use footnotes,
images and tables if useful. Get to know these data. You will also conceptually frame
these data according to Kitchin's conceptualizations and identify any elements of the
socio-technological assemblage. This can be done in a table. How might these data inform
your final paper? NOTE: Images, tables and references will not go against your page
count.
2. Weekly 1-2-page Reading Reflections (20%) submit 5 of 11 Weeks Mondays by 9:00AM:
Students are asked to submit weekly critical reflections of a combination of a set of
readings, thematic readings and thematic encyclopaedia readings. Students will
conceptually integrate the material for that week and will identify concepts that may
inform their paper and/or poster project. The reflection should end with a question for
the class.
23. Indigenous knowledge and communication infrastructure in-class mapping Assignment
Week 7 Feb. 27 (10%)
This assignment will be conducted during class time in the MacOdrum Library.
4. Research paper and poster project – Data and Policing:
Students will demonstrate their familiarity with the course material by applying critical
data studies concepts and theories related to this year’s theme which is data related to
policing, maps, crime statistics and governance. This consists of a paper proposal, a
conference abstract, a poster to be presented poster at the Data Day 9.0 Conference on
March 28 organized by the Carleton Institute for Data Science and a final research paper.
The research paper will aim to address a specific research question. It is evidence
informed and must involve a combination of academic and grey literature and include a
series of recommendations for our community partner to consider.
4.1 Field Trip to the downtown Ottawa Police Communication Centre Week 4, Jan. 30
Details to follow.
4.2 Poster Project Proposal, 1-page Quad Chart, Week 5 Feb.6 (5%)
1. Introduce what you will examine and why
2. Provide two potential research questions
3. State your methodological approach, concepts, etc.
4. References
4.3 DRAFT Outline of the paper and poster abstract for peer review Week 6, Feb. 13
Follow the CUIDS instructions once available.
4.4 Submit Final Poster Abstract to CUIDS & Brightspace date TBD (5%)
4.5 Digital Draft of Poster for In-Class Peer Review Week 9 Mar. 13, in class
See CUIDS instructions. Note that a poster is a form of scholarly communication common
in science and engineering. You will adapt this format to critical data studies and your
topic. This is not an infographic. Here are some useful guidelines:
o NYU Libraries Guide: http://guides.nyu.edu/c.php?g=276826&p=1846154
o Urbana Champaign Library Guide:
http://guides.library.illinois.edu/c.php?g=347412&p=2343433
o 10 Simple Rules for a Good Poster Presentation:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1876493/
4.6 Print poster and submit digital copy to CULearn Week 10 Mar. 20 (15%)
If your poster is accepted for Data Day 9.0 a printout of your poster will be required and
generally there is a cost to this (+/-40$). Should your poster not be accepted a digital copy
only is to be submitted. Whether or not your poster is accepted does not affect your
mark.
4.7 Submit a draft paper for peer review Week 11, March 27
4.8 Attend Data Day 9.0 Poster Session Week 11 on Tuesday Mar. 28
34.9 Submit final research paper to Brightspace Week 13 April 10, 35%. A copy of the paper
and poster will also be shared, with your consent to Cameron Hopgood and Anita Grace at
OPS.
Assignment instructions:
• Submit to Brightspace
• Format: .doc, .docx, .rtf (NOT .pdf NOT .Pages)
• Use 12 pt. font, 1.5 line spacing, 1-inch margins and indent paragraphs
• Include page numbers, captions for figures and tables, use formatting styles
• Citation style: Chicago, Harvard, APA, or any other system, just be consistent, footnotes are
acceptable
• Include a document header as follows:
COMS5225/COMP5900 Critical Data Studies, Submitted to: Dr. Tracey P. Lauriault,
Assignment #, DATE, Phillip Atiba Goff, Student ID
• File naming convention:
AtibaGoffPhillip _ COMS5225_COMP5900_Assignment1
Late Policy: Do not be late!
Readings & Schedule
Week 1 (Jan.9) –What are data? Facts? Data-based Reasoning?
This first class will be informed by:
Hovland, John (2011) Numbers: Their Relation to Power and Organization, Ch. 1 in
Rudinow Saetan, Anne, Mork Lomell, Heidi and Hammer, Svein (eds) The Mutual
Construction of Statistics and Society, Routledge.
Welcome!
Kitchin, R., 2022, The Data Revolution: A critical Analysis of Big data, Open Data & Data
Introductions&
Infrastructures, 2nd Edition, Sage. Chapter 1. Introducing Data & Chapter 2. Critical
exchange of
Data Studies
data stories,
Porter, T. M. (1986), Statistics as Social Science, Ch.1 in The Rise of Statistical Thinking
review the
1820-1900, Princeton University Press.
schedule. PLS
Compulsory Encyclopaedic Readings:
read the
Gartner, Rosemary (2015) Crime: Knowledge about and Prevalence. In International
encyclopaedia
Encyclopaedia of the Social & Behavioral Sciences, 164–69. Elsevier, 2015.
entries and
https://doi.org/10.1016/B978-0-08-097086-8.45004-X
watch the
Hughes, Lorine A., and James F. Short. (2015) Crime, Sociology Of.” In International
videos. We will
Encyclopaedia of the Social & Behavioral Sciences, 189–93. Elsevier,
conduct a
https://doi.org/10.1016/B978-0-08-097086-8.45016-6.
small in-class
Compulsory Videos:
activity.
Abt, Thomas. n.d. “Thomas Abt: Why Violence Clusters in Cities -- and How to Reduce It |
TED Talk.” Accessed January 2, 2023.
https://www.ted.com/talks/thomas_abt_why_violence_clusters_in_cities_and_how_t
o_reduce_it/transcript.
4Goff, Dr Phillip Atiba. n.d. “Dr Phillip Atiba Goff: How We Can Make Racism a Solvable
Problem -- and Improve Policing | TED Talk.” Accessed January 2, 2023.
https://www.ted.com/talks/dr_phillip_atiba_goff_how_we_can_make_racism_a_solv
able_problem_and_improve_policing.
Thematic Reference Material:
OPS “Equity, Diversity and Inclusion.” 2022. December 5, 2022. https://ottawapolice-icrt-
ops1.esolg.ca/en/who-we-are/equity-diversity-and-inclusion.aspx.
