Topic: Canadian Census and other data We will give a high level overview over the tools to analyze, process and visualize Canadian data that we developed and use regularly in our workflows: CensusMapper and the {cancensus}, {cansim}, {cmhc}, {tongfen}, {canbank} and {canpumf} R packages. Speaker: Jens is the founder and president of MountainMath, a Vancouver […]
Topic: The Uncounted and the Unseen: Learning to Work with Dark Data Good policy starts with good data, and although we live in an increasingly data-rich era, the world of dark data is also growing. We know too little about global mortality, which inhibits healthcare interventions; similarly, we struggle to estimate the number of unhoused […]
Topic: Stop Parking in Bike Lanes - a Bike Lane Uprising Story Learn how to report bike lane obstructions with Bike Lane Uprising's mobile app. Hear firsthand how we got started and what we've been able to do to make biking safer. Speaker: After starting as a passion project, Bike Lane Uprising® spread via word […]
Topic: Building VoteInformer: Empowering Civic Engagement & Shaping an Informed Electorate We will talk a little bit about who we are as Baye Labs and what our aspirations for VoteInformer are. We will also run a quick demo and hope for feedback, no matter how harsh. We are in early stages. Speaker: Blair Ellis and […]
Topic: Automatic TTC Detour Detection with Transit Emily Gates from Transit will talk about the app's newly released functionality to detect and share info about TTC detours as they happen. Speaker: Emily is the Head of Service Delivery for Transit, North America's top rated multimodal public transportation trip planning app. She manages the Partner Success, […]
On October 31st, CARTE Industry Speaker Seminar Series welcomes Quentin Bartram from Morningstar. Title: Anomaly Detection – What to Do without Enough Data Abstract: Detecting anomalies in managed investment products is crucial for making timely investment decisions, yet limited data often hinders traditional detection methods. In this talk, "Anomaly Detection—What to Do Without Enough Data," […]