-
I am a Teaching and Research Associate at the Institute for Retailing & Data Science and a PhD Student in Economics and Social Sciences at the Vienna University of Economics and Business.
My research interests encompass Quantitative Marketing, Platform Economics, Human Brand Scandals, Pro-Social Behavior, and Emerging Technologies. My research delves into the impact of various stakeholders on the music industry, including streaming and social media platforms, activist groups, and innovations in content delivery and promotion. Furthermore, I am actively exploring recent advancements in applied econometrics, such as novel difference-in-differences estimators and integrating machine learning with traditional econometric models.
+
I am a PhD Candidate in Economics at the Vienna University of Economics and Business and a research associate in the Marketing Department at the Institute for Retailing & Data Science.
My research focuses on Quantitative Marketing, Platform and Social Media Analytics, and the Economics of the Music Industry. I explore how key stakeholders—such as streaming platforms, social media, activist groups, and technological innovations in content delivery and promotion—affect the dynamics of the music industry. Methodologically, I am interested in advancing applied econometrics, particularly in developing new difference-in-differences estimators and integrating machine learning with traditional econometric techniques.
diff --git a/index.qmd b/index.qmd
index bd04a9b..90a1a12 100644
--- a/index.qmd
+++ b/index.qmd
@@ -24,10 +24,10 @@ Welthandelsplatz 1
::: {.column width="60%"}
-I am a Teaching and Research Associate at the Institute for Retailing & Data Science and a PhD Student in Economics and Social Sciences at the Vienna University of Economics and Business.
+I am a PhD Candidate in Economics at the Vienna University of Economics and Business and a research associate in the Marketing Department at the Institute for Retailing & Data Science.
-My research interests encompass Quantitative Marketing, Platform Economics, Human Brand Scandals, Pro-Social Behavior, and Emerging Technologies. My research delves into the impact of various stakeholders on the music industry, including streaming and social media platforms, activist groups, and innovations in content delivery and promotion. Furthermore, I am actively exploring recent advancements in applied econometrics, such as novel difference-in-differences estimators and integrating machine learning with traditional econometric models.
-
+My research focuses on Quantitative Marketing, Platform and Social Media Analytics, and the Economics of the Music Industry. I explore how key stakeholders—such as streaming platforms, social media, activist groups, and technological innovations in content delivery and promotion—affect the dynamics of the music industry.
+Methodologically, I am interested in advancing applied econometrics, particularly in developing new difference-in-differences estimators and integrating machine learning with traditional econometric techniques.
* [Curriculum Vitae](./files/CV_Winkler.pdf)
diff --git a/search.json b/search.json
index c1520e9..32812bc 100644
--- a/search.json
+++ b/search.json
@@ -74,7 +74,7 @@
"href": "index.html",
"title": "Hello and Welcome!",
"section": "",
- "text": "Hello and Welcome!\n\n\n\nDepartment of Marketing Vienna University of Economics and Business Building D2, Entrance A Welthandelsplatz 1 1020, Vienna\ndw@dwinkler.org\n\n\n\nI am a Teaching and Research Associate at the Institute for Retailing & Data Science and a PhD Student in Economics and Social Sciences at the Vienna University of Economics and Business. My research interests encompass Quantitative Marketing, Platform Economics, Human Brand Scandals, Pro-Social Behavior, and Emerging Technologies. My research delves into the impact of various stakeholders on the music industry, including streaming and social media platforms, activist groups, and innovations in content delivery and promotion. Furthermore, I am actively exploring recent advancements in applied econometrics, such as novel difference-in-differences estimators and integrating machine learning with traditional econometric models.\n\nCurriculum Vitae"
+ "text": "Hello and Welcome!\n\n\n\nDepartment of Marketing Vienna University of Economics and Business Building D2, Entrance A Welthandelsplatz 1 1020, Vienna\ndw@dwinkler.org\n\n\n\nI am a PhD Candidate in Economics at the Vienna University of Economics and Business and a research associate in the Marketing Department at the Institute for Retailing & Data Science. My research focuses on Quantitative Marketing, Platform and Social Media Analytics, and the Economics of the Music Industry. I explore how key stakeholders—such as streaming platforms, social media, activist groups, and technological innovations in content delivery and promotion—affect the dynamics of the music industry. Methodologically, I am interested in advancing applied econometrics, particularly in developing new difference-in-differences estimators and integrating machine learning with traditional econometric techniques.\n\nCurriculum Vitae"
},
{
"objectID": "software.html",