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ESMARConf

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Run events to support Open Source tools for evidence synthesis

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Events

ESMARConf is hosting the following events.

Event
08:00 AM UTC
Evidence Synthesis and Meta-Analysis in R Conference 2022

Attending


Top financial contributors

Individuals

1
Fiona French

$3,095 USD since Mar 2022

2
Neal R Haddaway

$800 USD since Jul 2021

3
Juan Gallego-Zamorano

$50 USD since Feb 2022

Organizations

1
Code for Science & Society

$17,000 USD since Sep 2021

2
Stockholm Environment Institute

$10,197.53 USD since May 2022

ESMARConf is all of us

Our contributors 8

Thank you for supporting ESMARConf.

Neal R Haddaway

Admin

$800 USD

Code for Scie...

$17,000 USD

Stockholm Env...

$10,198 USD

Fiona French

$3,095 USD

Juan Gallego-...

One-off: 50$

$50 USD

Budget


Transparent and open finances.

Conference support for ESMARConf and the Evidence Synthes...

Credit from Stockholm Environment Institute to ESMARConf

+$10,197.53USD
Completed
Added funds
Receipt #74241
-$440.00 USD
Paid
Receipt #73050
$
Today’s balance

$19,796.19 USD

Total raised

$27,872.92 USD

Total disbursed

$8,076.73 USD

Estimated annual budget

$30,987.17 USD

About


The Evidence Synthesis & Meta-Analysis in R Conference (#ESMARConf) is an annual conference that takes place entirely online. The core focus is in developing and validating tools to support evidence synthesis and meta-analysis in R. ESMARConf is run by the Evidence Synthesis Hackathon and led by an Organising Team consisting of Neal Haddaway, Matthew Grainger, Emily Hennessey, Ciara Keenan, Luke McGuinness, and Martin Westgate.

It features themed sessions of presentations and panel discussions, interactive workshops, and hackathons and codejams.

#ESMARConf2022 will be held in January 2022. We promise another exciting programme of content that addresses the following:
  • Presentations of packages designed to assist reviewers across evidence synthesis stages, from planning to communication
  • Demonstrations integrating evidence synthesis packages into an interoperable pipeline in R
  • Novel applications of R packages in an evidence synthesis context
  • Automating evidence synthesis in R
  • Assisting novices to R in performing evidence syntheses with the aid of graphical user interfaces

Our team