What is the Synthetic Population Catalyst tool? and how to use it?

What is the Synthetic Population Catalyst tool? and how to use it? === ###### tags: `AGS` `Demostration` `Urban Analytcs` `synthetic population` :::info Lead by: Fernando Benitez-Paez - Hadrien Salat :books: **Resources and useful links:** - **RampUA:** Initial project https://github.com/Urban-Analytics/RAMP-UA - **SPC Repo:** https://github.com/alan-turing-institute/uatk-spc - **SPC website:** https://alan-turing-institute.github.io/uatk-spc/ - **Urban Analytcs website:** https://www.turing.ac.uk/research/research-programmes/urban-analytics - **Protocol buffers:** https://developers.google.com/protocol-buffers/docs/overview ::: :dart: Agenda --- | Time | Activity | | -------- | -------- | | 5 Min | Introduction | | 10 Min | Brief Presentation | | 15 Min| Activity in HackMD| |5 Min | Disscusion and close up| :wave: IceBreaker ( 3 mins) --- *Please add your name on a new line below, and answer the icebreaker question:* **:question: Are you familiar with syhtetic population files and can you provide one example** * Your Name | Your example :desktop_computer: Definition of Open and Reproducibility (4 min) --- *Please write your name and definition of "Open" & "Reproducibility" as it relates to data science on the sections below.* **What is your definition of Open:** * solene: Free * Jack: plain language summaries :fire: * Urska: free and available, plus finable and usable :mount_fuji: * Vanessa: Available, free and accessible * Mary: Openly avialable for the public sult. * Corallie: downloadable, open-source, free, maintained * Jed: freely downloadable to anyone via the WWW * Aranya: something that is easily findable and accesible globally * Rhiannon: Something with no barriers to access (paywalls, institutional login etc) **What is your definition of Reproducibility:** * Urska: if someone takes my data and code they will get the same thing as i did. This is different from replicability, which is when someone makes the same experiment on another population and gets the same result :smiley_cat: * Jed: the combination of data, methodolody, and sequencing of computer commands necessary to completey recreate a given piece of analysis. * Vanessa:enough and clear instructiosn and data so that someoen can fully reproduce your research from begining to results * Mary: can be done again * Aranya: Something that can is clear enough to be done again * Rhiannon: Ability to follow methods and reproduce the same result * Same data, same calculations, same result * Jack: standardized tools and formats :warning: What are the Barriers to Reproducibility (4 min) --- *Please write your top-one barrier to reproducibility as it relates to **spatial data science** on the line below.* **Main Barriers to Reproducibility** * Jed: Sensitive location data, dynamic code/tool bases, it is not 'easy' enough * Beate: not sharing of data,limitation of computing power * Corallie: opaque methods; data entry errors * Urska: some data cannot be shared, e.g. health data tracking - anything that includes personal data from which people can be identified. how to ensure reproducibility in research that uses such data? :question: * Include fake or made up data of the same format/characteristics * Rhiannon: Bad code, unclear workflow, missing steps, not included with the paper. :handshake: Lets evaluate the reproducibility of our work (15 min) --- *Please include your name and one of your projects/repos/code and let others help you to identify how can be more reproducible on the line below.* * Fernando Benitez | **MagGeo** | https://github.com/MagGeo/MagGeo-Annotation-Program * Jed Long | wildlifeDI R Package | https://github.com/jedalong/wildlifeDI * Urska: Mouse-Eye tracking paper in Plos One, has all data + code as supp info, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0181818, code is also here: https://github.com/udemsar/EyeMouseInteraction * Vanessa: Cycling stratification from crowdsourced data paper in, code is available for replicability https://findingspress.org/article/10828-where-to-put-bike-counters-stratifying-bicycling-patterns-in-the-city-using-crowdsourced-data * :closed_book: Close out, pluses and deltas (5 mins) --- Before you leave, please add a key take away, something you liked (a plus), and something you’d change (a delta) below. ### Pluses * * ### Deltas * * *