Centre for Police Equity “Justice Navigator.” n.d. Accessed January 2, 2023.
https://justicenavigator.org/report/sample-assessment-2021/summary.
Council on Criminal Justice “Assessing the Evidence - Policing by the Numbers.” n.d.
Accessed January 2, 2023. https://counciloncj.foleon.com/policing/assessing-the-
evidence/policing-by-the-numbers/.
Week 2 (Jan. 16) – Indicators and Performance Measures
Compulsory Readings:
Behn, Robert D. (2014) The PerformanceStat Potential, Brookings Institution Press.
• Ch. 8, Collecting the Data, pp.123-144.
• Ch. 9, Analyzing and Learning from the Data, pp. 145-171.
This week Hammer, Svein (2011) Governing by Indicators and Outcomes: A Neoliberal
we learn Governmentality, Ch. 4 in Rudinow Saetan, Anne, Mork Lomell, Heidi and Hammer,
what data Svein (eds) The Mutual Construction of Statistics and Society, Routledge.
assemblages Kitchin, Rob; Lauriault, Tracey P. and McArdle, Gavin (2014) Knowing and governing cities
are and through urban indicators, city benchmarking and real-time dashboards, Regional Studies
explore the and Regional Science http://dx.doi.org/10.1080/21681376.2014.983149
world of Sparrow, Malcolm K. (2018), Measuring Performance in a Modern Police Organization,
indicators. 2018, Psychosociological Issues in Human Resource Management 2:17-52.
We will also https://www.ceeol.com/search/article-detail?id=419835
prepare for Compulsory Encyclopaedic Readings:
the Ottawa Cutler, Tony. 2015. New Managerialism and New Public Sector Management. In
Police International Encyclopedia of the Social & Behavioral Sciences (Second Edition), edited
Service field by James D. Wright, 770–75. Oxford: Elsevier. https://doi.org/10.1016/B978-0-08-
trip by 097086-8.28063-X.
familiarizing Deflem, Mathieu, and Samantha Hauptman. (2015) Policing. In International Encyclopaedia
ourselves of the Social & Behavioral Sciences, 260–65. Elsevier, https://doi.org/10.1016/B978-0-
with the 08-097086-8.45007-5.
indicators McCall, Patricia L., and Joshua A. Hendrix. (2015) Crime Trends and Debates. In
that matter International Encyclopaedia of the Social & Behavioral Sciences, 194–202. Elsevier,
to the OPS. https://doi.org/10.1016/B978-0-08-097086-8.45050-6.
Thematic Reference Materials:
Ottawa Police Service Annual Report, budgets
City of Ottawa (2017) Budget, https://ottawa.ca/en/news/budget-2017#adopted-budget-
2017-alternative-accessible-format
5Canadian Association of Chiefs of Police, Police Information and Statistics (POLIS)
Committee, https://www.cacp.ca/police-information-and-statistics-polis-
committee.html
Canadian Association of Chiefs of Police “Equity, Diversity & Inclusion Committee - CACP.”
n.d. Accessed January 2, 2023. https://www.cacp.ca/equity-diversity-
inclusion.html#532.
Canada, Public Safety. 2018. Measuring the Performance of the Police: The Perspective of
the Public. December 21, 2018.
https://www.publicsafety.gc.ca/cnt/rsrcs/pblctns/2015-r034/index-en.aspx.
Indicator Reference Material:
Bollen, Kenneth A, and Bauldry, Shawn (2015) Indicators, International Encyclopaedia of
the Social & Behavioral Sciences (Second Edition), Pages 750-754.
http://dx.doi.org/10.1016/B978-0-08-097086-8.44032-8
EUROSTAT Manual and Guidelines (2018) Chapters 3 & 4,Technical Report on Statistics of
Internally Displaced Persons: Current Practices and Recommendations for Improvement,
https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-18-
003?inheritRedirect=true&redirect=%2Feurostat%2Fpublications%2Fmanuals-and-
guidelines
Jones Lang LaSalle (2017) The Business of Cities 2017: Decoding the City?
http://www.jll.com/cities-research/Documents/benchmarking-future-world-of-
cities/JLL-Decoding-City-Performance-2017.pdf
Lambert, David and Atkins, Julie (2015) New Jersey’s Manage by Data Program: Changing
Culture and Capacity to Improve Outcomes, Improving Performance Series, IBM Centre
for the Business of Government
UNAids, An Introduction to Indicators,
http://www.unaids.org/sites/default/files/sub_landing/files/8_2-Intro-to-
IndicatorsFMEF.pdf
Week 3 (Jan. 23) – Facts
This week Compulsory Readings:
we discuss Graves, J. L. (2015) Why the Nonexistence of Biological Races Does Not Mean the
objectivity, Nonexistence of Racism, American Behavioral Scientist, 59(11), pp. 1474–1495. doi:
the 10.1177/0002764215588810.
production Gruber Garvery, Ellen, (2013) “facts and Facts”: Abolitionists’ Database Innovations, In
of facts and Gitelman, L. (ed) “Raw Data” is an Oxymoron. MIT Press, Cambridge, pp 89-103.
whether or Igo, Sarah E. (2007) The Private Lives of the Public, Ch. 6 in The Averaged American: Surveys,
not it is Citizens, and the Making of a Mass Public, Harvard University Press.
possible to Jerven, Morten (2013) Facts, Assumptions, and Controversy: Lessons from the datasets, Ch.
tell the 3 in Poor Numbers: How we are misled by African Development Statistics and What to do
truth! We About it, Cornell University Press.
also Latour, Bruno and Woolfar, Steve (1986) The Construction of a Fact: The Case of TRF, Ch. 3
prepare for in Laboratory Live: The Construction of Scientific Facts, Princeton University Press. pp.
our OPS 105-150.
6field trip National Academy of Science (2018) Executive Summary, The Irreproducibility Crisis of
the Modern Science: Causes, Consequences, and the Road to Reform, April 17,
following https://www.nas.org/projects/irreproducibility_report/the_report
Week 4. Rosemberg, Daniel, (2013) Data Before the Fact, In Gitelman, L. (ed) “Raw Data” is an
Oxymoron. MIT Press, Cambridge, pp.15-41.
