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Tag: research

Algorithms that describe a researcher’s mind

Algorithms that describe a researcher’s mind: (a) Work on the paper “closest to publication”. => downside: can reduce the willingness to solve difficult problems because they are farther from publication (b) Always switch to more interesting topic, when you see one. => downside: you’ll never get anything published (but upside can be that you learn a lot about different topics,…

Tips on Data Imputation From Machine Learning Experts

Missing values are a critical issue in statistics and machine learning (which is “advanced statistics”). Data imputation deals with ways to fill those missing values. Andriy Burkov made this statement a few days ago [1]: “The best way to fill a missing value of an attribute is to build a classifier (if the attribute is binary) or a regressor (if…

Social media marketing for researchers: How to promote your publications and reach the right people

Today the Social Computing group at Qatar Computing Research Institute had the pleasure of listening to the presentation of Luis Fernandez Luque about social media marketing for researchers. Luis talked about how to promote your publications and personal brand, as well as how to reach the right people on social media with your research. Luis is one of the most…

Startups! Are you using a ‘mean’ or an ‘outlier’ as a reference point?

Introduction This post is about startup thinking. In my dissertation about startup dilemmas [1], I argued that startups can exhibit what I call as ‘reference point bias’. My evidence was emerging from the failure narratives of startup founders, where they reported having experienced this condition. The reference point bias is a false analogy where the founder compares their startup with…

Experimenting with IBM Watson Personality Insights: How accurate is it?

Introduction I ran an analysis with IBM Watson Personality Insights. It retrieved my tweets and analyzed their text content to describe me as a person. Doing so is easy – try it here: https://personality-insights-livedemo.mybluemix.net/ I’ll briefly discuss the accuracy of the findings in this post. TL;DR: The accuracy of IBM Watson is a split decision – some classifications seem to…

How to teach machines common sense? Solutions for ambiguity problem in artificial intelligence

Introduction The ambiguity problem illustrated: User: “Siri, call me an ambulance!” Siri: “Okay, I will call you ‘an ambulance’.” You’ll never reach the hospital, and end up bleeding to death. Solutions Two potential solutions: A. machine builds general knowledge (“common sense”) B. machine identifies ambiguity & asks for clarification from humans The whole “common sense” problem can be solved by…

Analyzing sentiment of topical dimensions in social media

Introduction Had an interesting chat with Sami Kuusela from Underhood.co. Based on that, got some inspiration for an analysis framework which I’ll briefly describe here. The model Figure 1 Identifying and analyzing topical text material The description User is interested in a given topic (e.g., Saara Aalto, or #saaraaalto). He enters the relevant keywords. The system runs a search and…

Defining SMQs: Strategic Marketing Questions

Introduction Too often, marketing is thought of being advertising and nothing more. However, already Levitt (1960) and Kotler (1970) established that marketing is a strategic priority. Many organizations, perhaps due to lack of marketers in their executive boards, have since forgotten this imperative. Another reason for decreased importance of marketing is due to marketing scholars pushing the idea that “everything…

Meaningless marketing

I’d say 70% of marketing campaigns have little to no real effect. Most certainly they don’t have a positive return in hard currency. Yet, most marketers spend their time running around, planning all sorts of campaigns and competitions people couldn’t care less of. They are professional producers of spam, where in fact they should be focusing on core of the…