Difference between revisions of "Quantitative Impact Assessment Workshop"

From wiki
Jump to navigation Jump to search
m
 
(41 intermediate revisions by the same user not shown)
Line 1: Line 1:
{{#css:
+
{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}
*{
 
  box-sizing: border-box;
 
}
 
.column {
 
  float: left;
 
  width: 33%;
 
  padding: 0 10px;
 
}
 
/* Remove extra left and right margins, due to padding */
 
.row {margin: 0 -5px;
 
  margin-top: 20px;}
 
 
 
/* Clear floats after the columns */
 
.row:after {
 
  content: "";
 
  display: table;
 
  clear: both;
 
}
 
.card {
 
  box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2);
 
  padding: 10px;
 
  border: #F67C65 solid 2px;
 
}
 
 
 
/* For smaller screen sizes */
 
@media (min-width: 100px) and (max-width: 850px)
 
{
 
  .column {
 
    width: 100%;
 
    display: block;
 
    margin-bottom: 20px;
 
  }
 
}}
 
 
 
<div class="row"><div class="column"><div class="card">
 
      <h2>'''<small>[https://forms.office.com/r/AmCE5jynu9 Register Now!]</small>'''</h2>[[File:QIA Small Logo (1000 x 1000 px).png|alt=QIA logo|left|frameless|81x81px|QIA logo]]<p>Statistics Canada and the Treasury Board of Canada Secretariat invite you to participate in the third Quantitative Impact Assessment (QIA) workshop. </p><p></p></div>
 
  </div>
 
 
 
</div>
 
 
 
<p></p>
 
  
 
[[FR:Académie du numérique de l'EFPC]]
 
[[FR:Académie du numérique de l'EFPC]]
 
__NOTOC__
 
__NOTOC__
  
[[File:Website Products - Leadership Header Image 2000 (2).png|1300px]]
+
[[Atelier sur l'évaluation quantitative de l'impact|[Français]]]
 +
 
 +
[[File:QIA GCwiki Header (EN).png|frameless|1269x1269px]]
  
=<big>'''Welcome to the Canada School of Public Service Digital Academy'''</big>=
+
='''Quantitative Impact Assessment (QIA) Workshop (2024)'''=
 +
{|
 +
|+
 +
| scope="col" width="1200" |Statistics Canada (StatCan) and the Treasury Board of Canada Secretariat (TBS) have organized a four-day workshop on using QIA methods for program evaluation. Participants will learn the strengths and limitations of QIA methods and how to better leverage data.
 +
|}
  
The CSPS Digital Academy provides public servants with the skills and knowledge they need to deliver digital-era programs, policies, and services.
 
  
It supports the principles of Canada's [https://www.canada.ca/en/privy-council/services/blueprint-2020/beyond-2020.html Beyond2020] initiative for an agile, inclusive and equipped workforce and advocates for a digital-first approach that aligns with Canada's [https://www.canada.ca/en/government/system/digital-government/government-canada-digital-standards.html Digital Standards]. These ten digital standards form the foundation of the government's shift to becoming more agile, open and user-focused.
 
  
*[https://www.csps-efpc.gc.ca/video/digital-government-canada-eng.aspx Video: How to Be Digital in the Government of Canada (DDN2-V14)] - This video shows you how you can increase your team's performance while changing how we plan and deliver programs and services in a digital government.
+
{|
 +
|-
 +
| scope="col" width="80" |'''Date'''
 +
| scope="col" width="115" |'''Time'''
 +
| scope="col" width="670" |'''Description'''
 +
| scope="col" width="125" |'''Language'''
 +
| scope="col" width="210" |'''Link to Agenda and Materials'''
 +
|-
 +
|
 +
|
 +
|
 +
|
 +
|
 +
|}
  
='''<small>Digital and data learning</small>'''=
+
=='''<small>Session 1 - Fundamentals</small>'''==
Explore a range of foundational courses, job aids and other learning tools on a variety of digital and data themes. Topics include digital government, product management, Agile, service design, the cloud, cyber security, data, AI, and digital-era leadership.
+
{|
 +
|+
 +
| scope="col" width="80" |'''March 19'''
 +
| scope="col" width="115" |9am-12pm (ET)
 +
| scope="col" width="670" |''Fundamentals'' provides a comprehensive overview of QIA concepts. Participants will learn the difference between program outcomes and program impacts, and be introduced to the common approaches to QIA (such as difference-in-differences, discontinuity estimators, and more). This session also offers a detailed overview of randomized controlled experiments – the gold standard of QIA.
 +
| scope="col" width="125" |English with bilingual materials
 +
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Fundamentals|Session 1 - Agenda and Materials <small>[click here]</small>]]
 +
|}
  
