Lisa Spantig

@lisaspantig.com

5288 Followers 2224 Following

-- private account -- Observations about (academic) life. Interested in Behavioral, Development & Experimental Economics Current research: Financial Inclusion and Honesty www.lisaspantig.com

Screenshot von einem in Word geöffneten englisch-sprachigen Drittmittelantrag, der Teile der Seiten 5 und 6 zeigt. Es handelt sich um durchnummerierte Unterüberschriften 5.1.3 bis 5.8. Unter jeder Überschrift ist "n/a" - not applicable - vermerkt.
Screenshot von Powerpoint-Folie. Die Wörter "Kreativ-Wettbewerb" erscheinen vor einem bunten Hintergrund. Darunter steht schwarz auf weiß "Frauen in MINT-Berufen".
Close up photo of wrapped slices of seeded sourdough with a best before label that indicates "not for EU"
Screenshot of the email announcing Visilisa's talk, "Destructive Communication" with headshot, affiliation, title and abstract. The abstract reads: "Does communication always promote socially efficient behavior? We challenge this common proposition by showing that communication becomes destructive in polarized contexts. In an online experiment, we investigate what happens when participants who fundamentally disagree communicate. We exogenously vary the degree of polarization and the participants’ ability to communicate. When participants are sufficiently polarized, communication no longer improves trust and significantly reduces trustworthiness. Using natural language processing and supervised machine learning, we document that a substantial fraction of participants focus their communication on being polarized, leading to a destructive effect on both trust and trustworthiness. Our findings challenge the universality of contact theory, highlighting that communication may backfire in settings where parties hold opposing views."
Old and run-down metal filing cabinet with one drawer missing. This missing drawer stands upright next to the cabinet. The cabinet is empty and looks abandoned.
Screenshot of title, authors and abstract of a journal article published in the Journal of the European Economic Association. Title: Gender Bias in Teaching Evaluations Authors: Mengel, Sauermann, Zölitz Abstract: This paper provides new evidence on gender bias in teaching evaluations. We exploit a quasi-experimental dataset of 19,952 student evaluations of university faculty in a context where students are randomly allocated to female or male instructors. Despite the fact that neither students’ grades nor self-study hours are affected by the instructor’s gender, we find that women receive systematically lower teaching evaluations than their male colleagues. This bias is driven by male students’ evaluations, is larger for mathematical courses, and particularly pronounced for junior women. The gender bias in teaching evaluations we document may have direct as well as indirect effects on the career progression of women by affecting junior women’s confidence and through the reallocation of instructor resources away from research and toward teaching.
Photo of yesterday's demonstration in Cologne! A big square full of people
Screenshot from an email that shows metrics of the meeting. It lists a read score (82), an engagement score (91) and a sentiment score (73).
Eurostar train at St. Pancras International
Screenshot of a slide that presents the survey module. `Please imagine the host of a live radio show calls you to participate in a radio raffle. Your task is the following: you must flip a coin 4 times and report the number of `tails' you flipped. You will receive 10 pounds for each reported `tail'. You know that there is no way the host can verify whether you reported the true number of `tails' you flipped.' Imagine the unlikely case occurs that you flip 0 tails. How many tails will you report to the host? Imagine the unlikely case occurs that you flip 4 tails. How many tails will you report to the host?
The figure consists of four panels and shows the distribution of claimed payoffs in the mind game by IPT types in the student sample (n=331).
Bar chart of type distribution across the three samples. All four types are present in the three samples. The most prevalent type has low ILC and high SIC. The least prevalent type has high ILC and high SIC.
AI generated picture based on the following prompt: "A person stands at a forked path under a softly lit sky. On the left path, labeled “Truth,” bright light radiates forward, leading to an open horizon. On the right path, labeled “Falsehood,” shadows and twisting vines coil, hinting at uncertainty. Above the individual’s head, a subtle thought bubble or glowing scale tilts slightly in favor of truth, suggesting their preference or internal struggle. The person’s face appears reflective yet determined, conveying the choice to speak honestly even amidst potential conflict or complexity. Stylistically, imagine gentle, yet vivid colors—warm golds and cool blues—to emphasize the moral dimension of telling the truth. Incorporate symbolic elements like a feather (lightness of truth) and a chain (weight of falsehood). The overall composition should evoke the tension and reflection involved in deciding to uphold honesty."
Poster that advertises the 3rd Essex PhD Conference in Applied Economics. It will take place March 20th-21st, 2025 with Keynote Speakers Imran Rasul and Ben Etheridge. Website: https://www.essex.ac.uk/events/2025/03/20/3rd-essex-phd-conference-in-applied-economics Link to apply: https://essex.eu.qualtrics.com/jfe/form/SV_efdvjerfe9xDiqG
Picture of the screen inside the train showing planned and actual arrival time. Actual arrival time is one minute earlier than planned.
Screenshot from Xitter showing I deactivated my account (in German).
Plakat zur Veranstaltung "Wer mach hier das Schnäppchen? Das Geschäft mit unseren Daten" am 15. Oktober um 19 Uhr im Aachener Rathaus.
Screenshot of the visa photo requirements for Germany stating the following: The photo should meet the following requirements when applying for Germany visa: The photo size should be 35×45 mm or 1.37×1.77 inches. The photo should have been taken in the last six months. Your face should take up 70-80% of the picture. Full frontal view of the face must be displayed in the photo. The photo should be of high quality and accurately represent your true appearance. The background of the photo should be light grey. The photo should be sharp-focused, clear and properly contrasted. Red eyes, reflections in the photo and shadows across the face are not permitted. Lighting must be even (not too dark, not too bright). The image is to be printed on a high-quality paper, either glossy or matte. Print resolution of the photo must be 600 dpi minimum. The German embassy requires 2 identical photos to be submitted.
Picture stating that I was user number 400,134 when I joined on July 28 last year - among the first 10%
Sunrise at a small train station
Photo of around 40 conference participants on the TUM Heilbronn Campus
Beach with some rocks close the Hanken School of Economics
View from one of the university buildings toward our offices and the cathedral (5 minutes walking distance from the office to the cathedral)
ginko trees with yellow foliage in front of two RWTH buildings
Screenshot of a photo of and a text about Jörg Schieb
Screenshot of the settings menu that shows invite codes.