Compulsory Thematic Reading:
Campbell, Rebecca; Shaw, Jessica and Fehler–Cabral, Giannina (2015) Shelving Justice: The
Discovery of Thousands of Untested Rape Kits in Detroit, City & Community, 14 (2) 2,
pp.151–166. DOI: 10.1111/cico.12108
Neath, Scarlet, Tracy Kawabata-Perrett, and Damon McCullough. n.d. “Why Policing Data
Matters to Safety and Equity.” https://www.policingequity.org/data-collection-
insights/62-cpe-data-brief-putting-policing-data-to-work/file
Thematic Reference Material:
Government of Canada, Department of Justice. 2017. “Research on Justice Issues.” January
11, 2017. https://www.justice.gc.ca/eng/rp-pr/jr/NJS-SNJ.html.
Government of Canada, Statistics Canada. 2021. “General Social Survey - Canadians’ Safety
(GSS).” March 8, 2019.
https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&SDDS=4504
Toronto Police Service Public Safety Data Portal
http://data.torontopolice.on.ca/pages/major-crime-indicators
Critical Thinking Reference Material:
Lawton, Graham (2017) Effortless Thinking: Thoughtlessly Thoughtless: Why are the ideas
that come most effortlessly to us often are often misguided, New Scientists, Dec. 16.
Rough Guide to Spotting Bad Science: https://www.compoundchem.com/2014/04/02/a-
rough-guide-to-spotting-bad-science/
Zucherman, Ethan (2013) When what you know is who you know, Ch. 3 in Rewire: Digital
Cosmopolitanism in the Age of Connection, W.W. Norton Company
Week 4 (Jan. 30) Ottawa Police Service Field Trip
Week 5 (Feb. 6) – Categories and Social Sorting
Humans like Compulsory Readings:
to make Beaty, Joel and Hristova, Stefka (2018) Articulating Race: Reding Skin Colour As taxonomy
sense of the and as Numerical Data Ch. 2 in Flynn, Susan and Mackay, Antonia, Surveillance, Race,
world by Culture, Palgrave, pp. 21-41.
sorting things Criado Perez, Caroline, (2019) Invisible women: Data Bias in a World Designed by Men,
out into Abrams Press
classifications • Introduction: The Default Male pp1.-25
and then • Being Worth Less than a Shoe, pp.128-142
measure Bowker, Geoffrey C. and Leigh Star, Susan (2002) Categorical Work and Boundary
them with Infrastructures: Enriching Theories of Classification, Ch. 9 in Sorting Things Out:
indicators. Classification and its Consequences, p.285-317.
This week we Hacking, Ian, 1986, Making Up People, in Reconstructing Individualism, ed., T. Heller et al,
examine the Stanford, Calif.: Stanford University Press, pp. 222-236.
7classic Zuberi, Tukufu (2001) The Evolution of Racial Classification & Deracializing the Logic of
Hacking’s Social Statistics Chapters 1 & 7 in Thicker Than Blood: How Racial Statistics Lie,
social University of Minnesota Press. pp.17-27, 123-145.
constructivist Compulsory Thematic Readings:
view of “Disaggregated Demographic Data Collection in British Columbia: The Grandmother
classifying Perspective.” 2020. Vancouver, BC: British Columbia’s Office of the Human Rights
and how Commissioner. https://bchumanrights.ca/publications/datacollection/.
classification Bazelon, Emily (2016) Basic Instincts: How Bias from a psychological observation to a
is key to political accusation, The New York Times Magazine, Oct. 23
infrastructural Lyon, David (2001) Surveillant Sorting and the City, Ch.4 in Surveillance and Society:
thinking. Monitoring Everyday Life, Open University Press.
Reitman, Janet, (2018) State of Denial: How the Federal Government, Intelligence
Agencies and Law Enforcement have Systematically Failed to Recognize the Threat of
White Nationalism, The New York Times Magazine, Nov. 11
Williams, Chris (2011) Labelling and Tracking the Criminal in Mid-Nineteenth Century
England and Wales: The relationship between Governmental Structures and Creating
Official Numbers in Ch. 8 in Rudinow Saetan, Anne, Mork Lomell, Heidi and Hammer,
Svein (eds) The Mutual Construction of Statistics and Society, Routledge.
Compulsory Encyclopaedic Readings:
Holmes, Malcolm D. (2015) Crime, Race and Ethnicity. In International Encyclopaedia of
the Social & Behavioral Sciences, 182–88. Elsevier, https://doi.org/10.1016/B978-0-08-
097086-8.45002-6
Thematic Reference Material:
Bryan, Timothy (2022) “Wortley Report Research Committee’s Report, Collection of Race-
Based Police Data in Nova Scotia.” Nova Scotia Human Rights Commission.
https://humanrights.novascotia.ca/bryan.
Foster, L. Jacobs, L. and Siu, B. (2015) Race Data and Traffic Stops in Ottawa 2013-2015: A
Report on Ottawa and the Police Districts http://gradstudies.yorku.ca/2017/03/racial-
profiling-study
ONHRC (2003) Paying the price: The human cost of racial profiling,
http://www.ohrc.on.ca/en/paying-price-human-cost-racial-profiling
Foster, Lorne. 2019. “Ottawa Police Service Traffic Stop Race Data Collection Project II
Progressing Towards Bias-Free Policing: Five Years of Race Data on Traffic Stops in
Ottawa.”
Statistics Canada “Report and Draft Recommendations: Police-Reported Indigenous and
Racialized Identity Statistics via the Uniform Crime Reporting Survey.” 2021.
https://www.statcan.gc.ca/en/consultation/2021/ucrs/report.
Turpel-Lafond, Mary Ellen. 2020. “In Plain Sight Addressing Indigenous-Specific Racism
and Discrimination in B.C. Health Care.” BC Health.
https://www.bcchr.ca/sites/default/files/group-opsei/in-plain-sight-full-report.pdf.
8Week 6 (Feb. 13) – Administrative and Survey Data
Compulsory Readings:
Curtis, Bruce (2002) The Eyes of Politics & Making Up Population Ch. 1 & 2, in State
Formation, Statistics, and the Census of Canada, 1840-1875, University of Toronto
Press.
Desrosieres, Alain (2011) Words and Numbers: For a Sociology of the Statistical
Argument, Ch. 2 in Rudinow Saetan, Anne, Mork Lomell, Heidi and Hammer, Svein
(eds) The Mutual Construction of Statistics and Society, Routledge.
