The future is in algorithms: Developing, controlling and owning algorithms

Bachelor Thesis, Master Thesis, Project Study

📌 Key facts

• Mission: The goal is to demonstrate how algorithms can be created, controlled and owned (property rights). You should also create an overview of no-code services for creating algorithms. • When: Start anytime. Applications are open! • How to apply: Send us an e-mail (at the end of this page) with your CV and a grade report and a tentative research idea (research question, data, and methods, possible outcomes with a tentative outline all in word as *.docx)

Contents

• 💡 Background
• 🦾Who We Are
• 🎯 Goals
• 🧠 Topics of Interest
• 🎓 Profile
• 📚 Further Reading
• 📄 Requirements to any Work
• 📬 How to Apply

💡 Background

With the advent of digitization, many things have changed dramatically. We are now in a Big Data era - and there is no end in sight, instead the flood of data will probably increase. Algorithms are crucial for evaluating these incredible amounts of data. This makes it all the more important to take a closer look at them. In your thesis, you should address diverse aspects of algorithms: How can algorithms be built - even without programming skills? What is the legal side of algorithms? How can they be controlled and owned?

🦾Who We Are

The Chair for Strategy and Organization is focused on research with impact. This means we do not want to repeat old ideas and base our research solely on the research people did 10 years ago. Instead, we currently research topics that will shape the future. Topics such as Agile Organizations and Digital Disruption, Blockchain Technology, Creativity and Innovation, Digital Transformation and Business Model Innovation, Diversity, Education: Education Technology and Performance Management, HRTech, Leadership, and Teams. We are always early in noticing trends, technologies, strategies, and organizations that shape the future, which has its ups and downs.

🎯 Goals

• Do extensive desk and internet research analyzing no-code services for algorithm creation, what are best practices?
• Research the legal background of algorithms, how are property rights structured?
• Structure and visualize your results
• You may also explore new trends and opportunities in algorithms

🧠 Topics of Interest

• Algorithms
• Big Data
• Property rights of digital resources
• Big trends - and how to profit from them

🎓 Profile

• Reliable and self-driven
• Enthusiasm for big data / algorithms / becoming active even without programming skills
• Ability to do sophisticated internet, desk research, and connect with practitioners
• Passionate to learn more about the future and do research with impact

📚 Further Reading

The future is algorithms, not code | Hacker Noon

Developer Support Engineer The current 'big data' era is not new. There have been other periods in human civilisation where we have been overwhelmed by data. By looking at these periods we can understand how a shift from discrete to abstract methods demonstrate why the emphasis should be on algorithms not code.

hackernoon.com

Why Algorithms Are The Future Of Business Success

There's a "secret currency" which has helped many of the world's biggest Exponential Organizations (ExOs) to scale beyond their wildest dreams. This "secret currency" is used by the world's top tech companies to not only rise to the top of their field, but to build long-lasting dynasties and become legendary.

blog.growthinstitute.com

What is an algorithm and why should you care? (video) | Khan Academy

what is an algorithm one definition might be a set of steps to accomplish a task you might have an algorithm for getting from home to school for making a grilled cheese sandwich or for finding what you're looking for in the grocery store in computer science an algorithm is

www.khanacademy.org

Is it Possible to Make Machine Learning Algorithms without Coding?

Orange is an open-source tool that allows us to perform a wide range of data-manipulation tasks such as data visualization, exploration, preprocessing and modeling creation without the need to use Python, R or any other piece of code. It's ideal if you're taking your first steps in this long learning-path.

towardsdatascience.com

How to build an algorithm in 6 steps

The word "Algorithm" is like the word "Artificial intelligence" or "Machine learning"; it's catchy and sounds important and useful, but, does anyone other than a scientist know what the word 'algorithm' actually means? In my opinion, too little attention is given to practical use cases written in a language that can be understood by non-technical professionals.

www.klipfolio.com

Who owns the code, who owns the algorithm, who owns the idea?

