MAP HR Master Class: AI & Digital HR [04/2018]2018-09-17T08:10:13+00:00

Project Description

This Call for challenges has expired




MAP HR Master Class: AI & Digital HR

HTW Berlin




MAP HR Master Class: AI & Digital HR

HTW Berlin

Summary

Human Resources (HR) have been experiencing significant changes thanks to the evolution of digital technologies in the last decades. Artificial Intelligence (AI) is reshaping the way businesses are managing people, workforce plans to increase overall productivity and employee engagement. The HTW Berlin is looking for partners to collaborate with in Student Master Projects (approx. 12-14 weeks) to work on business challenges in regards to bring AI into human resource management (HRM).

Description

The Hochschule für Technik und Wirtschaft (University of Applied Sciences for Engineering and Economics) or HTW Berlin is the largest public University of Applied Sciences in Berlin and Eastern Germany. It has about 13,000 students and 70 programs in areas of engineering, computer science, business and graphic arts.

Objectives

In this course, students develop in groups of 4-5 students in the field of HR Technologies, centered around Artificial Intelligence and Machine Learning, applied concepts and scenario proposals. The project goal is provided by the company, which seeks an improvement in its HR organization or its HR information technology strategy.

Solutions

At the end of this master class, each group delivers a concept proposal. Example topics and applied fields can be:

• Aligning organization for its digital future
• HR Process Reengineering
• Team based organization design;
• Competence based organization designs;
• Improve HR operating mode;
• Digital Technologies in HR;
• Built market-driven organizations e.g. sales organization
• Knowledge Management
• Enterprise and Social Connectivity in HR
• Data Analytics in HR.

Methods

The master class will be coached by Prof. Dr. Kai Reinhardt, a full university professor and expert i the field of Organizational Development and International Strategy. Students apply modern project management and communication tools to the problem. Projects are seen and handled as “new ventures” – rather than from a classical educational perspective. With this approach, students will aim to deliver specific value to the project partner. Students will learn, to think in ‘customer stories’ and will learn to work highly result-driven.

Skills

CommunicationCritical thinking / problem-solvingAdaptability

Insights

 

DEGREE
Master
WORK EXPERIENCES
0 years
STUDENT AGE
25-34 years old
COUNTRY OF ORIGIN
GERMANY

Details

Challenge submission deadline:
16 February 2018

Solving the challenges start/end:
03 April 2018 – 27 July 2018

Course duration:
115 days

No. of challenges called:
1 challenge

No. of students:
45 students

Team size:
4 students / team

Solution output language:
German,English

Summary

 Human Resources (HR) have been experiencing significant changes thanks to the evolution of digital technologies in the last decades. Artificial Intelligence (AI) is reshaping the way businesses are managing people, workforce plans to increase overall productivity and employee engagement. The HTW Berlin is looking for partners to collaborate with in Student Master Projects (approx. 12-14 weeks) to work on business challenges in regards to bring AI into human resource management (HRM).

Description

 The Hochschule für Technik und Wirtschaft (University of Applied Sciences for Engineering and Economics) or HTW Berlin is the largest public University of Applied Sciences in Berlin and Eastern Germany. It has about 13,000 students and 70 programs in areas of engineering, computer science, business and graphic arts.

Objectives

 In this course, students develop in groups of 4-5 students in the field of HR Technologies, centered around Artificial Intelligence and Machine Learning, applied concepts and scenario proposals. The project goal is provided by the company, which seeks an improvement in its HR organization or its HR information technology strategy.

Solutions

 At the end of this master class, each group delivers a concept proposal. Example topics and applied fields can be:

• Aligning organization for its digital future
• HR Process Reengineering
• Team based organization design;
• Competence based organization designs;
• Improve HR operating mode;
• Digital Technologies in HR;
• Built market-driven organizations e.g. sales organization
• Knowledge Management
• Enterprise and Social Connectivity in HR
• Data Analytics in HR.

Methods

The master class will be coached by Prof. Dr. Kai Reinhardt, a full university professor and expert i the field of Organizational Development and International Strategy. Students apply modern project management and communication tools to the problem. Projects are seen and handled as “new ventures” – rather than from a classical educational perspective. With this approach, students will aim to deliver specific value to the project partner. Students will learn, to think in ‘customer stories’ and will learn to work highly result-driven.

Skills

CommunicationCritical thinking / problem-solvingAdaptability

Insights

 

Details

Challenge submission deadline:
16 February 2018

Solving the challenges start/end:
03 April 2018 – 27 July 2018

Course duration:
115

No. of challenges called:
1 challenge challenge

No. of students:
45

Team size:
4 students / team

Solution output language:
German,English

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MAP HR Master Class: AI & Digital HR

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This student learning experience is…

The Hochschule für Technik und Wirtschaft (University of Applied Sciences for Engineering and Economics) or HTW Berlin is the largest public University of Applied Sciences in Berlin and Eastern Germany. It has about 13,000 students and 70 programs in areas of engineering, computer science, business and graphic arts.

