In this talk, Kim Anderson will share her experiences of conducting research with and for Indigenous peoples. Dr. Anderson ran a consulting business, doing social and health policy research with Indigenous NGOs and communities for fifteen years prior to taking an Associate Professor position at Wilfrid Laurier University, where she now conducts community partnered research. Throughout this time there has been an evolution in expectations on the part of Indigenous communities in terms of what is considered ethical research, how Indigenous communities must be engaged in research and how to avoid replicating abusive practices of the past. Dr. Anderson will reflect on this evolution and invite discussion as to the implications for the big data project proposed by Wilfrid Laurier University and the City of Brantford.

Policy analytics is the combination of new data sources with new data analytics techniques for informing and directing public policy. However, those who do not use these devices may be rendered digitally invisible if digital signals from their daily actions are not generated or captured. Failing to observe their lived experience may result in policy analytics being biased, and policy interventions being misdirected. We conduct an exploratory study focused on homeless individuals in Phoenix Arizona, in the context of extreme heat exposure. Ten homeless research participants carried a temperature-sensing device during an extreme heat week, with their individually experienced temperatures (IETs) compared to outdoor ambient temperatures (OATs). A non-homeless, digitally connected sample of 10 university students was observed in contrast, with their IETs analyzed in the same way. Surveys of participants complement the temperature measures. Our findings indicate that individuals dealing with homelessness and university students interaction differently with the physical environment and with technology.

Drone technology raises new challenges for privacy and data collection, which are increasingly relevant to cities that seek to either use drones to collect information; or that want to regulate drones and the municipal spaces where they operate. Several Canadian cities have started to consider whether and how to address drone use within municipal space, particularly in response to local concerns about privacy. This presentation will critically discuss some of the legal challenges and constraints that arise as municipalities start to deal with drones and the data they collect, and what this means for both privacy and drone regulation moving forward.

Big Data is being sought out for many applications, including municipal efforts to make cities "smart". Ethical strategies for data collection and use must lead by incorporating privacy, in order to ensure accountability and the responsible use of the data. While some believe that fundamental privacy protections will be challenged by the operation of Big Data analytics, Dr. Cavoukian dispels the notion that privacy acts as a barrier to analytics and the innovations they can spark. She argues that the limiting paradigm of "zero-sum" -- that you can either have privacy or innovation, but not both -- is an outdated, win/lose model of approaching the question of privacy in the age of Big Data and IoT. Instead a "positive-sum" solution is needed in which the interests of both sides may be met, in a doubly-enabling, "win-win" manner through Privacy by Design (PbD). PbD is predicated on the rejection of zero-sum propositions by proactively identifying the risks and embedding the necessary protective measures into the design and data architecture involved.

The curation and long term stewardship of information about our lives has long been the domain of historians and archivists, but with new instant technologies we all have to learn to manage information, especially academics. The agencies that fund us are moving to requiring academics to develop Data Management Plans when we start projects. In this presentation I will argue that the curation and stewardship of data should not be seen as another burden but as scholarly activity itself when done carefully and that we need to develop academic cultures that recognize it as such. We academics need to recognize the value of the data we gather and generate for Canadians over the long term and recognize the caretaking involved. As we pay attention to the organization of data as important scholarly activity we also need to attend to the ethical issues raised by the ease with which data can be scraped and blasted over the net. I will end by proposing that an ethics of care can give us a framework for dealing with the uncertainties of data curation ethics in changing times.

A healthy city is a built environment that encourages physical, mental and social well-being. Few neighborhoods and communities in the United States and increasingly elsewhere in the world are healthy places. A major factor are changes in built environments and lifestyles that have not only eliminated physical activity from daily lives but also can make physical activity unpleasant, unhealthy and unsafe. The development and deployment of sensors connected to location-aware technologies are improving the scientific understanding of built environment characteristics that facilitate healthy and safe physical activity. This presentation argues that integrating data from these with new sources of urban data can allow for deeper understanding of the intricate relationships between individuals, environments and healthy places. I will provide examples from a quasi-experimental study of public transit and physical activity in Salt Lake City, Utah, USA. I will also discuss the concept of Geographic Information Observatories (GIOs) extend the capabilities for observatory-based science to the broad geographic data associated with a place or region.

