2 - Empirical Research Methods in Medical Engineering [ID:47964]
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Okay.

So welcome to today's lecture of principles of empirical research method, medical engineering.

Today we'll be speaking about getting started and getting things done.

So first I'll introduce myself, although my colleague, the Agatpop has already done that for me.

So I'm Dharina Gold.

I did my bachelor's at the TU Darmstadt in English Studies and Computer Science.

Actually on authorship at tributions, my thesis was on authorship at tributions.

Then I did my master's also at the TU Darmstadt in linguistic and literary studies.

It was on semantic relations.

Then I did my PhD in Natural Language Processing at the University of Duisburg, Essen.

Also on semantic relations. And now for a year now I've been a scientist at Fragón Hófá EES.

So the agenda for today is what should I do concerning research?

How do I find the resources I need? How do I plan research?

Which is also knowing the limits of research plans. And what ethical issues should I consider as part of my research?

And also what makes research good?

So what should I do?

Deciding on what to do for research projects is a soft skill.

And deciding on what to do is also highly individual process depending on your preferences, time, so very individual.

However, you can learn to make better decisions and execute them more effectively.

And this is what we will do in this lecture or teach you specifically for research projects.

Often the process of deciding on a research project starts with asking what interests you.

Which is also a very important question. But however my answer has always been a lot and I'm not the only one.

That's the question alone does not help to guide you to find the answer to what should I do.

And in reality deciding on what you should do is in long iterative process and answering and re-answering a lot of questions.

Not only one. So you may get more than one answer to this process.

This is why it's sometimes hard to answer what should I do.

So now we'll follow up on several questions that might help.

So a few questions for the topic to consider are under the topic of self-knowledge.

Who am I considering the personality, the skills, your background in this case, your research background.

Then of course what do I enjoy doing, what I don't like doing.

And that also what interests me, which we just said on its own it's not a very useful question.

But in general it's an important question because you should be interested in what you're doing in your research.

Another question is what can I uniquely contribute to a specific topic or also given the skills and backgrounds that I have.

What skills do I have and do I want to apply?

What other commitments do I have to balance? For example, family work, volunteering, sports, etc.

How much time am I willing to commit to research project?

Meaning full time, part time, you're willing to do over hours or flexible work.

And how much resources am I willing to commit to research project in terms of social capital and money?

And what do I want to do and why do I want to do it?

So which goals do I may want to reach for that maybe?

Also what should also consider are strategic thoughts.

So what do I want to do in the future?

What do I want to be in one or two or three or five years from now and why?

And how could what I do now in this research project help me to get there to the desired future?

And what do I want to work with and why research groups, organizations, also the question, or maybe tools?

And what skills do I want to develop to get to my desired future? What do I not want to do in my future and why?

Although important is the knowledge about others. So who is available to work with?

Who can I collaborate with? Did I talk to them and verify whether they are available to work with me?

What are they working on and why?

What training opportunities do they offer to further skills?

Presenters

Dr. Darina Gold Dr. Darina Gold

Zugänglich über

Offener Zugang

Dauer

00:37:00 Min

Aufnahmedatum

2023-04-24

Hochgeladen am

2023-04-24 15:46:11

Sprache

en-US

Tags

methods Methods Research regression empirical quantitative Medical Engineering hypothesis testing study design qualitative ANOVA t-test interviews scientific writing
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