10.001-30.000
students

GERMANY
Berlin

This student learning experience is…

About HTW Berlin

The Hochschule für Technik und Wirtschaft (University of Applied Sciences for Engineering and Economics) or HTW Berlin is the largest public University of Applied Sciences in Berlin and Eastern Germany. It has about 13,000 students and 70 programs in areas of engineering, computer science, business and graphic arts.

10.001-30.000
students

GERMANY
Berlin

Challenge Submission

Although your prime goal may be to source “innovative” solutions in form of reports, analysis, prototypes and MVPs, undoubtedly you will get in contact with a very diverse group of student and faculty talents from all over the world.

Instantly, you will become and serve as a partner in promoting solutions by offering invaluable rapid feedback to students that collaborate with you as problem solvers based on your real-world experience and deep expertise.

To be more specific, as a digital challenge sponsor you bring context, real insights and data of a particular area to the table. You clarify, frame, and pitch your challenges prior to exploring solutions with your student teams.

Your collaboration efforts, will help student teams become thought after problem solvers with applied skill sets that will lead to better solutions overall.

As a challenge sponsor you gain access to the platform and respective call for challenges by subscribing to TELANTO´s Academic Business Network.

Suggestions

Interested challenge sponsors should be:

  • Subject matter experts in the field they are applying for, assuring a smooth collaboration with the responsible faculty and student teams.
  • Committed to a collaboration over a period of 12 weeks.
  • Available to spend approx. 10h in total to collaborate with the student teams.

Next Steps

Challenge applicants will be presented to the responsible faculty member for challenge review and pre-selection. If your proposal fits the course syllabus you will be invited to discuss your challenge during a 30 minutes scoping conversation with the professor.

Collaboration Process

Ready to start?

Challenge submission deadline:
16 February 2018

Solving the challenges start/end:
03 April 2018 – 27 July 2018

Solution output:
Report

Frequently Asked Questions

What about confidentiality?

Your information around challenges, collaboration and outputs is kept strictly confidential. While we use your company information and most likely logo and/or trademarks to present you to the academic partners, no third-party, which is not directly involved in the collaboration will never be granted access to sensitive information. As part of the Terms of use, all students agree to the confidentiality clause, when they log in to the network for the first time. Some of our clients choose to address confidentiality in a separate document.

I need to have certainty about any Intellectual and Industrial Rights originating from a collaboration!

The standard Terms & Conditions as well as the Terms of Use foresee, that students cede their IP-rights in favour of the company, when the company contributes to the resolution of the challenges, in terms of providing non-publicly available information, research, analysis, etc. and contribute otherwise with internal resources. A full reading of the Terms & Conditions is made available here: https://telanto.com/telanto-terms-conditions/.

How does the engagement model and collaboration work?

Our role-based platform structures and standardises the process in a simple and intuitive manner with a number of key interaction points, such as the kick-off, mid-term touch points and final presentation. The figure below illustrates the process with the three key roles, being the Challenge Sponsor (CS), Professor and the Student.

Is there any academic supervision of the students working on my challenges?

All collaborations promoted on the Academic Business Network are part of curricular or academically supervised extracurricular activities. For the greater part of the collaborations the challenges are worked on as part of the academic program of a specific course in a bachelor, master or MBA degree, so students performance is in direct correlation to the achievement of course credits and grades.

What is the typical collaboration period with teams of students?

Average collaboration periods take 75 days from kick-off to final presentation. New intense formats with shorter periods are currently experimented with to understand the quality and validity of potential solution outputs.

How much of my time is required to make a collaboration successful?

Half an hour every five to ten days are the standard reports we get from our customers in the higher satisfaction percentiles. Most of the time is required in the preparation, alignment and initial collaboration phase of the challenges.

Do I need to be at the university at some point in time during the engagement?

Half an hour every five to ten days are the standard reports we get from our customers in the higher satisfaction percentiles. Most of the time is required in the preparation, alignment and initial collaboration phase of the challenges.

What is the unique value proposition of TELANTO compared to its competitors?

TELANTO is the sole service provider of a truly global network of universities and companies for university-industry collaboration. With its proprietary technology TELANTO provides novel processes for academia to manage industry relations and collaborations with ease and equally does so for companies with a need for more innovation and problem solving power in search for new ways to detect smart talents.

My company has already University Alliances, do I need TELANTO?

Traditional university alliances are focussed on research and/or short term hiring activities. While those have their certain rationale, TELANTO creates an unprecedented transparency for collaboration possibilities in a broad range of areas, degrees and geographies at any given time. Professionals, managers and leaders within organisations get the possibility to tap into teams of students around the world to start tackle their challenges within much shorter timeframes and practically without bureaucratic effort, than with traditional models.

What type of outcomes can I expect from students?

Most frequent outcomes of collaborations are:

  • Concepts, Analysis and qualitative research
  • Experimental results and scenario projections
  • Prototypes, clickable mockups, MVPs

All in the context of a given challenge, field of study and respective degree as well as experience of the students.

As part of every Call for Challenges from professors, you will be able to consult past and/or expected outcomes for the challenge sponsor to understand the fit of the collaboration opportunity to your challenges at hand.

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