Fantuzzo J., Culhane D., (2015) Actionable Intelligence: Using Integrated Data Systems to
Achieve More efficient, and Ethical Government. Palgrave Macmillan, New York.
• Fantuzzo J., Culhane D., Rouse H., Henderson C. (2015) Introduction to the
Actionable Intelligence Model. p. 1-38
• Stiles P.G., Boothroyd R.A. (2015) Ethical Use of Administrative Data for Research
Purposes. pp. 125-155
Administering
• Kitzmiller, Erika M. and Burnett, TC. The AISP Network: Three Organizational
people with
Models for Building, Using and Sustaining Integrated Data Systems, pp.169-190
numbers is a
Foucault, Michel, Governmentality, in Faubion, James D. Ed. (1994) Power, New York:
biopolitical
The New Press, pp.201-222.
and
Marks, John, 2008, Michel Foucault: Biopolitics and Biology, Chapter 4 in Morton,
gouvernement
Stephen and Stephen Bygrave, eds. 2008, Foucault in an Age of Terror: Essays on
al activity
Biopolitics and the Defence of Society, New York, Palgrave Macmillan, pp. 88-104.
which makes
Starr, Paul and Corson, Ross (1989) Who will have the Numbers? The Rise of the
up a
Statistical Services Industry and the Politics of Public Data, Chapter 14 in Alonson,
population and
William and Starr, Paul (Eds) The Politics of Numbers, New York: Russel Sage
a subject to
Foundation, pp. 415-447.
govern. This
Peruse these Thematic Material:
week students
examine state Dencik L., Hintz, A., Redden, J. And Warne, H. (2018) Data Scores as Governance:
institutions https://datajusticelab.org/2018/12/06/data-scores-as-governance-final-report-
and their published/
power. Kiedrowski, J., Petrunik, M., Macdonald, T. and Melchers, R. (2013) Canadian Police
Board Views on the Use of Police Performance Metrics,
https://www.publicsafety.gc.ca/cnt/rsrcs/pblctns/plc-vws-prfrmnc-mtrcs/index-
en.aspx
Powered by Data (2019) Maximizing Impact through Administrative Data Sharing,
https://static1.squarespace.com/static/5623f0e8e4b0126254053337/t/5c40c61ac22
41be9935695fe/1547748890823/Public+Briefing+Document+-+Admin+Data+-
+January+2019+-+Updated.pdf
Privy Council of Canada (2019) A Data Strategy Roadmap for the Federal Public Service,
https://www.canada.ca/en/privy-council/corporate/clerk/publications/data-
strategy.html
Statistics Canada, Directive of Record Linkages,
http://www.statcan.gc.ca/eng/record/policy4-1
Justice Data Lab, http://www.thinknpc.org/our-work/projects/data-labs/justice-data-lab/
9UNStats (2011) Using Administrative and Secondary Sources for Official Statistics A
Handbook of Principles and Practices,
http://unstats.un.org/unsd/EconStatKB/Attachment442.aspx?AttachmentType=1
Study Break – Feb. 20 – 24
Week 7 (Feb. 27) – Spatial Data, Maps & Indigenous Knowledge
Compulsory Reading:
Harley, J. B. (1989). Deconstructing the Map. Cartographica, 26 (2), pp.1-20. DOI:
10.3138/E635-7827-1757-9T53
Kitchin, Rob; Lauriault, Tracey and Wilson, Matt (2017) Chapter 1, Understanding Spatial
Media, Sage: London.
This class takes
Peluso, N.L (1995). Whose Woods are These? Counter-Mapping Forest Territories in
place in the
Kalimantan, Indonesia. Antipode. 4. 27: 383–406. doi:10.1111/j.1467-
library.
8330.1995.tb00286.x.
Students will
Phillips, Gwen (2017) Keynote: Indigenous Data Sovereignty and Reconciliation, Keynote,
examine large
Data Power 2017 Conference, https://www.youtube.com/watch?v=4I_3figC3B0
the materiality
Pualani Louis, Renee, Johnson, Jay T., Hadi Pramono, Albertus (2012) Introduction:
of
Indigenous Cartographies and Counter-Mapping, Cartographica: The International
infrastructure
Journal for Geographic Information and Geovisualization, Volume 47 Issue 2, Summer
by studying the
2012, pp. 77-79, DOI: 10.3138/carto.47.2.77
Evolution of
Sparke, Matthew (1998) A Map that Roared and an Original Atlas: Canada, Cartography,
the Canadian
and the Narration of Nation, Annals of the Association of American Geographers,
Communication
Volume 88, Issue 3:463–495, DOI: 10.1111/0004-5608.00109.
Infrastructure
Compulsory Thematic reading:
map display in
Scassa, Teresa (2016) Police Service Crime Mapping as Civic Technology: A Critical
the library.
Assessment, International Journal of E-Planning Research (IJEPR) 5(3) DOI:
Students will
10.4018/IJEPR.2016070102
learn to
Gundhus, Helene I. (2011) GIS in Practice: Domestication of Statistics in Policing, Ch. 14
critically read
in Rudinow Saetan, Anne, Mork Lomell, Heidi and Hammer,Svein (eds) The Mutual
maps with the
Construction of Statistics and Society, Routledge.
added
Reference Material:
dimension
Dodge, Martin and Rob Kitchin (2001) The Atlas of Cyberspace Chapters 1 Mapping
Indigenous
Cyberspace & 2 Mapping Infrastructure and Traffic, pages10-22, 52-55.
spatial data.
(http://www.kitchin.org/atlas/contents.html)
“OPS Crime Map.” 2022. https://ottawapolice-icrt-ops1.esolg.ca/en/news-and-
updates/crime-map.aspx.
“Native Lands.” n.d. Accessed January 2, 2023. https://native-land.ca/about/how-it-
works/.
In-Class Map Assignment 10%. In the Map, Data and Government Information Centre there is a map
display entitled the Evolution of the Communication Infrastructure in Canada with some maps about
Aboriginal People in Canada. The maps are organized into groups, you will be assigned a set of maps and
will be provided with an in-class assignment. You will be required to consider the Harley paper and the
Phillips keynote.
10Week 8 (Mar. 6) – Standards
Compulsory Readings:
Edwards, Paul (2010) Standards and Networks: International Meteorology and the
Reseau Mondial ch.3 in A Vast Machine, MIT Press.