The only answer that's actually likely to be 100% correct is that it depends on your contract and local laws, talk to an IP lawyer to be sure. My personal experience in the field leads me to believe the following: Many contracts have clauses that say any actual work you do (i.e.

softwareengineering.stackexchange.com

https://www.csoonline.com/article/3565195/how-to-protect-algorithms-as-intellectual-property.html

https://softwareengineering.stackexchange.com/questions/154625/who-owns-the-code-who-owns-the-algorithm-who-owns-the-idea

https://bubble.io/?utm_source=google&utm_medium=cpc&utm_campaign=9515466206&utm_term=no%20coding&gclid=CjwKCAjwlYCHBhAQEiwA4K21mwOHKuv-92s06572WPxRuQq8eFS8I1_WAEF3iTSKlZmN3YFpLbAeGBoCXB0QAvD_BwE

https://microcredentials.digitalpromise.org/explore/creating-algorithms-2

https://medium.com/swlh/how-ai-will-redefine-the-way-we-think-about-ownership-e0821c6b2f30

https://www.theverge.com/2018/6/12/17452742/deep-learning-ai-learn-lobe-made-easy-coding

https://www.aafp.org/dam/AAFP/documents/journals/afp/algorithm-how-to.pdf

https://bryter.com/?utm_term=no%20code&utm_campaign=Leads-Search-No-code&utm_source=adwords&utm_medium=ppc&hsa_acc=8392625315&hsa_cam=12973127474&hsa_grp=123121585818&hsa_ad=519213185014&hsa_src=g&hsa_tgt=kwd-21276491&hsa_kw=no%20code&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=CjwKCAjwlYCHBhAQEiwA4K21m7EJ9gvCzkOUhfLFiovehSC7U_QTiBXMOoOiV0CbjBU1NNu0rH_cqBoCspwQAvD_BwE

https://home.timetonic.com/?gclid=CjwKCAjwlYCHBhAQEiwA4K21mxFJu66I0Lu0CNnHFBlIzlvpZQzD2ERnXnLtRX_bYPpeOEkYJC1C9hoCbkkQAvD_BwE

https://towardsdatascience.com/top-8-no-code-machine-learning-platforms-you-should-use-in-2020-1d1801300dd0?gi=27fb7858f115

https://serokell.io/blog/top-no-code-platforms

https://erikvdpluijm.medium.com/business-model-innovation-algorithms-smarter-search-for-new-business-models-part-2-870be08a2898

https://www.obviously.ai/

https://www.finnegan.com/en/insights/articles/a-start-up-s-most-common-patenting-mistake-protecting-inventions.html

https://arapackelaw.com/patents/softwaremobile-apps/are-machine-learning-algorithms-patentable/

https://goldsteinpatentlaw.com/can-you-patent-algorithm/

https://www.lexology.com/library/detail.aspx?g=02659151-af56-4617-ba3e-1d81bf35b843

https://iot.taylorwessing.com/ai-data-protection-and-data-ownership/

https://erikvdpluijm.medium.com/business-model-innovation-algorithms-smarter-search-for-new-business-models-part-2-870be08a2898

https://analyticsindiamag.com/top-10-tools-for-no-code-ai-ml/

https://hypersense.subex.com/lp/augmented-analytics/?utm_source=google-adwords&utm_medium=paid&utm_campaign=hypersense&gclid=CjwKCAjwlYCHBhAQEiwA4K21myavgDfZsaCM9di6-OP1Hs9vq38Pv8MviA1i5FDkFSfxEOA5StPnehoChaAQAvD_BwE

https://www.forbes.com/sites/enriquedans/2020/08/09/could-the-no-code-movement-put-programmers-out-of-ajob/?sh=5f1bc9102345

📄 Requirements to any Work

We do not want your research to gather dust in some corner of bookshelf but make it accessible to the world. Thus, we warmly encourage you to create some or all of the following:

• Infograph - visually represent some of your work (find examples here)
• Slide Deck - summarize your research and possibly present it
• Extract most important sequences from podcasts, videos, and other media
• 3-4 Tweets about the most important findings and summarizing the topic
• optional: Medium Article - let people outside the university know about your research and start your personal brand

📬 How to Apply

If you are interested, please contact Prof. Dr. Isabell Welpe (e-mail below) by submitting your CV and grade report. Please also briefly outline your tentative research idea (research question, data and methods, possible outcomes with a tentative outline all in word as *.docx)

We're greatly looking forward to hearing more about you!

👉 welpe@tum.de