Building a Practice of Data-Driven Decision-Making: Harvesting the Data

Building a Practice of Data Driven Decision Making: Harvesting the Data


Where: The Forefront Center for Meetings and Conferences
404 Wyman Street
Waltham, MA 02451

Directions
Carpool Information

When: Wednesday, October 30, 2019
9:00am - 3:00pm 
Note: Registration starts at 7:30am

Workshop Organizer: Kara Amana, Harvard Business School & Jing Qi, Dartmouth College

Registration Fee:
NERCOMP Member: 
Early-bird rate prior to September 18 - $123.25 (15% discount)
Rate September 18 and after - $145


Non Member:
Early-bird rate prior to September 18 - $246.50 (15% discount)
Rate September 18 and after - $290

The registration fee includes lunch and unlimited am and pm breaks.


Event Overview

Talk about data-driven decision-making is omnipresent but how do you actually establish a practice at your institution?  What is it?  Where do we get started?  How do we get buy in? 

Our aim with this first workshop is to focus on the beginning, data harvesting.  This workshop will be followed by two subsequent workshops throughout the year to address other aspects of this important topic:

Building a Practice of Data-Driven Decision-Making: Storytelling with Data, February 27, UMass Amherst
Building a Practice of Data-Driven Decision-Making: Driving Action with Data, June 11, Fairfield University

**Those that attend all three workshops will receive a certificate of completion**

The first step towards data-driven decision-making is ensuring that key data is accessible, which is where we’ll begin.  Before you can dive into collecting data you need to prepare by determining what data to target, who are your stakeholders, and what are the goals of your initiative.

In this workshop, we will first work on setting the stage before data harvesting and then transition to some discussion around actual harvesting of the data and lastly focus on what to do with the data once you have it.  Our afternoon will be focused on hands-on activities around data cleaning and manipulation using open source tools such as R. 

Session Outcomes:

-By the end of the session, participants should become familiar with the common terms around educational data, data harvesting and data-driven decision-making.
-By the end of the workshop, participants should be able to identify the types of data that can be used to address specific questions related to decision-making.
-By the end of the session, participants should be able to understand data structure, and use tools to tidy and manipulate data.





Registration Cancellation Policy:
By clicking on the "Order Now" button, you are indicating a commitment to attend and will be held responsible for the registration fee. Your fee can be refunded if you notify us of a cancellation at least 8 days prior to the event via email to nercomp@nercomp.org.

Event Disclaimer:
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