Florence Millerand, Metadata Standards: Trajectories and Enactment in the Life of an
Ontology, in Standards and their stories: how quantifying, classifying, and formalizing
practices shape everyday life, Ithaca: Cornell University Press, pp.149-177.
Igo, Sarah E. (2018) Documents of Identity, Ch.2 in The Known Citizen, Harvard
University Press.
Lampland, Martha, and Star, Susan Leigh, (2009) Reckoning with Standards, Standards
and their stories: how quantifying, classifying, and formalizing practices shape
everyday life, Ithaca: Cornell University Press, pp.3-35
Merricks White, James (2020) Standardising the city as an object of comparison: The
promise, limits and perceived benefits of ISO 37120, Journal of Telematics and
Information, https://doi.org/10.1016/j.tele.2020.101515
Standards and Merricks White, James (2019) Thinking About Standards, Ch. 2 in Standardising the city:
interoperability A material-discursive genealogy of CPA-I_001, ISO 37120 and BSI PAS 181,
are the bread Unpublished PhD Dissertation, Maynooth University,
and butter of http://mural.maynoothuniversity.ie/10848/1/190417-white-james-thesis.pdf
data Compulsory Thematic Reading:
infrastructures. Bright, Jonathan (2011). Building Biometrics: Knowledge Construction in the
This week Democratic Control of Surveillance Technology. Surveillance & Society 9(1/2): 233-
students 247 http://www.surveillance-and-society.org
examine the Gabrielson, Ryan and Sanders, Topher (2016) Proof Negative, New York Times
control and Magazine, July 10
power exerted IDNYC, https://www1.nyc.gov/site/idnyc/index.page
by these unsung MacNaughton, Wendy (2018) The IDNYC Card: How Do You Represent 8.6 Million New
power houses! Yorkers With One Piece of Plastic? NYTimes, Dec. 12,
https://www.nytimes.com/2018/12/12/business/wendy-macnaughton-idnyc-card-
design.html
Mork Lomell, Heidi (2011) Making Sense of Numbers: The Presentation of Crime
Statistics in the Oslo Police Annual Reports, 1950-2008 Ch. 10 in Rudinow Saetan,
Anne, Mork Lomell, Heidi and Hammer, Svein (eds) The Mutual Construction of
Statistics and Society, Routledge.
Mrkic, Srdjan (2016) International Standards for Civil Registration and Vital Statistics, in
ICAOTRIP: Assured Identification Issue, 11(2): 12-14.
Thematic Reference Material:
Canadian Centre for Crime Statistics, Revising the classification of founded and
unfounded criminal incidents in the Uniform Crime Reporting Survey
https://www150.statcan.gc.ca/n1/pub/85-002-x/2018001/article/54973-eng.htm
CARE Principles for Indigenous Data Governance - https://www.gida-global.org/care
FAIR Principles - https://www.go-fair.org/fair-principles/
GODAN https://www.godan.info/working-groups-list
11Government of Ontario Anti-Race Directorate https://www.ontario.ca/page/anti-
racism-directorate?_ga=1.217721232.78251812.1480784431 and the Data Standard
https://www.ontario.ca/document/data-standards-identification-and-monitoring-
systemic-racism
IATI http://www.aidtransparency.net/
Mukurtu https://mukurtu.org/
OCAP Principles – https://fnigc.ca/ocap-training/
OECD (2018), IoT measurement and applications, OECD Digital Economy Papers, No.
271, OECD Publishing, Paris, https://doi.org/10.1787/35209dbf-en.
Open Corporates Data standard for company registers – Open Corporates
https://transparencee.org/analysis/data-standard-for-company-registers-open-
corporates/
Ottawa Police Service (2016) Regulated Interactions,
https://www.ottawapolice.ca/en/news-and-community/RegulatedInteractions.aspx
Ottawa Police Service (2017) Annual Report: COLLECTION OF IDENTIFYING
INFORMATION – DUTIES & PROHIBITIONS POLICY: ANNUAL REPORT
https://www.ottawapolice.ca/en/about-
us/resources/Regulated_Interactions_2017Annual_Report_Final.pdf
Research Data Alliance https://www.rd-alliance.org/
United Nations Office on Drugs and Crime, Standards and Manuals,
https://www.unodc.org/unodc/en/data-and-analysis/standards-and-manuals.html
Week 9 (Mar. 13) – Big Data
Compulsory Reading:
Anderson, Chris (2008) The End of Theory: The Data Deluge Makes the Scientific Method
Obsolete. Wired Magazine June 23. http://www.wired.com/2008/06/pb-theory/
Hype or
Kitchin, Rob. (2014), Ch. 5 Enablers and Sources of Big Data and
reality?
Ch.7 The Governmental and Business Rationale for Big Data, pp. 80-89. The Data Revolution.
Are big
London: Sage.
data
Pasquale, Frank, (2015) Digital Reputation in the Era of Run Away Big Data, The Black Box
everything
Society: The Secret Algorithms that Control Money and Information, Cambridge MA:
or
Cambridge University Press, 19-59.
nothing?
Verhoef, Peter C.; Kooge, Edwin and Walk, Natasha (2016) Data Data Everywhere, Chapter 3
Are they
in Creating Value with Big Data Analytics: Making Smarter Marketing Decisions, Milton
about
Park: Routledge, 75-93.
controlling
Compulsory Thematic Reading:
the future
Calof, Jonathan, (2016) Analytics and the Ottawa Police Strategic Operations Centre, Frontline
with
Safety & Security, 11(4).
numbers?
Calof, Jonathan, (2016) Police Officer’s View of Analytics, Frontline Safety & Security, 11(4).
Is this the
Coleman, Amanda (2016) Data Analytics & Safer City Policing, Frontline Safety & Security,
end of
11(3).
science?
Ferguson, Andrew Guthrie (2017) Black Data, Blue Data and Bright Data, Ch. 7,8 & 9 in The
Rise of Big Data Policing: Surveillance, Race, and the Future of Law Enforcement, New York
University Press.
12Funk, McKenzie (2016) Should We See Everything a Cop Sees? Seattle’s Bodycam Program
and the Dark Side of Total Transparency, The New York Times Magazine, Oct. 23
Nafus, Dawn. Eds. Do Biosensors Biomedicalize? Sites of Negotiation in Data Based
Biosensing Data Practices, in Quantified: Biosensing Technologies in Everyday Life, pp.5-
42.
