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--- atmos:dsp:workspace:fall2026:sophia_parde [2026/09/23 01:38] – created sophia.parde
+++ atmos:dsp:workspace:fall2026:sophia_parde [2026/10/01 22:51] (current) – [Week 4] update sophia.parde
@@ Line 37: / Line 37: @@
 ===== Project Question or Problem =====
-I am interested in researching :!:
+I am interested in researching
 ===== Project Brief =====
+**Project Title:**
+**Project Goal:**
+**Data Source:** Open-access scientific data
+**Method or Tools:** ArcGIS Pro
+**Expected Output:** Poster presentation
+**Why this project matters:** Limited localized (city-scale) datasets on the effects of the Black Death in medieval Europe
+===== Learning Goals =====
+  * Develop and maintain organized and accurate workflow documentation
+  * Identify and implement note-taking strategies to assist with managing and analyzing research data
+  * Efficiently work with and standardize large datasets containing inaccuracies while preserving original data
+===== Work Schedule =====
+  * Weekly Data Skills Pathway meeting: __Thursdays 5:30-6:20pm CT__
+  * Mentor meeting:
+  * Independent work time:
+===== Data Sources =====
+  * Data source 1:
+  * Data source 2:
+  * Data source 3:
+===== Tools and Skills =====
+  * Apple Numbers / .CSV files
+  * ArcGIS Pro
+  * Other visualization tools
+===== Papers and References =====
+  * Reference 1:
+  * Reference 2:
+  * Reference 3:
+===== Weekly Progress Updates =====
+==== Week 1 ====
+**Date:** __September 3-9, 2026__
+**What I completed:**
+  * Attended weekly meeting
+  * Completed pre-survey and syllabus quiz
+**What I learned:**
+  * Became familiar with course structure and expectations
+**Next steps:**
+  * Identify research area and project topic
+==== Week 2 ====
+**Date:** __September 10-16, 2026__
+**What I completed:**
+  * Attended weekly meeting
+  * Identified research area(s) + researched potential localities (Africa, Asia, Europe)
+  * Attempted to login to wiki and Jupyter sites
+**What I learned:**
+  * Received guidance on research area and choice of project topic
+**Paper, figure, dataset, tool, script or output shared:**
+  * Preferred project research area
+**Question or blocker:**
+  * Unable to login to wiki (no account)
+  * Unable to access Jupyter site (need UND VPN)
+  * Unable to find African or Asian city population datasets
+**What I tried:**
+  * Attempted to use personal VPN to access Jupyter site (did not work)
+**Next steps:**
+  * Attempt to login with wiki credentials once provided
+  * Attempt to download UND VPN onto computer to access Jupyter site
+  * Identify specific project topic + locality
+==== Week 3 ====
+**Date:** __September 17-23, 2026__
+**What I completed:**
+  * Attended meeting
+  * Logged into wiki and Jupyter site
+  * Created student workspace
+  * Researched city population datasets
+  * Downloaded data files onto Jupyter site
+**What I learned:**
+  * Basic Python commands on Jupyter site
+**Paper, figure, dataset, tool, script or output shared:**
+  * Student workspace
+  * Python outputs on Jupyter
+**Question or blocker:**
+  * Unable to download UND VPN onto computer (Linux distro not supported)
+**What I tried:**
+  * Attempted to download UND VPN on different computer (was successful)
+**Next steps:**
+  * Continue researching population datasets
+  * (Re)gather original data for project
+==== Week 4 ====
+**Date:** __September 24-30, 2026__
+**What I completed:**
+  * Located original project datasets online and in project folder
+  * Identified cities in China that experienced plague prior to 1340s
+  * Identified Chinese population sources (national and regional)
+**What I learned:**
+  *
+**Paper, figure, dataset, tool, script or output shared:**
+  *
+**Question or blocker:**
+  * Datasets in project folder and within files not organized - cannot identify what was done when or why
+**What I tried:**
+  * Attempted to sort project datasets by date (successful)
+  * Attempted to investigate most recent dataset file to identify initial and final sets (unsuccessful)
+**Next steps:**
+  * Continue to sort through project folder to find datasets of interest
+  * Begin to analyze original datasets (as sourced online) for geographic and/or mortality data