Dear all,
The Macquarie Minds and Intelligences Research Centre would like to invite you 
to the next public lecture.

  *
When: Tuesday, December 2nd at 12pm.
  *
Where: 17WW-G25 Lecture Theatre, Macquarie University (In-person event)

We are delighted to have Dr Eiko Fried from Leiden University present the 
following:

Studying Mental Health Problems as Systems, Not Syndromes
Abstract: Progress in understanding and treating mental health problems remains 
disappointing. I discuss two barriers that have contributed to a problematic 
oversimplification of mental illness. The first is diagnostic literalism, 
mistaking mental health problems for the diagnoses by which they are 
classified. The second is reductionism, the isolated study of individual 
elements of mental disorders. I propose conceptualizing people’s mental health 
states as outcomes emerging from complex systems of biological, psychological, 
and social elements, and show that this system's perspective helps us 
understand diagnoses and reductionism as useful epistemological tools for 
describing the world, rather than ontological convictions about how the world 
is. It provides new lenses through which to study mental illness, and new 
levers to treat them. Embracing the complexity of mental health problems 
requires opening our ivory towers to theories and methods from other fields 
with rich traditions, including network and systems sciences.

Bio: Eiko Fried obtained his PhD in clinical psychology at the Free University 
of Berlin, followed by four years of postdoctoral training in methodology in 
Belgium and the Netherlands. He now works as Associate Professor in Clinical 
Psychology at Leiden University. Eiko's research takes place at the 
intersection of mental health science and methodology, and his interests are 
how to best measure, predict, and understand mental health problems. His lab is 
currently focused on developing a personalised early warning system for 
depression<https://warn-d.eiko-fried.com>. Eiko loves burnt coffee and fast 
computers, and you can find his blog, publications and data 
online<https://eiko-fried.com>.

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