I will discuss the conceptualization, development and operation of the CommunityView Collaboration, a collaborative website dedicated to sharing community data and information. The CommunityView Collaboration is a partnership between local agencies each of which develops community data and has an obligation to share that data. The site provides access to data, as well as tools to use the data, to the general public and a platform for partner agencies to disseminate specific research and analysis.

The University of Saskatchewan's Social Sciences Research laboratories (SSRL), a unique and leading network of eight research laboratories, has enabled and facilitated community-engaged research since its inception in 2011. Through partnerships, collaborations, and research facilitation, the SSRL has enabled a number of small- and large-scale data-driven projects that provide hands-on information and resources to the general public, and further provide resources that assist in evidence-based decision-making. Two examples, that will be discussed and referenced during the panel discussion include the recently-launched Immigration Research West project (http://gis.usask.ca/irw/) and the SSRL's ongoing support for the
CommunityView Collaboration (www.communityview.ca).

PolicyWise exists to improve child, family and community well-being by leading, creating and mobilizing research and evaluation for evidence-informed policy and practice. It has developed unique expertise in the secondary use of data through its Child and Youth Data Laboratory (CYDL) and Secondary Analysis to Generate Evidence (SAGE) platforms. The CYDL links and analyzes administrative data from Government of Alberta ministries. The linkage process employed by the CYDL preserves privacy while enabling this exciting and unprecedented opportunity to understand the lives of Albertans. SAGE is a data and research platform that enables the secondary use of data related to child and youth development, health and well-being. SAGE currently contains research data, and will later house administrative and community organization data. Technical infrastructure and governance processes are in place to ensure ethical use and the privacy of participants. Both initiatives aim to improve outcomes for Alberta's children, youth, families and communities through using and combining data to inform social, educational and health policy, practice and service planning.

The Connecting Infancy to Youth (CITY) project is a partnership between McMaster University, the University of Toronto, and the schools boards, hospitals, and City of Hamilton. The project's goal is to build a linked data repository across all publicly-funded services serving young people. This session will provide an overview of what the project has learned thus far. We will touch on the political, legal, economic and technical challenges we have faced, with the focus on showing what worked. We will also offer a look at the benefits that can be achieved from looking at children's trajectories over time. Points for discussion will include how these lessons can be applied in other communities and for other populations. Is this a model that can help you build a healthy and sustainable community?

The Connecting Infancy to Youth (CITY) project is a partnership between McMaster University, the University of Toronto, and the schools boards, hospitals, and City of Hamilton. The project's goal is to build a linked data repository across all publicly-funded services serving young people. This session will provide an overview of what the project has learned thus far. We will touch on the political, legal, economic and technical challenges we have faced, with the focus on showing what worked. We will also offer a look at the benefits that can be achieved from looking at children's trajectories over time. Points for discussion will include how these lessons can be applied in other communities and for other populations. Is this a model that can help you build a healthy and sustainable community?

Organized crime has been quantified using different methods in Canada, ranging from a focus on vice markets, to individual career criminals, to groups of known co-offenders. Generally, these methods have relied upon the qualitative refinement from intelligence data that is ego-centred. In order to develop more sophisticated methods of predictive analytics or to understand organized crime trends within an overall ecosystem of criminal offending, a non-ego-centred approach based upon observed activities is required. In 2011, Public Safety Canada proposed just such an approach to counting organized crime by operationalizing the legal definition of "criminal organization." The approach was developed by Dr. Glässer, et al (2012) and elaborated in such studies as Bouchard, et al (2015). Although offering many advantages for a number of policy and operational purposes, a lack of police capabilities, investigative priorities and culture, can hamper the application of the methodology.