Saskia Bayerl, Petra and Akhgar, Babak, (2015) Surveillance and Falsification Implications for
Open-Source Intelligence Investigations, Communications of the ACM, 58(8).
Sanders, Carrie B., Crystal Weston, and Nicole Schott. (2015) Police innovations, ‘secret
squirrels’ and accountability: Empirically studying intelligence-led policing in Canada.
British Journal of Criminology 55, no. 4 (2015): 711-729.
Reference Materials:
“Biosensor » Narcotics Police.” n.d. Accessed January 2, 2023. https://biosensor.se/areas-of-
use/narcotics-traffic-police/.
Canadian Association of Chiefs of Police, Analytics and Big Data,
https://www.cacp.ca/analytics-and-big-data.html#443
Cracked Labs, (2017) Corporate Surveillance In Every Day Life
http://crackedlabs.org/dl/CrackedLabs_Christl_CorporateSurveillance.pdf
Hexagon, Halton Regional Police Service Improves Efficiencies with Business Intelligence,
https://www.hexagonsafetyinfrastructure.com/de-de/blog/2015/04/16/halton-regional-
police-service-improves-efficiencies-with-business-intelligence
Kitchin, R. and McArdle, G. (2016) What makes Big Data, Big Data? Exploring the ontological
characteristics of 26 datasets, Big Data and Society,
http://bds.sagepub.com/content/3/1/2053951716631130
UN Big Data Project Inventory https://unstats.un.org/bigdata/inventory/
Week 10 (Mar. 20) – Probability and Risk
Compulsory Reading:
Is this the new
Buolamwini, Joy and Gebru, Timnit (2018) Gender Shades: Intersectional Accuracy
era of
Disparities in Commercial Gender Classification, Conference on Fairness,
probability
Accountability, and Transparency, Proceedings of Machine Learning Research 81:1–
revisited? We
15, 2018, https://www.poetofcode.com/research
will look at
Crawford, Kate (2017) The Trouble with Bias - NIPS 2017 Keynote - #NIPS2017,
Hacking’s work
https://www.youtube.com/watch?v=fMym_BKWQzk
on the Taming
Donoho, David, (2017), 50 Years of Data Science, Journal of Computational and Graphical
of Change
Statistics, 26(4) 745-766, https://doi.org/10.1080/10618600.2017.1384734
which is an
Guzic, Keith, (2009) Discrimination by Design, Predictive Data Mining as Security Practice
historical
in the United States ‘War on Terrorism’, in Surveillance Systems, 7(1) pp. 1-20.
account of the
http://library.queensu.ca/ojs/index.php/surveillance-and-
moment when
society/article/view/3304/3267
probably
Hacking, Ian, (1990) The Argument and The Universe of Chance in Ch. 1 & 23 The Taming
entered
of Chance, Cambridge University Press, pp.1-10 & pp.200-216.
culture and
Nopper, Tamara K. (2019) Digital Character in the “Scored Society”: FICO, Social
students will
Networks, and Competing Measurements of Creditworthiness, Ch. 7 in Ruha
study
Benjamin, Captivating Technology, Duke University Press. pp. 170-187.
13contemporary Mantello, Peter (2016) The machine that ate bad people: The ontopolitics of the
examples. precrime assemblage, Big Data & Society 3(2) doi:10.1177/2053951716682538
Compulsory Thematic Reading:
Aradau, Claudia and Blanke, Tobias (2017) Politics of prediction: Security and the
time/space of Governmentality in the age of Big Data, European Journal of Social
Theory, 20(3)373-391, DOI:10.1177/1368431016667623
Lapowsky, Issie (2018) Crime-Predicting Algorithms May Not Fare Much Better Than
Untrained Humans, WIRED Magazine, https://www.wired.com/story/crime-
predicting-algorithms-may-not-outperform-untrained-humans/
Mears, Daniel P. (2018) How Big Data can save America’s out of control criminal justice
policies, LSE Blogs, http://blogs.lse.ac.uk/usappblog/2018/01/10/how-big-data-can-
save-americas-out-of-control-criminal-justice-policies/
Schlehahn, Eva, Patrick Aichroth, Sebastian Mann, Rudolf Schreiner, Ulrich Lang, Ifan D.
H. Shepherd and B.L. William Wong, (2015) Benefits and Pitfalls of Predictive Policing,
2015 European Intelligence and Security Informatics Conference.
Compulsory Thematic Encyclopaedic Readings:
Bales, William D., Burkes, Kaleena J., Scaggs, Samuel JA and Clark, Catie L. (2015)
Recidivism, In International Encyclopaedia of the Social & Behavioral Sciences, 31-56
Http://doi.org/10.1016/B978-0-08-097086-8.45079-8
Bachman, Ronet. (2015) Data Bases and Statistical Systems: Crime Measurement. In
International Encyclopaedia of the Social & Behavioral Sciences, 720–26. Elsevier
https://doi.org/10.1016/B978-0-08-097086-8.45055-5
Thematic Reference:
Perry, Walter L.; McInnis, Brian; Price, Carter C.; Smith, Susan C.; and Hollywood, John S.
(2013) Predictive Policing: The Role of Crime Forecasting in Law Enforcement
Operations; Washington D.C.: The RAND Corporation, pp. xxiii-xxiv and 1-15.
http://www.rand.org/content/dam/rand/pubs/research_reports/RR200/RR233/RAN
D_RR233.pdf
Week 11 (Mar. 27) – Data Infrastructure
Students have Compulsory Reading:
looked at Bratton, Benjamin H. (2015) The Stack: On Software and Sovereignty, MIT Press.
aspect of data • Platform and Stack pp.41-74
infrastructure • City Layer pp. 147-190.
throughout Dourish, Paul and Genevieve Bell, 2007, The Infrastructure of Experience and the
the class and Experience of Infrastructure: Meaning and Structure in Everyday Encounters with
this week we Space, Environment and Planning B: Planning and Design, V.34, pp. 414-430.
look at these Edwards, Paul N., Steven J. Jackson, Geoffrey C. Bowker and Cory P. Knobel, 2007,
large Understanding Infrastructures: Dynamics, Tensions and Design, Report of a Workshop
technological on History & Theory of Infrastructure: Lessons for New Scientific Cyberinfrastructures,
systems US National Science Foundation, accessed June 22, 2008 from
philosophically http://www.si.umich.edu/cyber-
and infrastructure/UnderstandingInfrastructure_FinalReport25jan07.pdf.
