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👋 New here? This is one of many YSI projects happening around the world, all year round. All projects are hosted by members of the YSI community. They provide an opportunity to advance your knowledge, and build research collaborations around a pressing economic issue.

Virtual Project
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I’m an Economist: How much Coding Should I know?

Ongoing series

Start time:

November 15, 2022 @ 2:00 pm - 3:30 pm

Virtual Project
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EST

Location:

Online

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Speakers

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Thomas Herndon

John Jay Colleg

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Tim Fong

Data Scientist

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Pier-André Bouchard St-Amant

ENAP - École nationale d'administration publique

YSI Presenters

Description

How much coding should an economist learn?
Can coding help your research?
What language is useful? Latex? Stata? Python? R?
Are we all becoming data analysts and computer programmers?

Join us to get answers to these questions and more, with help from panelists:

Pier-André Bouchard St-Amant

Pier-André has a bachelors in mathematics, a masters, PhD and a Post-Doc in Economics. He specializes in the analysis and optimization of public policy reforms or business practices. He does so through simulated models, statistical analysis and other mathematical techniques (some call it "Business Intelligence" or "Data Science"). Pier-André's main job is at École nationale d'administration publique ("National School of Public Administration") a small postgraduate university training public servants. He also work with governments, private corporations and social groups. On top of all that, he teaches quantitative methods and economics to graduate students.

Thomas Herndon

Thomas is associate professor of economics at John Jay College, CUNY. He first became known for critiquing "Growth in a Time of Debt", a widely cited academic paper by Carmen Reinhart and Kenneth Rogoff supporting the austerity policies implemented by governments in Europe and North America in the early 21st century. His research concluded that these measures may not have been necessary. Watch his famous Colbert interview here.

Tim Fong

Tim is a Data Scientist with a diverse career background. He has worked with advertising, computer vision, and net worth data. He has an M.S. in Statistics from CUNY Baruch

Attendees

Dr Saad Alrayes

Farah Khan

Kalibbala Jonathan Mukisa

Adelia Fatikhova

Hasitha Chamara

Kurt Semm

Goncalo Fonseca

Étienne Desfossés

Kelsey Brown

Barbara Schuster

Kim Tùng Đào

Maria Goungor

Shubhangani Chaudhary

Khadim Rassoul Gueye

ERBİL ÇELİK

Santiago Padilla Quintero

Thobile Mawelela

Chiara Sciascia

Ananya Joshi

Sai Srujan Reddy

Juan Pablo Bonilla Bernal

Yaku Fernandez

Alex Giannico

Patrick Hallan

Heksa Nuryastuti

Giulian Etingin-Frati

Armin Aminian

Wenjian Wang

Talha Hashmi

Basel Mansour

Ana Catelén

cajsa klass

Daniyal Khan

Yisheng Yang

Neha Sharma

Jack Anderson

Gustavo Castillo

Yannick Oswald

Shanty Margaretha

Benjamin Skjold

Mark Kirstein

Danish Sarwar

Danish Sarwar

Annalisa Tassi

Jonah Wolf

Kladiola Gjini

Sangram Mane

Eli Shapiro

Laís Fernanda S. Souza

GOVINDAPURAM SURESH

J.Christopher Proctor

Krshtee Sukhbilas

Firdous Ahmad Malik

Ajibola Akanji

Salma Sakr

Diana Prelorenzo

Thalita Borges Oliveira

Rok Piletic

Sara Costa

Vincent Jerald Ramos

Monica DiLeo

Kosal Nith

Heske van Doornen

Ajibola Akanji

Ajibola Akanji

Bijan Valilou

Tania Ferreira de Oliveira

Emmanuel Umoru Haruna

Christopher Pomwene Shafuda

Hala Farhat

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