[https://www.csps-efpc.gc.ca/digital-data/index-eng.aspx Digital and data learning]
+
=='''<small>Session 2 - Data</small>'''==
 +
{|
 +
|+
 +
| scope="col" width="80" |'''March 21'''
 +
| scope="col" width="115" |9am-12pm (ET)
 +
| scope="col" width="670" |''Data'' provides an overview of the data environments available through Statistics Canada. Participants will learn about performing custom tabulations and multivariate analysis, with specific emphasis on the availability of gender and diversity data and Quality of Life data. This session explains how to access existing microdata and overcome data gaps.
 +
| scope="col" width="125" |English with bilingual materials
 +
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Data|Session 2 - Agenda and Materials <small>[click here]</small>]]
 +
|}
  
=='''<small>CSPS Digital Accelerator</small>'''==
+
=='''<small>Session 3 - Case Studies I</small>'''==
The CSPS Digital Accelerator is an applied learning experience designed for individuals and teams who want to adopt digital best practices and experiment with more collaborative, open, human-centred and iterative ways of defining problems and developing solutions.
+
{|
 +
|+
 +
| scope="col" width="80" |'''March 26'''
 +
| scope="col" width="115" |9am-12pm (ET)
 +
| scope="col" width="670" |''Case Studies I'' focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage social data. The methods covered are (1) empirical density design, (2) hierarchical linear modelling, and (3) propensity score matching and difference-in-differences.
 +
| scope="col" width="125" |English with bilingual materials
 +
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Case Studies I|Session 3 - Agenda and Materials <small>[click here]</small>]]
 +
|}
  
[https://gcxgce.sharepoint.com/teams/1000585/SitePages/Digital-Ac.aspx Learn more about the CSPS Digital Accelerator]
+
=='''<small>Session 4 - Case Studies II</small>'''==
 +
{|
 +
|+
 +
| scope="col" width="80" |'''March 28'''
 +
| scope="col" width="115" |9am-12pm (ET)
 +
| scope="col" width="670" |''Case Studies II'' also focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage business microdata. The methods covered are (1) propensity score matching and entropy balancing, (2) matching difference-in-differences, and (3) modified causal forest.
 +
| scope="col" width="125" |English with bilingual materials
 +
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Case Studies II|Session 4 - Agenda and Materials <small>[click here]</small>]]
 +
|}
  
=='''<small>Stay connected with the CSPS Digital Academy</small>'''​==
+
=='''<small>Stay connected</small>'''​==
  
*[https://www.csps-efpc.gc.ca/digital-academy/da-newsletter-subscribe-eng.aspx Subscribe to Digital Academy Newsletter]
+
* [[gccollab:groups/profile/2355040/business-innovation-and-growth-support-bigs-program-data-community-of-practice-communaut-de-pratique-des-donn-es-scie|Join the Business Innovation and Growth Support Data Community of Practice]]
*[https://gcxgce.sharepoint.com/teams/1000585/ Follow Digital Academy on GCxchange]
+
*[mailto:dsrd-sdrd@tbs-sct.gc.ca Contact the Data Science, Research and Development unit]
*[https://twitter.com/DigiAcademyCAN Follow Digital Academy on Twitter]​
 
*[mailto:Digitalacademy-academiedunumerique@csps-efpc.gc.ca Contact the CSPS Digital Academy] ​
 
*[https://www.csps-efpc.gc.ca/about_us/business_lines/digitalacademy-eng.aspx About us]
 
  
 
__INDEX__
 
__INDEX__
 
__NEWSECTIONLINK__
 
__NEWSECTIONLINK__
 +
__NOEDITSECTION__

Latest revision as of 13:30, 11 March 2024


[Français]

QIA GCwiki Header (EN).png

Quantitative Impact Assessment (QIA) Workshop (2024)

Statistics Canada (StatCan) and the Treasury Board of Canada Secretariat (TBS) have organized a four-day workshop on using QIA methods for program evaluation. Participants will learn the strengths and limitations of QIA methods and how to better leverage data.


Date Time Description Language Link to Agenda and Materials

Session 1 - Fundamentals

March 19 9am-12pm (ET) Fundamentals provides a comprehensive overview of QIA concepts. Participants will learn the difference between program outcomes and program impacts, and be introduced to the common approaches to QIA (such as difference-in-differences, discontinuity estimators, and more). This session also offers a detailed overview of randomized controlled experiments – the gold standard of QIA. English with bilingual materials Session 1 - Agenda and Materials [click here]

Session 2 - Data

March 21 9am-12pm (ET) Data provides an overview of the data environments available through Statistics Canada. Participants will learn about performing custom tabulations and multivariate analysis, with specific emphasis on the availability of gender and diversity data and Quality of Life data. This session explains how to access existing microdata and overcome data gaps. English with bilingual materials Session 2 - Agenda and Materials [click here]

Session 3 - Case Studies I

March 26 9am-12pm (ET) Case Studies I focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage social data. The methods covered are (1) empirical density design, (2) hierarchical linear modelling, and (3) propensity score matching and difference-in-differences. English with bilingual materials Session 3 - Agenda and Materials [click here]

Session 4 - Case Studies II

March 28 9am-12pm (ET) Case Studies II also focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage business microdata. The methods covered are (1) propensity score matching and entropy balancing, (2) matching difference-in-differences, and (3) modified causal forest. English with bilingual materials Session 4 - Agenda and Materials [click here]

Stay connected