14pragmatically. Hughes, Thomas P. (1989) The Evolution of Large Technological Systems, Ch.3 in Bijker,
Students will Wiebe E., Hughes, Thomas and Pinch, Trevor (eds) The Social Construction of
dig through Technological Systems, MIT Press.
documents Compulsory Thematic Reading:
that help us Galdon-Clavell, Gemma (2013) (Not so) smart cities?: The drivers, impact and risks of
infer the data surveillance enabled smart environments, Science and Public Policy 40(6) pp. 717–
infrastructure 723, https://doi-org.proxy.library.carleton.ca/10.1093/scipol/sct070
of an Pallitto, Robert M. (2018) Irresistible bargains: Navigating the surveillance society. First
institution. Monday, https://doi.org/10.5210/fm.v23i2.7954.
Pulsifer, Peter L., Kontar, Yekaterina, Berkman, Paul Arthur (2020) and D. R. Fraser
Taylor, Information Ecology to Map the Arctic Information Ecosystem in Ch. 12 in O.
R. Young et al. (eds.), Governing Arctic Seas: Regional Lessons from the Bering Strait
and Barents Sea, Informed Decision Making for Sustainability,
https://doi.org/10.1007/978-3-030-25674-6_12
Wolf, Kristina, Richard J. Dawson, Jon P. Mills, Phil Blythe, and Jeremy Morley. 2022.
“Towards a Digital Twin for Supporting Multi-Agency Incident Management in a
Smart City.” Scientific Reports 12 (1): 16221–16221. https://doi.org/10.1038/s41598-
022-20178-8.
Thematic Reference Materials:
CBC News (2016) Ottawa police unveil plans for massive technology overhaul,
https://www.cbc.ca/news/canada/ottawa/police-technology-42-million-1.3724768
Canadian Interoperability Technology Interest Group (2012) Technology Innovation and
the Economics of Policing Workshop Report,
http://www.citig.ca/Data/Sites/1/newsfiles2012/technology-innovation-and-
economics-of-policing-workshop-report_final.pdf
Ottawa Police Service Board (2022) Policy Manual, https://ottawapoliceboard.ca/opsb-
cspo/sites/default/files/docs/policy_manual_sep_22_en.pdf
Ottawa Police Service (2022) Draft Budget, https://ottawapoliceboard.ca/opsb-
cspo/policies-publications.html
Ottawa Police Service (2021) Annual Report https://www.ottawapolice.ca/en/who-we-
are/resources/Documents/Reports-and-Publications/Annual-Report-2021.pdf
Ottawa Police Service (21019-2020) Strategic Plan,
https://www.ottawapolice.ca/en/who-we-are/resources/Documents/Reports-and-
Publications/2019-2020-Strategic-Direction.pdf
Ottawa Police Service (2016) Innovation and Investment in Community Safety Business
Plan 2016-2018, https://www.ottawapolice.ca/en/news-and-community/20132015-
business-plan.asp
Ottawa Police Service (2017) IM/IT ROADMAP IMPLEMENTATION – BUNDLE 1, Report
submitted to Ottawa Police Service Board 26 June,
http://ottwatch.ca/meetings/file/459550
Ottawa Police Service (2016), SERVICE INITIATIVE QUARTERLY UPDATE, Report submitted
to Ottawa Police Service Board 25 July,
https://www.ottawapolice.ca/en/resources/SI_Update_July_25.pdf
15PWC (2018) Policing in a Networked World: Canadian Insights
https://www.pwc.com/ca/en/industries/public-sector-government/transformation-
at-the-centre-of-policing.html
PWC (2018) Policing in a Networked World, Policing Study,
https://www.pwc.com/gx/en/government-public-services/assets/pwc-policing-in-a-
networked-world.pdf
Reference Material
ASDI (2016) Spatial Data Infrastructure (SDI) Manual for the Arctic. https://arctic-
sdi.org/index.php/strategic-documents/
IT Roadmap https://app06.ottawa.ca/calendar/ottawa/citycouncil/occ/2011/03-
08/it/TechnologyRoadmap.htm
New Digital Research Infrastructure Organization (NDRIO) https://engagedri.ca/
MASSTLC Big Data Cluster http://www.masstlc.org/?page=BigData
MASSTech Big Data Landscape http://massbigdata.org/industry-and-resources
Tuesday March 28 Data Day 9.0
Week 12 (Apr. 3) – From Critical Theory to Action
This week student Compulsory Video:
discuss Nash, Terry, (1995) Who's Counting? Marilyn Waring on Sex, Lies and Global
observations are Economics, National Film Board of Canada,
derived from https://www.nfb.ca/film/whos_counting/
watching the Hoping to arrange a screening of the documentary film Coded Bias
documentary and (https://www.codedbias.com/).
a news clip. We Reference Material:
will discuss Stop LAPD Spying Coalition https://stoplapdspying.org/
activism and the “Search The Marshall Project’s Archives.” n.d. The Marshall Project. Accessed January
engaged 2, 2023. https://www.themarshallproject.org/search?q=data.
scholarship your “Statewatch | EU: Policing: France Proposes Massive EU-Wide DNA Sweep,
professor has Automated Exchange of Facial Images.” n.d. Accessed January 2, 2023.
been involved https://www.statewatch.org/news/2022/april/eu-policing-france-proposes-
with. massive-eu-wide-dna-sweep-automated-exchange-of-facial-images/.
Week 13 (Apr. 10) – Assemblages, Genealogies and Dynamic Nominalism
Students will examine three methodological approaches that can be applied to the study of data systems.
In addition, we will review the theories discussed throughout the term and share the findings of your
research papers, possibly with our community partners.
Exam Week – April 15-27
Important Considerations
Undergraduate Academic Advisors
The Undergraduate Advisors for the School of Computer Science are available in Room 5302HP;
or by email at scs.ug.advisor@cunet.carleton.ca. The undergraduate advisors can assist with
16information about prerequisites and preclusions, course substitutions/equivalencies,
understanding your academic audit and the remaining requirements for graduation. The
undergraduate advisors will also refer students to appropriate resources such as the Science
Student Success Centre, Learning Support Services and Writing Tutorial Services.
