MERL Tech DC 2019 has ended

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MERL Tech DC 2019

#1

Opening Talk: What’s next for data science in development?

#2

MERL Tech State of the Field

#3

Welcome to MERL Tech

#4

MERL Tech Dashboard Contest!

#5

Registration and Meet & Greet

#6

Welcome to Day 2 of MERL Tech!

#7

Opening Talk: Ethical Tech Practices in Development -- How Can We All Do Better?

#8

Long Break

#9

Decolonizing Data and Technology in MERL

#10

Lunch and Demo Tables

#11

Happy Hour and Fail Fest

#12

Short Break

#13

Does Your Tech Spark Joy? The Minimalist's Approach to MERL Tech

#14

Understanding How DFID Makes Decisions: The Role of Portfolio-Level MERL

#15

How to Measure Local Ownership within Development Projects

#16

Short Break

#17

Short Break

#18

Turning Data into Meaningful Information

#19

Lunch

#20

Closing Session

#21

Machine Learning to Measure Impact with Remotely Sensed Imagery and Vector Data

#22

Registration and Meet & Greet

#23

Network Nodes That Fit Your Data Style

#24

Long Break

#25

Let's talk about a MERL Open Source Marketplace

#26

A Blockchain Success Story: Global Food Safety

#27

Lessons from 'Aqoonta': Delivering a Digital Third-Party Monitoring Platform

#28

Rights, Literacy, Control and Choice

#29

The Face of a Fairer Future

#30

Why MERL Needs Shared Knowledge Infrastructure -- And What It Can Learn from Open Science

#31

Can You Keep It All Going?

#32

Long Break

#33

Stories from Our Litter

#34

Paving over Digital Health "Pilotitis" in Nepal

#35

Reading Schematics Before Designing Your Robot: The Story of BecaXR

#36

10-Day Handwashing Challenge: A Digital Tool for Habit Formation in a Low-Income Context

#37

Integrating Big Data into the Evaluation of Complex Development Programs

#38

Side Event: Happy Hour with DevResults

#39

ICT4Eval Book Launch!

#40

The Role of Tech in the Organizational Journey to Better Data Management and Use

#41

Short Break

#42

No Data, No Problem: Extracting Insights from Data-Poor Environments

#43

Managing Development Data Across the Data Lifecycle

#44

Practical Artificial Intelligence: The Good, Bad, and Ugly of Real-World Machine Learning Experiments

#45

Beyond "Make vs. Buy": Making MERL Tech Work for YOU

#46

Building Bridges Between Data Scientists and Evaluators: A Review of Trends and Challenges in Recent MERL Tech Conferences

#47

From Words To Wisdom: Everyday Tools to Visualize Qualitative Data

#48

The Secret Life of Dashboards: How to Transform Your Data into Dashboards That Can Promote Data-Driven Decision-Making

#49

Harnessing Low-Cost, User-Friendly Google Resources for MERL

#50

Data Approaches in Hard-to-Reach Places