2018 Impact Summit

A series of short, dynamic presentations using the Pecha Kucha format of 20 slides x 20 seconds.

Using GIS to Create Small Area Demographic Profiles  
Presenter: Steven Aviles  
Description: This presentation will examine the use of Geographic Information System (GIS) and geospatial analysis in creating a small area profile. When conventional geographic boundaries do not adhere to a study area and data becomes unreliable at a certain geographic scale, GIS can be used to solve these problems. Using examples from the Twin Cities, this presentation will demonstrate GIS methods and describe which geographies to use when most appropriate.

"Small area data visualization – Tools to access socio-economic data from the Census of Population  Presenter: Geoffrey Li  
Description: Enhance your analysis with small-area maps! Socio-economic indicators from the Canadian Census of Population can be easily accessed via the data visualization tools available from Statistics Canada.  This presentation will serve as a quick introduction to the different visualization tools that can be accessed from the Census web module, and demonstrate the functionality of the Census Program Data Viewer (CPDV).  

Crowdsport and Participatory GIS  
Presenter: Melanie  Davern  
Description:

The Power of Aligning Data Measurements Across Community Strategies  
Presenter: Mary Beth Lawler
Description: Discover how to align common measurement tools across common programs reporting on the same strategies. Communities strive to see what is happening in real time and see results across all programs  This data collection method will allow funders to see results across specific set segments and this will allow grantees to see results and make adjustments to service delivery to increase their results.

More isn’t always more: Everything you don’t need to worry about with web analytics 
Presenter: Julian Kittelson-Aldred  
Description: So you’ve installed a web analytics product (e.g. Google Analytics) on your community website…what next? Indictor projects often don’t have the same goals as commercial websites, which means that getting meaningful data out of business-oriented analytics products requires some creative thinking. I’ll share some tips that Minnesota Compass learned during a recent external evaluation about what analytics matter and when to discard the rules.

Census and Survey Data from Around the World - An Introduction to IPUMS International  
Presenter: David  Van Riper  
Description: Community indicator projects are increasingly international in scope, and they require data from different countries’ censuses and surveys. IPUMSInternational, part of the University of Minnesota’s Institute for Social Research and Data Innovation,lowers the barrier to accessing these data. IPUMS International contains over a billion microdata records, detailing the complete responses from individuals and households from 345 censuses and surveys in 89 countries. This presentation will describe our data holdings, acquisition strategy, harmonization of variables across space and time, data access system, and the geographic detail available in the microdata. We will also describe a new product that will provide small-area census data for countries not currently in IPUMS International.

Using Machine Learning to Analyze Barriers to Trade 
Presenter: Anton Prokopyev  
Description: The World Bank, in collaboration with United Nations Conference on Trade and Development (UNCTAD), is aiming to remedy gaps in trade, tariff and non-tariff measures data collection and dissemination and to place financing of associated databases and analytical tools on a firm foundation. We aim to facilitate the process of identifying NTMs in official documents with automation using machine learning and thus save valuable donor resources for solving of other problems.