Cited by 2Evaluation and Performance AssessmentICT in Developing CommunitiesAdvanced Causal Inference Techniques

Information and Communication Technologies for Evaluation (ICT4Eval)

García, Oscar A., Pulkkinen, Jyrki, Kotturi, Prashanth·2019·Information and Communication Technologies for Development Evaluation

Abstract

This chapter offers several examples from institutions, ranging from international financial institutions to private-sector firms and international non-governmental organizations. The conference on Information and Communication Technology for Evaluation, organized by International Fund for Agricultural Development in 2017, aimed to identify ways in which technology could bridge the gaps in data for Sustainable Development Goals. Evaluations have historically depended on document reviews, observations and interviews during field visits for qualitative data. In the development sector, wireless devices are increasingly being used to collect monitoring and evaluation data. Evaluations can contribute to improving the quality of decision-making by providing timely feedback and rigorous evidence on effectiveness of development programmes. Geospatial tools have enhanced the Global Environment Facility evaluation team’s ability to undertake analysis efficiently and cost-effectively at project, national, global and ecologically meaningful scales. The challenge is to devise ways to use the strength of machine learning to improve causal inference and impact evaluation methods.

Integrity signals

Registry

Crossref · 10.4324/9780429028236-3

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
García, O. A., Pulkkinen, J., & Kotturi, P.
Venue
Information and Communication Technologies for Development Evaluation
Publisher
Routledge
Published
2019-07-09
Pages
27-75
OpenAlex
W2960553170
Cited by
2
References
1
Citations by year
2023: 1 · 2020: 1
FWCI
0.40
Type
book chapter
Language
en
Open access
closed
Locations
Routledge eBooks (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords
monitoring and evaluation, Sustainable Development Goals, data collection, wireless data collection, geotechnologies, machine learning, causal inference, impact evaluation, development programmes, International Fund for Agricultural Development, Global Environment Facility, decision-making

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review