Graduate Academic Advisors
The Graduate Advisors for the School of Computer Science are available in Room 5302 HP; or by
email at grad.scs@carleton.ca. The graduate advisors can assist with understanding your
academic audit and the remaining courses required to meet graduation requirements.
SCS Computer Laboratory
Students taking a COMP course can access the SCS computer labs. The lab schedule and
location can be found at: https://carleton.ca/scs/tech-support/computer-laboratories/. All SCS
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details: https://carleton.ca/scs/tech-support/contact-it-support/.
University Policies
Grading:
Standing in a course is determined by the course instructor, subject to the approval of the
faculty Dean. Final standing in courses will be shown by alphabetical grades. The system of
grades used, with corresponding grade points is:
Percentage Letter grade 12-point scale Percentage Letter grade 12-point scale
90-100 A+ 12 67-69 C+ 6
85-89 A 11 63-66 C 5
80-84 A- 10 60-62 C- 4
77-79 B+ 9 57-59 D+ 3
73-76 B 8 53-56 D 2
70-72 B- 7 50-52 D- 1
Approval of final grades:
Standing in a course is determined by the course instructor subject to the approval of the
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grades are final until they have been approved by the Dean.
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As part of a learning community, it is our responsibility to contribute to an engaging, inclusive,
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Harassment of any kind will not be tolerated in this class.
Do not cut and paste, screenshot, share course content, or post the words of your classmates,
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Communication and Media Studies does not allow students to turn in work that has been
submitted for academic credit more than once without permission from their instructors.
Examples of unauthorized resubmission of work might include but are not limited to submission
of the same paper, written passages, arguments, or ideas submitted for academic credit to
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If you are unsure of the expectations regarding academic integrity (how to use and cite
references, if collaboration with lab- or classmates is permitted (and, if so, to what degree),
then you must ASK your instructor. Sharing assignment or quiz specifications or posting them
online (to sites like Chegg, CourseHero, OneClass, etc.) is ALWAYS considered academic
misconduct. You are NEVER permitted to post, share, or upload course materials without
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18of the Dean of Science. Information, process and penalties for such offences can be found on
the ODS webpage: https://science.carleton.ca/students/academic-integrity/.
Do not cut and paste, screen shot, share course content, or post the words of your classmates,
TA, or Instructor outside of class without permission. All work submitted in this course must be
uniquely your own. When submitting assignments and/or completing exams, you are expected
to articulate responses in your own words rather than cutting and pasting from course
materials without permission, which is a form of plagiarism.
Please be careful to avoid plagiarism and other Academic Integrity violations. The Carleton
University Senate defines plagiarism as “presenting, whether intentionally or not, the ideas,
expression of ideas, or work of others as one’s own”. You can find more details here:
https://carleton.ca/registrar/wp-content/uploads/Academic-Integrity-policy-June-2021.pdf
Examples of plagiarism can include the following:
• Reproducing or paraphrasing portions of someone else’s published or unpublished
material, regardless of the source, and presenting these as one’s own without proper
citation or reference to the source;
• Submitting a take-home examination, essay, laboratory report or other assignment
written, in whole or in part, by someone else;
• Using ideas or direct, verbatim quotations, or paraphrased material, concepts, or ideas
without appropriate acknowledgment in any academic assignment;
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• Failing to acknowledge sources through the use of proper citations when using
another’s works and/or failing to use quotation marks;
• Handing in "substantially the same piece of work for academic credit more than once
without the prior written permission of the course instructor in which the submission
occurs."
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Students registered in the course may take notes and make copies of course materials for their
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All members of the Carleton community are required to follow COVID-19 prevention measures
and all mandatory public health requirements. For the most recent information about
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It is important to remember that COVID is still present in Ottawa. The situation can change at
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Remaining vigilant and not attending work or school when sick or with symptoms is critically
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Masks:
In light of the recent announcements from Ontario’s Chief Medical Officer of Health and
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mandatory mask mandate as of June 25, 2022. Even though masks will no longer be
mandatory, we continue to strongly recommend masking when indoors, particularly if
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Requests for Academic Accommodation:
You may need special arrangements to meet your academic obligations during the term. For an
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Pregnancy obligation:
Write to me with any requests for academic accommodation during the first two weeks of
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Write to me with any requests for academic accommodation during the first two weeks of
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Academic Accommodations for Students with Disabilities:
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for a formal evaluation. If you are already registered with the PMC, contact your PMC
coordinator to send me your Letter of Accommodation at the beginning of the term, and no
20later than two weeks before the first in-class scheduled test or exam requiring
accommodation (if applicable). After requesting accommodation from PMC, meet with me
to ensure accommodation arrangements are made. Please consult the PMC website for the
deadline to request accommodations for the formally scheduled exam (if applicable) at
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for the university, that result from a student participating in activities beyond the classroom
experience. Reasonable accommodation must be provided to students who compete or
perform at the national or international level. Please contact your instructor with any
requests for academic accommodation during the first two weeks of class, or as soon as
possible after the need for accommodation is known to exist. https://carleton.ca/senate/wp-
content/uploads/Accommodation-for-Student-Activities-1.pdf
Student Supports:
Student Supports and Resources
§ The Centre for Student Academic Support (CSAS) 613-520-3822
§ Carleton Health and Counselling Services 613-520-6674
§ International Students Support Office (ISSO) 613-520-6600
§ Centre for Indigenous Initiatives Indigenous@carleton.ca
§ Ojigkwanong Indigenous Student Centre Indigenous@carleton.ca
§ Equity and Inclusive Communities (EIC) 613-520-2600 X5622
§ Trans Resource Hub 613-520-2600 X5622
§ Accessibility Supports 613-520-2600 X7323
§ Campus Safety Emergency: 613-520-4444
§ Paul Menton Centre 613-520-6608
§ Coalition for a Carleton Sexual Assault Centre Peer Support Line 613-620-1030
§ CUSA Gender and Sexuality Resource Centre @CUSA_GSRC, 613-560-2600 X3723
§ CUSA Womyn’s Centre, @Womyn’s_Centre, 613-560-2600 X2712
§ CUSA Foot Patrol, 613-520-4066
§ Carleton Communications Student Society, @cucomssociety
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